Data Foundations

The data layer your AI depends on.

We take your real-world data — documents, images, audio, video — and turn it into structured, validated ground truth. The kind your models can actually rely on.

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01.1

How We Build Ground Truth

Raw data in, structured ground truth out. Three stages, built for precision at scale.

Data ingestion
Stage 1

Ingestion

We ingest unstructured data across text, audio, image, and video — then deduplicate, normalise, and prepare it for structured extraction. The challenge isn't just volume. It's knowing what matters.

Annotation and parsing
Stage 2

Parsing & Extraction

We decompose documents into their meaningful components — every entity extracted, every relationship mapped. Automated and deterministic, not probabilistic.

Indexing and retrieval
Stage 3

Indexing & Retrieval

Structured data is embedded, indexed, and made retrievable — so your AI systems can access the right information at the right time. Built to scale with your data, not just ours.

01.2

Under the Hood

Retrieval

Custom indexing optimised for fast, accurate retrieval. We benchmark against every query pattern your system actually uses — not just synthetic benchmarks.

Scale

Horizontally-sharded architecture designed to grow with your dataset. Automatic load balancing, no manual re-indexing.

Compliance

GDPR compliant pipelines with full audit trails. We track every transformation, every annotation, every access.

Multi-Modal

Unified embedding across text, image, audio, and video — so your system can query across modalities, not just within them.

Next Step

Ready to build AI that actually works?

We work with a small number of teams at a time. If your AI needs to be reliable in production, let's talk.

System Status
In OperationSince 2018
InfrastructureSOC 2 Type II
PrivacyGDPR Compliant
RegisteredICO (UK)
All Systems Operational