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Complete autonomous aerial system with operators in an active environment

Automotive electronics platform operating in a vehicle environment

Robotics and logistics system operating in a real deployment environment

Heavy industrial autonomous equipment operating in the field

FOR ROBOTICS, AUTOMOTIVE ELECTRONICS, AND INDUSTRIAL SYSTEMS TEAMS

The trusted layerfrom system designto production.

KnowYi turns application requirements, incomplete files, and unfinished drawings into engineered, built, verified, and delivered industrial products.

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AerospaceAutomotiveRoboticsIndustrial SystemsMedical

LIVE MANUFACTURING REASONING WORKBENCH

Watch a Build become a manufacturing decision.

Upload incomplete engineering material. KnowYi understands it, decides, executes and learns from the result.

Current Builds

Field controller enclosure
KY-2047 · 2 decisions to review
AMR chassis bracket set
KY-2041 · In production
Sensor harness, 12-way
KY-2038 · Awaiting one input
Motor driver PCBA
KY-2030 · Outcome validated
Gearbox housing, rev C
KY-2024 · Reading files

Pending clarifications2

Customer input

4 FILES

controller-housing.step4.2 MB

C-104-enclosure.pdf820 KB

bom-rev-b.xlsx36 KB

install-notes.pdf1.1 MB

Quantity

250 units

Target delivery

2026-09-18

Evidence sources

Use case

Pole-mounted controller for outdoor field operation

controller-housing.step

Processing

Reading files4 artifacts parsed
Extracting intentOutdoor field operation
Identifying design conditions6 conditions
Checking missing inputs1 unresolved
Connecting prior evidence3 similar Builds

What KnowYi understands

Reading

Engineering intent

An outdoor, pole-mounted controller that must survive weather exposure and stay serviceable in the field.

Application
Pole-mounted field controller
Operating environment
Outdoor, weather-exposed
Production volume
250 units
Key functional requirement
Serviceable without removing the mount
Detected design condition
Cable entry is not sealed
Unresolved input
Is the mount ever submerged?

Extracted design conditions

Cable entry is not sealed
Wall thickness 1.8 mm on a 96 mm face
Tight tolerance on a non-critical bore
Powder coat specified after machining

Incomplete design material becomes a structured Build context.

Manufacturing intelligence is already running in live customer Builds.

Active customers

$0.0K

Monthly GMV, from $3K

Days from first revenue to $145.6K monthly GMV

Repeat rate among enterprise customers after a first completed order

MANUFACTURING REASONING PLATFORM

One continuously improving system for every Build.

KnowYi connects engineering intent, design conditions, manufacturing decisions and real production outcomes so the next similar Build starts with proven judgment.

Automatic intake

The moment a Build arrives, the system starts working.

Drawings, BOMs, requirements and a delivery target become engineering intent, design conditions and a named list of what is still missing.

Uploaded

controller-housing.step

Solid model

C-104-enclosure.pdf

Drawing

bom-rev-b.xlsx

Bill of materials

Delivery target

2026-09-18 · 250 units

Automatic intake

Read artifacts
Extract intent
Detect conditions
Check for gaps

Build context

Engineering intentExtracted

Design conditions6 found

Functional requirementExtracted

Missing information1 open

Rules + evidence

Decisions follow the product's real engineering constraints.

Deterministic rules, retrieved outcomes from similar Builds and model reasoning are composed into one decision with alternatives and impact.

Inputs

Engineering intent

Outdoor field operation

Design condition

Cable entry is not sealed

Evaluated by

Deterministic rule

Outdoor + unsealed entry → sealed gland

Similar-Build retrieval

3 validated · 1 contradicting

Model reasoning

Resolves the remaining ambiguity only

Composed decision

Recommendation

IP-rated sealed cable gland

Alternatives

3 considered, reasons recorded

Expected impact

+$4–7 · lead time flat · lower risk

Confidence derived by policy, not by the model

88% — rule match, evidence reliability and validated precedent

Risk detection

Find the failure mode before it becomes scrap or delay.

