We embed AI into your existing CRM, ERP, SaaS and legacy systems — copilots, RAG knowledge tools and secure workflow automation — so you get real efficiency without ripping out what works or risking your data.
The gap is rarely the model — it's integration. Generic AI tools don't know your data, don't connect to your software, and raise real questions about security and accuracy.
Off-the-shelf AI can't see your CRM, documents or operational data, so its answers are generic and its automation can't act on anything real.
Without grounding in your approved sources, models invent plausible-sounding answers — unacceptable in regulated or high-stakes work.
Pasting sensitive data into consumer AI tools is a compliance problem most businesses can't take on without proper controls.
Impressive demos that stall because no one built the integration, monitoring and rollout needed to run them in production.
Three capabilities, all integrated into your existing stack and built with security and accuracy as first-order constraints.
In-context AI assistants embedded in the tools your team already uses, grounded in your data.
Retrieval-augmented systems that answer from your approved documents — with sources, not guesses.
AI-driven automation that routes, classifies and processes work across your systems, with humans in the loop.
The engineering around the model is what turns a demo into something you can actually run.
API-first connections into CRM, ERP, SaaS and legacy systems so AI can read and act on real data.
RAG over your approved sources so outputs are accurate, explainable and traceable to a document.
Open models deployed in your environment or EU regions when data sensitivity demands it.
Review and approval steps designed in, so AI assists decisions rather than making them unchecked.
Logging, evaluation and quality tracking so you can see how the AI performs over time.
Model-agnostic architecture so you can swap or upgrade models as the landscape changes.
A structured path that de-risks AI — proving value on a focused use case before scaling, with your data protected throughout.
We map your workflows, data and systems to find where AI delivers measurable value — and produce a written readiness report before any build.
Once the audit is complete, our engineers design a scalable AI architecture tailored to your existing software environment. We do not build generic solutions; every architecture is mapped to your specific tools and workflows.
We build a working pilot on one high-value use case so you can validate accuracy and ROI before scaling.
We connect the validated solution into your live systems with monitoring, controls and human-in-the-loop review.
We monitor real-world performance, refine prompts and retrieval, and expand to further use cases.
We choose models and tools per use case — balancing accuracy, cost, latency and data-residency needs.
High-value starting points we're regularly asked to build.
Extracting, classifying and summarising documents — invoices, contracts, forms — at a fraction of the manual time.
RAG assistants that let staff get cited answers from policies, manuals and past work in seconds.
Assistants that draft responses and surface the right information, grounded in your approved content.
Routing, triage and data entry automated across your systems, with humans approving the outcomes.
We're a software engineering company first — so our AI work is about integration, reliability and compliance, not hype.
Integration is our core skill. We connect AI to your real systems and data, which is where almost all the value — and difficulty — lives.
GDPR-aligned and self-host capable. We can keep your data in EU regions or fully self-hosted models when sensitivity demands it.
Accuracy by design. Grounding, citations and human-in-the-loop review so outputs are trustworthy and explainable.
Honest about fit. If AI isn't the right answer for a problem, we'll tell you — and propose what is.
Yes. We can deploy open models self-hosted in your own environment, or use enterprise APIs with EU data residency and no-training guarantees — so sensitive data stays controlled and GDPR-aligned.
We ground responses in your approved sources using retrieval (RAG), return citations, and design human-in-the-loop review for high-stakes outputs. The AI assists; your team stays accountable.
That's the point. We integrate AI into your CRM, ERP, SaaS and legacy systems through APIs and controlled layers, rather than asking your team to adopt yet another disconnected tool.
We begin with a readiness assessment and a focused pilot on one high-value use case. You validate accuracy and ROI before committing to a wider rollout.
A focused pilot typically starts around €8,000–€20,000; production rollouts scale from there. Discovery produces a fixed-price proposal before any build begins.
Start with a free readiness assessment. We'll find the highest-value opportunity — and tell you honestly if now isn't the time.