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Pillar 02 · R&D, AI and prototyping
Prove it before you scale it.
Dhiyo Labs turns bold ideas into working prototypes, using AI, computer vision and connected devices, then shows you with evidence what is worth building.
Overview
Ideas, tested with evidence.
Every organisation has ideas it is not sure about yet. Can a camera spot defects reliably? Will a model forecast demand well enough to act on? Can sensors cut maintenance costs? Dhiyo Labs answers these questions quickly and honestly, with a working prototype, measured results and a clear recommendation: scale it, change it or stop.
What we believe
- 01
Evidence over hype
Results are measured against criteria agreed before any code is written.
- 02
Responsible AI
Privacy, bias checks and human oversight are built into every model.
- 03
From lab to production
Proven prototypes move straight to a full build, with no new vendor.
Sectors we serve
- Industry and manufacturing
- Government and defence
- Healthcare
- Retail
- Education and research
- Museums and public spaces
Our services
Eight services, one team
Eight services, delivered and supported by one team. Each one has its own page with what we do, who it is for and what you receive.
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Machine learning
Prediction, classification, recommendations and anomaly detection, trained on your data and tested against real outcomes.
View service -
Computer vision
Object detection, inspection, counting, safety monitoring and video analytics from standard or IP cameras.
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Generative AI
Document understanding, search over your own knowledge, and assistants inside your tools, with privacy controls.
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IoT prototyping
Sensors, controllers and edge devices built and tested before a large rollout by Dhiyo Systems.
View service -
Edge and on-premise AI
Models that run inside your own network, including air-gapped environments where data cannot leave the building.
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Digital twins
Live virtual models of assets, sites or processes, built with Dhiyo Studio's 3D team.
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Data readiness
Assessing, cleaning and labelling data so models have something reliable to learn from.
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Technical research
Feasibility studies, technology scans and benchmarks that answer "can this work?" before you invest.
View service
Solutions
Problems we can help you solve
Six common starting points. Each begins as a short, measured experiment before any large investment.
Defect detection on production lines
Cameras and vision models that spot surface, assembly and packaging faults as parts move.
Predictive maintenance
Sensor data and models that flag failing equipment before it stops the line.
Footfall and visitor analytics
Counting, dwell time and flow maps for stores, museums, campuses and public spaces.
Document intelligence
Reading invoices, forms and reports automatically, with checks a person can review.
Private knowledge assistant
Ask questions of your own policies, manuals and records, without data leaving your control.
Energy and environment monitoring
Sensors and dashboards for power, air quality, temperature and water across sites.
How we work
How we deliver
Five steps from a business question to evidence you can act on.
Frame the question
Agree the problem, the users and what success must look like, in numbers.
Check the data
Assess the data you have, what is missing and how to collect or label it.
Build the prototype
A working model or device, built quickly and tested in your setting.
Measure honestly
Results measured against the agreed criteria, including where it falls short.
Recommend the path
Scale it, change it or stop, with a plan and cost for the next step.
What you receive
- Success criteria and test plan
- Data assessment report
- Working prototype or trained model
- Results report with metrics
- A clear go / no-go recommendation
- Scale-up plan and cost estimate
Technology we use
- Python
- PyTorch
- TensorFlow
- scikit-learn
- OpenCV
- YOLO
- Open and commercial LLMs
- MQTT
- Modbus
- LoRaWAN
- Raspberry Pi
- ESP32
- NVIDIA Jetson
- Time-series databases
- Your data stays yoursUsed only for your project, deleted or returned on request.
- Confidential by defaultNDAs before discovery, need-to-know access.
- Honest resultsWe report what did not work as clearly as what did.
Why us
Why Dhiyo Labs
- 01
Evidence over hype
You get measured results and a straight recommendation, even when the answer is no.
- 02
Responsible AI
Data privacy, bias checks and human oversight built into every model.
- 03
From lab to production
Successful prototypes move straight to Dhiyo Digital for a full build, with no hand-off to a new vendor.
- 04
Small bets first
Fixed-length sprints keep early investment low.
View in 3D and AR
An edge AI box, in your room
Models that run inside your own network, including air-gapped environments where data cannot leave the building.
On a phone or tablet with AR, open the model and choose “View in your space”. On a computer, drag the model to turn it.
Ways to start
Start with a question. Leave with evidence.
Four ways to begin, each with a clear scope, a fixed timeline and a defined result.
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AI Readiness Review
1–2 weeksYour data, systems and ideas reviewed, with a ranked list of use cases worth testing.
Ask about this: AI Readiness Review -
Innovation Sprint
4–6 weeksA working prototype for one use case, with measured results and a clear recommendation.
Ask about this: Innovation Sprint -
Pilot Deployment
2–3 monthsA proven prototype run in live conditions at one site, with real users and real data.
Ask about this: Pilot Deployment -
Model Care
AnnualMonitoring, retraining and performance reports so models stay accurate over time.
Ask about this: Model Care
One company, four pillars
Works with the other pillars
Dhiyo Labs works alongside Dhiyo Digital (software and platforms), Dhiyo Systems (integration and infrastructure) and Dhiyo Studio (immersive and 3D experiences). One contract, one point of contact, one accountable team.
Dhiyo Systems
Integration, infrastructure and smart environments Explore SystemsDhiyo Studio
Immersive & 3D experiences Explore StudioHave an idea you want to test?
Tell us what you want to create, improve or prove. We reply within two working days.