AI features
Models wired into a product properly — cost controls, evaluation, and a fallback for when it is wrong.
20 services, from €1,500. Each one is a fixed piece of work — ask for a quote without an account.
Token budget and caching layer for your AI feature
Cut your model spend with caching, routing and per-user budgets, without changing what your users experience.
Harden your LLM feature against prompt injection
Close the gaps that let a crafted input make your agent leak data, call the wrong tool or ignore its instructions.
MCP server so agents can use your internal tools
Expose your internal APIs to coding and support agents safely, with scoped permissions and a full audit trail.
Streaming chat UI with tool calls and real error states
The front end your AI feature deserves: token streaming, cancellation, retries and messages that survive a refresh.
Evaluation harness so prompt changes stop regressing
A test suite for your AI feature that runs in CI and tells you when a prompt or model change makes things worse.
Make your RAG bot stop inventing answers
Diagnose why retrieval misses, then fix chunking, reranking and prompting until answers are grounded and citable.
Moderation for user-generated text and images
Automatic screening of uploads and posts with tunable thresholds, an appeals path and a queue for the grey area.
Meeting transcription with searchable summaries
Calls transcribed with speaker labels, summarised into decisions and actions, and searchable across every past meeting.
Replace keyword search with semantic search
Search that understands intent, with hybrid ranking so exact matches still win when users type an exact term.
Agent that triages support before you wake up
Incoming tickets classified, tagged, prioritised and drafted overnight so your morning starts with replies to approve.
Turn messy documents into structured data
Contracts, CVs or reports converted into validated JSON you can query, with a review queue for low-confidence fields.
RAG chatbot trained on your documentation
A support assistant that answers from your docs, cites its sources and says it does not know when it does not.
In-app copilot that walks new users through setup
A contextual assistant that knows the user's account state and can complete setup steps for them, not just explain them.
Recommendation engine built on embeddings, not rules
Replace hand-written if-statements with similarity and behaviour signals, measured against your current click-through.
Natural-language questions over your product data
Let your team ask questions in plain English and get charts backed by governed, read-only SQL they can inspect.
Contract comparison that flags what changed and why
Upload two versions of an agreement and get a clause-level diff with risk commentary your legal team can act on.
Fine-tuned small model to cut your inference bill
Move a high-volume, narrow task off a frontier model onto a tuned small model at a fraction of the cost per call.
Multi-agent workflow with human checkpoints
A durable pipeline where specialised agents research, draft and review, pausing for your approval at the steps that matter.
Private LLM deployment for data you cannot send out
An open-weight model running in your own environment, benchmarked on your tasks and sized to your real throughput.
Voice agent that handles routine inbound calls
A phone agent that answers, qualifies and books, then hands to a human the moment the conversation leaves its script.