Learn from the hard cases.
Applied research and scoped engagements examine how AI behaves, where evaluation methods fall short, and what institutions need to decide.
Selected researchFor investors
Syntony brings research, evaluation and engineering together around the evidence and controls institutions need as AI becomes more capable.
Our investment approach
Syntony considers outside investment selectively, based on strategic fit and respect for our independence. We are not currently raising capital, but welcome introductions from investors interested in our work.
A useful conversation begins with the work, the direction of the business, and what an investor could contribute to its development.
The company we are building
Our direction is to turn difficult evaluation and assurance problems into reusable methods, software, and hardware-supported controls. Each product has to earn its place through a useful task and evidence that it can perform it.
Applied research and scoped engagements examine how AI behaves, where evaluation methods fall short, and what institutions need to decide.
Selected researchSoftware development explores how to map interconnected risks, preserve evaluation evidence, and support review and follow-through.
Software and its current statusOur hardware and software engineering programme explores independent control mechanisms and secure evaluation environments for AI-enabled systems.
Secure systems developmentA durable business
An evaluation is tied to a system, a context and a version. A model change, a new tool, or a different operating environment can create another decision and another need for evidence.
We are developing repeatable evaluation and assurance workflows, supported by software and controls. The aim is to make each new review build on what is already known.
Explore our product programmes and current development milestones.
Examine the foundations
A strategic introduction
Share your perspective, relevant experience, and the contribution you would bring to Syntony’s development.