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Zeltar Ventures

01 · Intelligence · AI & Machine Learning

Make scientific knowledge easier to use.

Develop AI applications around approved data and clearly defined tasks. Build retrieval, document intelligence and analytical workflows with evaluation and expert review from the outset.

What we build

AI & Machine Learning for scientific and healthcare teams.

  1. Knowledge assistants and retrieval-augmented generation
  2. Scientific document extraction and classification
  3. Data preparation and model integration
  4. Task-specific evaluation and model monitoring

What you receive

  • Data and retrieval pipeline
  • Evaluation dataset and quality report
  • Integrated application with review controls

In practice

An application in context.

For controlled scientific document collections, we build retrieval with source references, test it against representative questions and make evidence gaps visible for reviewer follow-up.

Where we help

Where AI & Machine Learning starts.

  • Pharma
  • Biotech
  • Medtech

Find the approved procedure, with its source

Teams spend time locating the current version of a procedure and checking it is the approved one.

What we buildA knowledge assistant over approved SOPs and technical files that answers with references, respects document versions and flags missing evidence for review.

  • Biotech
  • Pharma

Triage scientific literature for expert review

Scientists cannot read everything that might matter to a programme.

What we buildClassification and summarisation of incoming publications against agreed criteria, each summary linked to its source for scientist review.

Start with one useful outcome.

Share the workflow, current systems and the outcome you need. We can then agree scope, responsibilities and a practical next step.

Discuss your project