AI that does real work inside your product.

Assistants, automation and insight built into the tools your customers and team already use, from chatbots that answer questions to models that spot patterns in your data.

  • Grounded in your data
  • Practical, measurable use cases
  • Human review where it matters
  • Private by design
AI and Machine Learning

What we build.

AI and machine learning from Quru Lab: chatbots and assistants, natural language processing, computer vision and predictive analytics that make products smarter and work faster.

  • Chatbots and assistants

    Assistants that answer customers and staff using your documents, policies and product data.

  • Natural language processing

    Summarising, classifying and extracting information from text, emails and documents.

  • Computer vision

    Reading documents, checking images and recognising objects so manual review takes minutes, not hours.

  • Predictive analytics

    Forecasts and risk scores from your own data, to help you plan stock, staff and cash.

  • Workflow automation

    AI steps added to everyday workflows: drafting, routing, checking and following up.

  • AI strategy

    A clear view of where AI will pay off in your business, and a plan to get there safely.

How we work

From first call to launch, and after.

The same process we use on our own products, so you always know what happens next.

  1. Step 1

    Find the use case

    We identify where AI saves real time or money, and how we will measure that it does.

  2. Step 2

    Prepare the data

    We gather, clean and secure the data the model needs, and agree what it must never see.

  3. Step 3

    Build and evaluate

    We build a working version and test it against real examples before anyone relies on it.

  4. Step 4

    Deploy and monitor

    We put it into your product with guardrails, track accuracy and keep improving it.

Technology

Tools we trust.

We pick the stack that suits your product, team and budget, not the other way round.

Models
Large language modelsVision modelsCustom ML models
Techniques
Retrieval-augmented generationClassificationForecasting
Languages
PythonNode.jsGo
Hosting
AWSAzureVector databases
FAQs

Questions about ai and machine learning.

Straight answers before you get in touch.

  • With one repetitive, well-understood task where mistakes are easy to catch, such as answering common questions or summarising documents. We help you pick it, prove the value, then expand.

  • Yes. We connect assistants to your documents and systems so answers are grounded in your information, and we control what each user is allowed to see.

  • Yes. We choose providers and settings that do not train on your data, limit what is sent to models and keep sensitive information protected throughout.

  • We test against real examples before launch, add human review for important decisions and monitor answers in production, so errors are caught and the system keeps improving.

Start a project

Got a product to build?

We build products for a living, our own and other people's. Tell us what you are trying to put in the market, and we will tell you how we would build it.

See our work

Or reach us directly at [email protected]