Buying a company
The seller says AI now does a large share of the work, and the price you offer depends on that share.
We test AI systems and data so you know what you can rely on
Model providers, AI vendors and data providers report their own handpicked numbers. We test the claims, audit the systems and verify the data, whether you bought them or built them, and work with you to improve them and find opportunities to increase revenue and growth.
When to bring us in
Choosing or renewing a vendor
A support chatbot, medical scribe or voice agent looked good in the demo or pilot, and now you have to sign the contract or roll it out further.
Customer support
Your support bot's dashboard shows a high resolution rate, and you want to know how many customers got a real answer.
Compliance
Your AI talks to customers, writes clinical notes or clears alerts, and an examiner or auditor will ask how you tested it.
Data providers and labelers
You pay outside firms for data or labels and want to check their quality against the contract before you renew.
Training and fine-tuning
You need evaluation sets that show whether a new checkpoint beats the old one on your tasks.
Agents
An agent runs multi-step tasks and calls tools, and you need to see what it does when a tool fails before it touches production.
Choosing a model
You are comparing open and closed models and want results on your own data, with the cost of each correct answer.
Multimodal and live systems
Your system works with audio, video or images, sometimes in real time, and latency matters as much as accuracy.
How we work
- We talk with your leadership and teams about goals, deadlines, priorities and pain points to understand what matters most.
- We analyze your tools, data and AI usage and adjust to your priorities.
- We run, adapt and build custom evaluations for your real workflows and data.
- Together we pick the most urgent problems and the biggest growth opportunities, and we keep supporting you afterward.
- We fix what the evidence supports, from changes in operations to upgrading systems with newer models, and we train your people. Or we hand the plan to your team or vendor.
We don't push solutions. A few customers have asked us to build tools for them, and we keep that work separate from our testing. When an acquirer, investor or auditor hires us to test another company's AI, we stop after the evaluation, and when we compare vendors for you, our own products are not among the options.
Your data
When you need it, we can run every analysis on your own compute, inside your systems, so no data leaves them. We follow GDPR and your rules for data retention and deletion.
About us
We believe AI will soon do a large share of the world's work, and that it should be tested as carefully as the bridges, medicines and aircraft we already trust.
Our founding team has a shared history of building and evaluating real-time AI systems used by millions of people. We've worked with Fortune 500 companies, published benchmarks, built training and evaluation environments for models like Llama and deployed fast private models on edge devices.
We've trained and deployed models across North America, Europe and Asia under each region's rules for handling, retaining, cleaning and using data, including GDPR.
We've seen models with strong benchmark scores and vendor claims still fail real users. Now we bring what we learned at Meta to companies that depend on AI systems and data.
Experience from
We can work with you directly or through your diligence or audit firm.
Contact
We're a small team, still in stealth, and we're taking on a few customers and design partners. Tell us what you're working on, and we'll reply within 24 hours.
Contact us