Airrived
Also known as: Agentic OS
Agentic OS that unifies SOC, GRC, IAM, vulnerability management, IT, and business operations under one agent layer, letting teams fine tune third party LLMs and compose deep reasoning agents.
Airrived is an enterprise agentic AI company whose flagship product, the Agentic OS, aims to be an operating layer for AI agents across cybersecurity, IT, and business operations rather than an AI feature bolted onto legacy tools. Founded in 2024 in Dublin, California and led by co founder and chief executive Anurag Gurtu, it emerged from stealth in February 2026 with six point one million dollars in seed funding led by Cannage Capital, with Plug and Play Ventures, Rebellion Ventures, and Inner Loop Capital, plus cybersecurity angel investors. Despite its early stage, it has been named a Gartner Tech Innovator in agentic AI twice and reports production deployments at a Fortune 150 insurer, a global bank, a major telecom, and a large restaurant chain.
The pitch is that most enterprise AI today only summarizes, leaving people to stitch tools together, whereas Airrived lets organizations fine tune third party large language models, compose deep reasoning agents, and orchestrate them across systems without deep AI engineering expertise. The Agentic OS unifies security operations, governance risk and compliance, identity and access management, vulnerability management, IT, and business operations under one system, with every agent constrained to operate within defined rules. Agents are meant to reason end to end, take action across tools such as isolating a compromised system or patching a vulnerability, and improve over time, with governance and production reliability as first order goals.
As a recently launched seed company, Airrived is early, and its broad, horizontal ambition means specifics on observability, memory, deployment, and developer interfaces are still thin, though a sovereign cloud partnership in Qatar hints at residency options for regulated sectors. Its genuine differentiators are model flexibility, letting teams bring and fine tune their own LLMs, and a governance first design across multiple security and IT domains. For an enterprise that wants a single agentic layer to run reasoning and action across security and IT rather than assembling point tools, Airrived is an ambitious early option; a team needing a proven, narrowly scoped tool today may prefer a more established specialist.
Vendor details
Canonical URL
https://airrived.ai
Category
Security / SOC agent
Subcategory
Agentic OS for security and IT operations
Funding status
Independent, headquartered in Dublin, California, founded in 2024 and led by co founder and chief executive Anurag Gurtu. Emerged from stealth in February 2026 with six point one million dollars in seed funding led by Cannage Capital, with participation from Plug and Play Ventures, Rebellion Ventures, and Inner Loop Capital, plus strategic angel investment from cybersecurity veterans Manoj Apte, Mahendra Ramsinghani, and Saqib Awan. Named a Gartner Tech Innovator in agentic AI twice, and reports production deployments at a Fortune 150 insurance company, a global bank, a major telecom infrastructure company, and a large fast casual restaurant chain.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
The Agentic OS orchestrates agents across enterprise systems and tools, unifying security operations, governance risk and compliance, identity and access management, vulnerability management, IT, and business operations under one layer. It lets teams fine tune third party large language models and compose deep reasoning agents that act across connected systems, though specific connectors and developer interfaces are not yet publicly detailed.
In practice
Your security and IT teams run a dozen disconnected tools and people are the glue holding workflows together. Airrived's Agentic OS unifies SOC, GRC, IAM, and IT so agents reason and act across them from one layer.
You want AI agents that decide and act, not just summarize alerts. Airrived's deep reasoning agents can isolate a compromised system, prioritize a vulnerability, or resolve an IT issue within defined rules.
You need to use your own fine tuned models and keep agents governed. Airrived lets you fine tune third party LLMs and compose agents that operate within guardrails across your enterprise.
Sources & related URLs
Research sources
Research notes
Added via Crunchbase agentic discovery CSV, enriched full fidelity 2026-07-07. Product is Agentic OS. Seed stealth exit Feb 2026; confidence medium given early stage despite strong external validation.
