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.
A company that sells accountability for AI is asking buyers to take its own results on faith. Singulr AI sells a control plane that finds the AI services and agents running across a company, scores their risk, and enforces policy on how agents behave. Its founders sold their last company, the network-security firm Arkin Net, to VMware, a rare matched-domain credential for a young vendor, and Dell and Nexus backed a ten million dollar seed. The gap a buyer should weigh is between pitch and proof: homepage demand statistics mix external 2025 studies with Singulr's own counts, and its testimonials lack dated case studies and verifiable outcomes a skeptical buyer can check. The agent-governance depth, not the shadow-AI discovery rivals now ship too, is what would make it hard to displace.
| Description | Singulr AI sells an enterprise AI and agentic control plane that continuously discovers the AI services, homegrown LLM applications, and autonomous agents in use across an organization, scores their risk, and enforces governance policy on AI usage and agent runtime behavior. | [f1] |
|---|---|---|
| Founded | 2023 | [f2] |
| HQ | Palo Alto, California, US | [f3] |
| Funding | $10M total | [f3] |
| Latest funding | Seed ($10M, February 2025) | [f3] |
| Product | What it does |
|---|---|
| Agent Pulse | Live inventory of every AI agent with a risk score and enforceable controls, plus policy by agent type, data sensitivity, and tool access, and auditable records of agent actions and data access. |
| AI Control Plane | Discovers AI in use across homegrown LLM apps, public AI services, and embedded SaaS AI, surfaces sensitive data and user activity, and lets teams approve safe services and block risky ones. |
| AI Risk & Compliance | Authors and operationalizes AI policy in one place, maps agentic dependencies, validates dataset licensing, and runs continuous AI red teaming against OWASP LLM Top 10, NIST, and MITRE scenarios. |
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. |
Singulr discovers AI agents and services in use, scores their risk, enforces runtime policy on agent behavior, and surfaces sensitive data in AI usage, so the platform defends the enterprise's AI estate and is 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 |
|---|---|
| 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. | 3/5 |
| 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. | 4/5 |
| 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. | 3/5 |
| 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. | 2/5 |
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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.
pivot urgently
| 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. | 1/3 |
| 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.
One-time purchase: $20 per profile.
UnlockReading several? Unlock the entire catalog.
| Id | Source | Tier | Accessed |
|---|---|---|---|
| f1 | Singulr AI homepage | official | 2026-06-21 |
| f2 | Singulr AI launch announcement (PR Newswire, February 18 2025) | official | 2026-06-21 |
| f3 | SecurityWeek: Singulr Launches With $10M in Funding for AI Security and Governance Platform | press | 2026-06-21 |
| f4 | Singulr Agent Pulse product page | official | 2026-06-21 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Singulr AI homepage “The Enterprise AI and Agentic Control Plane that closes the gap between AI policy and runtime reality.” | official | 2026-06-21 |
| s2 | Singulr AI homepage core capabilities “Map agentic dependencies, validate dataset licensing, and track risk records across their full lifecycle. Application-aware AI red teaming runs continuously against OWASP LLM Top 10, NIST, and MITRE scenarios, built into CI/CD, not bolted on after deployment.” | official | 2026-06-21 |
| s3 | Singulr Agent Pulse product page “Agent Pulse gives you a live inventory of every agent, their risk score, and enforceable controls so you can ensure that agents are working within your acceptable AI use boundaries.” | official | 2026-06-21 |
| s4 | Singulr AI launch announcement (PR Newswire, February 18 2025) “Singulr AI launched today with the general availability of its enterprise AI governance and security platform, already deployed across companies in the technology, finance, and healthcare sectors.” | official | 2026-06-21 |
| s5 | Singulr AI launch demand evidence “In live customer environments, Singulr consistently discovers 500+ unique AI services and models in use, with many of them redundant. Over three out of four employees use unapproved Shadow AI tools, often linked to personal accounts that expose enterprise IP.” | official | 2026-06-21 |
| s6 | SecurityWeek: Singulr Launches With $10M in Funding for AI Security and Governance Platform “Singulr AI was founded by Shiv Agarwal and Abhijit Sharma, who previously co-founded Arkin Net, a network virtualization and security firm that was acquired by VMware. The company has raised $10 million in seed funding from Nexus Venture Partners, Dell Technologies Capital and industry executives.” | press | 2026-06-21 |
| s7 | SecurityWeek: Singulr platform capabilities and offices “With offices in Palo Alto, California, and Pune, India. The platform enables customers to discover every generative AI and obtain information on its use within the organization, identify risky AI services, approve safe AI services, and enforce policies and rules regarding the use of AI.” | press | 2026-06-21 |
| s8 | About Singulr company page certifications “CERTIFICATIONS ISO/IEC 27001:2022 AICPA SOC. Health Insurance Portability and Accountability Act. General Data Protection Regulation.” | official | 2026-06-21 |
| s9 | Olakai homepage (cited competitor) | other | 2026-06-21 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Singulr AI homepage “The Enterprise AI and Agentic Control Plane that closes the gap between AI policy and runtime reality.” | official | 2026-06-21 |
| s2 | Singulr AI homepage core capabilities “Map agentic dependencies, validate dataset licensing, and track risk records across their full lifecycle. Application-aware AI red teaming runs continuously against OWASP LLM Top 10, NIST, and MITRE scenarios, built into CI/CD, not bolted on after deployment.” | official | 2026-06-21 |
| s3 | Singulr Agent Pulse product page “Agent Pulse gives you a live inventory of every agent, their risk score, and enforceable controls so you can ensure that agents are working within your acceptable AI use boundaries.” | official | 2026-06-21 |
| s4 | Singulr Agent Pulse governance “Define enforceable policies based on agent type, data sensitivity, tool access, and scope. Track agent configuration and run time drift.” | official | 2026-06-21 |
| s5 | Singulr AI launch announcement (PR Newswire, February 18 2025) “Singulr AI launched today with the general availability of its enterprise AI governance and security platform, already deployed across companies in the technology, finance, and healthcare sectors.” | official | 2026-06-21 |
| s6 | Singulr AI launch announcement demand evidence “In live customer environments, Singulr consistently discovers 500+ unique AI services and models in use, with many of them redundant. Over three out of four employees use unapproved Shadow AI tools, often linked to personal accounts that expose enterprise IP.” | official | 2026-06-21 |
| s7 | SecurityWeek: Singulr Launches With $10M in Funding for AI Security and Governance Platform “Singulr AI was founded by Shiv Agarwal and Abhijit Sharma, who previously co-founded Arkin Net, a network virtualization and security firm that was acquired by VMware. The company has raised $10 million in seed funding from Nexus Venture Partners, Dell Technologies Capital and industry executives.” | press | 2026-06-21 |
| s8 | SecurityWeek: Singulr platform capabilities and offices “With offices in Palo Alto, California, and Pune, India. The platform enables customers to discover every generative AI and obtain information on its use within the organization, identify risky AI services, approve safe AI services, and enforce policies and rules regarding the use of AI.” | press | 2026-06-21 |
| s9 | Singulr Agent Pulse compliance records “Agent Pulse provides auditable records of agent actions, data access, and policy enforcement for internal requirements and industry-specific regulations.” | official | 2026-06-21 |
| s10 | About Singulr company page certifications “CERTIFICATIONS ISO/IEC 27001:2022 AICPA SOC. Health Insurance Portability and Accountability Act. General Data Protection Regulation.” | official | 2026-06-21 |
| s11 | Singulr AI Control Plane product page | official | 2026-06-21 |
| s12 | Olakai homepage (cited competitor) | other | 2026-06-21 |
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