Custom AI Development on Solid Python Engineering
We build production AI systems — LLM applications, RAG over your own data, and AI features inside real products — with the testing, structured outputs, and human-in-the-loop discipline that keeps them trustworthy, not just impressive in a demo.
- UK & EU businesses putting AI into a real product or workflow
- Teams that need RAG and LLM apps over their own data
- Founders who want production AI, owned and accountable — not a prototype
Why AnvilEight
Production AI Systems, Not Demos
Most companies advertising AI development today appeared in 2023. We have been shipping production Python since 2010, which changes how we build AI: a model call is just one step in a system that still has to be testable, observable, and accountable for its output. That is the scarce part now — anyone can call an API; making it reliable enough to trust is engineering.
For Runa, a B2B payments platform, we built an AI scoring engine that evaluates a company across a 17-point matrix using GPT-4o and Claude together — each model on the task it is best at — with structured-output parsers so every response is clean, schema-validated JSON. Crucially, it is quality-controlled: a batch-testing harness runs the engine against human-scored examples and measures agreement, and every prompt is editable without a code release. That is what "production AI" actually means.
Andrii took on a broad production-readiness scope — Stripe billing, Sentry, SMTP, webhook debugging, paywall gating — and delivered each piece cleanly. Prompt communication, responsible with production secrets.
What we build
AI Development Services
From LLM applications to RAG over your own data and the MLOps that keeps them healthy — the full path from idea to a system you can rely on in production.
See our case studiesServices
- LLM applications
- RAG over company data
- AI API integration
- Evals & prompt tuning
- MLOps
Stack
- Python
- OpenAI GPT-4o
- Anthropic Claude
- LangChain
- pgvector
- Docker / AWS
Track record
Data & AI Work, From Oxford to B2B SaaS
Our AI and data work is not new. We built RIOT — the Risk Impact Opportunities Tool — for the University of Oxford's Smith School Sustainable Finance Programme: a Python platform that generates environmental risk scores for economic entities from a bottom-up analysis of their assets, with the heavy geographic data engineering and caching that demands. On the LLM side, our Runa scoring engine and a guardrailed AI content engine show the same discipline applied to modern generative AI.
Looking to automate an operational workflow rather than build a product feature? See our AI automation services. Need senior engineers to extend your own team? Hire Python developers.
AI development: FAQ
More questions? Contact us- What AI solutions do you build?
-
Production LLM applications, retrieval-augmented generation (RAG) over your own documents and data, AI API integration into existing products, structured extraction and classification, evaluation and prompt-tuning systems, and MLOps.
- How are you different from the AI agencies that appeared in 2023?
-
We've shipped production Python since 2010, so we treat an AI feature as software that has to be testable, observable, and accountable — not a demo. Our AI work uses structured outputs, evaluation harnesses against human baselines, and human-in-the-loop checkpoints.
- Can you build AI over our private company data?
-
Yes. We build RAG systems that answer questions and generate content grounded in your own documents and databases, with guardrails so the model can't proceed on missing or unapproved information.
- How much does AI development cost?
-
Our standard rate is $1,600 per developer per week. We usually start with a scoped proof of value on your data, then move to production. Dedicated teams and fixed-price projects are available once scope is clear.
- Which AI models and tools do you work with?
-
We are model-agnostic and pick what fits: OpenAI GPT-4o, Anthropic Claude, and others, with LangChain, vector databases (e.g. pgvector), and structured-output parsers. We've combined multiple models in a single pipeline where each is strongest.
- Do you work with UK and European companies?
-
Yes. AnvilEight is a Ukraine-based company headquartered in Kharkiv, working in a European timezone with strong overlap with UK business hours. Most of our clients are UK and European businesses.
Contact
Have an AI feature to ship?
Tell us what you want the AI to do and we'll propose a path from proof of value to production. Or email contact@anvileight.com
Get a QuoteLet's work together
Don't like forms? Email us to contact@anvileight.com