Syntony is an AI evaluation, governance, and assurance firm that red-teams models and agentic workflows to expose vulnerabilities, then translates those findings into actionable controls and decision processes. The company's core focus is preserving the test record—including traces, prompts, and replayable cases—so findings can be reproduced and remediated effectively. Syntony is currently developing tools like Resonance, a risk map linking attack paths to responsible teams fourauditors, and Governance Lag Monitor to track response times to frontier AI findings.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations often fail to act on technical AI security findings because they cannot reproduce the test, or the results do not fit into an existing review and release process. This disconnect leads to unresolved vulnerabilities, unclear ownership, and delayed risk decisions that undermine AI system safety and governance.
Solution
Syntony provides red-team and evaluation services that test models, agents, and AI workflows under realistic and adversarial conditions, then bridges the gap to action by preserving every trace, prompt, tool call, and privilege involved. Its governance work turns technical findings into clear responsibility, operating controls, and review processes that clients can actually use. The assurance arm keeps versioned tests current and replays attacks after remediation or whenever the model, data, or integration changes. This continuous loop ensures that each finding leads to a documented decision affinity for release or risk assessment, not just a dead-end report.
Target Audience
Primary customers are enterprises and government agencies deploying AI models or agentic workflows that need to demonstrate security, accountability, and traceable governance to internal stakeholders and regulators.
Features
- Red-teaming and evaluation of models, agents, benchmarks, and AI-enabled workflows under adversarial conditions
- Preservation of complete test records, including prompts, tool calls, affected privileges, and replayable test cases
- Governance support that assigns control ownership (e.g., system security for remediation, program owner for release conditions)
- Versioned test suites with re-testing protocols triggered by model, data, integration, or context changes
- Resonance risk map that links attack paths to responsible teams, responses, and follow-up tests
- Governance Lag Monitor (in development) that tracks response time from public frontier-AI findings to documented controls
- GovTune AI (in development) that drafts governance records from red-team traces while preserving decision workflows