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.
Prior executives from Amazon Web Services and FIS built Liminal to let regulated enterprises say yes to generative AI. The platform gives employees governed chat, search, and assistants across multiple AI models while redacting sensitive data in prompts and restoring it in responses. Liminal sells through channels, and the technology distributor Telarus lists it at a per-user monthly price. Customer proof is testimonial-level. The homepage quotes the CIO and CISO of Delta Dental of New Jersey/Connecticut claiming a 5x return and a data governance manager at Northern Arizona Healthcare. A funding tracker records a November 2025 Series A without a public amount. Watch whether the testimonials grow into published case studies, the proof regulated procurement teams ask for.
| Description | Liminal provides a secure generative AI enablement platform that gives regulated enterprises governed, multi-model AI access for employees while detecting sensitive data in prompts, redacting it per policy, and rehydrating protected terms in responses. | [f1] |
|---|---|---|
| HQ | Denver, Colorado, United States | [f2] |
| Funding | $17M total | [f3] |
| Latest funding | Series A, November 2025 (amount undisclosed) | [f3] |
| Product | What it does |
|---|---|
| Liminal Platform | Multi-model AI workspace with governed chat, enterprise search, and custom assistants that redacts sensitive prompt data per policy and rehydrates protected terms in model responses. |
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. |
Liminal Platform detects PII, PHI, and other sensitive data in employee prompts, masks or redacts it before submission to any model, rehydrates protected terms in responses, and routes multi-model AI traffic under centralized policy. These capabilities are mapped to the AI Defense Matrix. [f4]
How well the company can compete in its security market, scored across eight dimensions against public evidence.
| Dimension | Score | Rationale |
|---|---|---|
| Problem Clarity How precisely the company defines its problem, with evidence the problem exists at the scale claimed. | 3/5 | The pitch targets regulated enterprises' CIO and CISO teams, and the pain is framed through the 2023 data-leak bans and Liminal's own survey finding 63% of employees would share data regardless of policy, so the problem is vendor-asserted rather than independently quantified. [s3, s1] |
| Capability Depth How specific the technical capabilities are, with evidence beyond marketing claims such as docs and third-party validation. | 3/5 | Platform pages, the AI Defense Matrix Catalog, and the Telarus listing describe the mechanism concretely, detect and redact sensitive data before submission and rehydrate protected terms in responses, but no public documentation portal, sandbox, or open-source code lets a third party validate the depth. [s2, s9, s7] |
| Market Timing Whether the market is ready for this product, with evidence that buyers are actively seeking solutions. | 3/5 | The enabler is dated and sourced, the 2023 wave of corporate data leaks and employee AI bans that Liminal's January 2024 launch answered, but buyer-side demand for secure enablement stays indirect in the record, carried by funding events and vendor announcements rather than independent demand signals. [s3, s4] |
| Team Credibility Demonstrated domain expertise with public signals such as prior exits, publications, and industry recognition. | 3/5 | Steven Walchek is a verifiable founder and chief executive, and the launch names a founding team of prior Amazon Web Services and FIS executives, senior enterprise-technology experience without an in-domain security exit or a publication trail in the public record. [s3, s14] |
| GTM Proof Evidence of actual traction (customers, revenue signals, partnerships) beyond stated intentions. | 3/5 | Two named customers appear as homepage testimonials, leaders at Delta Dental of New Jersey/Connecticut and Northern Arizona Healthcare, and a live Telarus supplier listing adds verifiable channel motion. No independent corroboration of scale or published case study lifts the evidence beyond the named-references level. [s1, s7, s12, s13] |
| Funding Efficiency Whether funding matches go-to-market ambition, with signs of capital-efficient growth. | 3/5 | The June 2024 seed of more than $5 million was proportional to the company's stage at the time, and the public record now shows a shipped platform, desktop application, and browser extension. The aggregator-reported November 2025 Series A amount is undisclosed and no revenue or growth figure is public, so efficiency is unconfirmed. [s4, s2, s10] |
| Category Clarity Whether the company creates or fits a recognizable category that buyers can quickly place in their stack. | 3/5 | Secure enterprise AI enablement is an emerging category that still needs vendor explanation, and Liminal describes itself across security, governance, and enablement at once. Buyers can place the product near data-loss prevention and AI gateways, but no analyst placement appears in the record. [s2, s9] |
| Incumbent Defensibility How vulnerable the core value proposition is to absorption as a feature by a platform vendor. | 2/5 | Policy-driven redaction and multi-model administration are plausible feature releases for model providers' enterprise tiers and for secure web gateway vendors already selling to the same buyer. Neutrality across models is a positioning answer rather than a structural moat, and no accumulated data or integration depth appears in the record. [s2, s9] |
Liminal targets the tension between employee demand for generative AI and the data rules of regulated industries. Its launch announcement framed the problem with the 2023 wave of corporate data leaks and the employee bans that followed, and the company's own study found that 63% of employees would share personal or proprietary corporate data with generative AI tools regardless of company policy.
