Innovation labs
Prove an AI, IoT or robotics idea in our lab in 2–6 weeks
Test AI, IoT, robotics or computer-vision ideas without building a lab of your own.
- A problem worth proving
- Sample data or footage
- A sponsor and success test
- Two to six weeks
- Use-case discovery workshops
- Rapid proof of concept or MVP
- Computer vision and AI/ML
- OT–IT integration and digital twins
- LLM and GenAI copilots
- Lab set-up consulting for your own CoE
- Interfaces
- Python
- PyTorch
- OpenCV
- ROS
- MQTT
- OPC UA
- Applies to
- Retail · Warehousing · Manufacturing
- Engagement
- PoC-as-a-Service · Innovation sprints · Dedicated innovation squad · Co-creation
In plain words
Hand us your list of ideas that never get time. We rank them, build the best ones as working pilots in weeks, and take the winners all the way to production.
- Who it's for
- Companies and global capability centres with more ideas than engineering time.
- How to start
- Send us your idea list; we come back with a ranked plan and a 2–6 week first build.
Words on this page, explained
- Proof of concept (PoC):
- Proof of concept: a small, fixed-scope trial that shows whether an idea works before you invest more.
- MVP:
- Minimum viable product: the first version with just enough to put in front of real users.
- Edge AI:
- AI that runs on the device or camera itself, so video and data don't have to leave your site.
- Computer vision:
- Computer vision: software that understands what a camera sees, such as an empty shelf or a missing helmet.
Our lab in India has robotic arms, vision stations, conveyors and a warehouse demo floor, plus an Experience Center where your stakeholders can see the result working. We run the whole path: use-case discovery, design, a proof of concept, validation with your stakeholders, a pilot, and the production version.
Why teams call us
- 01
Ideas stuck in slide decks
Teams need a place to test quickly without a capital project.
- 02
AI pilots with no route to production
We design PoCs so the winners can scale.
How we work
From first workshop to running in production.
- STEP 01
Idea intake
Business problem, success measure and data available.
- STEP 02
PoC in weeks
A working prototype on real data or a real shelf.
- STEP 03
Pilot
Live in one site with measured results.
- STEP 04
Productise
Harden, integrate and hand over, or run it for you.
What you get
Deliverables, not slideware.
- PoC report
- What worked, what didn't, and the business case
- Working prototype
- Code and hardware you can demo
- Scale plan
- Architecture, cost and timeline to production
Technology
No stack limits. Right tool for the problem.
AI
IoT and edge
Data
Need something not listed? We hire for it or bring in a specialist. The problem picks the stack.
Decisions on evidence
Each idea is proven or dropped quickly
A pipeline of innovation
A steady flow of tested ideas, not one-off hackathons
Innovation Labs: ideas to reality: common questions
Who owns what we build in the lab?
You do, including the code and the results.
Can the lab run inside our GCC?
Yes. It can run at your site, at ours, or both.
Engagement models
Ways to work with us
PoC-as-a-Service
fixed scope
Innovation sprints
quarterly programme
Dedicated innovation squad
continuous delivery
Co-creation
long-term joint innovation
Where this sits in the stack
Six blocks on one die. One team across all of them.
We work across .NET, C, C++, MFC, Go, Java, Python, Node.js, React and Spark, on GCP, AWS and Azure, plus embedded C on RTOS and embedded Linux. Pick a block to see where it fits.
Hover, tap or tab through the blocks. Lit copper shows which blocks work together.
Block · AI
Models at the edge and in the cloud.
- Python
- PyTorch
- OpenCV
- ONNX
- Computer vision on edge devices
- Model training on your own footage
- Forecasting and anomaly detection
- LLM copilots over your documents
Where it shows up
- Computer vision
- Innovation Labs (this page)
- Retail technology
The lab
GCC Innovation Labs, India
You use our lab and the engineers who run it, so there is nothing to buy or set up before the first experiment.
In the lab
- Robotic arms
- Computer-vision stations
- Edge and IoT connectivity
- Conveyor setups
- Warehouse demo environment
- Experience Center for live demos
What we prove
The path
Six stages, idea to product
Most clients start at stage one or three. You can stop after any stage.
- 01
Ideation & discovery
Find the use case worth proving
- 02
Solution design
Architecture, hardware and data plan
- 03
Rapid PoC build
2–6 weeks in our lab
- 04
Validation
Demonstrated to your stakeholders
- 05
Pilot deployment
Real site, real users
- 06
Productization
Hardened, supported, scaled
Engagement models
Five ways to use the lab
- PoC-as-a-Service
- One problem, fixed scope, fixed time
- Innovation sprints
- A run of short experiments against a theme
- Lab access + build support
- Your team in our lab, with our engineers alongside
- Dedicated innovation squad
- A standing team working through your backlog
- Co-creation
- Joint products and shared IP
Built in the lab
AI accelerators, ready to use
| Tool | Area | What it does | Availability |
|---|---|---|---|
| AI Desk | Documents | Q&A, analytics and document intelligence for contract analysis, summaries and risk detection | Available now |
| AI Chatbot | Support | A conversational assistant that automates support and business workflows in natural language | Available now |
| Code Migrator | Engineering | Automates application, database and source-code migration | Available now |
| Computer Vision platform | Vision | Store and site analytics: people counting, safety monitoring, intrusion detection and demographics | Available now |
| AI Governance | Governance | Compliance, quality and responsible-AI controls for every model you run | Available now |
| Analytics Bot | Analytics | Ask questions of a spreadsheet or extract in plain language; runs in the browser on WebAssembly, so data stays on your machine | Available now |
| Item Match | Data | Matches and de-duplicates products and records across catalogues with rules, fuzzy search and ML | Available now |
| Idea Flow | Innovation | Capture, evaluate and track ideas from submission to implementation | Available now |
| Sales Connect | Sales | Intelligent digital sell sheets that help sales teams recommend the right products | Available now |
| Produce Grading App | Retail | Grades freshness, detects defects and checks compliance for fresh produce | Available now |
| Document AI for Bills of Lading | Documents | Extracts data from bills of lading, invoices, PDFs and images | Early access |
| N Code | Engineering | AI-assisted software delivery, from requirements to deployment | Early access |
Scope your Innovation Labs: ideas to reality project
Tell us the problem, the constraints and the deadline. A senior engineer replies within one business day.