PDFXLSXDOCS
Start with existing files
Use the drawings and historical quality documents your team already works with. Define a focused initial scope.
THE AGENTIC PLATFORM FOR MANUFACTURING
Manufacturing knowledge
Put to work
An agentic platform that connects manufacturing knowledge and automates engineering and quality workflows—so your team can focus on innovation.
AI for the routine. You for the innovation.
Built for automotive suppliersConnected quality deliverablesEngineer review at every step
THE STARTING POINT
From source information
To engineering action
Start with PPAP. Bring your existing knowledge into a workflow your engineers can review, refine, and make their own.
01
Bring your knowledge
Drawings, historical records,
and manufacturing experience
02
Build connected drafts
Process flow, PFMEA,
and Control Plan
03
Apply engineering judgment
Review the evidence.
Refine and approve the work.
FPPAP workspaceMounting bracket / Rev. B
Illustrative walkthroughDRAWING CHARACTERISTICSSample extraction
01
Hole diameterØ12 ±0.1 mm
Review requiredBring drawings and historical quality knowledge into one context.
Sample data and a conceptual interface. Engineering content is illustrative; no live AI processing or customer data.
MORE THAN TIME SAVED
Make room for
the next opportunity
More engineering capacity
Spend less time rebuilding documents and more time supporting new programs.
Stronger customer confidence
Prepare consistent submissions and respond to customer requirements with greater clarity.
THE BIGGER PICTURE
Start with PPAP
Build intelligence that lasts
Every reviewed deliverable is an opportunity to preserve experience—and put it to work on the next engineering challenge.
YOUR EXISTING INFORMATION
Drawings & requirementsQuality recordsEngineer decisions
YOUR MANUFACTURING KNOWLEDGE
Experience becomes a shared foundation.
Risks. Controls. Context. Engineering judgment.
PPAPStarting workflow
8D & problem solvingProduct direction
Engineering changesProduct direction
Lessons learnedProduct direction
Supplier qualityProduct direction
One knowledge foundation. More ways to put it to work.Expansion roadmap • scope discussed per deployment
KNOWLEDGE THAT COMPOUNDS
Your next program
should benefit from
your last one
Valuable experience lives in historical PFMEAs, Control Plans, and the decisions engineers make every day. FASTOS’s approach brings that context into the work itself.
Explore the PPAP example01
Retrieve relevant experience
Find prior risks, controls, and process knowledge.
02
Apply it to new work
Prepare drafts grounded in your own context.
03
Capture the engineer’s judgment
Preserve reviewed decisions for future reuse.
REVIEW → REFINE → REUSE
BUILT FOR REAL ENVIRONMENTS
A practical starting point
A path to expand
Begin with one valuable workflow and the information it needs. Build from there.
ERPMESPLMQMS
Fit your existing environment
Build an intelligence and execution layer around your current tools. Confirm connection and export options for your workflow.
Keep control close
Discuss local deployment and data requirements with our team. Engineers remain responsible for review and approval.
ABOUT FASTOS
Give engineers the freedom
to move manufacturing forward
Our mission is to free engineers from repetitive work and make manufacturing knowledge actionable. We’re building an agentic platform that connects expertise, data, and workflows—helping teams solve problems, preserve experience, and bring better products to life.
Chen He
Co-Founder & CEO10 years at Tesla, scaling global supply chains and working across manufacturing and supplier operations.
University of Michigan
Tesla
BorgWarner
AccentureJingxiao Lu
Co-Founder & CTOA decade leading data science teams, with experience building and shipping AI products at Airbnb, Wish, and Cresta.
MIT
Cresta
Airbnb
CareemTHE FASTOS BLOG
Ideas from the industry
Notes from the journey
Perspectives on manufacturing, practical AI, and what we’re learning as we build FASTOS.
A Better Machine Should Not Take Your Knowledge With It
By Jingxiao Lu·
An AI model is another piece of equipment. It brings capability, but it does not own the knowledge that makes the work valuable.
Read articleINDUSTRY PERSPECTIVES
Making sense of AI
in manufacturing
Ideas on engineering workflows, quality, and the future of industrial AI.
Articles coming soonLET’S START WITH YOUR WORKFLOW
Give your engineering
knowledge a new job
Explore where FASTOS could help your team.
Bring an engineering or quality challenge. Let’s find a practical starting point.