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Vulcan Technologies

AI regulatory drafting and compliance

Vulcan uses AI to map every law, regulation, and court case in America, allowing government agencies and businesses to replace massive consulting projects with instant automated analyses. We call this "intelligent legal cartography." In 3 months, we went from zero customers to Virginia's Executive Order 51, requiring all state agencies to use Vulcan. We are now live with the U.S. Department of Education, a regulatory reform PAC in South Carolina, and have a pipeline of several additional state and federal agencies and major enterprises. Our initial agency partners use legal cartography to draft lawful regulations, respond to public comments on regulations, and instantly generate mandatory cost-benefit analyses. We have both public and private sector visions. In the public sector: we endeavor to automate the entire regulatory process end-to-end; replacing the consulting industrial complex with software. In the private sector: we plan to automate regulatory compliance, tackling the $4 trillion regulatory cost on the U.S. economy.
Active Founders
Tanner Jones
Tanner Jones
Founder
Tanner studied PPE and Classics at Dartmouth. Previously, he founded and exited Downballot Solutions with Arvind Veluvali (Fresco AI, YC F24), a political campaign tech startup. Later, Tanner was the Technology and Regulatory Policy Director at Joe Lonsdale's Cicero Institute, where he was the 2024 employee of the year. Tanner also coached the 2021 speech and debate national champion, holds powerlifting records in two states, and qualified to the 2023 IPL world powerlifting championships.
Aleksander Mekhanik
Aleksander Mekhanik
Founder
Alek earned the prestigious Jack Byrne grant offered to the top math students at Dartmouth, where he studied electrical computer engineering with a focus in machine learning. Previously, Alek was a nationally competitive chess player and high school varsity athlete. He has also contributed to several startups as a machine learning engineer. Beyond Vulcan, Alek holds Ivy League and Arizona powerlifting records and qualified to USAPL collegiate nationals.
Chris Minge
Chris Minge
Co-Founder & CTO
Chris studied computer science and philosophy at Princeton University, graduating in 2022. After graduating, he was a software engineer at Google, where he worked on ML infrastructure, supporting Gemini, Waymo, Vertex AI, and other services.
Company Launches
Vulcan Technologies — Virginia Required Our Product by Law
See original launch post

Vulcan Technologies

We are deleting red tape and replacing expensive consultants with AI tools that empower elected officials to actualize the public will and interest.

Virginia Required Our Product by Law

Traction

  • Governor of Virginia: Signed Executive Order last week embedding our invention, “AI agentic regulatory review,” into Virginia's regulatory processes, memorializing our ongoing contract
  • U.S. Department of Education: Implementing regulatory changes with our platform
  • South Carolina PAC: Contracted for regulatory reform initiatives
  • Acquired RegsBot: Our biggest competitor
  • Advisory Board: Stanford Hoover Institute economics PhD (20+ years regulatory research) + Top-5 law school JD (2 White House tours, 20+ years law/policy)

The Problem

Elected officials — representatives, senators, governors, and presidents — write laws and executive orders to actualize their campaign promises and, in theory, serve the public will and interest. These newly-minted laws and executive orders are then passed to regulatory agencies in the executive branch, occupied by thousands of bureaucrats and contractors, who write regulations and guidance documents designed to implement laws and executive orders.

In the status quo, the regulatory implementation process is sluggish and highly bureaucratic. Each regulatory change must cohere with all existing state law, federal law, and case law; otherwise, agencies risk litigation and the loss of their budgets. Consequently, agencies spend millions of dollars and years hiring consultancies and law firms just to double-check that their proposed implementation of laws and executive orders is actually lawful.

Each step in this onerous and years-long iteration loop creates new arenas for political conflict, wastes taxpayer dollars, and means that the public will, exercised by elected officials, is not actually implemented.

Our agentic scraper reflects the entire American legal corpus (statutes, regulations, case law, in all jurisdictions) and our proprietary AI knowledge graph maps relationships between legal nodes. Examples: court precedent nullifies federal law, federal law supersedes state law, federal funding demands state compliance, etc.

Our system:

  • Instantly redlines proposed regulations
  • Responds to public comment
  • Drafts legislative language
  • Illuminates compliance violations while generating lawful alternatives

We enable elected officials and their appointees to execute policy changes without wasting time and tax dollars on legal complexities and consultant dependencies.

The Team

We came together because we believe AI can and should strengthen America's democratic institutions.

Tanner turned down Harvard Law School and left his job as Technology and Regulatory Policy Director at Joe Lonsdale's Cicero Institute where he worked on AI and regulatory policy in 30 states. Previously he worked for Andrew Yang's presidential campaign and wrote his Dartmouth thesis about the "ontology of American regulation."

Alek dropped out of Dartmouth where he studied Machine Learning, was a chess champion, and a recipient of the Jack Byrne grant for Dartmouth's top math students. Alek also worked as an AI engineer at several startups before founding Vulcan.

Chris left Google where he built ML infrastructure for Gemini and Waymo. Before Google, Chris studied CS and Philosophy at Princeton. Chris became passionate about regulatory reform and leveraging AI to improve policy after following SF politics and the emergent abundance movement.

Asks

  • Agency connections — state and federal agencies, legislative counsels, regulatory affairs, anyone in government to whom we can sell
  • Govtech sales wisdom — government contracting as a startup is uniquely challenging and we would love to pick the brains of anyone with experience
  • Legal/regulatory expertise — administrative law attorneys who understand the compliance landscape
  • Government veterans — folks with credibility and gravitas who have occupied senior roles in state and federal government agencies
  • Feedback on our vision — we are building AI that empowers elected officials to implement durable policy changes

Our Ideology

We see a dialectic in AI and government: totalitarianism (algorithmic control and surveillance undermining freedom) vs. humanism (AI empowering innovation and responsive government, unlocking unprecedented freedom, creativity, and individualism).

At Vulcan, we are building the humanist future — tools that empower elected officials to serve the public interest without bureaucratic capture.

Our core belief is this: as AI gets better, our Republic should get better too.

Contact: founders@vulcan-tech.com
Website: www.vulcan-tech.com

Jobs at Vulcan Technologies
Austin, TX, US
$80K - $150K
0.15% - 1.00%
1+ years
Austin, TX, US
$80K - $250K
0.15% - 2.00%
3+ years
Austin, TX, US
$80K - $150K
0.15% - 1.00%
1+ years
Vulcan Technologies
Founded:2025
Batch:Summer 2025
Team Size:6
Status:
Active
Location:Austin, TX
Primary Partner:Gustaf Alstromer