Software grew by accretion
ERP, MES, PLC/SCADA, CAM and QMS each arrived with their own data model, clock and decision scope. The same spindle ends up described five different ways, and nothing guarantees those descriptions agree at any instant.
Intelligent Manufacturing
Precision, AI-assisted.
Every part we make is inspected and documented with AI assistance — so you don't get a promise of quality, you get the data that proves it.
- NDA on every enquiry
- No minimum order for prototypes
- Files reviewed within 4 business hours
AI-Assisted Inspection
Anomaly Detection
Digital Traceability
AI Quality Reports
The trust shiftFrom "trust us"
From "trust us"
to "here's the proof."
Traditional manufacturers inspect 2–10% of parts by hand and ask you to trust the rest. TruSkew uses AI-assisted computer vision to inspect every part in production and hands you a per-part quality report.
In sectors where failure means recalls, mission failure, or patient harm — proof beats promises.
0%
Parts Inspected
0M+
Data Points / Order
0
Defects Shipped Target
The four capabilitiesThe intelligence layer
The intelligence layer
behind every part.
01Flagship
AI Computer Vision Inspection & Metrology
We inspect parts with AI-assisted computer vision at production speed.
- Automated Optical Inspection — surface defects: scratches, burrs, porosity, cracks
- Vision-Based Dimensional Metrology — measured vs. drawing tolerance
- CAD-to-Part Deviation Mapping — 3D-scan overlaid on CAD, color heat-map
- Surface Finish (Ra) Estimation from vision data
- Thread & feature verification
Stack: Computer-vision models · OpenCV · Telecentric lenses
"You receive an AI-assisted inspection report with a deviation heat-map for every part."
AI-Assisted CV Inspection
02Reliability
AI Anomaly Detection
We catch defects that manual sampling can miss.
- Part-level: unsupervised models learn 'normal' and flag anything abnormal
- Process-level: spindle load, vibration, temperature, acoustic signal fusion
- Machine drift & tool failure detected before bad parts are made
- Novel defect discovery — not limited to a fixed defect library
Stack: Anomaly detection models · Spectral analysis
"The difference between 99% and 99.99% — which in defence and aerospace is everything."
Anomaly Detection · CNC-07
03Speed
Agentic AI Workflows
Intelligent agents that quote, review, and coordinate — in minutes.
- RFQ Intelligence Agent — reads drawings, extracts GD&T, material, tolerances, drafts a quote
- DFM Analysis Agent — flags impossible tolerances, suggests cost savings
- Vendor Allocation Agent — routes each job to the best-qualified partner
- Quality Documentation Agent — auto-generates inspection reports, MTCs, PPAP
- Supply Chain Orchestration Agent — tracks orders, predicts delays, alerts proactively
Stack: LLM agents · Structured extraction · RAG
"Every agent is auditable — every decision is logged with the data it acted on."
Agentic Workflow · Run #TS-4128
04Foresight
Predictive Quality & Digital Twin
We help prevent defects before we cut metal.
- First-Pass Yield Prediction from historical + design features
- Predictive Maintenance — tool-wear & machine-failure forecasting
- Process Parameter Optimization — optimal feeds, speeds, coolant
- Digital Twin — simulate the part & process before production runs
Stack: Predictive models · SPC + ML · Process simulation
"Bad parts prevented in silicon are bad parts you never pay for."
Digital Twin · Pre-Production Sim
The operating layer
Factory AI OS
The system behind the system.
An agentic operating layer for distributed precision manufacturing. It gives our partner network the one thing it has never had — a single authoritative state of every drawing, order, machine and inspection — and puts specialised AI agents on top of it to quote, allocate, inspect and certify work at the speed the market now demands.
Why it exists
Orchestration makes it harder
Capacity sits across independent job shops. Drawing revisions, work-in-progress, tool condition and free capacity live in WhatsApp threads and inboxes. The costliest error in this industry is 200 good parts made to an obsolete revision.
AI landed at the periphery
Vision models, wear models and forecasting are deployed as point solutions. Whether the scheduler actually consumes them is resolved manually. Intelligence accumulates at the edges while the coordination core stays rule-based.
The six-layer architecture
Read top-down: governance at the top, the shop floor at the bottom. Select a layer to see what it prevents.
Defines which decisions run autonomously, which need a named engineer's confirmation, and which are prohibited outright — plus an append-only audit record sufficient for aerospace and defence configuration control.
What this prevents
An autonomous system that cannot show what it did, on what evidence, and what it rejected.
Work order, route card, vendor PO with revision and MTC clause, QC report, delivery challan, tax invoice and e-way bill — generated from live state rather than retyped. Preconditions are re-verified immediately before dispatch.
What this prevents
Paperwork that contradicts the parts in the crate.
Every machine, partner shop, tool, fixture and inspection slot is represented as an agent that bids for work. Bids must pass a capability and feasibility filter before they are priced — a shop that cannot hold the tolerance is rejected, not merely outbid.
What this prevents
Winning a job on price that was never physically achievable.
Drawing understanding, DFM, cost modelling, wear and yield prediction, a live manufacturing knowledge graph, and an explanation service. These read state and write proposals — never direct commands.
What this prevents
A model quietly taking a decision that no engineer ever reviewed.
One authoritative record per part, order and asset — published with its staleness, residual and confidence attached. If the state is too old for the class of decision being asked, the kernel refuses and the declared fallback applies.
What this prevents
Two systems acting confidently on two different versions of the same truth.
Partner shops, CNC controllers, vision cells, sensors and gauges exposed through one uniform interface — capability, state, health — regardless of vendor, protocol or machine age.
What this prevents
A 1998 lathe and a 2025 five-axis centre needing two different integration projects.
