Different fields.
A shared drive to understand more.

01 / Industry

Universities & research groups

Research groups, research software teams and faculty.

Evidence to bring

Permitted datasets, existing analyses, research questions, and documented methods.

Start with one question, dataset and method.

Work with our team on a scoped research pilot.

Question & dataset

Agree the research question, permitted data and assumptions.

Method & App

Build a calculation and an interface your group can inspect and extend.

Working handover

Keep the code, definitions and working records for the next investigation.

What you could build

Example: Guided Inquiry compares two forecast methods against held-out public observations and retains revisioned evidence.

02 / Industry

Corporate R&D & engineering

R&D and engineering leaders, with finance partners reviewing investment.

Evidence to bring

Test fixtures, run outputs, engineering records, cost allocations and commercial assumptions.

Which approach works, and is it worth building?

Compare alternatives on a reproducible fixture. Keep failed targets with the run, prepare research evidence and model the project’s expected return.

What you could build

Experiment Bench delivers every packet while missing its delay target. Project ROI shows why a positive simple return can still fall short of the chosen discount rate. Research-credit eligibility requires separate review.

03 / Industry

Investment & diligence

Investment teams, corporate development and diligence advisers.

Evidence to bring

Financial statements, transaction exports, customer records and diligence documents.

What does the evidence support?

Reconcile reported and adjusted earnings. Trace adjustments to supporting records, inspect concentration and compare investment scenarios.

What you could build

The Earnings Quality Review example keeps a $400,000 gap between the seller’s case and the supported basis visible. Scenario changes do not resolve missing evidence.

04 / Industry

Business operations & planning

Strategy, operations and supply-chain teams.

Evidence to bring

Order history, inventory movements, supplier lead times and production records.

What should change before the next planning cycle?

Compare demand forecasts against simple baselines, inspect shortages and test inventory assumptions. Build a review App around the decisions your team makes each week.

What you could build

Forecast Lab provides a starting point for exploring time series and forecast errors. Use your own permitted data to investigate purchasing and process questions.

05 / Industry

Health-tech operations

Pilot operations, product and reliability teams.

Evidence to bring

Device logs, scheduled check-ins, collection timestamps and delivery records.

Where did the operational record break?

Separate missing collection from delayed transmission. Investigate device and cohort patterns, compare retry policies and track follow-up.

What you could build

The Remote Monitoring Pilot Review follows 1,344 synthetic check-ins across 48 participants. It reviews operational reliability, not patient measurements or clinical decisions.

06 / Industry

Specialist advisers

Diligence, technical and R&D tax advisers serving middle-market clients.

Evidence to bring

Client documents, technical records, cost schedules and review questions.

Can the next review build on this one?

Build an App around your review method. Organize evidence, identify missing records and keep calculations inspectable as client assumptions change.

What you could build

The R&D Evidence Review example connects technical activities, evidence and allocated costs. The adviser makes the qualification judgment; an allocation is not a claim of eligibility.