Domain-specific classifiers
Trained on your taxonomy: products, tickets, contracts, claims, leads. Higher precision than a generic LLM, lower cost per call.
When the off-the-shelf assistant doesn't know your domain, your taxonomy or your customers, we build the model that does. Classifiers, extractors, scoring and retrieval — tuned to your data and run where you need it.
Off-the-shelf tools cover the easy 70%. The remaining 30% — where your real differentiation lives — needs models trained on your data, evaluated on your cases and run on infrastructure you trust.
We build that 30%. Sometimes it’s a fine-tuned classifier; sometimes it’s a retrieval system that respects permissions; sometimes it’s a small open-weights model running on your own servers. We pick what fits — not what looks impressive in a deck.
Trained on your taxonomy: products, tickets, contracts, claims, leads. Higher precision than a generic LLM, lower cost per call.
Forms, contracts, technical specs, multi-page reports. Structured output ready for the database, with confidence scores per field.
Lead quality, churn risk, claim severity, demand forecasting — calibrated on your history, with the reasoning exposed.
Your documents, your permissions, your hosting. Retrieval that respects access rights and freshness, not a generic vector dump.
When prompting hits its ceiling: fine-tune an open-weights model on your tone, jargon and edge cases. Run it on private infrastructure.
Test sets built from your real cases. Regression checks on every change. Quality you can show the auditor, not just the user.
We pin down the inputs, the outputs, the accuracy threshold that matters and the cost ceiling that has to hold.
From your historical data, with the team that knows the domain. Labeling protocol, gold set, blind eval set — the unglamorous work that makes models work.
Prompting, classical ML, embedding similarity, fine-tuning — chosen for the problem, not the trend. The simplest option that hits target wins.
Drift monitoring, quality dashboards, retraining cadence. A model in production is not a model finished — it's a model that needs a home.
Repetitive back-office workflows running unattended, with audit logs and human review.
Read more →Conversational, multi-step assistants for support, sales and internal knowledge.
Read more →Connecting AI to Salesforce, HubSpot, SAP, Holded, Odoo and the rest of your stack.
Read more →Independent senior-engineer audit of code built with Cursor, v0, Lovable, Copilot or any AI tool.
Read more →We design for privacy from the start, human control, traceability, usage limits, permissioning and documentation. For sensitive processes, we help assess risk and applicable obligations under GDPR and the EU AI Act.
Every engagement is led personally by one of the partners. If there's a fit, you get a personal first read of your case within one business day — not a canned demo.