Research, reporting, and diligence automated for independent funds and financial teams. No account manager, no six-week discovery phase. You brief the person who builds it, and something works in two weeks.
Also run an eCommerce brand? The studio side handles that
Every engagement is framed the same way: name the problem in hours and money, ship the system that removes it, measure the difference.
Hundreds of inbound decks a quarter, read manually by the partners themselves.
An LLM pipeline that scores, tags, dedupes, and summarizes inbound against your thesis, then routes it to Notion or Affinity.
Partners read the decks worth reading, each with a one-page memo pre-written.
Ideal: 2-5 person fund with inbox-based deal flow
Every diligence sprint rebuilds the same market map from zero.
A multi-agent research system that pulls filings, funding data, and competitor sets, and produces a structured brief.
Multi-day market maps compress into hours.
Ideal: fund running 8+ diligence sprints a year
Quarterly LP updates are a two-week manual scramble across spreadsheets.
An automated pipeline: portfolio data in, a formatted and designed LP report out.
Two weeks becomes an afternoon, and the report looks designed.
Ideal: fund with 10+ portfolio companies
You find out about a portfolio company's problem from social media.
Continuous monitoring of filings, news, and sentiment across your portfolio and watchlist, with alerting. Risk engines (VaR, stress testing) where public exposure calls for it.
Nothing about your positions surprises you.
Ideal: any fund holding public or late-stage exposure
You need engineering output, but not a hire. You have said "we should build that" at least three times this year.
Retained build capacity. You brief, I ship. Scoped monthly, cancel anytime.
Engineering output without a salary, equity, or a hiring process.
Ideal: 2-15 person firm with a growing automation backlog
Every claim above maps to a system you can read the source of. These are live on GitHub, not slideware.
You should not have to sign a large build with someone you met online. The engagement is structured so the risk stays small until the value is proven.
Fixed price, fixed scope. We pick one workflow that eats your team's week and ship one working system for it. You keep everything either way.
If the pilot earns it, we scope the full system: integrations, monitoring, documentation, and handover. Priced before work starts, not billed by the hour.
Systems drift as your firm changes. A monthly retainer keeps them maintained, extended, and ahead of what you need next.
For financial firms this is usually the first question, so here are the defaults before you have to ask.
Happy to sign yours before the first call. Anything you share stays inside the engagement.
Systems can run entirely inside your cloud accounts. You hold the keys and the data never has to leave.
Client data is never used to train models. Where LLM APIs are involved, we use no-training endpoints and document exactly what flows where.
When an engagement ends, every copy of your data I hold is deleted and confirmed in writing.
Twenty minutes. You leave with a map of what's automatable and what it would reclaim, whether we work together or not.
Book a call