From messy data to models that know your business.
We turn multi-format enterprise data into clean, model-ready assets — then fine-tune, evaluate and continuously train the models that run on them.
Six stages. One accountable team.
Data quality decides AI quality. We own the full path, so nothing gets lost between teams.
Ingest
PDFs, scans, emails, logs, tables and media from every source.
Clean & label
Deduplicate, normalise, annotate with experts in the loop.
Structure & embed
Schemas, knowledge graphs and vector indexes.
Fine-tune
Adapt foundation models to your domain and tasks.
Evaluate
Benchmarks built from your real cases and edge cases.
Improve
Continuous training from production feedback.
Everything between your raw data and a reliable model.
Document AI
High-accuracy extraction from contracts, forms, invoices and scanned documents in many languages.
Data pipelines
Reliable, governed pipelines from source systems to lakehouse, feature store and vector index.
RAG-ready knowledge bases
Chunking, metadata and hybrid retrieval tuned for accuracy and source citations.
Fine-tuning & distillation
LoRA and full fine-tuning, plus distillation into smaller, cheaper models for high-volume tasks.
Evaluation harnesses
Task-specific test suites, LLM-as-judge with human calibration, and regression gates.
Synthetic data & labelling
Expert-reviewed synthetic data to cover rare cases and protect sensitive records.
Fine-tune, retrieve or both?
Not every problem needs a custom model. We start with the cheapest approach that meets your quality bar, and only fine-tune where it pays off.
- Retrieval when knowledge changes often and answers must cite sources
- Fine-tuning when tone, format or domain reasoning must be consistent
- Distillation when volumes are high and latency or cost dominate
- Evaluation first — every option is measured on your own test set
Visual QA agents cut defect escape by 42% for an electronics manufacturer
Custom-trained vision models deployed at the edge catch defects that manual inspection missed.
Turn your data into an advantage.
Tell us where you're stuck. We'll come back within 24 hours with a clear path forward — strategy session, prototype, talent or full build.