O2 AI
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AI decision layer for hardware supply chains.

BOMs decide cost, risk, lead time, margin, and win probability. O2 turns every RFQ, supplier reply, inventory signal, and past order into reusable decision intelligence. O2 turns BOMs, supplier replies, and inventory signals into sourcing, pricing, and risk decisions.

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Hardware teams use O2 for

BOM-to-order decisions, surfaced as one operating layer.

RFQ & BOM Intake
Part Intelligence
Supplier Intelligence
Pricing Engine
Quote-to-Order
Decision Memory
RFQ packageIntake
BOM workbookParts
Supplier quotesSupply
Inventory + ERPPrice
Quote packageBuild
Order outcomeLearn

RFQ & BOM Intake

Turns emails, BOMs, PDFs, spreadsheets, supplier quotes, inventory sheets, and ERP exports into structured opportunity records.

  • RFQ parsing
  • PDF + Excel
  • Structured record
Email / BOM / ERP
Opportunity record

BOM & Part Intelligence

Normalizes MPNs, manufacturers, quantities, alternates, lifecycle risk, EOL status, and approved-vendor logic.

  • MPN cleanup
  • Alternates
  • Lifecycle risk
Cleaned parts
Risk flags

Supplier & Inventory Intelligence

Ranks source options by price, availability, lead time, reliability, historical performance, inventory fit, and sourcing risk.

  • Supplier rank
  • Availability
  • Inventory fit
Ranked supply
Inventory fit

Pricing & Margin Engine

Recommends sourcing paths, substitute options, cost ranges, risk flags, bid / no-bid logic, confidence, and margin impact.

  • Cost ranges
  • Bid / no-bid
  • Margin impact
Bid / no-bid
Protected margin

Quote-to-Order Builder

Drafts customer quotes, supplier inquiries, follow-ups, PO / SO handoff, and internal approval workflows.

  • Quote draft
  • Supplier inquiry
  • PO / SO handoff
Quote + inquiry
Approval ready

Revenue & Decision Memory

Learns from every win / loss, supplier response, customer rejection, actual cost, realized margin, and human edit.

  • Win / loss
  • Supplier replies
  • Human edits
Every outcome
Compounding memory

Margin is decided before the quote exists.

O2 moves judgment upstream: supplier risk, approved substitutes, inventory exposure, cost ranges, and win probability are evaluated before the customer sees a number.

2-6h
time-to-quote

From messy BOM, RFQ, supplier quote, and inventory inputs to a reviewed quote path.

3-4×
more RFQs processed

Teams process more work because the judgment layer is prepared before review begins.

2-5%
margin uplift per quote

Cost ranges, substitutes, lifecycle risk, inventory exposure, and supplier behavior shape the quote.

∞
transaction memory

Every quote, supplier response, correction, cost change, and outcome compounds the system.

BOM-to-order execution layer for complex electronics transactions. Source · Substitute · Price · Flag risk · Learn

O2 Lab

Research-backed. Deployment-driven. O2 Lab turns world-model research into industrial agents that operate under real constraints and compound decision memory from every workflow.

Research base
Northwestern MLL Lab
MIT Media Lab
Berkeley SkyDeck
Research partners and Berkeley accelerator backing for world models, learned valuation, and agent intelligence in physical-goods workflows.
Agent foundations
Agents that understand, act, learn, and self-regulate.
Industrial agents must reason under cost, time, latency, privacy, tool reliability, workflow state, operational risk, and business outcomes.
Vision
The system of record for revenue decisions.
O2 starts with BOM intelligence and compounds into reusable decision memory for complex electronics transactions.

Build memory from every hardware decision.

Bring one real BOM, RFQ, or supplier quote. We'll show how O2 structures the decision, flags risk, recommends paths, and learns from the outcome.

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