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Custom AI & GenAI Solutions

AI that shines in production, not just in demos

We develop custom AI and GenAI solutions including AI copilots, autonomous agents, and RAG systems powered by GPT, Gemini, Claude, Llama, and Mistral. We apply model fine-tuning, prompt engineering, and model validation to keep outputs accurate and infrastructure costs predictable.

Where this usually goes wrong

The patterns we see most often before an engagement begins.

Generic models, specific business

Off-the-shelf assistants do not know your products, policies, or terminology.

Answers nobody can trust

Without retrieval, grounding, and evaluation, models invent detail that should never reach a customer.

Unpredictable cost

Token spend grows quietly unless routing, caching, and context limits are engineered.

How we deliver

Four stages, each with something you can review before the next one starts.

01

Frame

We define what a correct answer looks like for your business before writing a single prompt.

02

Ground

Retrieval, tools, and permissions are designed so the model sees only what this task requires.

03

Build

We implement the copilot or agent with evaluations running from the first iteration.

04

Harden

Routing, caching, guardrails, and monitoring keep quality and cost stable in production.

What's included

AI copilots and autonomous agents
Retrieval-Augmented Generation (RAG) systems
LLM fine-tuning and prompt engineering
Model validation and testing
Machine learning and deep learning
NLP, computer vision, and process automation

Outcomes

Production AI copilots and autonomous agents
RAG systems grounded in your own content and systems
Custom evaluations benchmarked against your quality standards
Model routing and context strategy that keeps cost predictable

How you can work with us

Three ways to engage, so the shape of the work matches who owns delivery.

Build to production

We deliver the copilot, agent, or RAG system end to end: architecture, evaluation, deployment, and handover to your team.

Best fit

Best when you need the system live and owned.

Co-build with your team

Our engineers work inside your repository and process, with your team picking up the pattern as each piece lands.

Best fit

Best when you want the capability to stay in-house.

Model and evaluation review

A focused review of an existing AI feature: what is limiting quality, what it costs per task, and what to change first.

Best fit

Best when something is already live and underperforming.

Platforms and tools

What we build on

The platforms and frameworks we work with most often. We select on your constraints and existing contracts, not on a preference of ours.

OpenAI GPTAnthropic ClaudeGoogle GeminiMeta LlamaMistralPineconeWeaviatepgvectorLangGraphAzure AI Search

Frequently asked questions

Ready to talk about custom ai & genai solutions?

Tell us where you are today and what you need to reach production. We will tell you plainly whether we are the right partner for it.