Alternatives to Shaped
Compare Shaped alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Shaped in 2026. Compare features, ratings, user reviews, pricing, and more from Shaped competitors and alternatives in order to make an informed decision for your business.
-
1
Qloo
Qloo
Qloo is the “Cultural AI”, decoding and predicting consumer taste across the globe. A privacy-first API that predicts global consumer preferences and catalogs hundreds of millions of cultural entities. Through our API, we provide contextualized personalization and insights based on a deep understanding of consumer behavior and more than 575 million people, places, and things. Our technology empowers you to look beyond trends and uncover the connections behind people’s tastes in the world around them. Look up entities in our vast library spanning categories like brands, music, film, fashion, travel destinations, and notable people. Results are delivered within milliseconds and can be weighted by factors such as regionalization and real-time popularity. Used by companies who want to incorporate best-in-class data in their consumer experiences. Our flagship recommendation API delivers results based on demographics, preferences, cultural entities, metadata, and geolocational factors. -
2
Algolia
Algolia
Algolia is a search and discovery API platform for building powerful and composable experiences while solving for relevance with AI and configurable rules. Algolia Search enables our customers to design and implement unique search experiences using the design language of their choice. Algolia Recommend is a robust API that allows you to add “frequently bought together” and “related items” into any digital experience with as little as 6 lines of code.Starting Price: $0 -
3
Luigi's Box
Luigi's Box
Luigi's Box is a search and discovery solution designed specifically for e-commerce websites to improve the customer experience and achieve desired revenue. Search Recommender Product Listing Shopping Assistant Analytics Through years of operation, Luigi's Box earned several awards. Our advanced features helped companies such as Under Armour, Nespresso and Notino to successfully increase search usage and conversions. Luigi's Box is easy to use and has a user-friendly interface, making it suitable for businesses of all sizes and kinds. We understand that e-commerce businesses have unique needs, and a good product discovery solution should offer a range of advanced features to allow them to tailor the search experience to their specific needs. Luigi's Box offers a quick and easy integration that doesn’t require deep technical knowledge. You need to just paste the tracking script into the header of your web. We also offer various types of implementation to choose from.Starting Price: See our Pricing -
4
Amazon Personalize
Amazon
Amazon Personalize enables developers to build applications with the same machine learning (ML) technology used by Amazon.com for real-time personalized recommendations – no ML expertise required. Amazon Personalize makes it easy for developers to build applications capable of delivering a wide array of personalization experiences, including specific product recommendations, personalized product re-ranking, and customized direct marketing. Amazon Personalize is a fully managed machine learning service that goes beyond rigid static rule based recommendation systems and trains, tunes, and deploys custom ML models to deliver highly customized recommendations to customers across industries such as retail and media and entertainment. Amazon Personalize provisions the necessary infrastructure and manages the entire ML pipeline, including processing the data, identifying features, using the best algorithms, and training, optimizing, and hosting the models. -
5
Segmentify
Segmentify
If you’re looking for a personalisation solution to increase sales, boost customer engagement and provide better insights into your customers than other solutions then look no further. Imagine a tool that already knew your customer's preferences before they landed on your site, and was able to recommend the right products to the right customer at the right time. Segmentify creates a personalised shopping experience across every customer touchpoint in real-time, giving you the best advantage over your competition. Powered by machine-learning technology, Segmentify tracks and targets individual website visitors according to their unique online buying habits better than any personalisation platform on the market. Don’t take our word for it - Forbes mentioned us as one of the top machine learning companies to watch!Starting Price: $750.00/month -
6
Utelly
Synamedia Utelly
Metadata aggregation, AI/ML enrichments, search & recommendation APIs, CMS, and promotion engine: Utelly brings the best content discovery toolkit for TV & OTT clients. We ingest core metadata catalogs to provide a universal view of the content available, along with ingesting individual feeds which are matched with the core metadata to provide an enriched unified dataset ready for powering content discovery. Our AI enrichment modules allow sparse data sets to be enhanced and then used to achieve improved content discovery experiences. Our search can be indexed on individual catalogs or a universal dataset, to provide an entertainment-focused search capability which is a future-proof approach to providing your customers with a great search experience. Our powerful recommendation engine leverages the latest ML/AI techniques to generate personalized recommendations based on key indicators identified throughout a user life cycle along with ingesting datasets.Starting Price: Free -
7
Earn your customers’ trust and loyalty by proving how well you understand them. Google has spent years delivering recommended content across flagship properties such as Google Ads, Google Search, and YouTube. Recommendations AI draws on that experience and expertise in machine learning to deliver personalized recommendations that suit each customer’s tastes and preferences across all your touchpoints. Give customers more of what they love. No need to preprocess data, train or hyper-tune machine learning models, load balance, or manually provision your infrastructure to handle unpredictable traffic spikes. We do it all for you automatically. Take advantage of Google's expertise in recommendations, powered by state-of-the-art machine learning models. They can correct for bias and seasonality and excel in scenarios with long-tail products and cold-start users and items. Integrate data, manage models, serve recommendations, and monitor performance.
