All analysis was generated autonomously, without human review. Scores are analytical opinions drawn from the cited public sources, without hands-on testing. They are not audits, certifications, investment reports, purchasing advice, or evaluations of quality.
Enveil commercializes homomorphic encryption, cryptography that keeps data encrypted while it is searched, analyzed, or used by AI, and it is one of a small handful of companies selling the technique. Its founder carried the core technology out of the NSA. Where it has sold is federal: a 2025 Defense Innovation Unit space-data contract, a 2024 Army Project Linchpin selection for encrypted machine learning, and a NIAP Common Criteria certification point to national-security buyers procuring through accreditation gates. The commercial market it leads with, cross-silo data sharing and fraud detection for banks, stays thinner: backers reportedly pay for the product, the reviewed record documents no named production case study, and the latest disclosed funding is the April 2022 Series B.
| Description | Privacy Enhancing Technology company whose ZeroReveal products use homomorphic encryption and secure multiparty computation to keep data encrypted while it is searched, analyzed, or used in AI and machine learning. | [f1] |
|---|---|---|
| Founded | 2016 | [f2] |
| HQ | Fulton, Maryland, United States | [f2] |
| Funding | $40M total | [f3] |
| Latest funding | Series B ($25M, April 2022, led by USAA) | [f4] |
| Product | What it does |
|---|---|
| ZeroReveal Search | Encrypted search and watchlisting that lets users query data in any environment without revealing the search content or moving the underlying data, powered by homomorphic encryption. |
| ZeroReveal Machine Learning | Privacy-preserving machine learning that runs models against data across silos and boundaries without exposing the model or the underlying data being processed. |
AI Defense Matrix
| Govern | Identify | Protect | Detect | Respond | Recover | |
|---|---|---|---|---|---|---|
| AI-Workload Platforms Inference servers, training platforms, vector DB platforms, and the model-loading supply chain. | ||||||
| AI Orchestration Tools Agentic orchestration tools, plus their plugins, skills, hooks, system prompts, scaffolding, harnesses, configuration settings, and MCP clients on user devices. | ||||||
| AI-Generated Code Code produced by AI tools, AI-assisted reviews, AI-generated infrastructure-as-code and tests, and vibe-coded apps that bypass CI/CD. | ||||||
| AI Gateways & Routers MCP proxies and gateways, LLM routers, outbound AI-service traffic, shadow AI egress, and model-registry traffic. | ||||||
| AI Model Model weights, fine-tuning checkpoints, model cards, registries, AIBOM, and the third-party LLMs your enterprise consumes. | ||||||
| Training Data Datasets used for training, fine-tuning, and continued learning. | ||||||
| Runtime AI Data User prompts, inference inputs, RAG content, vector DB content, persistent agent memory, and interaction history. | ||||||
| AI Agent Identities AI agents as non-human principals, plus credentials, keys, permission scopes, service accounts, and delegation chains across agents and tools. |
Enveil ZeroReveal Machine Learning keeps machine learning models encrypted during evaluation and enables encrypted federated training across data silos. It is mapped to the AI Defense Matrix. [f5]
Cyber Defense Matrix
| Identify | Protect | Detect | Respond | Recover | |
|---|---|---|---|---|---|
| Devices Workstations, servers, phones, tablets, storage, network devices, IoT infrastructure, and similar hardware. | |||||
| Applications Software, interactions, and application flows on the devices. | |||||
| Networks Connections and traffic flowing among devices and apps, plus communication paths. | |||||
| Data Content at rest, in transit, or in use across devices, apps, and networks. | |||||
| Users The people using the devices, apps, networks, and data. |
Enveil ZeroReveal Search and ZeroReveal Machine Learning use homomorphic encryption to keep data encrypted while it is searched, analyzed, or used by models, protecting the query content and the underlying records during processing. This data-in-use protection is mapped to the Cyber Defense Matrix. [f1]
How well the company can compete in its security market, scored across eight dimensions against public evidence.
| Dimension | Score |
|---|---|
| Problem Clarity How precisely the company defines its problem, with evidence the problem exists at the scale claimed. | 3/5 |
| Capability Depth How specific the technical capabilities are, with evidence beyond marketing claims such as docs, demos, and third-party validation. | 4/5 |
| Market Timing Whether the market is ready for this product, with evidence that buyers are actively seeking solutions. | 3/5 |
| Team Credibility Demonstrated domain expertise with public signals such as prior exits, publications, and industry recognition. | 3/5 |
| GTM Proof Evidence of actual traction (customers, revenue signals, partnerships) beyond stated intentions. | 3/5 |
| Funding Efficiency Whether funding matches go-to-market ambition, with signs of capital-efficient growth. | 2/5 |
| Category Clarity Whether the company creates or fits a recognizable category that buyers can quickly place in their stack. | 3/5 |
| Incumbent Defensibility How vulnerable the core value proposition is to absorption as a feature by a platform vendor. | 3/5 |
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A closer look at the company's product strategy, measuring how defensible it is against market forces and examining the eight areas behind it.