The buyer is the CIO and CISO of a regulated enterprise. The site organizes the pitch by vertical, with industry pages for banking, healthcare, insurance, and other regulated sectors, and Steven Walchek's launch message frames the product as letting those leaders say yes to generative AI.
Independent quantification of the pain does not appear in the public record. The problem framing comes from the vendor's own survey and from widely reported 2023 incidents rather than from third-party research specific to this category. [s3, s1]
Liminal Platform is an employee-facing AI workspace with a data-protection gateway underneath. Employees get chat across models from OpenAI, Anthropic, Perplexity, Google, and other providers, enterprise search over organizational data, and custom assistants, delivered through a web application, a desktop application, and a browser extension.
The security mechanism is inline data protection. The platform cleanses sensitive data before a prompt reaches any model and rehydrates the protected terms in the response. The AI Defense Matrix Catalog describes the product as a data-protection gateway that detects PII, PHI, and IP and masks or redacts it per policy, and the distributor Telarus describes it as middleware between the end user and all LLMs.
The vendor's own pages plus third-party catalog and distributor summaries carry all of the capability detail. A buyer cannot inspect public documentation, a sandbox, or code before requesting a demo. [s2, s9, s7]
Liminal competes in the emerging space of governed enterprise AI access. The closest peers by pitch, selected here for comparison rather than named by Liminal, are AI-usage governance vendors such as WitnessAI and Prompt Security and governed AI workspaces such as Credal. All sell a CISO-approved path for employees to use generative AI.
Model providers and productivity incumbents press on the category from above. An enterprise that standardizes on one AI suite gets bundled administrative controls with it, which shrinks the case for a separate multi-model gateway. Liminal's counter is neutrality across models and packaging aimed at regulated verticals.
The channel pitch makes the pricing contrast explicit. Telarus presents Liminal's per-user pricing as a more secure and more cost-effective alternative to locking into an enterprise license with a single LLM provider. [s2, s7, s9]
Liminal's public customer proof is testimonial-level. The homepage quotes Justin Lahullier, the CIO and CISO of Delta Dental of New Jersey/Connecticut, claiming a 5x return, and Chad Tharan, a data governance manager at Northern Arizona Healthcare. The January 2024 launch announced its enterprise partners without naming them, and the case-studies section of the site holds foundational papers and ebooks rather than customer stories as of July 2026.
The channel is the visible part of the sales motion. Liminal runs a partner program for referral and reseller relationships, and the technology distributor Telarus lists Liminal as a supplier, describing the product and its per-user pricing to its advisor network.