-
8
Rumo
Rumo
Personalized recommendations for entertainment platforms. Rumo is a SaaS recommendation system engine for entertainment content platforms. Our tool helps you deliver personalized recommendations to improve user acquisition, and retention and boost the discoverability of content. The recommendation system is designed for your creative content. Rumo is a versatile recommendation tool that works for any creative industry. Our number one priority is to help your users find the content they love. Get easy insight into what recommendations can be displayed for a given piece of content. The similarity score shows how items relate to each other. Profiles generated by Rumo compile interactions from each user on your platform, collected anonymously, to give insight into the tastes and preferences of each. Each user is unique and requires unique recommendations. Make your users stay longer on your platform and become the video clerk that helps customers discover new topics and content.Starting Price: €100 per month -
9
roboMUA
roboMUA
roboMUA is an AI startup that is revolutionizing the way people shop for beauty products. Our platform uses advanced machine learning & artificial intelligence algorithms, augmented reality, and unique inclusive data sets for over 100 skin shades to provide personalized recommendations for beauty products including but not limited to makeup, skincare, and fashion (shape/bodywear) products based on a user's skin shade and undertones all from the comfort of their devices without having to go in-store. We also offer a variety of educational resources and tools to help our users make informed decisions about their beauty routines like curated makeup tutorial videos for specific makeup products from multiple brands. Our algorithms currently feature over 50 beauty brands. We offer custom algorithms via cloud APIs, Chrome Extension, Shopify App, Android, and iOS Mobile Apps. roboMUA is building the next-generation beauty retail with AI. roboMUA - your personal makeup artist in your pocket.Starting Price: $199/month -
10
Search.io
Search.io
Search.io is re-engineering search to give all developers the tools to create intelligent search applications in hours, not months. With machine-learning at its core, Search.io automatically optimizes search results based on customer and business data. In a few lines of configuration code, developers can implement advanced capabilities, like A/B testing, reinforcement learning, and Bayes classification, that would take months to implement otherwise. Search.io enables thousands of businesses worldwide to provide highly-intelligent search experiences on their websites, stores, and applications.Starting Price: $0.00 per month -
11
Recombee
Recombee
Increase your customer satisfaction and spending with AI powered recommendations. Applicable to your home page, product detail, emailing campaigns and much more. Building on our vast experience from various domains and site sizes, we write our own algorithms to fit clients needs. Explore performance metrics and configure recommendations to reflect your personalization needs. Use simple and user-friendly interface designed for all your team members. The recommendation engine is provided by RESTful API and SDKs for multiple programming languages.Starting Price: $100 per month -
12
Cohere Rerank
Cohere
Cohere Rerank is a powerful semantic search tool that refines enterprise search and retrieval by precisely ranking results. It processes a query and a list of documents, ordering them from most to least semantically relevant, and assigns a relevance score between 0 and 1 to each document. This ensures that only the most pertinent documents are passed into your RAG pipeline and agentic workflows, reducing token use, minimizing latency, and boosting accuracy. The latest model, Rerank v3.5, supports English and multilingual documents, as well as semi-structured data like JSON, with a context length of 4096 tokens. Long documents are automatically chunked, and the highest relevance score among chunks is used for ranking. Rerank can be integrated into existing keyword or semantic search systems with minimal code changes, enhancing the relevance of search results. It is accessible via Cohere's API and is compatible with various platforms, including Amazon Bedrock and SageMaker. -
13
Froomle
Froomle
Froomle is composed of experts in recommender systems for the digital publishing industry, allowing us to offer an extensive catalog of specialized modules that are tailored to meet your specific business needs. We also have experience in the eCommerce space, working with companies like Colruyt Group & Bellami (Shopify) to meet their personalization goals. To get people consuming, subscribing, and engaging with your content, Froomle provides AI powered recommendations that help your user access the right content regardless of the channel. Working with both media conglomerates (Axel Springer, GEDI, Hello!, Mediahuis) and independent publishers (The Boston Globe, IOL, Mediafin), Froomle has a solution for any size! -
14
Pinecone Rerank v0
Pinecone
Pinecone Rerank V0 is a cross-encoder model optimized for precision in reranking tasks, enhancing enterprise search and retrieval-augmented generation (RAG) systems. It processes queries and documents together to capture fine-grained relevance, assigning a relevance score from 0 to 1 for each query-document pair. The model's maximum context length is set to 512 tokens to preserve ranking quality. Evaluations on the BEIR benchmark demonstrated that Pinecone Rerank V0 achieved the highest average NDCG@10, outperforming other models on 6 out of 12 datasets. For instance, it showed up to a 60% boost on the Fever dataset compared to Google Semantic Ranker and over 40% on the Climate-Fever dataset relative to cohere-v3-multilingual or voyageai-rerank-2. The model is accessible through Pinecone Inference and is available to all users in public preview.Starting Price: $25 per month -
