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Analytics Lab.
Senior analysis on call.

Ask a question in plain language. An AI-assisted analytics team led by our principals finds the right data, does the work, and checks it independently before you see it. You get finished files, not a chat transcript.

Start with one question How the Lab works

Why it is different

2×every material number
is computed independently

One analyst produces the answer. A second one, who has not seen it, recomputes it. A final verifier signs off. That is the difference between an AI summary and analysis you can put in front of a board.

How the Lab works

From question to
verified files.

Four steps. You can see early findings and steer at any point.

Ask

01

You ask in plain language

Describe the decision you face and point us at the data. We agree scope, sources and deliverables before any work starts, so you know exactly what you will get and when.

Start with one question

What you receive

Finished files, not findings in a chat window.

Forecasts and models

Demand, capacity, risk and time-series models you can rerun.

Executive briefs

Board-ready summaries with the evidence attached, not implied.

Workbooks and dashboards

Excel and Power BI deliverables built on checked numbers.

Spend and market analysis

Contract, procurement and competitive intelligence at scale.

Evidence reviews

What the published research actually supports, and what it does not.

Data quality audits

Where your numbers come from, where they break, and what to fix first.

Insights

Read a little more
on engineered AI.

See all articles

Ideas and guides on building AI that actually moves the numbers.

Your Data Pipeline Is Costing You $3 Million a Month. And You Probably Don't Know It.

Blog

Your Data Pipeline Is Costing You $3 Million a Month. And You Probably Don't Know It.

Fivetran’s 2026 benchmark: pipeline failures cost enterprises $3M/month in lost business value. 97% of leaders say failures slowed analytics or AI programs.

Read article
96% of Enterprises Are Using AI Agents. Only 12% Have Any Idea How to Govern Them.

Blog

96% of Enterprises Are Using AI Agents. Only 12% Have Any Idea How to Govern Them.

OutSystems surveyed nearly 1,900 IT leaders: agent sprawl is rising, centralized governance is rare, and the risk profile is worse than SaaS sprawl.

Read article
The Real Reason Your AI Pilot Succeeded and Your Enterprise Rollout Didn't

Blog

The Real Reason Your AI Pilot Succeeded and Your Enterprise Rollout Didn't

42% of companies abandoned most of their AI projects in 2025. The gap between a brilliant pilot and a failed rollout is almost never what organizations expect.

Read article

Have a question
the numbers need to answer?

Bring one decision you are facing. We will tell you what the Lab can deliver, how fast, and what it costs.

Start with one question

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