Tolerance conflicts, tool access, finishing distortion and unavailable components surface while the design can still change cheaply.

Evidence

Drawing conditions

BOM availability

Process capability

Prior outcomes

Risk before release

Peak at surface treatment · thin-wall distortion

Executable now

Relax the non-critical bore

Removes a second setup

Add fixture support

Controls thin-wall distortion

Substitute the long-lead part

Equivalent, in stock

Tolerance conflict and finishing distortion raised before release · inspection requirement added

Shared execution

Built for everyone accountable for the delivered hardware.

One Build, projected safely per role, so progress, risk, evidence and the next action stay the same for everyone.

Accountable for delivery

Build KY-2047 · same state, safe projection

Build progress

74%

Open risks

Delivery

On track

Next action · Confirm D-4411 so the run can complete

Internal cost and production-partner identity are not shown

From the first Build, AI starts understanding the customer.

Build summary

KY-2047

Uploaded package

controller-housing.step · C-104.pdf · bom-rev-b

Engineering intent

Outdoor field operation, serviceable in place

Production quantity

250 units

Delivery target

2026-09-18

Unresolved input

Is the mount ever submerged?

Engineering artifact

controller-housing.step

Rev C

Rough machiningFinish machiningDeburrPowder coatInspection

Customer context

Design features

Machined aluminium housing
Bolted service lid
Pole-mount bracket

Functional intent

Weather-exposed operation
Field-serviceable lead
No shelter assumed

Process constraints

Coated after machining
Single-setup preference
6061 availability

Quality requirements

Ingress verification
Dimensional report
Coating adhesion check

DFM decision

Use an IP-rated sealed cable gland

Cost / lead+$4–7 per unit · no material lead-time change
QualityAdd ingress verification to the inspection plan
EvidenceDrawing C-104 · installation notes · 3 validated Builds
LearningPrediction recorded — awaiting the production outcome

STEP 1 / 8

Uploaded package connects — STEP, drawing and BOM attach to one Build.

One manufacturing reasoning system, adapted to each hardware team.

The reasoning stays the same. The design conditions, process evidence and inspection requirements change with the team.

CurrentRobotics|Mechanical parts · PCBA · Harnesses · Actuation · Final assembly

Engineering files

CAD, drawings, BOM, requirements

KnowYi understanding

Intent and design conditions

Manufacturing decisions

Evidence, alternatives, impact

Serviceability, harness routing and assembly sequence

Executable Build package

Revision-controlled release

Production and QC evidence

Inspection and test records

Mechanical parts
PCBA
Harnesses
Actuation
Final assembly

Delivered units

Accepted quantity and records

Assembly time and field-service findings return to the Build

Production outcome

Production outcome returns to the reasoning system

Validate or contradict the decision · update reusable logic · start the next similar Build ahead

Measurable outcomes for the team accountable for the hardware.

Each outcome is something a hardware team can check against their own last Build.

Robotics platform operating in a logistics environment

Engineering response

Days, not months

A Build returns structured understanding and its first manufacturing decision without waiting on a full engineering cycle.

Start a Build

Heavy industrial system operating in the field

Production risk

Found before release

Tolerance conflicts, finishing distortion and ingress paths are raised while the drawing can still change.

See how decisions work

Automotive electronics platform in operation

Commercial clarity

Cost and tradeoffs are visible

Every recommendation carries its unit-cost, lead-time and risk impact, plus the alternatives that were rejected.

See a decision

Agricultural robotics hardware operating in a field environment

Compounding judgment

Every completed Build improves the next

Production outcomes validate or contradict the decision, and the validated logic is reused on the next similar Build.

See the learning loop

Manufacturing intelligence built from real production work.

KnowYi's reasoning is shaped by delivered Builds — drawing reviews, manufacturability findings, inspection records and the production results that proved them right or wrong.