15
RankLLM
Castorini
RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking. It offers a suite of rerankers, pointwise models like MonoT5, pairwise models like DuoT5, and listwise models compatible with vLLM, SGLang, or TensorRT-LLM. Additionally, it supports RankGPT and RankGemini variants, which are proprietary listwise rerankers. It includes modules for retrieval, reranking, evaluation, and response analysis, facilitating end-to-end workflows. RankLLM integrates with Pyserini for retrieval and provides integrated evaluation for multi-stage pipelines. It also includes a module for detailed analysis of input prompts and LLM responses, addressing reliability concerns with LLM APIs and non-deterministic behavior in Mixture-of-Experts (MoE) models. The toolkit supports various backends, including SGLang and TensorRT-LLM, and is compatible with a wide range of LLMs.Starting Price: Free -
16
TasteDive
Qloo
Personalized suggestions—discovered through the things you already love. TasteDive helps you discover new music, movies, TV shows, books, authors, games, podcasts, and people with shared interests. As a visitor, you can get instant suggestions using our recommendation engine. You can also hang around a bit longer, create a taste profile, discover interesting people, and learn about cool bands, movies, books or games from their profiles. Feel free to make a few requests to experiment with the API. If you decide to use it, you have to request an access key. Using this key, you can perform 300 requests per hour. Please provide a description of your product, together with some usage estimates. This allows us to increase the quota of certain applications that need it and get a better understanding of how the service is being used. Sign in to save your discoveries, create inspiring lists, get personalized recommendations, and find like-minded peers. -
17
BGE
BGE
BGE (BAAI General Embedding) is a comprehensive retrieval toolkit designed for search and Retrieval-Augmented Generation (RAG) applications. It offers inference, evaluation, and fine-tuning capabilities for embedding models and rerankers, facilitating the development of advanced information retrieval systems. The toolkit includes components such as embedders and rerankers, which can be integrated into RAG pipelines to enhance search relevance and accuracy. BGE supports various retrieval methods, including dense retrieval, multi-vector retrieval, and sparse retrieval, providing flexibility to handle different data types and retrieval scenarios. The models are available through platforms like Hugging Face, and the toolkit provides tutorials and APIs to assist users in implementing and customizing their retrieval systems. By leveraging BGE, developers can build robust and efficient search solutions tailored to their specific needs.Starting Price: Free -
18
RankGPT
Weiwei Sun
RankGPT is a Python toolkit designed to explore the use of generative Large Language Models (LLMs) like ChatGPT and GPT-4 for relevance ranking in Information Retrieval (IR). It introduces methods such as instructional permutation generation and a sliding window strategy to enable LLMs to effectively rerank documents. It supports various LLMs, including GPT-3.5, GPT-4, Claude, Cohere, and Llama2 via LiteLLM. RankGPT provides modules for retrieval, reranking, evaluation, and response analysis, facilitating end-to-end workflows. It includes a module for detailed analysis of input prompts and LLM responses, addressing reliability concerns with LLM APIs and non-deterministic behavior in Mixture-of-Experts (MoE) models. The toolkit supports various backends, including SGLang and TensorRT-LLM, and is compatible with a wide range of LLMs. RankGPT's Model Zoo includes models like LiT5 and MonoT5, hosted on Hugging Face.Starting Price: Free -
19
Fredhopper
Rezolve Ai
Fredhopper, a Crownpeak solution, is an AI-powered product discovery platform designed for enterprise retailers and global brands. It combines advanced AI with human curation to deliver smarter search, personalized recommendations, and intelligent merchandising. Trusted by over 250 international retailers, Fredhopper helps brands increase conversions, boost average order value, and reduce manual merchandising tasks. The platform enables businesses to create localized, globally scalable shopping experiences tailored to regional trends and shopper behavior. With seamless Shopify integration and full control over brand storytelling, Fredhopper empowers retailers to turn product discovery into measurable e-commerce growth. -
20
Jina Reranker
Jina
Jina Reranker v2 is a state-of-the-art reranker designed for Agentic Retrieval-Augmented Generation (RAG) systems. It enhances search relevance and RAG accuracy by reordering search results based on deeper semantic understanding. It supports over 100 languages, enabling multilingual retrieval regardless of the query language. It is optimized for function-calling and code search, making it ideal for applications requiring precise function signatures and code snippet retrieval. Jina Reranker v2 also excels in ranking structured data, such as tables, by understanding the downstream intent to query structured databases like MySQL or MongoDB. With a 6x speedup over its predecessor, it offers ultra-fast inference, processing documents in milliseconds. The model is available via Jina's Reranker API and can be integrated into existing applications using platforms like Langchain and LlamaIndex. -
