Team credentials from
Why Nyotta
The AI validation layer your team
has been missing
Quality at Scale
Surface tradeoffs and flag incompatibilities at the line-item level, in real-time, before engineering decisions get locked into your program.
Institutional Memory Made Durable
Capture how your best engineers and program managers actually make decisions, so that knowledge compounds instead of walking out the door.
Expand Scope With Confidence
Take on programs and configurations you previously couldn't. Nyotta handles the validation complexity so your team focuses on the judgment calls only humans can make.
Platform
How Nyotta works
Deep Context Ingestion
Nyotta continuously reads 2D/3D drawings, multi-format spec packs, historical programs, supplier data, and live market signals, building a proprietary context layer unique to your programs.
Specialized Agent Reasoning
Four specialized agents (Extraction, Technical Reasoning, Simulation, and Compliance) cross-validate at the line-item level. Each agent has its own evaluation harness and improves continuously.
Human-Validated Output
Every recommendation surfaces its full reasoning trace. Your team reviews, modifies, or approves. Nothing writes back to your ERP or CRM without explicit human approval.
Differentiation
Built for industrial complexity,
not general-purpose use
Generic LLMs
- ✗Shallow API-level access to your systems
- ✗Can't parse 2D/3D drawings or multi-format spec packs
- ✗No awareness of your historical programs or supplier relationships
- ✗Single-model, single-pass with no specialist depth
Nyotta AI
- ✓Deep semantic parsing across drawings, CAD, and mixed-format documents
- ✓Variant-resolved BOMs across thousands of configurations per program
- ✓Continuous context: live commodity prices, supply chain shifts, and historical program intelligence
- ✓Four specialized agents with independent eval harnesses and improvement loops
Team
Built by people who lived
the problem firsthand
Maddie Zheng
Co-founder & CEO
Led the Pixel A-series program at Google from concept to launch. Built AI infrastructure for large-scale models at Meta Superintelligence Labs, including trust and safety systems running inline at production scale. Dropped out of Harvard Business School to build Nyotta.
Yiyuan
Co-founder & CTO
Led NLP and AI projects at Google Assistant (now part of Google DeepMind). Built enterprise search at Moveworks for Northrop Grumman, CVS, and other enterprises with the most fragmented legacy systems and highest security requirements. Graduate degree in CS and NLP from Yale.