AI Development Company
AI Development Company for Startups and Enterprises
Brainofire is an AI-first product studio. We help founders and businesses decide where AI genuinely pays off, then design, build and run the product: agents, LLM features, automation and the infrastructure underneath them.
- AI-first studio: AI is our core work, not an add-on
- Strategy, design, engineering and MLOps under one roof
- Model-agnostic: OpenAI, Anthropic, Google and open-source
- Evaluation and monitoring built in, not bolted on
Where it pays off.
Add AI to an existing product
Search, summarisation, drafting, classification or an assistant inside software your customers already use.
Launch an AI-native startup
Go from idea to a working, testable AI product with a focused first release instead of a sprawling roadmap.
Automate internal operations
Replace repetitive, document-heavy or email-driven workflows with reliable AI-assisted processes.
Turn company knowledge into answers
Give teams and customers grounded answers from your documents, tickets, wikis and databases.
What we deliver.
Every engagement is fixed-scope, fixed-timeline and fully transparent.
AI strategy & discovery
We map your workflows to AI opportunities, rank them by value and feasibility, and tell you honestly when AI is not the right tool.
AI agents & automation
Tool-using agents and workflow automation that act on your systems, with approvals and guardrails where it matters.
LLM & RAG applications
Retrieval-augmented systems grounded in your own data, with citations, access control and measurable answer quality.
Production AI infrastructure
Evaluation harnesses, observability, cost controls, vector stores and deployment pipelines that keep AI reliable after launch.
Why teams work with us.
One accountable team
Design, backend, front end and AI engineering work together, so there are no hand-offs between vendors.
Honest scoping
We prototype the risky part first and show you real outputs before committing to a full build.
No model lock-in
Architectures are built so models and providers can be swapped as quality and pricing change.
You own the result
Source code, prompts, evaluation sets and documentation are handed over, not held back.
How we work.
1. Discover
Workshop your goals, data and constraints. Output: a ranked list of AI opportunities and a recommended first scope.
2. Prototype
Build a thin working slice against real data to prove feasibility and surface edge cases early.
3. Build
Weekly sprints with demos. Evaluation sets are written alongside features so quality is measured, not guessed.
4. Launch
Staged rollout with monitoring, cost tracking and fallbacks for model or provider failures.
5. Improve
Use real usage data to tune prompts, retrieval and models, and extend into the next use case.
Our stack.
Tools we use every day to ship faster and safer.
What you get.
Every engagement ships with these, minimum.
- Working AI product or feature in production
- Evaluation set and quality benchmarks
- Monitoring, logging and cost dashboards
- Source code, architecture notes and handover documentation
Frequently asked questions.
What does an AI development company actually do?
An AI development company designs and builds software that uses machine learning and large language models: assistants, agents, document processing, recommendation and automation. That includes the surrounding engineering such as data pipelines, integrations, evaluation, security and deployment.
How do I know if my business needs custom AI rather than an off-the-shelf tool?
Off-the-shelf tools work well for generic tasks. Custom AI makes sense when the workflow depends on your proprietary data, must integrate deeply with your systems, needs strict access control, or is a differentiating part of your product. We will tell you during discovery if a ready-made tool is the better choice.
Which AI models and providers do you work with?
We work with OpenAI, Anthropic Claude, Google Gemini and open-source models. We choose per use case based on quality, latency, cost and data-residency needs, and design the system so the model can be swapped later.
How long does it take to build an AI product?
A focused proof of concept often takes a few weeks and a first production release typically takes two to four months, depending on data readiness, integrations and compliance needs. We give a scoped timeline after discovery.
Who owns the code and the data?
You do. Code, prompts, evaluation sets and documentation are handed over. Your data is used only to deliver your project, and we can work with providers and settings that do not train on your data.
Have an AI idea or a workflow worth automating?
Book a free strategy call. We will review your use case, tell you what is realistic and outline a scoped first release.
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