The agents — and the problem each one solves
Ten specialised agents. Every one of them auditable, every decision logged with the data it acted on.
- Live
- Live — running today
- In build
- In build — under active development
- Roadmap
- Roadmap — planned, not yet built
Agent 1 of 10
Autoplay off — reduced motion
RFQ Intelligence Agent
IN BUILDReads the drawing, extracts GD&T, material and tolerances, and drafts a costed quote. Turns a two-to-three day quote cycle into minutes, with engineer sign-off retained.
DFM & Manufacturability Agent
IN BUILDFlags unachievable tolerances, awkward setups and cost drivers at enquiry stage — before the price is committed, not after the first article fails.
Costing & Rate-Card Agent
LIVEPrices from a structured machine-hour and process cost model, so the same part quotes at the same price to any customer, on any day, from any engineer.
Vendor Allocation Agent
IN BUILDRoutes each job to the best-qualified shop on capability, load, quality history and setup fit. Allocation on data rather than habit.
Capacity & Promise-Date Agent
ROADMAPCommits delivery dates against real partner capacity and flags slippage early. An honest date beats an optimistic one in every regulated supply chain.
Vision Inspection Agent
IN BUILDAI-assisted optical inspection and CAD-to-part deviation mapping at production speed. Proof per part, not a sample and a promise.
Anomaly & Tool-Wear Agent
ROADMAPFuses spindle load, vibration and acoustic signal to catch drift and novel defects — detected before bad parts are made, not after they ship.
Quality Documentation Agent
LIVEAssembles MTC, FAIR, CoC and PPAP packs from captured production data. Traceability becomes a by-product of running the job, not a week of paperwork.
Supply Chain Orchestration Agent
IN BUILDTracks every open order across the network, predicts delay and alerts proactively. Problems surface to us before they surface to you.
Compliance Gate Agent
ROADMAPHolds the certification logic: QCO, RDSO, IATF 16949, AS9100D, ISO 13485. Blocks any enquiry we are not yet lawfully qualified to fulfil.
Design principles
One authoritative state
No agent keeps a private version of the truth. Divergent beliefs about the same machine are the root of most coordination failure.
Feasibility before economics
Physical and capability admissibility is tested first. An attractive bid that cannot hold the print is discarded, not discounted.
Bounded autonomy
Models inform decisions; they do not own them. Each is scored, confined to a declared scope, and demoted automatically as it drifts.
Explanation is obligatory
Every autonomous action carries its evidence and the alternative it rejected. You will never receive an unexplained algorithmic price from us.
Outcomes
Minutes
quote turnaround on drawing-based RFQs, against an industry norm of two to three days
Per part
inspection evidence, in place of 2–10% manual sampling
One chain
heat number → vendor → operator → inspection → dispatch
8 processes
and 8 industry verticals coordinated on a single control plane
Scale ≠ headcount
the orchestration argument, in one line
A note on honesty. Every module above is labelled by its real status. We would rather tell you exactly what runs today than imply capability we do not yet have. AI augments our metrologists and engineers — it does not replace them, and a named engineer signs every decision that reaches you.
Live exampleThe AI Quality Report
The AI Quality Report
you get with every part.
Every part. Every dimension. Documented and traceable.
truskew.ai / reports / TS-EV-2841
Live
Every part. Every dimension. Documented and traceable.
Sector-by-sector AI valueThe highest-impact AI
The highest-impact AI
application, per sector.
Electric Vehicles
AI Application
CV inspection of rotor shafts + balance/runout anomaly detection at 15,000 RPM
Trust Reason
Helps prevent micro-imbalance issues — G2.5 verification.
Every part traceable · every inspection AI-assisted
Your fears, answeredThe traditional answer
The traditional answer
vs. the TruSkew AI answer.
Your Question
The Traditional Answer
The TruSkew AI Answer
Question
Will parts fail?
Traditional
We inspect samples
TruSkew AI
We inspect with AI assistance — and share the report per part.
Question
Can I trust your quality?
Traditional
We're ISO certified
TruSkew AI
Quality data is shared through a live dashboard.
Question
What about hidden defects?
Traditional
Our inspectors are experienced
TruSkew AI
Our anomaly AI flags unusual patterns and novel defects.
Question
Is the paperwork legit?
Traditional
We'll send certificates
TruSkew AI
AI-assisted, traceable documentation.
Question
How fast can you quote?
Traditional
Give us 2–3 days
TruSkew AI
Minutes — AI reads your drawing, with engineer review.
The technology
Built on a modern AI-assisted technology stack.
Engineered in-house and led by an AI engineer — not bolted on.
Computer Vision
- Computer-vision models
- OpenCV
- Telecentric lenses
Anomaly Detection
- Anomaly detection
- Spectral analysis
Agents
- LLM agents
- Structured extraction
- RAG
Edge Inference
- Edge inference hardware
- TensorRT
Data
- Time-series telemetry
- MQTT
- Parquet
TruSkew is a precision manufacturer founded and led by an AI engineer. While others compete on price, we compete on intelligence. This is a capability we are building deliberately.
Early Access
Join the TruSkew AI waitlist
We're onboarding a small set of aerospace, medical, EV and defence teams to test our AI-assisted inspection and quality reports on live parts. Add your details and we'll reach out with next steps.
- Free pilot on one production part
- Digital QC report benchmarked against your existing process
- Direct line to the founding team
FAQ
Common questions
No. It augments them. AI does the repetitive high-volume checks and flags anomalies; our metrologists focus on interpretation, sign-off, and decisions.
See the proof for yourself.
Upload a drawing and we'll show you exactly how AI-assisted precision works — from instant quote to per-part inspection report.
- NDA on every enquiry
- No minimum order for prototypes
- Files reviewed within 4 business hours