About Glacis

Machines act. People answer.

We are building the proof layer for AI systems that act — runtime assurance enforced in the path of the action, with evidence a third party can check.

What we do

Probe. Block. Sign.

Most teams can describe policies, logs, and evals. Few can probe the boundary where the agent acts, block what should not happen, and produce a portable receipt of what did.

Probe — find what’s exposed

Authorized adversarial probing against APIs, tools, agents, and workflows inside your environment. Every finding lands with the request that proves it — exploitable, not theoretical.

Block — harden the boundary

Runtime controls sit inside your environment, with classifiers on your own hardware. Tool allowlists, parameter checks, approval gates — PHI, secrets, and customer data never leave your stack to decide whether they should.

Sign — emit the receipt

Every probe, block, and controlled action emits an OVERT receipt: what control ran, what it decided, which workflow it protected. Signed at runtime, tamper‑evident, verifiable offline — independent of Glacis.

Who we are

We lived the problem.

We built the “ship fast versus prove it works” paradox at SwiftKey, Vektor Medical, and Cognoa.

Joe Braidwood

Joe Braidwood

Co‑founder & CEO

Founding team at SwiftKey, acquired by Microsoft for $250M; scaled the keyboard AI to 300M+ devices pre‑acquisition, shipping on 1B+ devices today. Chief Strategy Officer at Vektor Medical. 15+ years building AI products at scale.

LinkedIn →

Rohit Tatachar

Rohit Tatachar

Co‑founder & CTO

Nearly 19 years at Microsoft leading Azure infrastructure at billion‑dollar scale, most recently on the AI Foundry team building the infrastructure layer for enterprise AI. Architect of the Glacis runtime kernel.

LinkedIn →

Jennifer Shannon, MD

Jennifer Shannon, MD

Co‑founder & Chief Medical Officer

Board‑certified psychiatrist with 15+ years of clinical experience. Medical Director at Cognoa, where she helped develop Canvas Dx, the first FDA‑authorized AI diagnostic for autism. CHAI Coalition member.

LinkedIn →

Principles

What we believe.

Private by design

We architect systems so we never see your data. Trust through verification, not promises.

Built for builders

Accountability that slows you down is not accountability — it is a tax. Move fast and prove things.

Prove, don’t promise

Attestations over assertions. Verifiable evidence over policy documents.

Trust you can defend

The evidence we produce belongs to your team — to hand to auditors, regulators, customers, and reviewers, and have them verify it independently.

Backed by

  • AI House
  • Mighty Capital
  • Lionheart Ventures
  • SAIF — Safe AI Fund
  • Plug and Play
  • Sourdough Ventures

If you’re trying to figure out where you stand with AI, we’d like to hear about it.