AI engineering for enterprise · Building since 20164 products · run on our own ops · 30+ enterprise clients
AI · Computer vision quality inspection

Most vision pilots die after the demo.

This is where yours would actually run.

Cameras and models that grade every unit for defects, dimensions, missing parts, and bad labels — then signal the PLC to pass or reject before the part moves on. Built past the point every rig demo stops.

Book a Discovery Sprint → The first call is free · 45 minutes · no obligation
02 · What we build

The full loop, not a notebook demo.

the system, end to end

Camera to PLC, wired into your line — not a script on a laptop.

Every unit imaged, scored against defects, dimensions, missing parts and bad labels, then passed or rejected by a signal into your line controller.

CAMERA MODEL PLC DASHBOARD
wide photo of a factory conveyor line with an overhead camera and control cabinet visible, documentary style, no people identifiable
owned, not rented

A dataset you maintain

Every flagged unit adds to a defect set that is yours, not locked in a vendor's model.

minimal line icon of a labeled image tile stacking into a folder, dataset concept
held to a number

A metric you watch

One accuracy figure on your dashboard — the number the system is held to.

minimal line icon of a single trend line crossing a threshold marker, metric concept
when the line changes

A retraining path

New lighting, new SKU, new defect — the model retrains instead of quietly drifting.

minimal line icon of a circular refresh arrow around a model node, retraining concept
on the floor, not the cloud

Edge hardware on the line

Inference at the line, not a round trip to a data center — decisions in time to act.

photo of a ruggedized edge compute unit mounted in an industrial enclosure near a production line
03 · How We Build

The model is a few weeks. The rig, the data, and the integration are the project.

Most vendors show you the model. We build the three stages before it — the ones that decide whether a demo becomes a line that runs.

01
minimal line icon of a camera rig mounted above a conveyor belt, angled down at a single part

Capture

Camera, lighting, and lens calibrated to your part and your defect — not a demo rig repurposed for your line.

02
minimal line icon of a grid of small labeled image thumbnails with one thumbnail tagged

Dataset

Your parts, your edge cases, your near-misses — labeled at the tolerance your line actually ships to.

03
minimal line icon of a neural network node graph converging to a single output point

Model

Trained and validated against your tolerance — the fast part, and the one every pilot deck already shows you.

04
minimal line icon of a signal line running from a camera to a PLC control box, ending in a pass/reject fork

Integration

Wired to the PLC so a verdict signals pass or reject before the part moves on — the step that never appears in a demo.

04 — WHY PILOTS STALL

Four handoffs. One of them is usually where it breaks.

A vision pilot doesn't fail all at once — it fails at a specific handoff between the rig, the data, the line, and the months after go-live.

  1. 01

    Rig

    Camera, lighting, and mount tuned to your line's belt speed and glare — not a benchtop demo.

  2. 02

    Data

    Images pulled from your actual defect population across shifts, not one clean batch.

  3. MOST PILOTS NEVER REACH THIS → 03

    Integration

    Model output wired to the PLC as a pass/reject signal the line acts on.

  4. 04

    Monitoring

    A metric you watch and a retraining path for when materials or lighting change.

07 · Dogfooding

Built for ourselves first.

Before any of it reaches a client, it runs our own ~300-person operation. We do not sell you software we hope works. We sell you the software we depend on.

minimal line icon of a magnifying glass scanning a resume card, hiring concept
InterviewGod

Hiring

Every engineer on your account was hired through it.

minimal line icon of an arrow branching outward from a single node, outreach concept
Vikaas

Outreach

The same demand-generation discipline behind your Discovery Sprint.

minimal line icon of an open book with an upward arrow above it, upskilling concept
Vidya

Upskilling

Trains our team the way your operators will train on the new line.

08 · Where We Deliver

Regional by default, not by request.

Engineering teams sit inside the regions we serve, and the decision log never leaves the region it was made in.

05 Offices
30+ Clients live
100% Decisions logged for audit

Bengaluru

India

Chandigarh

India

Dubai

United Arab Emirates

Cambridge

United Kingdom

California

United States
09 · THE HONEST VERSION

The version of this page most vendors don't write.

Five plain conditions under which the Sprint is the wrong call. Read them first — they cost us leads and cost you nothing.

  1. 01

    Live next week

    A rig, a dataset, and a PLC signal take weeks to prove, not days. Faster promises usually mean something got skipped.

  2. 02

    No visual signature

    Sound, smell, or weight-only variance never reach the sensor. We won't sell a camera against a defect it can't see.

  3. 03

    No real images to test

    The Sprint runs on your line's actual defect images. Without them, the feasibility read is guesswork — same as last time.

  4. 04

    Expecting a demo

    We hand over a dataset you maintain, a retraining path, and a wired PLC signal — a line control, not a proof-of-concept clip.

  5. 05

    Wanting someone else's proof

    We run our own 300-person operation on our own AI. That's our standard — the Sprint proves yours, not a borrowed case study.

None of these true? Book the Sprint →
10 · How We Start

The Sprint, in three numbers.

Before you commit to a build, the Discovery Sprint gives you a fixed-timeline answer on the exact defect your line ships today.

2 WEEKS

From your defect to a written feasibility verdict.

45 MIN

First call — your images, your tolerance, no deck.

$0

Cost of that first call. No obligation to continue.

SEND

The defect your line ships today, in the images you already have.

TEST

Dataset check and a model run scored against your tolerance.

VERDICT

A written pass/reject report — yours to keep either way.

Book a Discovery Sprint → The first call is free · 45 minutes · no obligation

13 · Get Started

Give us your hardest defect. In two weeks you'll know if a camera can catch it.

We test feasibility on the exact defect your line ships today — your images, your tolerance — before any build commitment. The verdict is yours to keep either way.

Book a Discovery Sprint →

What to bring

  • minimal line icon of a photo stack with one defect circled 10–20 images of the defect, as it looks on your line today
  • minimal line icon of a ruler beside a tolerance gauge The tolerance or spec that decides pass vs. reject
  • minimal line icon of a conveyor belt segment with a camera mount above it Line speed and mounting constraints where a camera would sit

45 minutes to a verdict — go or no-go.