AI
We don't build models. We make yours work — integrating OpenAI, Anthropic, and others into the products and workflows your business already runs.
Start a projectMost businesses don't need a custom AI model — they need the right model wired into the right place. We figure out where AI actually adds value in your workflow, integrate it properly, and build the tooling around it so your team can use it without a manual.
LLM Integration
OpenAI, Anthropic, Mistral, and others — integrated into your product or internal tools. Chat interfaces, document processing, content generation, code assistants.
Workflow Automation
Replace manual, repetitive work with AI-powered pipelines. From data extraction to automated reporting — we build it around how your team actually works.
RAG & Custom Pipelines
Retrieval-augmented generation for businesses that need AI to work with their own data — documents, databases, knowledge bases — not just generic answers.
Working integration
Not a proof of concept — a production-ready integration your team can actually use. Tested, documented, and deployed.
Cost controls
AI APIs can get expensive fast. We build in usage tracking, rate limiting, and cost monitoring so you don't get a surprise bill.
Fallback handling
Models fail, APIs go down, responses are sometimes wrong. We build proper error handling and fallbacks so your product doesn't break when AI does.
Prompt engineering
Getting good results from LLMs is a skill. We handle the prompt design, testing, and iteration so you get consistent, useful outputs.
- →Startups that want to add AI features to an existing product
- →Non-tech businesses with repetitive manual workflows that could be automated
- →Teams that want to build internal AI tools without hiring an ML engineer
- →Companies with large document libraries that need to be searchable and queryable
- ×Projects that need custom model training from scratch (we integrate, we don't train)
- ×Use cases that require real-time inference at massive scale (talk to us first)
- ×Teams that want AI for the sake of AI with no clear problem to solve
Do we need a lot of data to get started with AI?
Not necessarily. Most integrations we do use existing models (OpenAI, Anthropic) that don't require your own training data. RAG pipelines can work with as little as a few hundred documents. We'll tell you upfront if your use case needs more.
How do we know if AI will actually help our business?
Honestly, sometimes it won't — and we'll tell you that. We start every AI engagement with a scoping call to figure out where AI adds real value versus where it's just a buzzword. If it doesn't make sense, we'll say so.
What about data privacy? We can't send customer data to OpenAI.
Valid concern. We can work with self-hosted open-source models (Llama, Mistral) for sensitive data, or use Azure OpenAI which has enterprise data privacy agreements. There's always a path that keeps your data yours.
Discovery
We audit your current state, understand your goals, and identify the highest-leverage opportunities.
Execution
Senior engineers and strategists do the work — no outsourcing, no juniors on critical paths.
Handoff
Full documentation, knowledge transfer, and ongoing support. You own everything we build.
Start a AI project.
Tell us what you're building and we'll get back to you within 24 hours.