Context Labs
Context Labs provides an industrial AI data infrastructure platform that cryptographically verifies data at the source and maintains a tamper-proof data fabric with full lineage and provenance. The platform ingests fragmented operational, enterprise, and external data, applies industry-specific ontologies, and enables enterprises to run sovereign AI models on their own verified data. Deployed with customers representing over one third of the US natural gas energy supply chain, the platform supports use cases spanning operations, compliance, and emissions intelligence.
- Artificial Intelligence
- Enterprise Software
- AI Agents
- Data & Analytics
- Software Only
Funding
Raised to date
$28MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 2 rounds
2XBEEVIX+2Not disclosed · Strategic
Announced Nov 2026 · from article date
Disclosed cumulative: $28M
Founders
Founder details are not available yet.
Product
Problem
Industrial organizations face a lack of trust in their data due to exponential growth of untrusted information from internal and external sources, siloed and unreliable data systems, and poor data quality that blocks effective decision-making. Bad data costs U.S. businesses $3.1 trillion annually and creates intangible costs like disinformation and lack of trust that hinder progress on complex problems.
Solution
Context Labs delivers an enterprise data fabric platform, Immutably™, that ingests data from any source—including satellite images, sensor suites, enterprise systems of record, and handwritten reports—and cryptographically verifies it at the source. The platform maintains a tamper-proof data fabric with full lineage and provenance, so every AI model, agent, and decision can be traced back to verified data. A library of industry-specific ontologies gives data context in the language of each sector, from energy and chemicals to mining, logistics, and financial services. The Context Labs AI Distillery™ extends this infrastructure into the enterprise, enabling organizations to run frontier and open-weight AI models and semantic context agents inside their own data centers on their own verified data with full decision provenance.
Target Audience
Primary customers are large industrial enterprises in energy, chemicals, infrastructure, and mining & metals sectors, including organizations representing over one third of the US natural gas energy supply chain, as well as sovereign entities and national champions in the MENA region seeking trusted AI data infrastructure.
Features
- Immutably™ data fabric platform with open API architecture that ingests any data source, from satellite imagery to sensor suites to PDFs of handwritten reports
- Cryptographic verification at the source with tamper-proof data fabric maintaining full lineage and provenance for every data point
- Library of industry-specific ontologies covering energy, chemicals, mining, commodities trading, logistics, utilities, pharmaceuticals, and financial services
- Context Labs AI Distillery™ for running frontier and open-weight AI models and semantic context agents inside enterprise data centers
- Use-case applications built on a common foundation spanning operations, compliance, emissions intelligence, and AI-enabled decision-making
- Cross-industry scalability enabling deployment across energy, chemicals, infrastructure, and mining & metals sectors