Indirect signals come from investors. Liminal added more than $5 million in an oversubscribed seed led by Fin Capital in June 2024 with veteran regulated-industry executives participating, and the Tracxn aggregator records a November 2025 Series A with an undisclosed amount. [s1, s3, s14, s13, s12, s7, s4, s10]
Liminal is a founder-led company built by enterprise-technology executives rather than security researchers. Founder and CEO Steven Walchek fronts the company's announcements, and the launch described the founding team as prior executives from Amazon Web Services and FIS, the financial-technology company.
The public record documents seniority, not security pedigree. The announcements name Steven Walchek and describe the rest of the founding team generally, and the public record does not name additional executives, security research, a publication record, or a prior security company for the team. [s3, s4, s14]
Liminal's compliance collateral is unusually complete for a company at its stage. A trust center at trust.liminal.ai offers a SOC 2 Type 2 2026 report and an August 2025 penetration test report on request, lists subprocessors including AWS and Google Cloud Platform, and was updated in June 2026. The site footer adds HIPAA compliance and marks ISO 27001, HITRUST, and NIST alignment as in progress.
The trust posture matches the sales motion. Liminal sells data protection to compliance-bound buyers, so the SOC 2 report, the penetration test, and the subprocessor list work as sales collateral as much as governance hygiene. These are credentials rivals can also earn, and no compliance regime mandates a generative-AI gateway, so the collateral eases procurement without locking out substitutes. [s8, s12]
| Company | Relationship | Note | Compare |
|---|---|---|---|
| WitnessAI | competes with | Governs employee AI usage for large regulated enterprises with network-level interception, overlapping Liminal's policy and observability pitch. | |
| Credal | competes with | Governed multi-model AI workspace with enterprise search and permission-aware data access, the same governed-access shape Liminal sells. | |
| Prompt Security | competes with | Employee AI-usage protection with prompt-level data redaction, overlapping Liminal's inline data-protection mechanism. | |
| Microsoft | competes with | Bundles governed AI assistants and data controls into the productivity suite regulated enterprises already run. | N/AMicrosoft is scored by product line, not as a whole company, so there is no company-wide column to compare. Open its profile to compare a specific product. |
Add analyzed competitors to compare them side by side with Liminal.
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
The AI model providers are the main threat to Liminal's position. Liminal's gateway intercepts employee AI traffic to redact sensitive data and enforce policy, and any provider that adds redaction and admin controls to its enterprise tier shrinks the reason to buy a separate gateway. What Liminal keeps is neutrality, one data policy across rival models that no single vendor is likely to extend to its competitors. Its SOC 2 Type 2 report and 2025 penetration test ease procurement, and any rival can earn the same. No proprietary dataset appears in the public record, and customer proof is two homepage testimonials rather than published deployments. Liminal's lasting advantage is that neutral position, which holds only while regulated buyers want more than one model under one set of controls.
| Dimension | Score | Rationale |
|---|---|---|
| Value Delivery Does the product sell software as the product, or judgment, trust, or accountability with software as the delivery mechanism. | 1/3 | Liminal delivers software that a customer's employees use directly, priced per user per month through the Telarus channel, the software-product level. No human service layer accepts accountability for redaction decisions. |
| Switching Cost How expensive leaving is for a customer: data portability, integrations, learned workflows, network effects, regulatory data residency. | 2/3 | Daily employee AI work, configured policies, custom assistants, and data connections accumulate in the workspace, so a departing customer re-provisions model access and rebuilds that configuration, an exit expensive in effort rather than in consequence. |
| Compliance Moat Whether certifications, liability acceptance, or audit trails block an easy replacement. | 1/3 | SOC 2 Type 2, HIPAA compliance, and a published penetration test ease regulated procurement but are credentials any funded rival can earn, and the cited record identifies no regulation mandating a generative-AI gateway. |
| Problem Complexity Whether the product requires ML, optimization, real-time systems, or years of specialized expertise. | 3/3 | Detecting and redacting sensitive data inline across many models, restoring protected terms in responses, and retrieving organizational data wherever it resides is meaningful engineering, though each piece is reproducible by a funded team. |
| Buyer Profile Whether buyers are SMB operators, mid-market IT teams, or regulated enterprises and governments with procurement gates. | 3/3 | The evidenced buyers are regulated organizations. The homepage quotes the CIO and CISO of Delta Dental of New Jersey/Connecticut and a data governance manager at Northern Arizona Healthcare, which places the buyer at the regulated-enterprise level. |
| Layer Whether the product is an end-user application, a platform with application features, or infrastructure other applications depend on. | 2/3 | The platform is middleware between employees and models, in the distributor's own description, a control layer whose removal costs coverage and convenience while the customer's core systems keep running. |
| Proprietary Data, Content, or IP Whether the product accumulates datasets, content licenses, or IP that a rival cannot recreate from scratch. | 1/3 | No named non-public dataset, corpus, or cross-customer asset appears in the public record, the same default as the gateway and governed-access peers at 1. |
Liminal aims at regulated enterprises and says so on every surface. The site carries industry pages for banking, healthcare, insurance, and other regulated sectors, the launch announcement named healthcare, life sciences, public sector, education, financial services, and insurance as the segments its enterprise partners came from, and the investor roster includes veteran regulated-industry executives.
