From frontier models to frontline deployment

Reliable AI in
regulated industries.

We help train and evaluate AI to master real-world tasks in finance, healthcare, and legal.

Experts
Datasets
RL Environments
Real Outcomes

Proudly working with domain experts from

Goldman Sachs Deutsche Bank Lazard Cooley Logo NHS Royal Marsden Cambridge Goldman Sachs Deutsche Bank Lazard Cooley Logo NHS Royal Marsden Cambridge Goldman Sachs Deutsche Bank Lazard Cooley Logo NHS Royal Marsden Cambridge Goldman Sachs Deutsche Bank Lazard Cooley Logo NHS Royal Marsden Cambridge
[01] Domain expertise
/ item 1 ⋮ 3

Close Collaboration.
Fast iteration.

Domain Experts

There's no substitute for expertise. Our internal team, comprising healthcare, finance, legal and AI specialists, works directly with AI researchers to scope and deliver every project. Physicians, attorneys, and investment analysts with years of high-stakes experience, supported by a platform built for structured, high-quality data collection at scale. Fast iteration. Real judgment. Data that holds up.

Work with us
[02] Curated datasets
/ item 2 ⋮ 3

High-quality datasets. Domain-specific data that reflects the real complexity of regulated work.

Curated Data

Medical imaging, financial models, legal contracts. We structure data for training and evaluation with the nuance these domains demand and fit to your requirements."

Explore datasets
Finance
Investment decks DCF models LBO models
Legal
M&A contracts NDA clauses Case law
Healthcare
Dental scans Radiology Clinical notes
[03] RL environments
/ item 3 ⋮ 3

RL environments. Real mastery requires real testing. Rich environments loaded with real data—verifiable rewards, custom tooling, data licensing support.

Verifiable Tasks

We combine expert knowledge, curated datasets, engineering, and real world tasks to build the best training grounds for agentic AI. Agents complete tasks in finance spreadsheets, medical records, legal documents—with measurable outcomes.

Learn more
DCF Analysis v2.4
Metric
Q1
Q2
Q3
Q4
FY
Revenue
$42.1M
$45.8M
$48.2M
$52.6M
$188.7M
Revenue Growth
12.4%
14.2%
11.8%
15.1%
13.4%
EBITDA
$10.2M
$11.5M
$11.5M
$13.8M
$47.0M
EBITDA Margin
24.3%
25.1%
23.8%
26.2%
24.9%
WACC
8.54%
8.54%
8.54%
8.54%
8.54%
Terminal Value
Agent Trace
search("TV formula")
read(dcf_guide.pdf)
get_cell("F5")
=F3/(F5-0.025)
submit()

Voices from our experts.

Physicians, analysts, and specialists shaping the future of AI.

SM

Sarah Mitchell

Equity Research Analyst

"After completing my profile, I was matched quickly with a project involving real stock market research. No endless interviews — just a clear offer and fast onboarding."

AM

Dr. Anna Müller

Clinical Oncologist

"I review oncology cases from home to help train AI models that support cancer diagnosis. The flexibility is invaluable — I can schedule this work around my hospital shifts and family life."

MP

Mark Petrov

Forensic Accountant

"I'm using my background in finance to train AI on real-world deal structures and regulatory details. It's satisfying to see that my nuanced knowledge is helping AI become more reliable."

DN

David Nguyen

Consultant Medical Oncologist

"I work remotely, annotating complex oncology cases for AI training. The setup is straightforward, the platform is user-friendly, and I don't waste time commuting."

SM

Sarah Mitchell

Equity Research Analyst

"Within days, I was working on meaningful financial analysis tasks, gaining practical experience while contributing to an AI system used by professionals."

MP

Dr. Maya Patel

Clinical Oncology Registrar

"From my home office, I review oncology cases and label them for AI training. This work lets me stay at the cutting edge of innovation without sacrificing my clinical career."

Close collaboration.
Fast iteration.

Contact us