Seemplicity
Agentic exposure action platform that turns security findings into prioritized, auto-routed, and tracked remediation fixes, with a suite of AI agents for security teams.
Seemplicity is an agentic exposure action platform that closes the gap between finding security issues and actually fixing them, turning a flood of vulnerability findings into prioritized, assigned, and tracked remediation work. Founded in 2020 in Tel Aviv by cybersecurity veterans Yoran Sirkis, Ravid Circus, and Rotem Cohen Gadol, the company raised a twenty six million dollar Series A in 2022 led by Glilot Capital Partners and a fifty million dollar Series B in August 2025 led by Sienna Venture Capital, with NTT Venture Capital and Glilot also participating. It reports an eight hundred percent jump in annual recurring revenue since its Series A, a tripling of its customer base, and processing more than one point five billion security findings a day across Fortune 500 customers.
The platform ingests and normalizes signals from dozens of scanners across code, cloud, and infrastructure into a single view, then cuts through the noise: it deduplicates and groups thousands of alerts into root cause fixes, so fifty alerts can collapse into one patch, verifies that a risk is actually reachable to kill false alarms, and weighs asset value against threat severity using each organization's business context. It claims to remove roughly ninety five percent of exposure noise so teams focus on the five percent that matters, then automatically maps ownership and routes fix ready tasks into the tools teams already use, with audit ready reporting on the other side.
In October 2025 Seemplicity made its AI Agent suite generally available: Remediation offers step by step, environment specific fix guidance, Insights turns dense dashboards into prioritized intelligence for leadership, Find the Fixer identifies the right owner, and Clarity answers exposure questions from live operational data, all while keeping human oversight. Customers report up to four times faster remediation and average savings near one point seven million dollars a year. For a security team buried in findings from many tools that needs to route and close real fixes fast across security, IT, and DevOps, Seemplicity is a strong option; a small team with a single scanner and light volume may not need a dedicated remediation platform.
Vendor details
Canonical URL
https://seemplicity.ai
Category
Security / SOC agent
Subcategory
Exposure management and remediation
Funding status
Independent, headquartered in Tel Aviv with US operations in Palo Alto, founded in 2020 by Yoran Sirkis, Ravid Circus, and Rotem Cohen Gadol. Raised a twenty six million dollar Series A in 2022 led by Glilot Capital Partners and a fifty million dollar Series B in August 2025 led by Sienna Venture Capital, with NTT Venture Capital and Glilot participating, for roughly seventy six million dollars in total. Reports an eight hundred percent increase in annual recurring revenue since its Series A, a tripling of customers, and processing more than one point five billion security findings daily for Fortune 500 companies.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Ingests and normalizes findings from dozens of security scanners across code, cloud, and infrastructure into a single view, and routes remediation work into the ticketing and workflow tools teams already use, such as issue trackers and IT service platforms. Automates ownership mapping, syncs updates bidirectionally, and produces audit ready reporting without changing how teams work.
In practice
Your scanners spit out tens of thousands of findings a week and your team cannot tell which ones actually matter. Seemplicity removes about ninety five percent of the noise, verifies what is truly reachable, and surfaces the five percent worth fixing.
Findings get detected but the fix stalls because no one knows who owns it. Seemplicity automatically maps ownership and routes fix ready tasks into the tools your teams already use, then tracks them to closure.
Fifty alerts are really one underlying problem, but your team treats them as fifty tickets. Seemplicity groups findings into root cause fixes, so a single patch resolves the whole cluster.
Sources & related URLs
Related / legacy domains
Research sources
Research notes
Added via Crunchbase agentic discovery CSV, enriched full fidelity 2026-07-07. Site is on both seemplicity.ai and seemplicity.io.
Capability coverage
10.0 / 14 capabilities · 71%
| Integrations & Tool CallingIngests findings from dozens of security scanners across code, cloud, and infrastructure and routes remediation into existing ticketing and workflow tools with bidirectional sync, Seemplicity docs 2026-07-07 | Full |
|---|---|
| Workflow OrchestrationOrchestrates the full remediation operations workflow, aggregating, prioritizing, routing to owners, tracking, and reporting, turning a backlog of findings into a plan of remediation projects, Seemplicity docs 2026-07-07 | Full |
| Knowledge Grounding & RAGApplies each organization's business context and external threat intelligence to every finding, grouping alerts into root cause fixes and giving contextual, explainable recommendations, Seemplicity docs 2026-07-07 | Full |
| Human Oversight & GuardrailsThe AI Agent suite gives security teams intelligent capabilities without losing human oversight, assigning accountable tasks to human owners rather than acting unchecked, Seemplicity docs 2026-07-07 | Full |
| Security, Identity & GovernanceThe product is a security exposure and vulnerability management platform in itself, reducing risk and producing audit ready, verifiable remediation trails, Seemplicity docs 2026-07-07 | Full |
| Observability & AuditabilityThe Insights and Clarity agents turn dense dashboards into prioritized intelligence and answer exposure questions from live operational data, with audit ready reporting and verifiable trails, Seemplicity docs 2026-07-07 | Full |
| Memory & State PersistencePersists a normalized findings and remediation state plus organizational business logic over time, but a distinct agent memory that learns per user is not documented, Seemplicity docs 2026-07-07 | Partial |
| Deployment & Data ResidencyDelivered as cloud SaaS, but on premise or explicit customer controlled residency options are not documented, Seemplicity docs 2026-07-07 | Partial |
| Prebuilt Agents, Templates & PacksShips a prebuilt suite of AI agents, Insights, Remediation, Find the Fixer, and Clarity, described as a specialized workforce of agentic teams available out of the box, Seemplicity docs 2026-07-07 | Full |
| Triggers & Channel CoverageRuns continuously, processing more than one point five billion findings a day and reacting at machine speed to new signals across code, cloud, and infrastructure, Seemplicity docs 2026-07-07 | Full |
| Model Flexibility & RoutingBuilt on its own AI native foundation and does not document customer choice of underlying model or routing across external model providers, Seemplicity docs 2026-07-07 | Unable to verify |
| APIs, SDKs & MCP ExtensibilityIntegrates deeply with scanners and workflow tools and is extended through channel partners, but a broad public developer SDK, API, or MCP surface is not documented as first class, Seemplicity docs 2026-07-07 | Partial |
| Testing, Debugging & OptimizationVerifies exploitability and reachability of findings to cut false alarms, a validation of results, but a dedicated agent testing, evaluation, or debugging surface is not documented, Seemplicity docs 2026-07-07 | Partial |
| Browser & Computer UseActs through integrations and automated ticket routing rather than driving a browser or operating a computer interface, Seemplicity docs 2026-07-07 | Unable to verify |
Pricing
Not public; quoted through enterprise sales and channel partners, scoped to environment size and finding volume
enterprise subscription scoped to assets, scanners, and finding volume
What is public
No list pricing. Seemplicity quotes through direct sales and partners, with no self serve tier.
Billing mechanics
Enterprise subscription sized to the environment, connected scanners, and remediation scope, sold directly and through MSSPs and resellers.
Cost watchouts
As more scanners and assets are connected and finding volume grows, subscription tier and cost can rise.
Variable cost rationale
Sold as an enterprise subscription scoped to the environment, connected scanners, and finding volume, so cost tends to rise as the number of assets and integrated tools grows.
Additional watchouts
With no public rate, confirm how pricing scales with connected tools, assets, and finding volume, and whether AI agents are a separate line item.
Sales call required
Yes — required for paid access
Free / trial
Demo on request; no public free tier
Key ambiguities
No public rate is published, and whether the AI Agent suite is included or priced separately is not disclosed.
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