SOC 2 certified

Quoting intelligence
that compounds.

Nyotta AI reads your RFQ drawings, CAD, and spec packs and drafts a scoped BOM, should-cost, and proposal your engineers approve before it goes out. A fleet of specialized agents that turns weeks of quoting work into hours, and gets sharper with every program.

See use cases

Team credentials and supported by

Google
Meta
Harvard Business School
Yale
Moveworks
NVIDIA

The quoting layer that compounds with your team.

01

Drawings read at full physical depth

2D drawings, 3D CAD math, SolidWorks assemblies, and factory floor layouts parsed as engineering content. Nyotta reaches 0.91 F1 on an engineering-drawing benchmark where general-purpose AI scores 0.38.

0.91 vs 0.38

F1, drawing benchmark

02

Your knowledge becomes the asset

Every drawing, quote, supplier price, and engineering decision becomes one living, searchable knowledge base. Your hardest-won expertise stays in the business and gets sharper with every program.

Living context

Per customer, per program

03

Engineer in the loop on every call

Specialized agents draft. Your team approves. Nothing writes to your CRM or ERP without engineer sign-off, and every number traces back to the exact drawing callout or spec line it came from.

Approve to write

Full audit trace

Platform

How Nyotta works.

Ingest

Reads the full RFQ package

2D drawings, 3D CAD math, SolidWorks assemblies, mixed-format spec packs, and factory floor layouts ingested in one pass. Component interconnections traced across the layout so spec compatibility is checked at the system level.

Reason

Specialized agents cross-validate

A fleet of specialists, each tuned to its job: extraction, technical reasoning, estimation, and compliance. Cross-checked against your historical programs, supplier data, and live market signals at the line-item level.

Approve

Engineer approves, system updates

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.

Built for engineering depth generic AI cannot reach.

Generic LLMs

  • Shallow API-level access to your systems
  • Cannot reliably extract from 2D drawings, 3D CAD math, or mixed-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, floor layouts, and mixed-format documents
  • Variant-resolved BOMs across thousands of configurations per program
  • Continuous context: live commodity prices, supply chain shifts, historical program intelligence
  • A fleet of specialized agents with independent eval harnesses that compound with every engineer correction

Built by people who lived the problem firsthand.

Maddie Zheng

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.

Google PixelMeta Superintelligence LabsHarvard Business School

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.

Google AssistantMoveworksYale
Yiyuan

See it on your own RFQs, end to end.

We work with your existing formats. No integration required to start.