AI-NATIVE FINANCIAL HARNESS

The intelligence layer
for investment teams

Turn your fund's intelligence into an enduring edge.

Live fund statusUSD

Finny Fund

Live return0.00%
Open live dashboard

01 / CONTINUITY

Most AI starts every conversation from zero. Your research should not.

Your edge is not one answer. It is the chain of theses, code, backtests, reviews, and execution decisions that came before it.

Finny / context replay

Illustrative fund workflow

private context connected

Portfolio manager

“Why did we cut the XYZ position yesterday?”

Research / XYZ thesis

10:42 yesterday

strategy.py / v17

commit 8d3f

Backtest / run 8421

drawdown gate

Execution / order log

14:07 yesterday

Complete story

The thesis remained intact, but the latest backtest crossed the desk's drawdown gate after the volatility update. Version 17 reduced exposure, and the approved order executed at 14:07.

Research → code → evidence → decision, carried forward

02 / PRIVATE INTELLIGENCE

Your edge stays yours. Your intelligence compounds.

Finny connects the models you trust to the research, data, backtester, and execution systems you already own. The result is one private layer that gets more useful with every workflow.

BRING YOUR INTELLIGENCE

swap any no lock-in

  • OpenAIYOUR KEY
  • AnthropicYOUR KEY
  • DeepSeekYOUR KEY
  • Custom financial modelsSELF-HOSTED
  • Finny modelsCOMING SOON

Finny

context in, evidence out

  1. 01Private contextresearch, code, decisions
  2. 02Deep researchsource-grounded context
  3. 03Strategy generationinspectable Python output
  4. 04Validation gatesbias and safety checks
  5. 05Reviewable evidenceone story your desk can sign off

YOUR INFRASTRUCTURE

stays in your environment

  • Oracle DBREAD-ONLY
  • Azure Data LakeREAD-ONLY
  • BacktestingNORMALIZED
  • Data feedsYOUR WRAPPERS
  • BloombergTERMINAL DATA
  • IBKRBROKERAGE

03 / ONE SYSTEM

One fund memory. Two surfaces built around it.

Researchers work in the terminal. Reviewers work in the browser. Finny carries the same context between them so every decision adds to the next one.

Terminal

Build with the whole thesis in view.

01
$

Start from the shell without starting from scratch. Research context, generated code, validation, and backtests stay connected.

surface
CLI + TUI
context
persistent thesis
output
inspectable Python
handoff
evidence attached

Web app

Review without rebuilding the story.

02

Give the desk one browser workspace where the thesis, changes, backtest evidence, and approval trail arrive together.

surface
browser cockpit
context
shared fund memory
output
audit trail
handoff
decision preserved

04 / ENTERPRISE PREVIEW

Every fund will have a private intelligence layer. Build yours on your terms.

Enterprise preview is for firms running proprietary strategies. Tell us where your research lives and which decisions should never lose their context.