Vulcan Technologies
Vulcan Technologies builds frontier AI for law and government, headquartered in Austin, Texas and founded in 2025. Its flagship product, Justinian, is a legal AI agent that runs on roughly 157 billion records of American law and policy — including 13+ billion court records, every municipal code, and federal and state statutes, regulations, and active legislative sessions — planning research, drafting work product, and verifying and citing every claim against source. A second product, Trajan, is a government AI concierge for citizen services such as permits, registrations, and license renewals. Vulcan is FedRAMP Ready, runs in AWS GovCloud (US), and serves customers including the Virginia Office of Regulatory Management, the U.S. Department of Education, and South Carolina agencies. The company raised a $10.9M seed round (October 2025) co-led by General Catalyst and Cubit Capital, with participation from Y Combinator, SV Angel, and others. Vulcan is a product/agent company and does not currently publish a public developer API.
Vulcan Technologies is profiled on the APIs.io network. Tagged areas include Company, Legal AI, Government, RegTech, and Regulatory Compliance.
Vulcan Technologies’ developer surface includes support, engineering blog, changelog, and 9 more developer resources.
Kin Score
Markets this provider is in provisional
The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.
| Market | Position | Depth | Registered MCP server | Declares compatibility |
|---|---|---|---|---|
| Government Cloud (FedRAMP, GovRAMP, G-Cloud) | standard | 17.2 (thin) | - | - |
Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 1
Pagination, idempotency, versioning, errors, and events
Access & Security 4
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Company 4
The organization behind the API
Source (apis.yml)
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.