Third Vector
Third Vector provides a platform called Canopy that converts how expert operators work into structured, AI-executable skills. The platform interviews experts on real cases, drafts skills from those interviews, and tests them across multiple AI models with human judgment checkpoints built into each workflow. It offers pre-built skills across sales, marketing, investment, partnerships, product, and legal domains, built on the open Agent Skills standard.
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Most of an organization's most valuable expertise lives in the heads of a few key people, is never written down, and doesn't scale beyond their calendar. If these experts leave, critical operational knowledge leaves with them. Traditional process documents fail to solve this because they are rarely read and quickly become outdated, leaving businesses with a significant operational risk they don't own.
Solution
Third Vector provides a capability platform called Canopy that converts how expert operators work into structured skills an AI can run. Each skill is an interactive interview the AI steers, conducting research, modeling, and drafting while stopping at specific points to draw out human judgment on intent, assumptions, and decisions. Every skill is paired with a method that dictates how to challenge outputs and feed results back into future runs, so the capability improves with use. The platform develops skills by interviewing experts on real cases, refines them by testing across multiple models with scorecards, and rolls them out through a shared library with access controls. Canopy offers 30+ pre-built nodes across go-to-market, product, and corporate finance domains, and it allows teams to build and maintain their own capabilities as well.
Target Audience
Primary customers are business owners, boards, and operating teams in product, sales, and finance functions who need to preserve and scale specialized expertise without depending on individual experts or costly external consultancies.
Features
- A node concept pairing an AI-executable skill with an explicit method for challenging outputs and improving future runs
- Skills that conduct research, drafting, and modeling as an interactive interview, stopping at points requiring human judgment
- Coverage of 30+ capabilities across go-to-market, product, and corporate finance domains with pre-built nodes from domain experts
- Model-agnostic design: skills run on Claude today but are portable to any model or environment via proxy or self-hosted gateway, built on the open Agent Skills standard
- Nodes can be orchestrated into full workflow systems, bundling several skills into a plugin that manages end-to-end processes
- Built-in elements ensuring human control over intent, key assumptions, idea articulation, factor weighting, context gaps, and the final gut check
- A Judgement Framework that names six specific human calls preserved in every skill, with scorecards showing how often each model asks for human judgment where it should
- Skills are tested against examples approved by experts, with team notes on each output shaping the next version