Red teaming
We break your AI systems on purpose, then write up exactly what went wrong and how to fix it.
AI risk advisory + tools
We test AI systems.
We test AI systems.
Then we fix the governance.
Most red-team reports end up in a drawer. We do the evaluation, then we stick around to make sure someone actually owns the findings, writes the controls, and briefs leadership.
OpenAI & Anthropic
Red-team & safety evaluation
Cambridge · Geneva · Paris
Summer 2026 speaking
DoD · CSA · Truman
National security & AI safety
syn·to·ny /ˈsintənē/ noun
The condition of being tuned to the same frequency. Oliver Lodge coined it in 1897 for early radio: a signal is useless if the transmitter and receiver aren't in phase. Same problem in AI governance. The safety team finds something, legal has a different timeline, ops has a different process, and the exec team hasn't been briefed yet. We get those rhythms lined up before the system goes live.
Featured research
Report · Europe · May 2026
Governance lag is the hidden AI risk.
Our Europe report shows where institutions can write frameworks, map risks, and still fail to measure deployed systems or manage them after evidence arrives.
Governance Lag and Emerging Technology Adaptation in Europe
Cross-sector analysis of AI-enabled systems in defence, energy, finance, and biosurveillance.
4sectors
22pages
AI RMFlens
Services
What we do
Governance
Who can approve a release? Who gets called when something breaks? We set up those answers before you need them.
Forecasting
AI policy is moving fast. We track what's changing across regions and tell you what it means for your roadmap.
Writing
Reports that people actually read. Memos your board can act on. Briefings that don't need a glossary.
Products
Software we're building
Public preview
CLD Suite
Interactive causal loop diagrams for AI risk. See how one policy change ripples through safety, ops, and compliance. Try the public version; licensed clients get it customized to their stack.
Try it →
Coming soon
GovTune AI
You give it a red-team trace. It pulls out what actually happened, figures out the governance implications, and drafts a finding you can hand to a review board.
Get on the list →
Available
Enterprise AI Risk Index
We analyzed 1,406 AI incidents and turned them into sector risk models, governance benchmarks, and the kind of visuals you can put in front of a board. Free preview PDF.
Download preview →
Team
Who we are
Nathan Heath started Syntony after six years doing decision science for the Department of Defense and red-teaming frontier models for OpenAI and Anthropic. He kept seeing the same thing: good evaluation work that never made it into a governance decision.
So he built a firm to fix that. AI safety evaluation, governance, national security risk. Expert Advisor for catastrophic AI risk at the Cloud Security Alliance. Truman Fellow. Fletcher School.
OpenAI & Anthropic Red Teamer
Truman Fellow
Fletcher School
BlueDot Impact Fellow
CSA Expert Advisor
Contact
Let's talk.
Book a call or send a note. NDA discussions are standard.
Phone
828-418-7587
Location
Research Triangle, NC
LinkedIn
Syntony Research Lab
Substack
A Mind of Their Own