AI & Machine Learning Development
Agents, generative pipelines and vision or document models that read, reason and act on your data — engineered to run in production, monitored, and handed over to your team.
Agents, generative pipelines and vision/document models that read, reason and act on your data — not demos, production systems.
Most AI work dies between the prototype and the first real user. A notebook that scores well in evaluation is not a system: it has no error handling, no monitoring, no integration with the tools your team already runs, and nobody owns it once the demo is over.
We build the version that survives contact with production. That means grounding model output in your own data rather than trusting it to be recalled correctly, putting deterministic rules around the decisions that must not be guessed, measuring accuracy against cases you actually care about, and deploying it with the logging and handover documentation your team needs to run it without us.
Outcome
Turn unstructured work into a system that runs itself.
Who it's for
- Teams with a working AI prototype that has stalled before production
- Operations that process high volumes of documents, images or inbound messages by hand
- Businesses whose data is spread across systems nobody can query in plain language
- Product teams adding an AI capability to software that already has users
What we build
AI & Machine Learning capabilities
Every capability below is work we build and deploy, grouped by the problem it solves.
Agents & conversational systems
Systems that hold a conversation, retrieve grounded answers from your own documents, and take actions against your real tools rather than describing what a user should do next.
- AI agents
- Business chatbots
- Retrieval-augmented generation (RAG)
- AI integrations
Document & vision AI
Turning the unstructured input that arrives as PDFs, scans, photographs and video into structured records your systems can act on — with confidence scoring so you know which values to trust.
- Intelligent document processing
- Computer vision
Prediction & personalisation
Models that rank, forecast and recommend against your own historical data, evaluated on the outcomes the business is measured on rather than on generic benchmarks.
- Predictive analytics
- Recommendation systems
Generative & custom builds
Generation pipelines and bespoke AI applications where an off-the-shelf tool does not fit the workflow, the data residency requirement or the cost envelope.
- Generative AI (image, video, voice)
- Custom AI application development
What you get
What lands at the end of the engagement
The same handover on every AI & Machine Learning project. Code, infrastructure and accounts are delivered to you — no proprietary lock-in, no hostage licensing.
Get free consultation- A deployed system running in your cloud account, not ours
- Evaluation results against your own test cases, not a generic benchmark
- Grounding, guardrails and fallback behaviour for when the model is unsure
- Integration with the systems the output has to reach
- Source code, prompts and infrastructure configuration handed over in full
Related work
AI & Machine Learning projects we've shipped
Selected from our portfolio — every entry is a system that was built and deployed.
DocExtract
Self-hosted PDF data extraction platform — schema-driven LLM extraction with OCR fallback, per-field confidence scoring and human-in-the-loop review, built to plug into an existing n8n pipeline.
See our workVoiceDeskAI
Inbound AI voice agent that answers business calls and books, reschedules or cancels appointments against real availability — Google Calendar sync, CRM integration and call transcription, multi-tenant across business types.
See our workVermieterCoach
German-language RAG coaching assistant for vacation rental hosts — grounded document search, AI analysis of booking-calendar screenshots, and an admin studio for managing knowledge and assistants.
See our workGrok Animation Tool
Chrome extension that adds animated AI-driven reactions on social media platforms.
See our work
Industries
Where we've applied AI & Machine Learning
Each sector below is backed by at least one project using this service.
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Healthcare
Medical imaging & patient apps
- View industry
HR and Recruitment
Candidate matching & screening
- View industry
Retail and E-commerce
Personalisation & recommendations
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Hospitality
Booking & reservation systems
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Media and Entertainment
Moderation, generative video & live analytics
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Corporate and SaaS
Embedded AI, documents & internal systems
Engagement
How a project runs
The same five steps on every engagement, whichever service you pick.
- 01
Discover
Tell us what you're trying to solve. Every submission is reviewed personally — no bots, no gatekeeping.
- 02
Design
A no-obligation scope with a clear plan and the next steps, back within one business day.
- 03
Build
Senior engineers who've shipped at scale build the risky part first, with weekly demos against the scope.
- 04
Deploy
Deployed to your cloud, documented and transferred — you own the code and the infrastructure.
- 05
Support
Ongoing monitoring and technical support, for as long as you want us to stay on.
Questions
AI & Machine Learning FAQs
The things people ask on the first call about this service, answered up front.
Other services
The rest of what we build
Six families, one team — so a project never stalls waiting on a hand-off between vendors.
Start an AI & Machine Learning project
Describe the problem and we'll come back with a scope and the next steps. Free consultation, no obligation. Response within one business day.