What we build

AI that fits your business, not the other way around.

From a focused assistant to a complete platform, every build starts from a real process and a measurable goal.

RAG & knowledge

AI assistants on your own data

Chat and search over your documents, intranet, tickets or product catalogue, with answers that cite their sources. Retrieval-augmented generation (RAG) keeps the model grounded in your knowledge, not the open internet.

Agents

AI agents & workflow automation

Agents that read, decide and act across your tools: triage emails and tickets, update the CRM, prepare quotes, follow up. Humans stay in the loop wherever it matters.

Apps

Web & mobile apps with AI inside

Complete products for iOS, Android and the web, designed, developed and deployed by one senior team, with AI built in from day one rather than bolted on.

Documents

Document intelligence

Extract, classify and check data from PDFs, invoices, contracts, forms and scans, then push it straight into your systems.

Integrations

LLM integrations & APIs

Connect language models to your existing CRM, ERP, helpdesk or databases through secure APIs, so AI works inside the tools your teams already use.

Voice

Voice & conversational AI

Voice bots, call summaries and real-time assistance, built on the same technology as our Savvy Suite and tailored to your processes.

Use cases

Where custom AI pays off.

A few examples of what we build for teams across industries.

Customer service

Answer 24/7 with an assistant trained on your help center, and hand complex cases to agents with full context.

Sales

Qualify leads, draft personalised proposals and keep the CRM up to date automatically.

Operations

Turn incoming documents and emails into structured data and automated workflows.

HR & internal knowledge

Give every employee instant answers on policies, procedures and internal tools.

Finance

Speed up invoice processing, reconciliation and reporting with AI checks you can audit.

Events & venues

Smart ticketing, visitor assistants and exhibitor tools built around your event.

How we work

From idea to production, in three steps.

1

Scope

A workshop to map the process, the data and the success metric. You get a clear plan and an honest view of what AI can and cannot do.

2

Prototype

A working prototype on your real data, tested by your users. We measure, adjust and decide together whether to go further.

3

Ship & hand over

Production deployment with security, monitoring and documentation, then training so your team can own the system.

LLM & RAGAI agentsiOS & AndroidWeb appsAPI integrationsOpen-source modelsPrivate hosting
Customer references

Projects we delivered

Client testimonial coming soon.

Name, role — Company
FAQ

Questions we often hear.

How fast can we get a first result?

We work in short cycles: after a scoping workshop we aim to put a working prototype in your hands within weeks, then iterate with your users before going to production.

Is our data safe?

Your data is only used for your project. We design for privacy from the start: access control, encryption, and the hosting that fits your constraints, including private or European hosting and open-source models running on your own servers.

Which AI models do you use?

We are model-agnostic. We choose between commercial models (such as GPT, Claude or Gemini) and open-source models (such as Llama or Mistral) depending on quality, cost, latency and data-privacy needs, and we can switch later.

Can you integrate with our existing systems?

Yes. Most of our projects connect AI to existing tools: CRM, ERP, helpdesk, databases, intranets and internal APIs.

Who maintains the application after launch?

We can run and improve it for you, or hand it over: we document everything and train your team so they can own and extend the system.

Let's build something together

Share your vision and we'll show you how to turn it into a production-ready AI application.

Discuss your build