21
Klevu
Klevu
Klevu is an intelligent site search solution designed to help e-commerce businesses increase onsite sales and improve the customer online shopping experience. Klevu powers the search and navigation experience of thousands of mid-level and enterprise online retailers by leveraging advanced semantic search, natural language processing, merchandising and multi-lingual capabilities, ensuring visitors to your site find exactly what they are looking for regardless of the device or query complexity. Klevu AI is the most human-centric based AI, designed specifically for ecommerce, and one of the most comprehensive, included in Gartner’s Market Guide 2021 for Digital commerce search. Deliver relevant search results to your customers with Klevu’s powerful and customizable search engine built exclusively for ecommerce.Starting Price: $449 per month -
22
Jinni
Jinni
Jinni's taste-based content-to-audience platform provides revolutionary personalization solutions for video content discovery and targeted digital advertising for entertainment brands. Through its unique Entertainment Genome™, consisting of thousands of distinct content attributes or "genes", Jinni not only understands the most subtle differences in TV and movie entertainment content but also understands each individual's unique entertainment tastes, thereby providing the perfect match between individual and content titles! Our mission is to be the best-in-class content-to-audience platform for entertainment brands, using one platform to match & promote entertainment content to the right audiences, dramatically increasing profitability for platform operators and entertainment advertisers. Jinni's semantic algorithms that match content to users' personal tastes have been setting the direction for the next generation of content discovery & recommendations for the industry. -
23
Vectara
Vectara
Vectara is LLM-powered search-as-a-service. The platform provides a complete ML search pipeline from extraction and indexing to retrieval, re-ranking and calibration. Every element of the platform is API-addressable. Developers can embed the most advanced NLP models for app and site search in minutes. Vectara automatically extracts text from PDF and Office to JSON, HTML, XML, CommonMark, and many more. Encode at scale with cutting edge zero-shot models using deep neural networks optimized for language understanding. Segment data into any number of indexes storing vector encodings optimized for low latency and high recall. Recall candidate results from millions of documents using cutting-edge, zero-shot neural network models. Increase the precision of retrieved results with cross-attentional neural networks to merge and reorder results. Zero in on the true likelihoods that the retrieved response represents a probable answer to the query.Starting Price: Free -
24
MonoQwen-Vision
LightOn
MonoQwen2-VL-v0.1 is the first visual document reranker designed to enhance the quality of retrieved visual documents in Retrieval-Augmented Generation (RAG) pipelines. Traditional RAG approaches rely on converting documents into text using Optical Character Recognition (OCR), which can be time-consuming and may result in loss of information, especially for non-textual elements like graphs and tables. MonoQwen2-VL-v0.1 addresses these limitations by leveraging Visual Language Models (VLMs) that process images directly, eliminating the need for OCR and preserving the integrity of visual content. This reranker operates in a two-stage pipeline, initially, it uses separate encoding to generate a pool of candidate documents, followed by a cross-encoding model that reranks these candidates based on their relevance to the query. By training a Low-Rank Adaptation (LoRA) on top of the Qwen2-VL-2B-Instruct model, MonoQwen2-VL-v0.1 achieves high performance without significant memory overhead. -
25
NVIDIA NeMo Retriever
NVIDIA
NVIDIA NeMo Retriever is a collection of microservices for building multimodal extraction, reranking, and embedding pipelines with high accuracy and maximum data privacy. It delivers quick, context-aware responses for AI applications like advanced retrieval-augmented generation (RAG) and agentic AI workflows. As part of the NVIDIA NeMo platform and built with NVIDIA NIM, NeMo Retriever allows developers to flexibly leverage these microservices to connect AI applications to large enterprise datasets wherever they reside and fine-tune them to align with specific use cases. NeMo Retriever provides components for building data extraction and information retrieval pipelines. The pipeline extracts structured and unstructured data (e.g., text, charts, tables), converts it to text, and filters out duplicates. A NeMo Retriever embedding NIM converts the chunks into embeddings and stores them in a vector database, accelerated by NVIDIA cuVS, for enhanced performance and speed of indexing. -
26
Ducky
Ducky
Ducky is an AI search platform that lets teams add powerful search to their products in minutes. It handles the full AI search pipeline, eliminating the need to build and maintain complex infrastructure. The platform supports multimodal search across text, images, and PDFs with high accuracy. Automated chunking, ranking, and reranking ensure the most relevant results surface first. Advanced metadata filtering enables precise and flexible search experiences. Ducky improves automatically over time without manual training or tuning. It helps teams ship AI-powered features faster while reducing development and operational overhead. -
