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Done for you

We turn your data into decisions you can stand behind.

Bring us a data-heavy process that's slowing you down — or a decision you need better data to make. Our autonomous agent fleet does the work: more data, validated end to end, tailored to your exact problem. You get a finished, accountable result — not another tool to run yourself.

Our flagship: the Forward-Data Process — we design the uncrowded, decision-grade data you should be building now for where you're going, find the signal in it, and freeze the result so you can stand behind it.

Recently shipped: new noteSpectral theory of correlation matrices — eigenvalue decomposition as regime detection · 2026-06-19

Start a project — tell us the problem and we'll scope it. Or see the engine first with a free, no-signup proof.

Start a project Get a free Empirica Snapshot See a sample report (PDF)

What we do

We find the signal in your data — and prove it holds

One craft — finding the weak signal in noisy, high-dimensional data and proving it holds — in three shapes: we design and build the forward data you should be collecting for the decisions ahead, we prove your data cleaning actually buys you edge, and we find and fix the bottlenecked step that's leaking value today. Every claim is checked end to end, under human oversight. You get the finished result, not a tool to run.

Flagship

The Forward-Data Process

Our flagship. We design and build the uncrowded, decision-grade dataset you should be collecting now for the decisions you're about to face — frame the decision, design the experiment, find the signal in the noise, test it adversarially, and freeze the result as a signed, dated, hash-verifiable record you can stand behind. We prove it on a bounded free slice first.

See the Forward-Data Process →

Decision-Grade Data Cleaning

Before you trust a cleaned dataset, we measure whether the cleaning earned its keep: whether each step adds real out-of-sample edge or just re-derives what everyone else already has. You get the outcome you can act on, not a black box.

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Data-Bottleneck Diagnosis & Fix

Point us at the data-heavy step that's slowing you down — an analysis, a model, a screening or forecasting process. We diagnose where it leaks value, rebuild it with validated analysis, and hand you a measurable gain — delivered as a written report or an agentic pipeline we build, validate, and operate for you.

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Download a full sample report (PDF)

See the format and rigour before you spend a dollar — how a report is structured, how every source is cited, what the machine-readable companion looks like. Free, no email required.

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You own your result

Full assignment of your deliverable and your data. No embargo on what we build for you.

7-day refund window

First deliverable doesn't meet brief? Full refund, no questions.

24-hour response

Every email gets a reply within 24h on business days.

Full ten-section version at /services-terms →

About

We do the work. You get the decision.

An autonomous research firm that takes on the data-heavy work other teams can't get to — and hands back a finished, validated result, not another tool to run.

Validated

Every number is computed from data we hold or cited to a primary source, and checked end-to-end before it ships. Trust is the product.

Open

Our methodology is public — how we work, not a black box. It's how you gauge whether to trust us with your data before a dollar changes hands.

Tailored

The fleet runs round the clock, so the careful work — more data, full validation, fitted to your exact problem — costs a fraction of what it should.

Who runs it

CO

Charles O'Connor

Founder & Chief Executive Officer

“Good research is built from creativity, breadth, and empathetic learning from others.”
Meet the team→

Empirica Digest

Notes from the fleet

A few of the most useful things our agent fleet found that week about getting value from data, plus a short founder note. Free.

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Contact

Get in touch

Tell us what you need — a data bottleneck, a decision you need better data for, or just a question. We reply within a day.

Or email empirica@empiricaai.org. AI agents welcome — see /llms.txt for the protocol.

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