reinforce or reposition
| Dimension | Score |
|---|---|
| Value Delivery Does the product sell software as the product, or judgment, trust, or accountability with software as the delivery mechanism. | 1/3 |
| Switching Cost How expensive leaving is for a customer: data portability, integrations, learned workflows, network effects, regulatory data residency. | 2/3 |
| Compliance Moat Whether certifications, liability acceptance, or audit trails block an easy replacement. | 2/3 |
| Problem Complexity Whether the product requires ML, optimization, real-time systems, or years of specialized expertise. | 3/3 |
| Buyer Profile Whether buyers are SMB operators, mid-market IT teams, or regulated enterprises and governments with procurement gates. | 2/3 |
| Layer Whether the product is an end-user application, a platform with application features, or infrastructure other applications depend on. | 2/3 |
| Proprietary Data, Content, or IP Whether the product accumulates datasets, content licenses, or IP that a rival cannot recreate from scratch. | 1/3 |
Unlock the Full Analysis
The reasoning for the scores, the strategy deep dive, the business risks, and more. AI access comes with the purchase, so your AI tools can read the full profile too. You keep 12 months of access.
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| Id | Source | Tier | Accessed |
|---|---|---|---|
| f1 | Enveil About page | official | 2026-06-24 |
| f2 | SecurityWeek: Encryption Firm With NSA Roots Raises 10 Million (founded 2016) | press | 2026-06-24 |
| f3 | SecurityWeek: Enveil has raised a total of 40 million in venture capital funding | press | 2026-06-24 |
| f4 | Help Net Security: Enveil Series B led by USAA | press | 2026-06-24 |
| f5 | AI Defense Matrix Catalog mapping | other | 2026-07-08 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Enveil About page | official | 2026-06-24 |
| s2 | Enveil Products (ZeroReveal Search and Machine Learning) | official | 2026-06-24 |
| s3 | Enveil Secure AI page | official | 2026-06-24 |
| s4 | Enveil FAQ on PETs and homomorphic encryption | official | 2026-06-24 |
| s5 | SecurityWeek: Encryption Firm With NSA Roots Raises 10 Million (Series A, NSA origins, founded 2016) “The core technology originates from within the U.S. National Security Agency (NSA). Enveil's CEO and founder, Ellison Anne Williams, worked on the project within the NSA as a senior researcher for 12 years.” | press | 2026-06-24 |
| s6 | Help Net Security: Enveil raises 25 million Series B (USAA-led, total over 40 million, 300% revenue growth) “Building on an over 300% increase in revenue achieved since closing its Series A funding, Enveil will leverage the capital to expand sales, product development, and marketing activity” | press | 2026-06-24 |
| s7 | SecurityWeek: Enveil bags 25 million, one of the more mature players in the PET category “Since launching in 2016, Enveil has raised a total of $40 million in venture capital funding and is considered one of the more mature players in the competitive PET (privacy enhancing technologies) category.” | press | 2026-06-24 |
| s8 | TechCrunch: Enveil raises 25M for encrypted privacy-focused search and analytics “it is one of a very small handful of security startups that's been working to commercialize the concept of homomorphic encryption ... others include Duality, IBM and Paris-based Zama.” | press | 2026-06-24 |
| s9 | Enveil: New contract funded by the Defense Innovation Unit for Hybrid Space Architecture (May 2025) “Enveil today announced a new contract funded by the Defense Innovation Unit (DIU) to advance secure data usage in support of the Hybrid Space Architecture (HSA).” | official | 2026-06-24 |
| s10 | Enveil: Achieves NIAP Common Criteria Certification (first Data in Use security vendor, Sept 2018) “Overseen by the National Information Assurance Partnership (NIAP), the Common Criteria certification validates that a product meets strict security requirements for U.S. National Security System procurement” | official | 2026-06-24 |
| s11 | U.S. SBIR award record: Enveil, Inc., Encrypted Model Inference for Secure ML Deployment (DOD, 2024) “Enveil specifically engineered its ZeroReveal Machine Learning solutions to address AI/ML vulnerabilities and enable decision dominance within a multi-domain operating environment.” | regulatory | 2026-06-30 |
| s12 | CB Insights: Enveil company profile (Privacy Enhancing Technology, named competitors) “Competitors of Enveil include Opaque, Anjuna, Omnisient, Cosmian, Duality Technologies and 7 more.” | research | 2026-06-30 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Enveil: About page, leadership and Intelligence Community founding “Founded in 2016 by U.S. Intelligence Community alumni with backgrounds in mathematics, algorithmics, and machine learning, Enveil is engineering trust to empower organizations” | official | 2026-07-08 |