The segment choice matches the mechanism. Organizations with compliance obligations feel the pain of employees pasting sensitive data into AI tools most sharply, and Liminal's own study, which found 63% of employees would share such data regardless of policy, is aimed at exactly those buyers.
Within the enterprise, the entry point is broad employee productivity rather than a single team. The product pitches unlimited multi-model access for the whole workforce, which positions Liminal as an organization-wide utility rather than a departmental tool.
The platform pairs an employee AI workspace with an inline data-protection layer. Employees get chat across models from OpenAI, Anthropic, Perplexity, Google, and other providers, retrieval over organizational data, and custom assistants. The gateway cleanses sensitive data before a prompt leaves for any model and rehydrates the protected terms in the response, the mechanism the AI Defense Matrix Catalog describes as detecting PII, PHI, and IP and masking or redacting it per policy.
Model neutrality is the structural bet. Customers can bring their own fine-tuned or proprietary models alongside the top providers, so the platform positions itself as the policy layer that survives model churn rather than a wrapper around one vendor.
The AI in the product is applied, not novel. The pages describe sensitive-data detection, redaction with rehydration, re-ranking, and multi-model routing without claiming a novel method behind them, and no benchmark, research publication, or third-party evaluation of Liminal's detection quality appears in the public record.
Liminal sells through channels layered on top of a demo-gated direct motion. A partner program covers referral and reseller relationships plus technology partnerships for ISVs, and the technology distributor Telarus carries Liminal as a supplier, putting the product in front of Telarus's advisor network.
Customer proof is testimonial-level. The homepage quotes Justin Lahullier, the CIO and CISO of Delta Dental of New Jersey/Connecticut, claiming a 5x return, and Chad Tharan, a data governance manager at Northern Arizona Healthcare. The January 2024 launch left its enterprise partners unnamed, and the case-studies page holds foundational papers and ebooks rather than a fuller customer story as of July 2026.
The founder fronted the public motion through the reviewed announcements, the most recent from 2024. Steven Walchek carries the company's announcements and framing, which fits the stage: a Series A enterprise vendor selling through partners rather than a large direct sales force.
Liminal publishes no pricing page, but its channel reveals the model. The Telarus supplier listing says Liminal is offered per user per month at a price point positioned as more secure and more cost-effective than an enterprise license with a single LLM provider.
The per-user unit says what the company believes buyers pay for: governed AI access as an employee utility, not security inspection volume. That framing sets up a direct cost comparison against ChatGPT-style enterprise seats, with the pitch that one Liminal seat buys many models plus data protection.
The absence of public pricing fits a negotiated enterprise motion. Buyers see the number through advisors, resellers, or a demo conversation rather than a self-serve page.
