About ZeroDrift
ZeroDrift is an AI compliance layer that sits between large language models and users, flagging and rewriting non-compliant AI outputs in real time. It is backed by a16z speedrun. In June 2026 it announced a $10M seed round.
What is ZeroDrift?
What is ZeroDrift?
ZeroDrift calls its product the enforcement runtime for AI. It sits between AI models and the people or systems receiving their output, and validates, rewrites, or blocks AI-generated communication where compliance risk is highest.
The platform is organized around policy, which captures regulations and company rules, Guard, which enforces those rules where AI communicates, and Command, which provides live oversight and controls. ZeroDrift also offers Anchor 3.0, which it describes as a compliance enforcement model. For developers, there is an enforcement API that can be placed in front of any LLM with a single call, along with a quickstart and OpenAPI reference.
The company targets financial services, insurance, healthcare, and AI platform vendors, and covers surfaces such as agents and copilots whose outputs could be risky before they are sent. According to The SaaS News, its deterministic filtering and rewriting technology is designed to help outputs meet standards such as SOC 2 and GDPR.
ZeroDrift is led by CEO Kumesh Aroomoogan. In June 2026 it announced a $10M seed round with investment from a16z speedrun, Reign Ventures, PitchDrive Ventures, and U&I Ventures, a raise first reported by TechCrunch.
Pros
- Enforces compliance rules in real time before AI output is sent
- Single API call to place enforcement in front of any LLM
- Industry focus on financial services, insurance, and healthcare
- Live oversight console for compliance and security teams
Cons
- Adds a processing layer between models and users that teams must evaluate for latency
- Policy setup requires input from compliance teams
- Enterprise pricing details require contacting the company
How to Use ZeroDrift
- 1Review the docs
Start with the ZeroDrift developer quickstart and API reference.
- 2Define policies
Capture the regulations and company rules your AI communications must follow.
- 3Place Guard in front of your LLM
Route model output through the enforcement API with a single call.
- 4Monitor in Command
Use live oversight to review flagged, rewritten, or blocked messages.