| s2 | Enveil: ZeroReveal Search and ZeroReveal Machine Learning products “Enveil's ZeroReveal Client and Server applications function as a point-to-point proxy layer to perform secure computations.” | official | 2026-07-08 |
| s3 | Enveil: Enabling Secure AI with ZeroReveal Machine Learning “Enveil's ZeroReveal Machine Learning solutions extend the boundary of trusted compute by delivering Secure AI across boundaries and silos of disparate, decentralized datasets.” | official | 2026-07-08 |
| s4 | Enveil: FAQ on PETs research versus commercialization “homomorphic encryption libraries provide basic cryptographic components, but organizations leveraging them must dedicate engineering, algorithmic, and integration resources in order to mature the basic building blocks into viable, enterprise-grade solutions.” | official | 2026-07-08 |
| s5 | Enveil: Achieves NIAP Common Criteria Certification for Data in Use (Sept 2018) “the Common Criteria certification validates that a product meets strict security requirements for U.S. National Security System procurement and is used globally by organizations in 28 member countries” | official | 2026-07-08 |
| s6 | Enveil: New contract funded by the Defense Innovation Unit for Hybrid Space Architecture (May 2025) “Enveil today announced a new contract funded by the Defense Innovation Unit (DIU) to advance secure data usage in support of the Hybrid Space Architecture (HSA).” | official | 2026-07-08 |
| s7 | Enveil: Wins Army Project Linchpin contract to deliver Secure AI (July 2024) “Enveil, the pioneering Privacy Enhancing Technology company protecting Data in Use, today announced it has been selected to provide Secure AI capabilities in support of Project Linchpin, a U.S. Army initiative focused on delivering a trusted AI/ML operations pipeline.” | official | 2026-07-08 |
| s8 | Enveil: Next-gen encrypted search, ZeroReveal Search 6.0 release (July 2025) “today announced the release of ZeroReveal Search 6.0, the latest iteration of its flagship, award-winning software ... the enhanced offering delivers accelerated scalability, improvements in cloud hardware configuration, and advanced server integrations to optimize performance for Edge deployments.” | official | 2026-07-08 |
| s9 | Enveil: Named in the 2025 Gartner Market Guide for AI Trust, Risk and Security Management “The Guide identifies Enveil as a provider of Privacy Enhancing Technologies, specifically mentioning the company's use of homomorphic encryption.” | official | 2026-07-08 |
| s10 | SecurityWeek: Encryption Firm With NSA Roots Raises 10 Million (NSA origins, founded 2016) “Enveil's CEO and founder, Ellison Anne Williams, worked on the project within the NSA as a senior researcher for 12 years. When she left in 2015 she took the technology with her, exclusively, and founded Enveil.” | press | 2026-07-08 |
| s11 | Help Net Security: Enveil raises 25 million Series B, USAA-led (April 2022) “led by USAA with contributions from existing investors which include Mastercard, Capital One Ventures, C5 Capital, DataTribe, In-Q-Tel ... Building on an over 300% increase in revenue achieved since closing its Series A funding” | press | 2026-07-08 |
| s12 | SecurityWeek: Enveil bags 25 million, one of the more mature players in the PET category “Since launching in 2016, Enveil has raised a total of $40 million in venture capital funding and is considered one of the more mature players in the competitive PET (privacy enhancing technologies) category.” | press | 2026-07-08 |
| s13 | TechCrunch: Enveil raises 25M for encrypted privacy-focused search and analytics “Enveil's big pitch is that it is one of a very small handful of security startups that's been working to commercialize the concept of homomorphic encryption ... others include Duality, IBM and Paris-based Zama.” | press | 2026-07-08 |
| s14 | U.S. SBIR award record: Enveil, Encrypted Model Inference for Secure ML Deployment (Army, Phase II, 2024) “Enveil specifically engineered its ZeroReveal Machine Learning solutions to address AI/ML vulnerabilities and enable decision dominance within a multi-domain operating environment.” | regulatory | 2026-07-08 |
| s15 | Enveil trust-surface probe 2026-07-08 (curl fetch): no trust subdomain, security path is a news article, no SOC 2 or ISO 27001 footer badge “In the March issue of Security Journal UK, Enveil CEO Ellison” | official | 2026-07-08 |
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