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Telos

Telos provides a product decision infrastructure that manages vision-to-task workflows, giving teams a shared surface for alignment and decision-making as AI accelerates software delivery. The platform offers agentic access controls, full CRUD operations over visions, objectives, opportunities, and tasks, and integrates with tools like GitHub, Cursor, Slack, and Stripe. Its API is designed for LLM-driven use with a 2KB schema catalog that fits inside a system prompt.

Traction 3/10
Greater Noida, India · HQ
Founded 2026210+ followers
  • Enterprise Software
  • Developer Tools
  • Artificial Intelligence
  • AI Agents
  • Software Only
Updated 7 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

When AI accelerates software delivery, the bottleneck moves upstream to product decisions. Teams lack a shared infrastructure for managing vision-to-task workflows, creating friction between what agents build and what product leaders actually decide.

Solution

Telos provides a product decision infrastructure that manages vision-to-task workflows, giving teams a shared surface for alignment and decision-making. The platform tracks work from bug reports to approvals, integrates with existing tools like GitHub, and offers agentic access controls so AI agents can read plans, file work, and report shipped items while human approvals remain in place. Everything in Telos is available to existing workflows, letting agents operate headlessly at first and bringing people into the product when alignment requires a shared surface. The system supports full CRUD operations over visions, objectives, opportunities, and tasks, with self-describing payloads and self-correcting errors designed for LLM-driven use without human intervention.

Target Audience

Primary users are product teams and engineering organizations adopting AI-assisted software delivery who need structured workflows for product decisions.

Features

  • Agentic access controls with attributed actions and human-only approvals, ensuring agents see and change only what is permitted
  • REST API with full CRUD over visions, objectives, opportunities, and tasks, supporting batch operations of up to 20 requests
  • Webhooks with 141 event types, HMAC-SHA256 signed, retried on a 30-second to 6-hour backoff, dead-lettered on terminal failure
  • MCP gateway with 5 tools progressively disclosing 310 actions, using the same bearer auth as REST without preloading schemas
  • Two-kilobyte condensed API schema catalog designed to fit inside an LLM system prompt, with error envelopes carrying suggestion fields for self-correction
  • GitHub integration where an agent can move a reported bug from Todo to In review upon pull request opening, then to Completed after approval and merge
  • Blast radius visualization that surfaces dependent cascades and breached customer commitments before committing to new plans
  • Customer-first data model tracking health, lifecycle stage, ARR, and work in flight per account
This profile is AI-generated and may contain inaccuracies.