Skip to main content
AI Development

AI Development: LLMs, AI Agents and Computer Vision

We build and run AI products in production - so we know what it takes to make AI accurate, fast, affordable and compliant, not just impressive in a demo.

Start Your Project Common Questions
What We Build

AI Development Services

From a single AI feature in an existing product to a platform built around AI from day one.

LLM Assistants and AI Agents

Assistants that use your tools and data to answer, act and sell - grounded in facts, not guesses.

Semantic and Hybrid Search

Search that understands meaning, combining vector and keyword retrieval so the right result is found either way.

Document Processing and OCR

Extracting structured data from invoices, forms and contracts, with a human in the loop where it matters.

Computer Vision

Object detection and recognition, quality inspection and real-time video analysis.

Machine Learning and Analytics

Predictive models, classification and analytics that turn your data into decisions.

AI in Existing Products

Adding AI features to the software you already run, in Python or alongside your current stack.

How We Build AI

Production AI, Not Demos

A demo only has to work once. A product has to work for every customer, every day, at a cost that makes sense. These are the rules we build by.

Accuracy

Answers grounded in your own data through retrieval and tools, so the AI states facts rather than inventing them.

Speed

Streaming responses and latency targets set from the start, because users leave a slow assistant.

Cost Control

Spending caps on every paid API, caching and routing simple requests to smaller models.

Privacy

Self-hosted open-source models on EU infrastructure when data must never reach a third-party API.

Models and Tools

The Right Model for Each Task

We work with commercial models from Anthropic and OpenAI, and with open-source models we host ourselves. The most capable model goes where quality matters most; a smaller or self-hosted one goes where speed, cost or privacy matter more.

Our AI runs on the same Python foundations as the rest of our work - see our Python, Django and FastAPI development.

Models

  • Anthropic Claude
  • OpenAI
  • Self-hosted open-source models

Tooling

  • PyTorch and Transformers
  • scikit-learn
  • PostgreSQL and pgvector
  • Redis
Track Record

Proven on High-Stakes Work

Sector, scale and engagement model for each - the work speaks for itself.

Since Carpathica

AI agents Co-founded venture

An AI-agent commerce platform

Co-founded and built an AI-agent commerce platform that lets local businesses receive and serve customers' AI assistants in their own voice - vision, architecture and delivery end to end.

SaaS Own products

Products we build and run

Panthero and Keelr (continuous attack-and-defence security), Tissia (AI customer service) and Carpathica Academy (a complete learning platform) - designed, built and operated by our own team.

E-commerce technology Co-founded venture

€575k in a single year

Co-founded an e-commerce technology start-up in Romania that raised €300k and, the same year, won one of the region's leading start-up competitions and a further €275k.

Before Carpathica - our founder, in London and Cambridge

Marketing technology Outsourced build

An AI analytics platform that replaced the market leader

Built an AI social-media analytics platform from scratch for a London social media agency. It replaced the market-leading tool the agency had been using and earned UK Government innovation credit.

FAQ

AI Development: Common Questions

LLM-powered assistants and AI agents that use tools and business data, semantic and hybrid search, document processing and OCR, predictive analytics, and computer vision for detection and quality inspection. We also add AI features to existing products.

Commercial models such as Anthropic Claude and OpenAI, and open-source models we host ourselves. We pick per task - the most capable model where it matters, a smaller or self-hosted one where speed, cost or privacy matter more.

Yes. Open-source models can run on EU infrastructure you control, so sensitive data never reaches a third-party API. We run self-hosted models in production for exactly this reason.

By design: spending caps on every paid API, caching, routing simple requests to smaller models and measuring cost per conversation or per document from day one. AI that is too expensive to run is not a finished product.

Yes. We build and run Tissia, an AI customer service platform, and co-founded an AI-agent commerce platform for local businesses. Both are live, which is where our practices come from.

Yes - object detection and recognition, OCR and document processing, quality inspection and real-time video analysis.

Tell Us What You Need to Build

Start with a no-obligation discovery call about your scope, stack and timeline - directly with the founder, not a sales team.

Start a Conversation