Frequently Asked Questions
Common questions about Syzygy Rosetta, Trivian Technologies, and our development plans.
Syzygy Rosetta is an AI governance middleware platform designed for financial institutions. It sits between applications, AI models, and business workflows, evaluating every AI-assisted interaction and generating tamper-evident audit receipts. Rosetta ensures that every AI-assisted financial decision is documented, auditable, and compliant with regulatory requirements.
Rosetta is currently in development and is not yet publicly available. We are in the research and validation phase, actively fundraising, and seeking pilot partners. Interested institutions can join our partner program for early access and the opportunity to shape the platform's development.
Not yet. We are designing Rosetta with API-first principles, and a REST API will be part of the initial release. However, there is no public API available at this time. API documentation, SDKs, and integration guides are planned for the Developer Platform phase of our roadmap.
Yes, we are actively seeking pilot partners. We are looking for financial institutions, compliance teams, and technology partners who are interested in shaping the future of AI governance in financial systems. Visit our Partner Program page to learn more and request a partnership discussion.
Rosetta is designed for financial institutions that use AI models to assist or make decisions. This includes banks, credit unions, fintech companies, insurance providers, and any organization operating in regulated financial environments. The platform serves compliance teams, risk officers, internal audit, and engineering teams who need to document and govern AI-assisted decisions.
Rosetta is designed to govern any AI-assisted financial decision. Key use cases include loan origination and credit decisions, fraud detection and review, AML monitoring and alert triage, insurance underwriting and pricing, and customer operations decisions. The platform is designed to be workflow-agnostic and can adapt to additional use cases.
Rosetta is designed with cryptographic evidence integrity as a core feature. Every audit receipt is created with tamper-evident protections, and receipts can be linked in chains where each receipt references the cryptographic hash of the previous one. This enables independent verification of evidence integrity without access to the originating system.
Rosetta is designed to support compliance with a wide range of financial regulations that require documentation, explainability, and auditability of decisions. While the specific regulatory mappings are still being developed, the platform's architecture is informed by fair lending requirements, model risk management guidelines, consumer protection regulations, and emerging AI governance frameworks.
Model monitoring tools track aggregate model performance and behavior over time. Rosetta operates at the individual decision level, evaluating each AI-assisted interaction before it is finalized and generating a per-decision evidence record. While monitoring tools answer 'is my model performing well?', Rosetta answers 'what did my model decide in this specific case, and why?'
No. Rosetta is designed as a middleware layer that sits between applications and models, not as a model modification framework. Existing models can continue to operate as they do today. Rosetta evaluates model inputs and outputs, applies policy rules, and generates evidence without requiring changes to the AI models themselves.