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AI development and integration
We add AI to real workflows — document extraction, knowledge search, classification, drafting — with evaluation, permissions and human review designed in.
invoice-DN2240.pdf
Extracted fields
1 field needs reviewThe problem
A demo works on five examples. Production needs to work on five thousand, respect permissions, cost a predictable amount and fail safely. We focus on the data pipeline, evaluation and guardrails that make AI dependable.
Sound familiar?
What we build
Extract structured fields from invoices, forms and contracts, with confidence scores and review queues.
Retrieval-augmented search across your documents that answers with citations.
Sort emails, tickets or requests and route them to the right team.
Summaries, drafting and smart suggestions added to an existing application.
Key capabilities
Technology
We choose technology for your constraints and team, not the other way round.
Delivery process
We define exactly what the AI should do and what a correct output looks like.
Real examples are collected and labelled so quality can be measured, not guessed.
Pipelines are improved against the evaluation set until they meet the agreed bar.
Monitoring, review queues and fallbacks go live with the feature.
FAQ
We choose per task, based on quality on your evaluation set, cost, latency and data-processing terms. The architecture lets us switch models later.
Describe the task, the inputs and who checks the output today. We'll give you an honest assessment.