Explore 1280+ AI Developers (page 9)
Sentrial
Sentrial builds an AI agent observability platform that monitors production agent behavior, detects drift and silent regressions, and helps teams diagnose and fix issues directly in their codebase. The platform goes beyond traditional monitoring by combining real-time trace streaming with AI-powered root cause analysis and GitHub-integrated code fixes. Backed by Y Combinator, Sentrial serves solo developers and enterprise teams shipping AI agents to production.
Omni
Omni builds a modern business intelligence platform that combines AI-assisted querying with a governed semantic modeling layer. The team focuses on making data exploration accessible to both technical and non-technical users while maintaining consistency and trust in data. Omni connects directly to cloud data warehouses and supports embedded analytics for product teams. The company is backed by experienced data and analytics practitioners committed to rethinking how organizations interact with their data.
Alex Jones
Alex Jones builds open-source developer tooling focused on AI infrastructure and LLM evaluation. The llmfit project provides a lightweight CLI for benchmarking large language models. The work reflects a background in cloud-native and developer productivity tooling.
General Action
General Action builds Emdash, an open-source agentic development environment for running multiple coding agents in parallel. Backed by Y Combinator, the team focuses on enabling async, agent-native software development workflows. Their flagship product supports 20+ coding agents and integrates with popular issue trackers and MCP servers.
Compresr
Compresr builds context compression infrastructure for LLM pipelines, helping developers cut token costs and improve model accuracy. The team, backed by Y Combinator (W26), ships both a managed API and an open-source Context Gateway for agent frameworks. Compresr's models achieve up to 200x compression without quality loss, making AI workflows faster and cheaper at scale.
Canaries, Inc.
Canaries, Inc. builds Canary, an AI QA engineer that automatically tests code on every pull request. The company is backed by Y Combinator and serves engineering teams at companies like Google, AWS, DeepMind, and Morgan Stanley. Canary eliminates manual QA and brittle test scripts by generating and running browser tests directly from code diffs, giving teams confidence on every deploy.
Salus
Salus builds runtime guardrail infrastructure for AI agents, intercepting and validating tool calls before they execute to prevent costly mistakes. Backed by Y Combinator, the team focuses on making AI agents safer and more reliable in production environments. Salus provides structured self-repair feedback, real-time observability, and adversarial evals to help teams deploy agents with confidence.
ShortKit
ShortKit builds video infrastructure for teams launching short-form video experiences at scale. The platform delivers a full SDK suite, AI-powered content transformation, and global CDN delivery with usage-based pricing. ShortKit ships the complete stack — infrastructure, tooling, and SDK — from day one, with no add-on fees for core capabilities.
Mocke
Mocke builds an AI-powered cold email agent designed to automate outbound sales development. The platform combines deep lead research with personalized messaging to help sales teams scale their outreach efficiently. Mocke's chat-based interface draws inspiration from AI coding tools like Cursor, making it accessible and intuitive for modern sales professionals.
Sparkles
Sparkles builds a safe online development environment that lets non-technical teammates participate in the software development process without risking production. The platform creates secure, isolated sandboxes for any GitHub repository and uses AI to translate natural language into code changes. Backed by Y Combinator and angels from OpenAI, Sparkles helps teams ship faster by removing the engineering bottleneck.