27
Asimov
Asimov
Asimov is a foundational AI-search and vector-search platform built for developers to upload content sources (documents, logs, files, etc.), auto-chunk and embed them, and expose them via a single API to power semantic search, filtering, and relevance for AI agents or applications. It removes the burden of managing separate vector-databases, embedding pipelines, or re-ranking systems by handling ingestion, metadata parameterization, usage tracking, and retrieval logic within a unified architecture. With support for adding content via a REST API and performing semantic search queries with custom filtering parameters, Asimov enables teams to build “search-across-everything” functionality with minimal infrastructure. It is designed to handle metadata, automatic chunking, embedding, and storage (e.g., into MongoDB) and provides developer-friendly tools, including a dashboard, usage analytics, and seamless integration.Starting Price: $20 per month -
28
Abacus.AI
Abacus.AI
Abacus.AI is the world's first end-to-end autonomous AI platform that enables real-time deep learning at scale for common enterprise use-cases. Apply our innovative neural architecture search techniques to train custom deep learning models and deploy them on our end to end DLOps platform. Our AI engine will increase your user engagement by at least 30% with personalized recommendations. We generate recommendations that are truly personalized to individual preferences which means more user interaction and conversion. Don't waste time in dealing with data hassles. We will automatically create your data pipelines and retrain your models. We use generative modeling to produce recommendations that means even with very little data about a particular user/item you won't have a cold start. -
29
TILDE
ielab
TILDE (Term Independent Likelihood moDEl) is a passage re-ranking and expansion framework built on BERT, designed to enhance retrieval performance by combining sparse term matching with deep contextual representations. The original TILDE model pre-computes term weights across the entire BERT vocabulary, which can lead to large index sizes. To address this, TILDEv2 introduces a more efficient approach by computing term weights only for terms present in expanded passages, resulting in indexes that are 99% smaller than those of the original TILDE. This efficiency is achieved by leveraging TILDE as a passage expansion model, where passages are expanded using top-k terms (e.g., top 200) to enrich their content. It provides scripts for indexing collections, re-ranking BM25 results, and training models using datasets like MS MARCO. -
30
FinetuneDB
FinetuneDB
Capture production data, evaluate outputs collaboratively, and fine-tune your LLM's performance. Know exactly what goes on in production with an in-depth log overview. Collaborate with product managers, domain experts and engineers to build reliable model outputs. Track AI metrics such as speed, quality scores, and token usage. Copilot automates evaluations and model improvements for your use case. Create, manage, and optimize prompts to achieve precise and relevant interactions between users and AI models. Compare foundation models, and fine-tuned versions to improve prompt performance and save tokens. Collaborate with your team to build a proprietary fine-tuning dataset for your AI models. Build custom fine-tuning datasets to optimize model performance for specific use cases. -
31
Blackbird.AI
Blackbird.AI
Powered by our AI-driven narrative intelligence platform, organizations can proactively understand digital threats in real time for strategic decision-making when it matters most. The risk landscape has dramatically shifted for every industry. Our suite of solutions provides actionable risk intelligence for our customers and partners. Online audiences are being influenced in ways that have never been seen before by a new generation of actors and techniques. Listening tools are not enough. Quickly encapsulate narratives with daily risk intelligence summaries, providing real-time insights and empowering strategic decisions. Fine-tune your AI-generated narrative intelligence reports with the power of human context and enhance the relevance, accuracy, and strategic value of your insights. Enhance decision-making with data-driven recommendations tailored for a wide variety of problem sets, use cases, and personas. Accelerated reporting for intelligence professionals, saving time and effort. -
32
HireLogic
HireLogic
Identify the best candidates for your company, through better interview data and AI-assisted insights. An interactive “what-if” analysis of the recommendations of all interviewers to arrive at an intelligent hiring decision. Provides 360-degree view of all ratings resulting from structured interviews. Enables managers to view candidates by filtering ratings and reviewers. System illustrates and re-ranks candidates based on point and click choices. Instantly analyze any interview transcript to get deep insights into topics and hiring intent. Highlight hiring intents for deeper insight into the candidate, such as problem solving, experience, and aspirations.Starting Price: $69 per month -
33
Ragie
Ragie
