Data that doesn't exist.
Until we build it.

We discover, cross-reference and infer signals from fragmented real-world sources to build reliable, high-value data products for industry, AI, robotics and advanced analytics.

Signals others miss

We look beyond obvious datasets to identify useful information hidden across fragmented sources, physical systems and real-world observations.

Built, not merely collected

When the required information does not exist explicitly, we construct it by resolving entities, connecting sources and deriving new variables.

Traceable by design

Products are designed around provenance, confidence, freshness, quality controls and clear separation between observed, derived and inferred information.

AI-native & future-ready

Datasets, feeds and APIs are prepared for modern AI and technical teams, with graph and optimization-ready representations available when technically appropriate.

Custom intelligence

If the data you need does not exist, we investigate whether it can be built.

NKO Data Labs works market-first and problem-first: buyer need, real-world problem, source availability, legal usability, inference quality and commercial value determine what we build.

Designed for technical teams.

Structured and unstructured data · API-ready delivery · Knowledge graphs · entity resolution · temporal and geospatial intelligence · provenance · confidence scoring · edge-case and reality intelligence.

Full repository, API access and product documentation are currently in development.

Buyer Support & Contact

Product questions, buyer support or custom data requests?

NKO Data Labs provides direct support for prospective and existing customers, including product information, marketplace assistance, data delivery questions and custom data requirements.

contact@nkodatalabs.com

Legal company

NKO LLC
Operator of NKO Data Labs

8 The Green, STE 4000
Dover, Delaware 19901
United States

Buyer & technical support:
contact@nkodatalabs.com

Support requests are normally answered within one business day.

Data that doesn't exist. Until we build it.