ZeroDrift

Market position

The company positions itself as a horizontal compliance enforcement layer covering all AI output surfaces within a firm — agents, applications, copilots, documents, email, and marketing — under a single policy engine, with depth in the regulatory regimes governing customer communication, marketing, disclosures, and AI-generated outputs.

ZeroDrift combines a deterministic rules engine with a compliance-specific small language model to produce explainable verdicts that cite the underlying rule, and revalidates rewritten content before it is sent. Integration is designed to avoid stack changes: the gateway is compatible with existing LLM API calls. Enterprise deployment controls include in-VPC hosting, per-tenant isolation, customer-managed keys, and no retention of customer data.

Technology

The core is Anchor, a small language model purpose-built for compliance checking, currently at version 3.0-Preview. Anchor runs in parallel with a deterministic rules engine, and the two produce a single verdict — pass, rewrite, block, or escalate — so that deterministic rules govern where exactness is required while the model handles context-dependent judgments. Each decision cites the specific rule behind it, and every rewrite is re-checked before delivery. The model handles text and can be tuned to a firm's policies, restricted lists, approval flows, and writing voice. For agent-facing enforcement, ZeroDrift operates an API gateway (gateway.zerodrift.ai) that is drop-in compatible with LLM provider endpoints, so integration requires changing a base URL; it is described as working with OpenAI, Anthropic, and other major LLM providers. Deployment options include cloud and in-VPC, with per-tenant isolation, customer-managed encryption keys, SSO, and no retention of customer data.

Go-to-market

Self-serve developer entry via a queued signup that grants API access and starter credits, alongside enterprise demo requests and direct engineering consultations. Integration is framed as a single endpoint change requiring one line of code, lowering adoption friction for engineering teams. Messaging is segmented by buyer persona — compliance officers (CCOs), heads of AI (CAIOs), security leaders (CISOs), and engineering leaders (CTOs and platform teams) — and by regulated vertical.

Regulated enterprises deploying AI in customer-facing and internal communication. Named financial services segments include broker-dealers, RIAs, asset managers, hedge funds, banks, and wealth platforms. In insurance, the focus is AI agents and copilots used in policyholder service, underwriting, and claims. In healthcare, targets include providers, payers, digital health platforms, and healthcare AI systems.

History

The company publicizes a $10M seed round reported by TechCrunch to build its compliance firewall for AI, and describes itself as backed by AI-focused venture capital firms.