Ragie streamlines data ingestion, chunking, and multimodal indexing of structured and unstructured data. Connect directly to your own data sources, ensuring your data pipeline is always up-to-date. Built-in advanced features like LLM re-ranking, summary index, entity extraction, flexible filtering, and hybrid semantic and keyword search help you deliver state-of-the-art generative AI. Connect directly to popular data sources like Google Drive, Notion, Confluence, and more. Automatic syncing keeps your data up-to-date, ensuring your application delivers accurate and reliable information. With Ragie connectors, getting your data into your AI application has never been simpler. With just a few clicks, you can access your data where it already lives. Automatic syncing keeps your data up-to-date ensuring your application delivers accurate and reliable information. The first step in a RAG pipeline is to ingest the relevant data. Use Ragie’s simple APIs to upload files directly.Starting Price: $500 per month -
34
Contenov
Contenov
Contenov is an AI-powered content strategy platform that turns a single keyword or topic into a full, data-driven SEO blog brief in minutes. Once you enter the topic, it scrapes the top 10 Google results, analyzes the top 5 most relevant pages, and extracts structural and semantic information, including headings, article structure, keyword ideas, search intent signals, and key insights from competitor content. Based on this, Contenov generates a complete content brief; a recommended outline, SEO-optimized subheadings, key concepts to cover, relevant keywords, and insights on what tends to rank well. It also supplies SEO intelligence, such as competitive analysis, intent and keyword data, and performance indicators, so you know what content elements are likely to succeed. The brief gives writers and content strategists clear guidance grounded in real ranking data, helping them skip time-consuming manual research and rely on evidence-driven strategy.Starting Price: $97 per month -
35
Syrup
Syrup
AI-powered planning and allocation recommendations for fashion/apparel. Waste not, want not, Syrup’s AI-powered recommendation engine helps brands sell more at full price while minimizing excess inventory. The power of your sales history is amplified by real-time transactions and events. Any data source that adds a signal to the forecast can be ingested into Syrup. Leave big data crunching to the computers. Our advanced machine learning models accurately anticipate seasonality plus trends, and they’re constantly getting smarter. As every bespoke tailor knows, there’s no one-size-fits-all. Syrup algorithms are tuned to each brand’s needs and flexible enough to update on the go. Accelerate time to confident decisions with Syrup’s real-time recommendations for allocation, replenishment, rebalancing, and reorders. Syrup can boost missed revenue by improving full-price sell-through. Make smarter, faster inventory planning decisions with automated recommendations. -
36
LLaMA-Factory
hoshi-hiyouga
LLaMA-Factory is an open source platform designed to streamline and enhance the fine-tuning process of over 100 Large Language Models (LLMs) and Vision-Language Models (VLMs). It supports various fine-tuning techniques, including Low-Rank Adaptation (LoRA), Quantized LoRA (QLoRA), and Prefix-Tuning, allowing users to customize models efficiently. It has demonstrated significant performance improvements; for instance, its LoRA tuning offers up to 3.7 times faster training speeds with better Rouge scores on advertising text generation tasks compared to traditional methods. LLaMA-Factory's architecture is designed for flexibility, supporting a wide range of model architectures and configurations. Users can easily integrate their datasets and utilize the platform's tools to achieve optimized fine-tuning results. Detailed documentation and diverse examples are provided to assist users in navigating the fine-tuning process effectively.Starting Price: Free -
37
Haystack
deepset
Apply the latest NLP technology to your own data with the use of Haystack's pipeline architecture. Implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications. Evaluate components and fine-tune models. Ask questions in natural language and find granular answers in your documents using the latest QA models with the help of Haystack pipelines. Perform semantic search and retrieve ranked documents according to meaning, not just keywords! Make use of and compare the latest pre-trained transformer-based languages models like OpenAI’s GPT-3, BERT, RoBERTa, DPR, and more. Build semantic search and question-answering applications that can scale to millions of documents. Building blocks for the entire product development cycle such as file converters, indexing functions, models, labeling tools, domain adaptation modules, and REST API. -
38
Metal
Metal
Metal is your production-ready, fully-managed, ML retrieval platform. Use Metal to find meaning in your unstructured data with embeddings. Metal is a managed service that allows you to build AI products without the hassle of managing infrastructure. Integrations with OpenAI, CLIP, and more. Easily process & chunk your documents. Take advantage of our system in production. Easily plug into the MetalRetriever. Simple /search endpoint for running ANN queries. Get started with a free account. Metal API Keys to use our API & SDKs. With your API Key, you can use authenticate by populating the headers. Learn how to use our Typescript SDK to implement Metal into your application. Although we love TypeScript, you can of course utilize this library in JavaScript. Mechanism to fine-tune your spp programmatically. Indexed vector database of your embeddings. Resources that represent your specific ML use-case.Starting Price: $25 per month -
