One API key provides access to SEC filings, federal spending, economic indicators, recalls, lobbying records, UK company data and U.S. case law through REST APIs and MCP. Data.co Control enables enterprises to operate private AI within their own infrastructure.

Seattle, Washington, United States, November 12, 2026 -- Data.co today announced the launch of its enterprise data and artificial intelligence platform, combining private AI infrastructure, enterprise governance and a unified marketplace of public and licensed datasets.

The platform launches with three core offerings: Data.co Control, which enables organizations to deploy and govern AI within their own infrastructure; the Data.co Marketplace, featuring 91 datasets from 25 providers; and app.data.co, a centralized interface for accessing datasets through a query console, REST API or Model Context Protocol (MCP) server for AI agents.

The platform is designed to address two significant challenges facing enterprise AI adoption: maintaining control over sensitive organizational data and simplifying access to reliable external information.

"Companies are moving quickly to implement AI, but they're running into two fundamental problems: they don't want sensitive data leaving their infrastructure, and they need better access to trusted external data to make their AI systems useful," said Nate Nead, CEO of Data.co. "We're addressing both problems with one platform. Data.co Control gives enterprises ownership over where and how their AI operates, while our marketplace provides a single access point to the data that powers intelligent applications and autonomous agents. We believe these capabilities increasingly need to work together."

Data.co Control: Private AI Infrastructure With Enterprise Governance

Data.co Control enables regulated organizations and enterprises to connect internal data sources, operate private language models and govern AI activity without requiring sensitive information to leave their environments.

The platform supports on-premises, private cloud, hybrid and fully air-gapped deployments.

Core capabilities include:

• Customer-local runtime: Access decisions, sensitive processing and model inference operate within the customer's infrastructure. A separate hosted account plane handles licensing, accounts and billing without requiring continuous connectivity for local enforcement.
• Private LLM infrastructure: Support for vLLM on dedicated GPU infrastructure and Ollama for smaller deployments, accessed through a unified OpenAI-compatible gateway.
• Deterministic policy enforcement: Identity-based controls govern which users, service accounts, models and AI agents can access specific data and execute designated operations. Policy decisions are handled by a deterministic engine rather than delegated to a language model.
• Permission-aware connectors and private RAG: Internal connectors inherit existing source permissions to prevent AI applications from retrieving information beyond an authorized user's access.
• AI agent governance: Tool calls executed by AI agents are identified, scoped, monitored and logged.
• Enterprise auditability: Requests, policy decisions, approvals and administrative actions generate exportable audit records to support security reviews and compliance requirements.

Data.co Control is designed for organizations in financial services, healthcare, legal services, manufacturing and other industries where data privacy, infrastructure ownership and regulatory oversight are primary considerations.

Data.co Marketplace: One API Key Across 91 Datasets

Through the Data.co Marketplace customers can access datasets using a browser-based query console, a REST API or MCP integrations designed specifically for AI-powered applications and autonomous agents.

"Accessing external data at scale has traditionally meant negotiating with multiple providers, building separate integrations, managing different authentication methods and maintaining pipelines as APIs change," said Timothy Carter, Chief Revenue Officer of Data.co. "We're simplifying that process by creating a unified access layer. Our goal is to make enterprise-grade data consumption substantially easier for software developers, analytics teams and businesses deploying AI agents. Instead of building twenty different connections, customers can work through one platform and focus on what they actually want to accomplish with the data."

The marketplace includes a unified query console for exploring datasets and viewing structured results, a versioned REST API at api.data.co/v1 with organization-scoped authentication and usage metering, and an MCP server that enables AI agents to discover and query datasets through standardized tools.

Each record returned by the platform includes source attribution, applicable licensing information and retrieval timestamps, providing transparency into the origins of the data. The platform also supports legal research through LAW.co, including access to U.S. court opinions, AI-generated case summaries and citation relationships.

Data.co manages upstream provider connections through standardized connector contracts that enforce query validation, rate limits, caching policies and applicable licensing restrictions.

Launch Catalog Spans Financial, Economic, Government, Healthcare and Legal Data

At launch, the Data.co Marketplace includes 91 datasets from 25 providers across six primary categories.

• Companies and Financial Data: Integrations with SEC EDGAR, FDIC BankFind, GLEIF, UK Companies House, the Commodity Futures Trading Commission (CFTC) and the Consumer Financial Protection Bureau (CFPB) provide access to corporate filings, XBRL financial statements, banking institutions and branches, global legal entity identifiers, UK company records, futures positioning and consumer complaint information.
• Economic Indicators: Data from the Bureau of Labor Statistics (BLS), Bureau of Economic Analysis (BEA), Energy Information Administration (EIA), Federal Reserve Board, U.S. Treasury, World Bank and U.S. Census Bureau covers inflation, employment, wages, GDP, energy markets, interest rates, government debt, international development indicators and demographic trends.
• Government and Political Data: Sources including USAspending, the Federal Register, Federal Election Commission (FEC) and Senate lobbying disclosures provide access to federal contracts, grants, regulatory notices, campaign finance records and lobbying activity.
• Safety, Healthcare and Environmental Data: Integrations with openFDA, CMS NPPES, the Consumer Product Safety Commission (CPSC), National Highway Traffic Safety Administration (NHTSA) and EPA ECHO provide information on drug and product recalls, healthcare providers, vehicle safety, environmental compliance and enforcement activity.
• Nonprofit and Research Data: IRS and OpenAlex datasets support research into tax-exempt organizations, scholarly publications, research institutions and funding relationships.
• Legal Data: Through its integration with LAW.co, the platform provides access to U.S. court opinions, AI-generated case summaries and case citation relationships, supporting legal research applications and AI-powered legal workflows.

The marketplace incorporates source-specific licensing controls and usage restrictions. Where datasets contain third-party or restricted information, Data.co limits access based on applicable source terms and permitted uses. Certain information, including personal data appearing in corporate, political or regulatory records, is subject to additional restrictions.

Built for an AI Economy That Depends on Trusted Data

As organizations move beyond AI chat interfaces toward systems that autonomously research, analyze and execute tasks, the quality and traceability of the underlying data become increasingly important.

Data.co is designed to provide AI agents with structured access to external information while preserving clear attribution to the original source.

"AI is only as useful as the information it can reliably access," said Samuel Edwards, Chief Marketing Officer of Data.co. "There's a significant difference between asking an AI model to generate an answer and giving it direct access to authoritative financial filings, economic data, regulatory information or legal records. We're building Data.co around that distinction. Every dataset has a documented origin, and every response is designed to be traceable. That's critical as businesses begin relying on AI agents for increasingly consequential decisions."

The platform's MCP server extends dataset access to compatible AI development environments and agent frameworks, enabling applications to discover available data sources and execute permitted queries without requiring custom integrations for every provider.

About Data.co

Data.co, a division of Nead, LLC and DEV.co, develops private AI infrastructure, enterprise AI governance software and a unified marketplace of public and licensed datasets for businesses, developers and AI agents.

Its Data.co Control platform enables organizations to deploy and govern private AI systems within customer-controlled infrastructure, including air-gapped environments. The Data.co Marketplace provides centralized access to structured external data through REST APIs, MCP integrations and a browser-based query interface.

Contact Info:
Name: Samuel Edwards
Email: Send Email
Organization: Data.co
Website: https://data.co

Release ID: 89209295

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