opso9 · Opsonine

Data products
for the AI age.

We design and build precision data infrastructure that powers intelligent systems — from raw signal to structured knowledge.

Data sources
01 Signal quality
opso Entity
opso9 // data pipeline
$ opso9 ingest --source public.registry --region NRW
→ connecting to 6 upstream sources
→ normalising schema
→ classifying entities
→ scoring relevance
2 241 records committed · latency 1.2s
 
$ opso9 query --gewerk elektro --region Leverkusen
12 actionable signals · next 30 days

What we build

From public data
to competitive intelligence.

Data Collection

Precision ingestion

We source structured and unstructured data from public registries, open APIs, and document streams — reliably, at scale.

Normalisation

Schema-first design

Raw data becomes machine-readable knowledge through rigorous normalisation, entity resolution, and classification pipelines.

Intelligence

Signal over noise

Relevance scoring, temporal modelling, and early-warning systems surface the signal that matters — before anyone else sees it.

Delivery

Products that ship

APIs, digests, dashboards, alerts. Data products designed for consumption — not for data teams.

"The organisations that will lead the AI decade are not those with the largest models — they are those with the clearest data."

Our approach

Minimal surface.
Maximum fidelity.

Public-first

Open data, closed loop

We build exclusively on open and public data sources — licensed, legal, and reproducible. The edge is in the engineering, not the access.

Local-deep

Depth beats breadth

A narrow geographic or vertical focus, executed with rigour, outperforms a wide dataset built with compromise. We go deep where it matters.

AI-native

Structured for machines

Every data product is designed from the ground up to feed AI systems — typed schemas, consistent vocabularies, rich provenance metadata.