39
Oracle Generative AI Service
Oracle
Generative AI Service Cloud Infrastructure is a fully managed platform offering powerful large language models for tasks such as generation, summarization, analysis, chat, embedding, and reranking. You can access pretrained foundational models via an intuitive playground, API, or CLI, or fine-tune custom models on your own data using dedicated AI clusters isolated to your tenancy. The service includes content moderation, model controls, dedicated infrastructure, and flexible deployment endpoints. Use cases span industries and workflows; generating text for marketing or sales, building conversational agents, extracting structured data from documents, classification, semantic search, code generation, and much more. The architecture supports “text in, text out” workflows with rich formatting, and spans regions globally under Oracle’s governance- and data-sovereignty-ready cloud. -
40
Optimal UX
Optimal UX
OptimalUX is a seamless SEO patching and A/B testing platform designed for effortless integration. Instantly fix SEO issues, update content, and optimize user experiences in real time. With advanced rendering, it enables flicker-free testing, precise personalization, and real-time segmentation. Built for efficiency, OptimalUX allows direct modifications to templates, images, and links without complex coding. Experience smooth deployment, fast iterations, and enhanced performance without redirects or blank screens. Whether fine-tuning SEO, adjusting layouts, or experimenting with new features, OptimalUX streamlines the process for maximum impact. Improve rankings, boost engagement, and refine your UX—all with one powerful tool. Start for free and pay as you go -
41
Beveel
Beveel
Beveel, which means “recommend” in Afrikaans, is a customer personalization engine that provides recommendations you can use in websites, emails, and social channels. Beveel is a context aware, Machine Learning and Artificial Intelligence based personalization engine for commerce. Beveel personalizes your customers commerce experience and delivers the most relevant and personalized experience possible. While driving your average order value (AOV), increasing sales by 30% in comparison to competitor products. Our visual recommendation engine uses deep learning techniques and Convolutional Neural Network (CNN) to recommend products relevant visually similar products to your customers. Beveel’s tuning service allows merchandisers to indicate their preference of showcasing products which are optimized for Revenue/Margin, Engagement, Conversion. Our purchase intent engine (PIE) matches your customer’s presence behaviours on the site and personalizes the experience in real-time. -
42
Arctic Embed 2.0
Snowflake
Snowflake's Arctic Embed 2.0 introduces multilingual capabilities to its text embedding models, enhancing global-scale retrieval without compromising English performance or scalability. Building upon the robust foundation of previous releases, Arctic Embed 2.0 supports multiple languages, enabling developers to create stream-processing pipelines that incorporate neural networks and complex tasks like tracking, video encoding/decoding, and rendering, facilitating real-time analytics on various data types. The model leverages Matryoshka Representation Learning (MRL) for efficient embedding storage, allowing for significant compression with minimal quality degradation. This advancement ensures that enterprises can handle demanding workloads such as training large-scale models, fine-tuning, real-time inference, and high-performance computing tasks across diverse languages and regions.Starting Price: $2 per credit -
43
Amazon Titan
Amazon
Amazon Titan is a series of advanced foundation models (FMs) from AWS, designed to enhance generative AI applications with high performance and flexibility. Built on AWS's 25 years of AI and machine learning experience, Titan models support a range of use cases such as text generation, summarization, semantic search, and image generation. Titan models are optimized for responsible AI use, incorporating built-in safety features and fine-tuning capabilities. They can be customized with your own data through Retrieval Augmented Generation (RAG) to improve accuracy and relevance, making them ideal for both general-purpose and specialized AI tasks. -
44
Entry Point AI
Entry Point AI
Entry Point AI is the modern AI optimization platform for proprietary and open source language models. Manage prompts, fine-tunes, and evals all in one place. When you reach the limits of prompt engineering, it’s time to fine-tune a model, and we make it easy. Fine-tuning is showing a model how to behave, not telling. It works together with prompt engineering and retrieval-augmented generation (RAG) to leverage the full potential of AI models. Fine-tuning can help you to get better quality from your prompts. Think of it like an upgrade to few-shot learning that bakes the examples into the model itself. For simpler tasks, you can train a lighter model to perform at or above the level of a higher-quality model, greatly reducing latency and cost. Train your model not to respond in certain ways to users, for safety, to protect your brand, and to get the formatting right. Cover edge cases and steer model behavior by adding examples to your dataset.Starting Price: $49 per month -
45
NVIDIA PhysicsNeMo
NVIDIA
NVIDIA PhysicsNeMo is an open source Python deep-learning framework for building, training, fine-tuning, and inferring physics-AI models that combine physics knowledge with data to accelerate simulations, create high-fidelity surrogate models, and enable near-real-time predictions across domains such as computational fluid dynamics, structural mechanics, electromagnetics, weather and climate, and digital twin applications. It provides scalable, GPU-accelerated tools and Python APIs built on PyTorch and released under the Apache 2.0 license, offering curated model architectures including physics-informed neural networks, neural operators, graph neural networks, and generative AI–based approaches so developers can harness physics-driven causality alongside observed data for engineering-grade modeling. PhysicsNeMo includes end-to-end training pipelines from geometry ingestion to differential equations, reference application recipes to jump-start workflows.Starting Price: Free -
46
just words
just words
Maximize learning with real-time copy optimization, versioning, and no-code experimentation. Optimize every product copy with email subject and preheaders. Improve open rates with hyper-personalized subjects, save costs with mobile-friendly concise snippets, grab attention on the lock screen with sleek push alerts, and rank high in search results with the most up-to-date keywords. Generate, and edit copy variants and start testing with 1 click, with no code re-deployments. Integrate copies with AB personalized frameworks, adapt copies to users in real-time, get an objective score on generated copies, and fine-tune future iterations with experiment insights. Your brand identity protection is key for us. We warm up our algorithm with your brand and tone as a one-time setup. Further, you always have the option of reviewing every single piece of content that is shown to the user, before it is picked up for optimization. -
47
Azure AI Personalizer
Microsoft
Boost conversion and engagement, and add real-time relevance to product recommendations, with reinforcement learning–based capabilities available only through Azure. Select hero content, optimize layouts, and personalize offers with two API calls. Use AI Personalizer, part of Azure AI Services, as a standalone personalization solution or to complement existing ranking engines, with no machine learning expertise required. Give customers relevant experiences that improve over time based on their behavior. Improve click-through on home pages, create personalized channels, or optimize coupon offers and terms. Let AI discover what maximizes results to stay on top of changing trends. Unlike recommendation engines that offer a few options from a large catalog, AI Personalizer presents the single best outcome for a user every time they interact with your app. Embed AI Personalizer by adding two lines of code. Easily inspect the accuracy of predictions and optimize as needed.Starting Price: $1 per 1,000 transactions -
48
Codewars
Codewars
Achieve mastery through challenge. Improve your skills by training with others on real code challenges. Challenge yourself on kata, created by the community to strengthen different skills. Master your current language of choice, or expand your understanding of a new one. Solve the kata with your coding style right in the browser and use test cases (TDD) to check it as you progress. Retrain with new, creative, and optimized approaches. Kata are ranked to approximate difficulty. As you complete higher ranked kata, you progress through the ranks so we can match you with relevant challenges. Compare your solution with others after each kata for greater understanding. Discuss the kata, best practices, and innovative techniques with the community. Author kata that focus on your interests and train specific skillsets. Challenge the community with your insight and code understanding. -
49
Voyage AI
MongoDB
Voyage AI provides best-in-class embedding models and rerankers designed to supercharge search and retrieval for unstructured data. Its technology powers high-quality Retrieval-Augmented Generation (RAG) by improving how relevant context is retrieved before responses are generated. Voyage AI offers general-purpose, domain-specific, and company-specific models to support a wide range of use cases. The models are optimized for accuracy, low latency, and reduced costs through shorter vector dimensions. With long-context support of up to 32K tokens, Voyage AI enables deeper understanding of complex documents. The platform is modular and integrates easily with any vector database or large language model. Voyage AI is trusted by industry leaders to deliver reliable, factual AI outputs at scale. -
50
FutureHouse
FutureHouse
FutureHouse is a nonprofit AI research lab focused on automating scientific discovery in biology and other complex sciences. FutureHouse features superintelligent AI agents designed to assist scientists in accelerating research processes. It is optimized for retrieving and summarizing information from scientific literature, achieving state-of-the-art performance on benchmarks like RAG-QA Arena's science benchmark. It employs an agentic approach, allowing for iterative query expansion, LLM re-ranking, contextual summarization, and document citation traversal to enhance retrieval accuracy. FutureHouse also offers a framework for training language agents on challenging scientific tasks, enabling agents to perform tasks such as protein engineering, literature summarization, and molecular cloning. Their LAB-Bench benchmark evaluates language models on biology research tasks, including information extraction, database retrieval, etc.
