AI Solutions

AI wired into your actual systems, measured on hours it saves.

Chatbots, RAG, automation and local-LLM integrations that actually add value.

Start a project 4–10 weeks depending on scope

What this actually involves

Most AI projects fail for an unglamorous reason: they are built as demos. A demo answers questions about a PDF. A product answers questions about your data, inside your workflow, and tells the user when it does not know. The gap between those two is where the engineering lives.

We start by auditing where you actually lose time, then build the smallest thing that removes it. If the honest answer is that a well-placed script or a better form would solve your problem for a tenth of the cost, that is what we will recommend.

Core strengths

  • RAG & chatbots
  • LLM integrations
  • Automation
  • Local & private AI
Discuss your project
What's included

Everything in the quote, written down

01

Use-case audit

Where AI genuinely saves time in your business — and where it would just add risk.

02

RAG knowledge base

Answers grounded in your own documents and data, with citations back to the source.

03

Chat & assistants

Support and internal assistants connected to your real systems, not a sandbox.

04

Workflow automation

Document processing, extraction and routing that removes repetitive manual steps.

05

Evaluation & guardrails

Test sets, accuracy measurement and clear limits on what the system is allowed to do.

06

Private deployment

Local or self-hosted models where your data cannot leave your own infrastructure.

How it runs

Four steps, no surprises

Week 1

Discover

We learn your business, goals and users before writing a single line of code.

Week 2–3

Design

We craft the experience and interface — reviewed with you at every step.

Week 4–8

Build

We engineer it properly: clean code, real testing, production-grade quality.

Week 9+

Launch

We ship, measure and keep improving so your product keeps growing.

What we build it with

Chosen for your problem, not for our CV.

Claude APIOpenAIRAG pipelinespgvectorPythonNode.jsLocal LLMsEvaluation harnesses
Questions

The ones people actually ask

Will our data be used to train someone else's model?
Not on the business API tiers we build on — those do not train on customer data by default, and we configure retention explicitly. If your data cannot leave your infrastructure at all, we build with local models instead.
Can it run on our own servers?
Yes. For sensitive data we deploy open-weight models on hardware you control. Quality is lower than the frontier APIs for hard reasoning, but for retrieval, classification and extraction it is usually more than good enough.
How accurate is it, really?
That depends on the task, which is why we build an evaluation set from your real cases before going live and report measured numbers rather than impressions. We also design for the system to say “I don’t know” instead of guessing, because a confident wrong answer costs more than no answer.
What does it cost to run each month?
We estimate running costs during the audit, based on your actual volumes, and design around them — caching, smaller models for easy steps, and batching. You see the number before we build, not after.

Other things we do

All services
Web DevelopmentFast, scalable websites and web apps built with React, Next.js and modern stacks.
Mobile AppsCross-platform iOS & Android apps with React Native — one codebase, native feel.
UI/UX DesignClean, conversion-focused interfaces designed around your users and your brand.
Digital MarketingSEO, social and paid campaigns that bring the right people to your business.
Branding & GrowthLogos, identity and growth strategy to make your brand impossible to ignore.
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Ready to start your project?

Tell us what you're building. We'll get back within 24 hours with ideas and a clear next step.

Let's Talk