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 management platform that closes the gap between finding security issues and fixing them, turning a flood of scanner findings into prioritized, assigned and tracked remediation work. Founded in 2020 in Tel Aviv by 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 participating.
The platform ingests findings from scanners and tools across code, cloud and infrastructure, such as Tenable, Qualys, Snyk, Aqua, GitHub and GitLab, then normalizes, deduplicates and enriches them into one view.
Four named agents do the work on top: the Context Agent weighs business relevance, the Strategy Agent turns backlogs into remediation plans grouped by root cause, the Validation Agent checks whether a finding is exploitable and reachable, and the Remediation Agent maps ownership and routes fix ready tasks with guidance into Jira, Slack and the tools teams already use.
Remediation queues, SLA rules and scope groups are configurable, and a public GraphQL API reads and writes findings, queues, tickets and rules, with US and UK regional instances.
Seemplicity reports removing a large share of scanner noise and faster remediation; those are its own figures. Its readable pages do not document an approval step before the agents act, an agent level audit trail, model providers or its own security attestation, and it publishes no pricing. For a security team buried in findings from many tools that needs to route and close real fixes across security, IT and DevOps, Seemplicity is built for that job; a small team with a single scanner 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
Agentic Index coverage score
8.5 / 14 capabilities · 61%
| Integrations & Tool Calling | Full |
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Named integrations across scanners and work tools (Tenable, Qualys, Snyk, Aqua, GitHub, GitLab, Jira, Slack, Datadog, Axonius and more), and the Remediation Agent acts in them, assigning owners and routing fix ready tickets into Jira and other tools. Sourceseemplicity.airead 2026-09-28 |
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| Workflow Orchestration | Full |
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Four agents hand work along, Context, Strategy, Validation and Remediation, and the buyer configures the flow they feed: remediation queues, SLA rules, scope groups and routing rules are all created and edited through the API. Sourcedevelopers.seemplicity.io/quickstartread 2026-09-28 |
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| Knowledge Grounding & RAG | Full |
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Findings from every connected tool are normalized, deduplicated and enriched into one queryable store, and the Context Agent applies the customer's business context, scope groups and asset value to each one; the store persists and is read through the API. Sourceseemplicity.airead 2026-09-28 |
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| Human Oversight & Guardrails | Partial |
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Fixes are routed to human owners who carry them out, and the buyer sets routing and SLA rules, which reserves the decisions to people and constrains the agents; no approval step before an agent action commits is documented. Sourceseemplicity.airead 2026-09-28 |
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| Security, Identity & Governance | Partial |
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The documentation portal signs in with SSO, API tokens are issued from platform settings, and scope groups set organizational boundaries. No attestation of Seemplicity's own is published (the homepage SOC 2 line is a customer's audit), and there is no public security page or trust center; product docs sit behind the login. Sourcedevelopers.seemplicity.io/quickstartread 2026-09-28 |
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| Observability & Auditability | Partial |
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Audit ready reporting and verifiable trails prove when remediation happened, which records the customer's fixes; no trace of what the agents did step by step is documented. Sourceseemplicity.airead 2026-09-28 |
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| Memory & State Persistence | Not documented |
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The persisted findings and remediation state is the product's data model, and no agent memory store with a scope or lifetime is documented. Sourcedevelopers.seemplicity.io/quickstartread 2026-09-28 |
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| Deployment & Data Residency | Full |
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The API documentation lists regional instances for the US and the UK beside the default production endpoint, so a customer is provisioned in a named region; no self hosted option is documented. Sourcedevelopers.seemplicity.io/quickstartread 2026-09-28 |
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| Prebuilt Agents, Templates & Packs | Full |
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Four named agents, each with its own job: the Context Agent weighs business relevance, the Strategy Agent turns backlogs into plans, the Validation Agent checks exploitability and reachability, and the Remediation Agent routes fixes with guidance. Sourceseemplicity.airead 2026-09-28 |
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| Triggers & Channel Coverage | Full |
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New findings arriving from connected scanners are normalized, prioritized and routed continuously, with no one asking, and SLA rules act on them. Sourceseemplicity.airead 2026-09-28 |
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| Model Flexibility & Routing | Not documented |
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The models behind the agents are not disclosed, and no model choice is offered. Sourceseemplicity.ai/platformread 2026-09-28 |
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| APIs, SDKs & MCP Extensibility | Full |
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A public GraphQL API at api.seemplicity.io/api/v1 with bearer JWT auth reads and writes findings, remediation queues, tickets, scope groups and SLA rules, documented on the developer site. Sourcedevelopers.seemplicity.io/quickstartread 2026-09-28 |
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| Testing, Debugging & Optimization | Not documented |
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The Validation Agent checks whether findings in the customer's environment are exploitable and reachable, which tests the estate rather than the agents; no harness, scored test cases or gate for a change to the agents is documented. Sourceseemplicity.airead 2026-09-28 |
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| Browser & Computer Use | Not documented |
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No page documents an agent driving a browser, desktop or remote computer; the agents act through integrations and ticket routing. Sourceseemplicity.airead 2026-09-28 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
Not public; quoted through enterprise sales and channel partners, scoped to environment size and finding volume
not published
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 four agents are included or priced separately is not disclosed.
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Alternatives to Seemplicity
The closest documented capability profiles to Seemplicity among security and SOC agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Vanta9.5 / 14Fuller documented coverage on Human Oversight & Guardrails and Security, Identity & Governance
- Cyware10.0 / 14Adds documented Testing, Debugging & Optimization
- Sprinto9.0 / 14Fuller documented coverage on Human Oversight & Guardrails and Security, Identity & Governance
- StrikeReady7.0 / 14A lighter documented profile than Seemplicity
- Anvilogic8.5 / 14Fuller documented coverage on Human Oversight & Guardrails and Security, Identity & Governance
- BlinkOps10.5 / 14Adds documented Memory & State Persistence
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded