Future AGI

Respan is a self-driving observability and evaluation platform built specifically for AI agents. It enables teams to trace full execution flows, including messages, tool calls, routing decisions, memory usage, and outcomes. The platform connects observability, evaluations, and optimization into a continuous improvement loop. Metric-first evaluations allow teams to define performance standards such as accuracy, cost, reliability, and safety. Respan also includes capability and regression testing to protect stable behaviors while improving new ones. An AI-powered evaluation agent analyzes failures, identifies root causes, and recommends next steps automatically. With compliance certifications including ISO 27001, SOC 2, GDPR, and HIPAA, Respan supports secure, large-scale AI deployments across industries.

RunLLM delivers enterprise-ready AI support engineers that seamlessly ingest your documentation, code repositories, support tickets, and telemetry to build a unified knowledge graph and fine-tuned language models. These agents use agentic planning and tool use to analyze questions, scan logs, execute and validate code, resolve tickets, update docs, and proactively follow up, while exception-based workflows route only complex cases for human review. Customizable agents let you define distinct tones and behaviors, and multi-LLM orchestration ensures rigorously validated answers. Integrations across Slack, Zendesk, Docs, and more make deployment instantaneous, defining ROI in minutes by deflecting up to 99 % of inquiries, slashing mean time to resolution, and scaling support without adding headcount. With real-time dashboards, continuous insights into user environments, and seamless ingest-train-deploy workflows, RunLLM transforms support into an automated, high-accuracy experience.