Liminal delivers a cloud service with a per-customer isolation pitch. The platform page describes a dedicated single-tenant architecture, the vendor's isolation pitch, without detailing how far down the stack the isolation extends, and the trust center lists AWS and Google Cloud Platform among the subprocessors that host and support the service.
The endpoints of delivery are wherever employees work. Alongside the web application, a desktop application and a browser extension carry the governed AI experience into daily workflows.
Operational maturity signals are present but thin. A penetration test report dated 2025-08 listed on the trust center as available on request and a SOC 2 Type 2 report evidence baseline operational discipline, while no uptime commitment, status page, or scale figure appears in the public record.
Trust collateral is the strongest part of Liminal's public record. A trust center at trust.liminal.ai offers a SOC 2 Type 2 2026 report and a Pentest 2025-08 report on request, documents access-control, incident-response, and change-management controls, and lists subprocessors. The homepage footer adds HIPAA compliance and marks ISO 27001, HITRUST, and NIST alignment as in progress.
The collateral is stage-appropriate and buyer-directed. HIPAA and HITRUST speak to the healthcare vertical, and the in-progress items map to the certifications regulated procurement teams request. These credentials ease procurement but do not block substitutes, since any funded rival can earn the same attestations.
Liminal positions itself as the neutral layer over an ecosystem it does not control. The product's value depends on continued access to OpenAI, Anthropic, Perplexity, Google, and other model providers, plus connections into the systems where organizational data lives, and the bring-your-own-model option extends the same policy layer to a customer's proprietary models.
The partner program adds a commercial ecosystem around the technical one. Technology partnerships invite ISVs and developers to integrate Liminal's tools with co-marketing and co-selling support, and the AI Defense Matrix Catalog lists the product among AI data-protection gateways, giving it a place in the security taxonomy buyers use to compare tools.
Dependence runs one way. The model providers Liminal brokers access to are also its most plausible displacers, since each can bundle governance controls into its own enterprise offering.
Liminal is a Denver company founded and led by Steven Walchek, with a founding team the launch described as prior executives from Amazon Web Services and FIS. That background is enterprise infrastructure and financial technology, which matches the regulated-industry sales focus, and the company made its public release in January 2024.
The bench beyond the founder is thinly documented. No other C-suite executive is named in the announcements or the reviewed pages, though a head of marketing appears in press, and the Tracxn aggregator counts 25 employees as of May 2026, a small team for an organization-wide enterprise platform.
Investors supply adjacent credibility. The seed round was led by Fin Capital with High Alpha, Matchstick Ventures, and Craft Ventures Scout Fund participating, and individual backers include veteran regulated-industry executives such as Empower chief executive Edmund Murphy III.
| Id | Source | Tier | Accessed |
|---|---|---|---|
| f1 | Liminal: Secure Multi-Model AI Platform for Enterprises | official | 2026-07-03 |
| f2 | PR Newswire (Liminal announcement): Generative AI Safely Unlocked for Regulated Industries with Public Release of Liminal | press | 2026-07-03 |
| f3 | Tracxn: Liminal, 2026 Company Profile (aggregator total across 4 rounds, latest a Series A on Nov 06, 2025, amount undisclosed) | other | 2026-07-03 |
| f4 | Liminal (AI Defense Matrix Catalog) | other | 2026-07-03 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Liminal homepage (Hear from our customers: Justin Lahullier, CIO and CISO of Delta Dental of New Jersey/Connecticut; Chad Tharan, Northern Arizona Healthcare) “5x ROI is a conservative number... we're seeing a 5x time improvement, and in many cases it's higher than that.” | official | 2026-07-03 |
| s2 | Liminal platform page (OpenAI, Anthropic, Perplexity, Google; enterprise search; single-tenant architecture; desktop app, browser extension, custom assistants) “Cleanse and protect sensitive data prior to submission to any LLM, and rehydrate protected terms for a seamless experience.” | official | 2026-07-03 |
| s3 | PR Newswire (Liminal launch, Jan. 31, 2024): executives from Amazon Web Services and FIS; enterprise partners roster; Steven Walchek: say yes to generative AI “a separate study conducted by Liminal showed that 63% of employees would be comfortable sharing personal or proprietary corporate data with generative AI tools, regardless of company policy” | press | 2026-07-03 |
| s4 | PR Newswire (Liminal announcement, DENVER, June 5, 2024): seed round; investor Edmund Murphy III, CEO of Empower; 12,000 generative AI-enabled applications “they have added more than $5M in funding in an oversubscribed seed round led by Fin Capital, with participation from High Alpha, Matchstick Ventures, Craft Ventures Scout Fund, and veteran regulated industry executives” | press | 2026-07-03 |
| s5 | RegTech Analyst: RegTech leader Liminal raises $5m in seed round led by Fin Capital (June 06, 2024) “Liminal, a leader in horizontal GenAI data security, has announced the successful raising of more than $5m in an oversubscribed seed funding round.” | press | 2026-07-03 |
| s6 | Pulse 2.0: Liminal: Gen AI Data Security Company Raises $5 Million In Additional Seed Funding (by Amit Chowdhry, Jun 15, 2024) “Liminal, a generative AI data security leader, announced that it has raised more than $5 million in an oversubscribed seed round led by Fin Capital.” | press | 2026-07-03 |
| s7 | Telarus supplier listing: Liminal AI (middleware between the end user and all LLMs; SOC 2/Type 2 certification; granular company security policies) “Liminal is offered on a per user/per month basis at a more secure and more cost-effective price point than locking into an enterprise license with a single LLM provider.” | other | 2026-07-03 |
| s8 | Liminal Trust Center, agent-browser render (SOC 2 Type 2 2026 Report, Pentest 2025-08 Report; subprocessors AWS, Google Cloud Platform; updated June 01, 2026) “SOC 2 Type 2 2026 Report - Liminal” | official | 2026-07-03 |
| s9 | Liminal (AI Defense Matrix Catalog) “GenAI data-protection gateway that intercepts prompts to any model, detects PII, PHI, and IP, masks or redacts it before the prompt leaves, and rehydrates protected terms in responses.” | other | 2026-07-03 |
| s10 | Tracxn: Liminal, 2026 Company Profile (latest funding a Series A, Nov 06, 2025, amount undisclosed; Denver, United States; 25 employees as of May 31, 2026) “Total Funding $17M in 4 rounds” | other | 2026-07-03 |
| s11 | Liminal Privacy Policy (operated by Liminal AI, Inc.) “Welcome to the Liminal site and mobile app, operated by Liminal AI, Inc.” | official | 2026-07-03 |
| s12 | Liminal Partner Program page (referral, reseller, and technology partnerships; footer compliance: HIPAA, SOC 2 Type 1 and 2, ISO 27001/HITRUST/NIST in progress) “Whether you want to sell, deploy, and/or support Liminal solutions through a referral partnership or a reseller engagement” | official | 2026-07-03 |
| s13 | Liminal case studies page (probe for named customers as of 2026-07-03: only foundational papers and ebooks, no named customer story) “Real-world applications and in-depth insights focusing on generative AI deployment and data security.” | official | 2026-07-03 |
| s14 | High Alpha news: Public Release of Liminal (roster of enterprise partners; healthcare, life sciences, public sector, education, financial services, insurance) “A team of prior executives from Amazon Web Services and FIS joined forces to build Liminal, a unique security platform allowing regulated enterprises to safely use generative AI, across every use case.” | other | 2026-07-03 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Liminal homepage (Hear from our customers: Justin Lahullier, CIO and CISO of Delta Dental of New Jersey/Connecticut; Chad Tharan, Northern Arizona Healthcare) “5x ROI is a conservative number... we're seeing a 5x time improvement, and in many cases it's higher than that.” | official | 2026-07-03 |
| s2 | Liminal platform page (OpenAI, Anthropic, Perplexity, Google models; single-tenant architecture; desktop application and browser extension; custom assistants) “Cleanse and protect sensitive data prior to submission to any LLM, and rehydrate protected terms for a seamless experience.” | official | 2026-07-03 |
| s3 | PR Newswire (Liminal launch, Jan. 31, 2024): executives from Amazon Web Services and FIS; enterprise partners roster; Steven Walchek: say yes to generative AI “a separate study conducted by Liminal showed that 63% of employees would be comfortable sharing personal or proprietary corporate data with generative AI tools, regardless of company policy” | press | 2026-07-03 |
| s4 | PR Newswire (Liminal announcement, DENVER, June 5, 2024): seed round; investor Edmund Murphy III, CEO of Empower; 12,000 generative AI-enabled applications “they have added more than $5M in funding in an oversubscribed seed round led by Fin Capital, with participation from High Alpha, Matchstick Ventures, Craft Ventures Scout Fund, and veteran regulated industry executives” | press | 2026-07-03 |
| s5 | RegTech Analyst: RegTech leader Liminal raises $5m in seed round led by Fin Capital (June 06, 2024) “Liminal, a leader in horizontal GenAI data security, has announced the successful raising of more than $5m in an oversubscribed seed funding round.” | press | 2026-07-03 |
| s6 | Pulse 2.0: Liminal: Gen AI Data Security Company Raises $5 Million In Additional Seed Funding (by Amit Chowdhry, Jun 15, 2024) “Liminal, a generative AI data security leader, announced that it has raised more than $5 million in an oversubscribed seed round led by Fin Capital.” | press | 2026-07-03 |
| s7 | Telarus supplier listing: Liminal AI (middleware between the end user and all LLMs; SOC 2/Type 2 certification; granular company security policies) “Liminal is offered on a per user/per month basis at a more secure and more cost-effective price point than locking into an enterprise license with a single LLM provider.” | other | 2026-07-03 |
| s8 | Liminal Trust Center, agent-browser render (SOC 2 Type 2 2026 Report, Pentest 2025-08 Report; subprocessors AWS, Google Cloud Platform; updated June 01, 2026) “SOC 2 Type 2 2026 Report - Liminal” | official | 2026-07-03 |
| s9 | Liminal (AI Defense Matrix Catalog) “GenAI data-protection gateway that intercepts prompts to any model, detects PII, PHI, and IP, masks or redacts it before the prompt leaves, and rehydrates protected terms in responses.” | other | 2026-07-03 |
| s10 | Tracxn: Liminal, 2026 Company Profile (latest funding a Series A, Nov 06, 2025, amount undisclosed; Denver, United States; 25 employees as of May 31, 2026) “Total Funding $17M in 4 rounds” | other | 2026-07-03 |
| s11 | Liminal Privacy Policy (operated by Liminal AI, Inc.) “Welcome to the Liminal site and mobile app, operated by Liminal AI, Inc.” | official | 2026-07-03 |
| s12 | Liminal Partner Program page (referral, reseller, and technology partnerships; footer compliance: HIPAA, SOC 2 Type 1 and 2, ISO 27001/HITRUST/NIST in progress) “Whether you want to sell, deploy, and/or support Liminal solutions through a referral partnership or a reseller engagement” | official | 2026-07-03 |
| s13 | Liminal case studies page (probe for named customers as of 2026-07-03: only foundational papers and ebooks, no named customer story) “Real-world applications and in-depth insights focusing on generative AI deployment and data security.” | official | 2026-07-03 |
| s14 | High Alpha news: Public Release of Liminal (roster of enterprise partners; healthcare, life sciences, public sector, education, financial services, insurance) “A team of prior executives from Amazon Web Services and FIS joined forces to build Liminal, a unique security platform allowing regulated enterprises to safely use generative AI, across every use case.” | other | 2026-07-03 |
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