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// ai solutions

AI That Ships to
Production.

We build LLM-powered features, automation systems, and document intelligence — with the same engineering rigour we apply to every product we ship. No demos that don't scale. No magic boxes you can't maintain.

Discuss Your AI Project

// what we build

Four things we actually ship

Customer & Internal Chatbots

Intelligent assistants trained on your product, documentation, or internal knowledge. Built with guardrails, structured fallbacks, and human escalation paths — so they work reliably, not just impressively.

Workflow Automation

LLM-powered routing, approval chains, and task orchestration that replaces hours of repetitive manual work. We identify the highest-leverage process to automate and ship it — no bloated RPA platforms.

Document Intelligence

Invoice reconciliation, data extraction, contract analysis, and structured output from unstructured documents. Feed it a PDF or email thread — get clean, actionable data out the other side.

Private & On-Premise AI

For clients with strict data requirements: self-hosted models via Ollama or Mistral that never touch an external API. Full AI capability, zero data exposure. Deployable inside your own infrastructure.

// model stack

Models we work with

We're model-agnostic. We pick the right tool for the job — not the one with the best marketing.

Claude

Anthropic

Long-context reasoning, analysis, and safe production deployments

GPT-4o

OpenAI

Multimodal tasks, broad capability, and well-tested integrations

Mistral

Mistral AI

Efficient open-weight models for EU compliance and cost-sensitive workloads

Ollama

Self-hosted

Air-gapped deployments and clients with strict data sovereignty requirements

// our approach

From idea to production

01

Scoping

We identify exactly where AI creates real value versus where it adds complexity. Most projects start with one well-scoped problem, not a platform.

02

Prototype

A working proof in days. We pick the right model, build the integration, and get it in front of real inputs before any production work begins.

03

Evaluate

We test outputs rigorously — accuracy, edge cases, failure modes. AI in production behaves differently from demos. We close that gap before launch.

04

Deploy

Ship with monitoring, fallbacks, and human override built in. We don't hand over a model. We hand over a system you can trust and maintain.

// is ai right for you?

Green flags we look for

You have repetitive document or data processing eating team time

Your team answers the same questions hundreds of times a week

You have structured inputs but slow, messy, manual outputs

You need to scale operations without scaling headcount proportionally

You're paying for data you can't extract or act on fast enough

// let's talk

Have an AI problem worth solving?

Tell us what you're dealing with. We'll tell you honestly whether AI is the right tool — and what it would take to build it.

Start the conversation