Industries

Healthcare first, and wherever people rely on AI to decide

Our methods were developed in clinical research. They apply to any field where skilled professionals stay accountable for decisions made with technology.

Primary focus

Healthcare

Clinical AI and digital health products must work for clinicians on real shifts, in real workflows, with patient safety at stake. We test performance, usability and workflow fit, and help you build the evidence hospitals and partners ask for.

Who we work with

Clinical AI developers
Digital health companies
Medical and connected-device makers
Health systems evaluating new tools

Typical questions

Does it improve clinical decisions?
Does it fit the clinical workflow?
Is it safe alongside other devices?
Is it ready to roll out?

Legal

AI evaluation for legal teams

Law firms and legal departments are adopting AI for research, drafting, contract review and e-discovery. Lawyers remain accountable for every output, so they need evidence that a tool is accurate on their kind of work and that their review process catches its mistakes.

Questions we answer

Does the tool find the right authorities and clauses for our matters?
Do our lawyers catch its errors, such as citations that do not exist or terms it missed?
Does it save time without lowering the quality of work?
What evidence can we show clients, courts and insurers?

Who we work with

Law firms
In-house legal departments
Legal technology vendors

What you receive

Matter-based benchmark of the tool
Attorney review study
Supervision and workflow analysis
Adoption guidance and documentation

Other sectors

The same questions, in other high-stakes work

Wherever people stay responsible for decisions made with AI, we can measure whether the technology helps them.

Aerospace and defense

Decision support and training tools for crews and operators under pressure, isolation and time constraints.

Financial services

AI tools for analysts, advisors and underwriters: decision quality, oversight and appropriate reliance.

Mobility and transportation

Driver and operator interaction with automation, alerts and handover of control.

Enterprise and workplace AI

Copilots and assistants in knowledge work: real productivity gains, error rates and adoption.

Training and simulation

Immersive and AI-driven training: whether skills improve and transfer to real work.

Public sector

AI used in public services, where fairness, accountability and usability all matter.

Working in a field not listed here?

If people make decisions with your technology, we can likely help you test it.

Get in touch