Cognetivy is an open-source state layer for AI coding assistants that adds workflows, run tracking, and persistent collections - all local.

Founders & Business

Investor & Funding Research

Build a targeted investor pipeline with deep, structured research.

Fundraising outreach fails when it's generic. Define a workflow that researches each target investor - portfolio companies, investment thesis, check sizes, recent activity - and builds a structured intel collection that informs every personalized pitch.

What you'll achieve

Personalized at scale

Deep research on each investor enables genuinely personalized outreach, not mail-merge.

Prioritized pipeline

Fit scores let you focus effort on the highest-probability conversations first.

Persistent CRM-like data

Your investor collection grows with each research run and persists across your raise.

How it works

A repeatable workflow you define once and run any time.

1

Define your target criteria

Store your ideal investor profile as a structured reference: stage, sector focus, geography, check size.

2

Research each investor

Your agent reads firm websites, portfolio pages, and recent interviews to extract investment thesis and preferences.

3

Score for fit

Each investor is scored against your criteria and stored with fit rationale and confidence.

4

Generate outreach brief

A structured one-pager per investor: why they're a fit, connection points, and a suggested personalisation angle.

Cognetivy features you'll use

Everything you need is already in Cognetivy.

Workflows

Versioned, reusable step-by-step processes for your agent

Collections

Schema-backed data stores that persist and accumulate across runs

Artifacts

Structured outputs saved from any run - downloadable and linkable

Runs

Full event log of every agent session, with timing and status

Ready to try?

Set up your first structured workflow in under a minute.