AI Software Development
AI that earns its place in your product: measurable, reliable and built to run in production, not just in a demo.
- Copilots and internal assistants
- Intelligent document processing
- Retrieval-augmented search
- Workflow automation
- Analytics and prediction
- Conversational and voice interfaces
Our View
Add AI to the systems you already run, or build a new AI product from the ground up.
Most AI projects stall between a promising prototype and something people trust every day. The model is rarely the hard part. The hard part is the data around it, the guardrails, the evaluation and the way it fits into the work your teams already do.
We start from the business outcome, pick the smallest AI feature that moves it, and build it with the same engineering discipline as the rest of your software: tests, monitoring, cost controls and a clear path to improve it once real users arrive.
Add AI to the systems you already run
Bring LLM features into your ERP, CRM, internal tools or customer-facing product without rebuilding what already works.
Best suited for- Teams buried in repetitive, document-heavy work
- Products that need search, summaries or assistants
- Companies that want AI without a platform rewrite
Build an AI product from scratch
Take a new AI product from idea to launch: discovery, a working prototype, an MVP and the infrastructure to scale it.
Best suited for- Founders validating an AI-first idea
- Innovation teams launching a new line of business
- Products where AI is the core, not a feature
What We Build
AI software, built for production.
Copilots and internal assistants
Assistants that know your documents, policies and data, and answer within the permissions of the person asking.
Intelligent document processing
Extract, classify and validate data from invoices, claims, contracts and forms, with humans reviewing the edge cases.
Retrieval-augmented search
Search that understands questions, cites its sources and stays current as your knowledge base changes.
Workflow automation
Agents and pipelines that take over multi-step tasks across your tools, from intake to the final update.
Analytics and prediction
Forecasting, scoring and anomaly detection built on clean, well-modelled data pipelines.
Conversational and voice interfaces
Chat and voice experiences that hand off to people when they should, with full context.
Model-agnostic architecture
Claude, GPT, Gemini or open-source models behind one layer, so you can switch on cost, quality or data rules.
Evaluation and guardrails
Test sets, output checks and human review loops that show whether the AI is getting better or worse.
AI on legacy systems
Put an AI layer on top of older software so teams get modern capabilities while the core is modernised.
How We Work
Why teams build this with us.
Technology
Proven tools we often reach for.
Claude
OpenAI
Gemini
OpenRouter
LangChain
Hugging Face
PyTorch
Python
PostgreSQL
AWS
Do we need a fully scoped idea before we talk?
No. Many projects start with a short discovery phase where we map your workflows, find where AI would make a measurable difference and agree on the first feature worth building.
Which AI models do you work with?
We build with Claude, GPT, Gemini and open-source models, usually behind a single abstraction so the model can be swapped as prices, quality or data requirements change.
How do you keep our data private?
We use enterprise API terms that exclude your data from model training, keep sensitive data in your own cloud where needed, apply role-based access to every retrieval and log what the AI sees and does.
How do you know the AI is working?
Before launch we agree on the metric it should move and build an evaluation set from real examples. Every change to prompts, models or data is measured against it, and production usage is monitored the same way.
Can you work alongside our existing engineering team?
Yes. We can own the AI work end to end, or join your team and work in your repositories, rituals and review process.
Thinking about ai software?
Tell us where you are and where you want to be, and our team will get back to you with ideas, not a sales script.