Detect. Classify.
In real time.
Machine and computer vision systems for inspection, quality control, and real-time detection, deployed at the edge and in the cloud for railway and industrial operators.
Ask AI about this service
We design and deploy computer vision systems where the stakes are operational: railway quality inspection, manufacturing defect detection, and document digitisation. Our MVIS platform brings automated visual inspection to railway and industrial quality control. Beyond this, we build custom computer vision pipelines optimised for both edge and cloud inference, tuned to the specific detection requirements of your operational environment.
What we build.
Industrial Inspection
Automated visual inspection that catches surface defects, dimensional deviations, assembly errors, and quality anomalies at production line speeds, with the imaging setup designed alongside the detection model for the real manufacturing environment.
Railway Vision (MVIS)
Our Machine Vision Inspection System automates inspection of rolling stock components, wheel profiles, brake gear, and underframe, at depot speeds, with no need to take the vehicle out of service for extended visual checks.
Object Detection & Tracking
Detection and multi-object tracking pipelines for operational settings, warehouses, perimeters, platforms, and field sites, built to work in rain, dust, and low-light where backgrounds and lighting are unreliable.
Document Digitisation
Intelligent document processing that turns scanned forms, engineering drawings, inspection records, and historical reports into structured, queryable data, handling multi-language text, degraded scans, variable layouts, and handwriting.
First detections on your own images in 14 days.
From the day you engage us, not from a kickoff weeks later. Every milestone is a result you can see.
- Day 3
Imaging setup and defect or object classes defined
- Day 14
Baseline model scored on your data, with a clear accuracy report
- Day 45
Line-speed or edge deployment with a review workflow
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Fixed scope
Scope, price, and milestones are agreed before work starts.
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No surprises
Weekly demos and plain-language status. Changes are priced before they are built.
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Compliance from day one
Data handling, image retention, and traceability of every model decision are specified up front for audit and certification.
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You own the IP
Code, models, and documentation transfer to you on successful handover.
Know the price, the date,
and the exit before we start.
Fixed-scope project. A defined deliverable at a fixed price and date. Payment is released as each milestone is accepted. The same terms are written into every statement of work for machine & computer vision, so there is nothing to discover later.
- Quote Within 5 working days Price per milestone, dates, and named architect
- Priced One price per milestone Third-party costs listed separately, at cost. Invoiced in USD for international clients
- Paid On accepted working software Not on calendar dates or hours logged
- Changes Written and priced first Cost and date impact before work starts
You fund accepted work, never a promise.
Drag to move through the engagement. Money is released only as each gate is accepted, so what you have paid never runs ahead of what you can use.
- Milestone 1Day 3
Imaging setup and defect or object classes defined
Accepted whenWorking software demonstrated against the written acceptance criteria.
Releases 20% - Milestone 2Day 14
Baseline model scored on your data, with a clear accuracy report
Accepted whenWorking software demonstrated against the written acceptance criteria.
Releases 30% - Milestone 3Day 45
Line-speed or edge deployment with a review workflow
Accepted whenWorking software demonstrated against the written acceptance criteria.
Releases 30% - HandoverAt final acceptance
Code, architecture documents, deployment scripts, and credentials transferred to you.
Accepted whenFinal acceptance signed. Defects then fixed under warranty at no charge.
Releases 20%
Illustrative split. The exact percentages and dates are fixed in your statement of work.
When something goes wrong, who pays?
Every project meets surprises. What matters is who carries them. Pick one and compare how three commercial models respond.
The hours keep running while the team investigates. You pay for the surprise.
A change request is raised, usually priced at a premium and argued over.
We verified it before quoting, and the risk register held an allowance. Any overrun beyond it is ours.
It is absorbed into the hours. The date slips quietly and you learn at the invoice.
A change fee arrives, often as a lump sum with little explanation.
You get a written amendment with cost and date impact. Nothing starts until you approve it.
You pay for the difference. The estimate was only ever a guess.
The vendor reopens scope to recover margin, or cuts corners to hold it.
The price stays fixed. The overrun is ours to carry, and you see the budget position at every demo.
It is billed on the calendar anyway. The status report says "on track".
The invoice follows the date in the contract, whether or not the work is done.
Payment for that milestone is held until it passes the written criteria. You do not fund a miss.
One price, built in the open.
The proposal itemises every feature or milestone, names its assumptions, and keeps a risk register with allowances. Allowances you never use are not billed.
- Data readiness and volume
- Accuracy or quality bar to be met
- Deployment: on-prem, private VPC, or air-gapped
- Number of workflows or use cases
A representative data sample is available in week one.
If falseWe re-baseline the accuracy target and price together, in writing.
The quality bar is a number agreed up front, measured on your data.
If falseMoving the bar is a costed change request, not a quiet scope drift.
Hardware for private deployment is provisioned by Day 7.
If falseDates move by the delay. The price does not change.
- Cloud hosting
- Third-party licences
- Model and API usage
Invoiced in USD for international clients, with the currency fixed in the SOW. You own it. Code, models, documents, and credentials transfer on payment.
Built on a production-grade stack.
We pick tools proven in production and maintainable over long lifecycles - not whatever is trending. These are a few we reach for here; explore the full stack behind our engineering.
Explore our technology stack →
What buyers ask before they commit.
Straight answers on timelines, price, risk, and ownership, the same terms that appear in every proposal.
01What is Machine & Computer Vision?
Machine vision and computer vision systems for industrial inspection, railway quality control, and real-time detection. Edge and cloud inference for PSUs and enterprises.
02How quickly does Machine & Computer Vision deliver a first result?
First detections on your own images in 14 days. Typical milestones are Day 3: imaging setup and defect or object classes defined; Day 14: baseline model scored on your data, with a clear accuracy report; Day 45: line-speed or edge deployment with a review workflow. Exact dates are written into the statement of work before you commit.
03How is Machine & Computer Vision priced?
Fixed-scope project: one price per milestone, with a first-release date, itemised in a statement of work within five working days of scoping. Payment is released as each milestone is accepted against written criteria. Cloud hosting, licences, and model usage are passed through at cost. International clients are invoiced in USD. The main price drivers are data readiness and volume, accuracy or quality bar to be met, deployment: on-prem, private VPC, or air-gapped, number of workflows or use cases.
04What happens if the scope changes or the work overruns?
The price stays fixed. A change to scope is quoted in writing, with its cost and date impact, and starts only after you approve it. If our own estimate was wrong, the overrun is ours, not yours. You see the budget position against milestones at every demo.
05Who owns the code, models, and documentation?
You do. Code, models, and documentation transfer to you on successful handover. Code, architecture documents, deployment scripts, and credentials transfer on payment, with no licence back.
06How are security and compliance handled?
Data handling, image retention, and traceability of every model decision are specified up front for audit and certification.
07Do you work with clients outside India?
Yes. We are based in Noida and work with clients around the world, delivering remotely. Calls and demos are scheduled in your time zone, proposals and contracts are in English, international clients are invoiced in USD, and every engagement follows the same fixed-scope terms regardless of where you are.
08When would you decline to fix a price?
Open-ended research has no end date, so we time-box it. We commit a fixed fee to reach a measured baseline, and decide the next step with you from the evidence.
Vision systems built for operational environments.
Whether you need a custom inspection system or want to explore MVIS for a railway application, the conversation starts with the environment your system needs to operate in.