Artificial Intelligence
Practical AI systems that actually ship - LLM apps, RAG pipelines, and assistants grounded in your data.
AI products live or die on the unglamorous parts: clean data, solid pipelines, careful evaluation, and interfaces people trust. We build AI products and features end-to-end - from LLM-powered apps and retrieval (RAG) systems to private assistants that answer from your own documents - with the engineering discipline that keeps them accurate, fast, and affordable to run in production.
Whether you're an AI startup building your core product or an established business adding intelligence to an existing system, we handle model integration, prompt and pipeline design, data preparation, and the web application around it - as one team.
LLM apps, RAG pipelines, and AI assistants running in production
Your data stays private - self-hosted models or tightly scoped API use
Evaluation and guardrails built in, not just impressive demos
Full-stack delivery: the model and the product around it
What We Build
LLM Application Development
Products built on state-of-the-art models - chat, generation, summarization - wrapped in a fast, reliable interface.
RAG & Knowledge Assistants
Assistants that answer from your documents and databases with citations - not hallucinations.
AI Workflow Automation
Pipelines that classify, extract, and route information so your team stops doing it by hand.
Data Preparation & Pipelines
The collection, cleaning, and structuring that quietly decides whether AI output is any good.
Model Integration & APIs
Model providers, embeddings, and vector stores wired cleanly into your existing stack.
Evaluation & Guardrails
Testing, monitoring, and fallbacks so answer quality doesn't drift after launch.
How We Help You Transform
Get past the demo stage
Plenty of AI pilots impress in a meeting and die in production. We build with evaluation, monitoring, and cost control from the start, so the prototype becomes a product.
Ship features users trust
Grounded answers, visible sources, and graceful failure modes turn AI from a novelty into something your users rely on daily.
Keep running costs predictable
Model choice, caching, and prompt design have a huge impact on your bill. We tune all three so costs scale sensibly with usage.
Use your data without exposing it
Private deployments, scoped API usage, and clear data boundaries mean your company's knowledge powers the AI without leaking outside it.
Have a process AI could take off your team's plate?
Explore AI With UsRelevant Services
The services AI-focused teams use most with us:
Frequently Asked Questions
Which AI models do you work with?
We work with the leading commercial models and open-source alternatives, and we'll recommend the best fit for your accuracy, privacy, and budget requirements - often a combination.
Will our data be used to train public models?
No. We architect around providers' no-training guarantees or deploy models privately, and we put the boundaries in writing so you know exactly where data flows.
Can you add AI to our existing app?
Yes - most of our AI work is integrating assistants, search, or automation into products that already exist.
How do you keep AI answers accurate?
Retrieval grounding, curated data, automated evaluation suites, and human review loops - accuracy is an engineering process, not a hope.