Alpha Platform

One system from
RFQ to ship

F2AI bridges the gap between shipyard demand and manufacturing capacity with engineering-grade tools designed for the deck plate.

F2AI platform walkthrough showing the RFQ dashboard, bid workspace, digital traveler, and operator tablet interface
F2AI Platform — Alpha Version

Feature 01

AI-Powered RFQ Discovery

Bid managers start each day with recommended RFQs, filtered by shipyard, fit score, and security alignment. Each opportunity surfaces a natural-language rationale showing why it matches your shop's proven capabilities — from historical TWP similarity to margin projections.

No more sifting through irrelevant solicitations. The scoring model will rank RFQs on capability match, profitability, and risk so your best people spend time building — not searching.

Fit Score 0-100 Shipyard Filters ML Comparison NAVSEA Parsing
F2AI dashboard showing the RFQ recommendation carousel with fit scores and key metrics for Navy shipbuilding bids

Feature 02

Integrated Bid Workspace

The full costing canvas — routing, labor, material, overhead — in one screen with live price and margin calculations. Production planners and bid managers work from historical data pulled automatically, with past routings, cycle times, and actual costs as reference.

Quotes that once took days compress into hours. Compliance fields, lead-time estimates, and quote approvals are built in — ready for Navy work from day one.

Live Costing Routing Builder Historical Pull Quote Approval
F2AI bid workspace showing live cost summary, routing table, labor details, and compliance fields

Feature 03

Release-to-Work & Digital Traveler

When a bid is awarded, one click converts it into a NAVSEA-compliant digital traveler carrying the part from award through shipyard acceptance. Materials, QA plans, and work instructions are validated through an RTW checklist before work hits the floor.

Quality engineers author TDP-aligned content with embedded 3D models, weld procedures, and inspection forms. The traveler meets MIL-STD-31000C requirements by design — not as an afterthought.

RTW Checklist MIL-STD-31000C Digital TWP 3D Viewer
F2AI job overview showing RTW checklist, operations progress, and activity feed for Navy manufacturing jobs

Feature 04

Operator-Ready Tablet Interface

Machinists and welders get a minimal, tap-friendly interface showing today's work in priority order. Large tiles, clear due dates, and one-tap actions for clock-in, hold, and NCR capture. No nested menus, no training overhead.

When issues arise, operators capture photos and notes in seconds — stopping defective work early before it compounds into costly rework downstream.

Tablet-First PIN Login NCR Capture One-Tap Actions
F2AI tablet interface showing operator work queue with job tiles, status badges, and priority indicators

Feature 05

Shipyard Signal

Automated progress updates flow back to the shipyard with zero disruption to the shop floor. As parts are fabricated and scanned, F2AI generates a structured signal — completion percentage, geometry match, NCR status, and estimated delivery — sent directly to the yard.

Shipyards gain the visibility they've never had into vendor progress, while manufacturers keep building without stopping to prepare status reports. The signal replaces uncertainty with a predictable data stream the yard can plan against.

Auto-Sent Updates Deviation Heatmap Zero Disruption Geometry Match %
F2AI Shipyard Signal showing automated progress report with deviation heatmap, geometry match percentage, and auto-sent status to HII-Ingalls

Feature 06

Machine Learning Engineering

Our development facility in Austin, TX is where we will build and integrate engineering-specific ML models purpose-built for shipbuilding manufacturing. 2D and 3D vision transformers enable similarity comparison between parts — matching new RFQs to historical builds by geometry, tolerances, and process characteristics to accelerate the bid process.

Stereo vision paired with model-to-scan comparison gauges build progress in real time, measuring fabricated parts against TDP reference geometry to surface deviations before they become costly rework.

Vision Transformers 3D Scan Comparison Part Similarity Austin R&D Lab
F2AI 3D model comparison showing TDP wireframe reference versus in-process solid scan with 98.6% geometry match and deviation measurements

Built for the people doing the work

Four roles, one connected workflow — from bid discovery to shipyard acceptance.

Bid Program Manager

Reviews AI-scored RFQs, decides bid/no-bid, and drives quotes through costing and approval with full historical context.

Production Planner

Converts awarded bids into scheduled jobs, assigns routings and work centers, and protects critical Navy delivery dates.

Quality Engineer

Authors TDP-compliant travelers, manages TIP/QAP content, monitors NCRs, and builds acceptance packages for the shipyard.

Operator

Follows step-by-step digital travelers on a tablet, clocks time, logs inspections, and flags non-conformances with one tap.

Invite-Only Development

Join the build

F2AI is actively developing the Alpha platform and aforementioned features with select manufacturing partners. Request early access to the platform, or connect with us to explore having your specific solutions available on F2AI.

No spam. We are focused on partnering to bring distributed and digital fabrication to U.S. Shipbuilding.

Early platform access
Development partner program
Solution integrations