Accepting new AI projects

London · UK-based · AI-native delivery · Est. 2019

AI-Native Software Development Company in the UK

We build software with AI at its core agents, copilots and intelligent products engineered for production, not just for a demo. UK-based teams, UK data standards, and outcomes you can measure.

130+
Clients served
4.9/5
Average rating
2019
Building since
3
Offices · UK/US/AU
BCI Computers ConocoPhillips The CAS MLS Easy Recovery Tapasya Classes

AI-native, not AI bolted on

Most “AI features” are an afterthought. We build the other way.

Bolting a chatbot onto a legacy app gets you a demo. Designing the product, data and workflow around what AI does well gets you something that changes how the business runs.

Designed around the model

Data, architecture and UX are shaped for AI from day one so intelligence is part of the product, not a widget on the side.

Built to ship, not to demo

Evals, guardrails, monitoring and cost controls so your AI survives contact with real users and real data.

Owned by you

Model-agnostic builds on infrastructure you control so you're never locked to one vendor or stuck inside a black box.

What we build

The full stack of AI-native products from agents to production ML.

One partner for the model, the product around it, and the team that keeps it running.

AI agents & agentic workflows

Software that reasons, uses tools and APIs, and completes multi-step tasks on its own with the right controls around it.

LLM & RAG applications

Apps that answer from your own documents and data accurately, with retrieval, citations and no hallucinated guesswork.

AI copilots & assistants

In-product assistants that help your team or customers do the work faster embedded where they already are.

Intelligent process automation

Automate the manual, repetitive work document handling, triage, data entry so your people spend time where it counts.

Generative AI features & products

Content, code, image and data generation built into your product with quality, safety and cost engineered in.

Custom ML & computer vision

Prediction, classification and vision models trained on your data for the problems off-the-shelf AI can't solve.

How we build AI that ships

A straight line from “could AI help?” to working software.

Four clear stages. We prove the AI works on your data before you commit the full budget.

01 / Discover

Find the right use case

We identify the highest-value problem and check whether AI is even the right tool for it.

You getA scoped use case with a business case and success metrics.
02 / Prototype

Build and evaluate

A working proof of concept, measured against real data with an eval harness not a vibe check.

You getEvidence it works before you spend on the full build.
03 / Build

Ship with guardrails

Production build with safety, monitoring, human-in-the-loop and cost controls baked in.

You getTested software with observability and controls from day one.
04 / Improve

Deploy and optimise

We ship, watch real usage, and keep improving accuracy while driving cost down.

You getA system that gets better and cheaper as it runs.

Why Fulminous

A UK partner that treats AI as engineering, not a magic trick.

✓

UK-based delivery & data standards

London-headquartered teams building to UK data protection expectations, with your data kept where you can see it.

✓

Model-agnostic by principle

Claude, GPT, Llama or Mistral we pick the model that fits your accuracy, privacy and budget, not a vendor tie-in.

✓

Production discipline

Evals, guardrails, observability and cost control are part of every build so AI holds up under real usage.

✓

Full-stack product teams

We build the whole product around the AI backend, frontend, cloud and DevOps not just the model call.

✓

Transparent, staged process

A costed plan you sign off before code, then visible increments you can watch and steer.

✓

Support that doesn't stop at launch

Ongoing tuning, monitoring and maintenance so accuracy and cost keep moving the right way.

The AI-native stack

The tools we reach for and swap as your needs change.

Models

  • Anthropic Claude
  • OpenAI GPT
  • Llama (open source)
  • Mistral
  • Fine-tuned models

Orchestration & data

  • LangChain / LlamaIndex
  • RAG pipelines
  • Pinecone / pgvector
  • Eval & guardrail tooling
  • Vector & graph stores

Cloud & MLOps

  • AWS · Azure · GCP
  • Docker / Kubernetes
  • Model monitoring
  • CI/CD for AI
  • Self-hosted inference

App stack

  • Python
  • Node.js
  • React / Next.js
  • .NET
  • REST & streaming APIs

Industries we serve

AI applied to your sector, with the compliance it demands.

Healthcare

Clinical copilots, patient triage and secure document intelligence built for sensitive data.

Explore healthcare →

Fintech

Fraud detection, document processing and compliant, auditable AI for financial services.

Explore fintech →

Retail

Personalisation, demand forecasting and AI-driven customer support across channels.

Explore retail →

Manufacturing

Predictive maintenance, quality vision and supply-chain intelligence that cut downtime.

Explore manufacturing →

Education

Adaptive learning, tutoring copilots and content generation for modern EdTech.

Explore education →

Restaurant & hospitality

AI ordering, booking assistants and demand-aware operations for hospitality.

Explore restaurant →

Trusted by teams across the UK & beyond

★5.0/5 Google ★4.9/5 Clutch ★4.7/5 GoodFirms ★5.0/5 Upwork ★4.8/5 G2 ★4.8/5 Trustpilot

“Their technical proficiency lets them tackle complex projects and deliver genuinely innovative solutions.”

Ben Brooks
Client

“The team showed a deep understanding of the latest technologies and industry best practices.”

Brett McCammon
Client

“Their approach ensures project objectives are met efficiently and with real attention to client needs.”

Ben McCabe
Client

Questions, answered

Frequently asked questions

An AI-native company designs software with AI built into its core rather than added on afterwards. The data model, architecture and user experience are shaped around what AI does well, so intelligence is a first-class part of the product not a chatbot stapled onto a legacy system.

Adding features means fitting AI into a product that was never designed for it, which caps how far it can go. AI-native starts the other way around: we design the workflows, data and interface for AI from day one, then engineer the evals, guardrails and monitoring an AI product needs to run reliably in production.

Cost depends on scope, integrations and how much accuracy the use case demands. A focused proof of concept can start small, while a full production build runs higher. We scope your project in a free strategy session and give you a clear, costed plan you sign off before development begins so there are no surprises later.

We build to UK data protection standards, keep your data on infrastructure you control where possible, and can avoid sending sensitive data to third-party models. Guardrails, access controls and audit logging are part of the build, not an afterthought.

We are model-agnostic. We build on leading models such as Anthropic Claude and OpenAI GPT, and on open-source models like Llama and Mistral when self-hosting or cost control matters. We choose the model that fits your accuracy, privacy and budget requirements not the one we are locked into.

Yes. A lot of our work is bringing AI into products that already exist adding a copilot, automating a workflow, or building retrieval over your own data. We audit what you have first, then recommend the least disruptive path to real value.

A working proof of concept can take a few weeks, while a production-ready build typically runs a few months. We work in short, visible stages so you see progress and can measure the AI against real data before committing to the full build.

Yes. We are headquartered in London and deliver across the UK, with additional offices supporting clients in the US and Australia.

Have an AI idea worth building properly?

Book a free strategy session. We'll pressure-test the use case, tell you honestly whether AI is the right tool, and show you what a production build would take.

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