Semantic search
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Service · AI integrations
Embeddings and semantic search without rewriting your stack.
We plug AI capabilities into existing systems. Semantic search, document analysis, automatic classification — all on-prem or in your VPC.
The problem
Your organization has years of documents, contracts, tickets, emails. Keyword search doesn't scale, and rewriting everything is unrealistic.
Our approach
We integrate embeddings, semantic search and AI analysis into your current stack. Your data never leaves the perimeter you control. Compliance by design.
Core capabilities
PII masking
Automatic anonymization of personal data before touching any external model.
Automatic classification
Tickets, contracts and emails categorized with your taxonomy.
Structured extraction
From PDFs and forms to JSON ready for your systems to consume.
On-prem / Air-gapped
Models in your infrastructure. Your data never leaves the perimeter.
Auditable compliance
Per-query logs, configurable retention and audit reports.
Stack we tend to use
- pgvector
- Qdrant
- Weaviate
- Llama 3.1
- ColBERT
- Presidio (PII)
- OpenTelemetry
Frequently asked
Do I need to upload my data to the cloud?
No. We deploy on-prem, in your private VPC or air-gapped according to your data policy.
How fast is the ROI?
For semantic search, users report shorter time-to-answer from the very first week.
How does it integrate with our current search?
We co-exist with Elastic, Solr or Algolia. Your classic search keeps keyword + ranking; we add the semantic layer.
Let's talk about your corpus
We tell you which use cases pay off, which don't and where to start.
06 — Contact
We start with a 45-minute technical session.
No endless form. Tell us briefly about the challenge and we will book a call. If it is not a fit, we say so.