AI App Development Company
From AI chatbots to agents that do real work, we build AI-powered products that are reliable enough to put in front of customers - not just impressive demos.
Large language models make it possible to build features that were not feasible a few years ago: assistants that answer questions from your own documents, agents that fill forms and update systems, and tools that summarise, classify and extract data at scale.
The hard part is not calling an AI API - it is making the result accurate, fast, affordable and safe. We design the retrieval, prompts, guardrails and evaluation around your use case, choose the right model for cost and quality, and wrap it in a product your users will actually trust.
What We Deliver
AI chatbots and assistants
Customer support and sales assistants trained on your own content.
RAG over your data
Search and question-answering over documents, knowledge bases and databases.
AI agents and automation
Agents that take actions in your tools, with human approval where it matters.
Document AI
Extract structured data from invoices, forms, contracts and PDFs.
AI features in existing apps
Add summarisation, recommendations or smart search to a product you already have.
Evaluation and guardrails
Test suites, monitoring and safety checks so quality does not drift.
Our Process
- 1
Use-case discovery
We identify where AI creates real value and how we will measure it.
- 2
Prototype
A quick working prototype on your real data to prove feasibility.
- 3
Productionise
Retrieval, guardrails, cost controls and a proper user interface.
- 4
Evaluate
Automated tests against real examples before every release.
- 5
Monitor and improve
Track quality, latency and cost after launch and keep improving.
Technologies We Use
Popular Integrations
Common integrations we build into ai app development projects.
AI & LLM Integration
OpenAI, Gemini and Claude features in your app.
Supabase
Postgres backend, auth, storage and vector search.
Firebase
Auth, database, push notifications and analytics.
WhatsApp Business API
Notifications, support and chatbots on WhatsApp.
Slack
Notifications, approvals and bots in Slack.
Zapier
Connect your product to thousands of apps.
Frequently Asked Questions
Which AI model should my app use?
It depends on the task, cost and data-privacy needs. We often combine models - a capable model for complex reasoning and a smaller, cheaper one for simple steps - and we benchmark options on your real data before choosing.
Can the AI answer questions from our own documents?
Yes. This is called retrieval-augmented generation (RAG). We index your documents so the model answers from your content and can cite its sources, which greatly reduces made-up answers.
Is our data safe when using AI APIs?
We use API tiers whose providers do not train on your data, keep sensitive data out of prompts where possible, and can deploy models in your own cloud account when compliance requires it.
How do you stop the AI from giving wrong answers?
Through grounding answers in your data, guardrails on inputs and outputs, and an evaluation suite of real questions that every release must pass. For high-stakes actions we keep a human in the loop.
How much does it cost to run an AI feature?
Running costs depend on usage and the model chosen. We estimate per-user costs during the prototype stage and design caching and model routing to keep them predictable.
Explore Our Other Services
MVP Development
Validate your idea fast with a launch-ready MVP built in as little as 15 days.
Learn moreMobile App Development
Android and iOS apps built cross-platform with React Native or Flutter.
Learn moreWeb App Development
Fast, SEO-friendly websites and custom web apps built with Next.js and React.
Learn moreSaaS Development
Multi-tenant SaaS with subscriptions, team accounts and integrations built in.
Learn morePlanning your budget? Read our app development cost guide.
Ready to build your product?
Tell us about your idea and get a clear plan, timeline and fixed quote. Your MVP could be live in as little as 15 days.