Computer Vision AI
Turn camera feeds into useful production, quality and safety signals.
- Product counting & traceability
- Visual quality inspection
- Safety, occupancy & face detection
Industrial problems.Practical AI solutions.
Bring computer vision, generative AI and document intelligence into the workflows that run your operation. Custom implementation, from a focused pilot to an agreed rollout.
Request a discovery callThree ways to put AI to work.
From what your cameras see to what your teams need to know.
Industrial GenAI
Put LLMs and RAG to work with your operational knowledge.
- SOP & maintenance assistants
- RAG with source references
- Voice-assisted reports & shift handovers
Document Intelligence
Turn industrial paperwork into validated, usable records.
- Purchase orders, invoices & challans
- Quality & inspection documents
- Exception review & ERP workflows
Looking for business AI, AR/VR, simulation or software development? See our clients, past work and full range of solutions.
Explore clients & more solutionsConnect insight to action.
Combine these capabilities around the work your teams already do.
Receiving & dispatch verification
Combine camera-based counts with delivery documents to make quantity discrepancies visible before staff confirm a receipt or dispatch.
- Start with
- Checkpoint footage, delivery notes and SKU or order data.
- Evaluate
- Count and field correctness, discrepancy detection and review time.
Quality inspection & reporting
Flag agreed visual defects and use approved specifications and inspection records to prepare a report for quality-team review.
- Start with
- Representative images, defect definitions, specifications and report formats.
- Evaluate
- Missed defects, false rejects, evidence completeness and reporting effort.
Maintenance & shift knowledge
Help technicians find source-linked answers in manuals and turn spoken observations into structured, reviewed service records.
- Start with
- Asset manuals, approved SOPs, historical work orders and reporting forms.
- Evaluate
- Answer correctness, citation quality, field accuracy and time to completion.
Procurement & supplier documents
Extract RFQ and purchase-order details, compare relevant records and draft follow-ups for staff approval.
- Start with
- Supplier documents, approved commercial information and review rules.
- Evaluate
- Critical-field accuracy, missing information and handling effort.
Built around your systems.
Each engagement brings together the AI models, data flows and software integration needed for your use case. The deployment approach follows the operating requirements.
How we workDefine the scope
- One defined workflow and accountable team
- Representative camera footage or document samples
- Existing ERP, WMS, MES or business-system interfaces
- Agreed access, hosting, retention and review requirements
Agree what success means
- A measured baseline and acceptance criteria
- Correctness, false alerts and exception handling
- Staff review effort and operating cost
- Integration reliability and support ownership
Data security
Agree access, hosting and retention for camera feeds, documents and model providers before implementation.
Data integrity
Preserve source evidence, validate outputs and review exceptions before records reach your business systems.
Human oversight
Keep important decisions with your team, with defined review steps for AI alerts and generated outputs.