Capability coverage
10.0 / 14 capabilities · 71%
| Integrations & Tool CallingThe Agentic OS orchestrates agents across enterprise systems and tools, taking actions like isolating compromised systems and patching vulnerabilities across SOC, IAM, and IT, Airrived docs 2026-07-07 | Full |
|---|---|
| Workflow OrchestrationComposes and orchestrates deep reasoning agents across systems, unifying SOC, GRC, IAM, vulnerability management, IT, and business operations to reason and act end to end, Airrived docs 2026-07-07 | Full |
| Knowledge Grounding & RAGBuilds deep reasoning agents that understand context and reason across systems rather than only summarize, grounding decisions in enterprise data across domains, Airrived docs 2026-07-07 | Full |
| Human Oversight & GuardrailsEvery agent is constrained to operate within defined rules, with governance built in as a first order goal across the platform, Airrived docs 2026-07-07 | Full |
| Security, Identity & GovernancePurpose built around cybersecurity, unifying SOC, GRC, IAM, and vulnerability management, with governance and compliance as central design goals, Airrived docs 2026-07-07 | Full |
| Observability & AuditabilityEmphasizes governance and compliance which imply monitoring, but a dedicated agent observability and audit surface is not explicitly documented at this early stage, Airrived docs 2026-07-07 | Partial |
| Memory & State PersistenceAgents are said to continuously improve over time, implying retained learning, but a distinct persistent memory system is not detailed, Airrived docs 2026-07-07 | Partial |
| Deployment & Data ResidencyA sovereign cloud partnership in Qatar hints at residency options for regulated sectors, but general on premise or residency deployment options are not fully documented, Airrived docs 2026-07-07 | Partial |
| Prebuilt Agents, Templates & PacksProvides a platform to compose agents across SOC, GRC, IAM, and IT domains, but it is primarily a build and compose platform and a documented library of prebuilt packs is limited, Airrived docs 2026-07-07 | Partial |
| Triggers & Channel CoverageAgents act proactively and autonomously in real time, detecting threats and taking action across security and IT rather than waiting for manual prompts, Airrived docs 2026-07-07 | Full |
| Model Flexibility & RoutingLets organizations fine tune third party large language models and compose agents on top of them, giving explicit model flexibility rather than a single fixed model, Airrived docs 2026-07-07 | Full |
| APIs, SDKs & MCP ExtensibilityPositioned as a composable platform to build and deploy agents, but a public developer SDK, API, or MCP surface is not explicitly documented at this early stage, Airrived docs 2026-07-07 | Partial |
| Testing, Debugging & OptimizationDescribes agents as built for production that improve over time, but a dedicated agent testing, evaluation, or debugging surface is not documented, Airrived docs 2026-07-07 | Partial |
| Browser & Computer UseActs across enterprise systems through integrations rather than driving a browser or operating a computer interface, Airrived docs 2026-07-07 | Unable to verify |
Pricing
Not public; enterprise pricing quoted through sales
enterprise subscription scoped to domains, agents, and usage
What is public
No list pricing. Airrived quotes through enterprise sales, with no self serve tier at this early stage.
Billing mechanics
Presumed enterprise subscription scoped to the domains covered, agents run, and model usage, though not disclosed.
Cost watchouts
Fine tuning and running large language models across many agents can add model and compute cost on top of the platform subscription.
Variable cost rationale
As a platform that fine tunes and runs large language models across many agents and domains, underlying model and compute usage can move total cost, so heavy agent activity may raise spend on top of the base subscription.
Additional watchouts
As a young, broad platform, confirm which domains and agents are production ready for your use case, how governance is enforced, and how model and compute usage is priced.
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 the pricing model is undisclosed at this early stage.
Related vendors
- 7AI — Swarming agentic SOC from the Cybereason founders: sixty plus domain…
- CrowdStrike — Cybersecurity platform whose Charlotte AI delivers agentic…
- depthfirst — AI security platform that detects, triages, and remediates software…
- Dropzone AI — Production proven AI SOC analyst that investigates every alert in…
- Exaforce — AI SOC platform unifying Exabots agents with an integrated knowledge…
- Kai — Agentic AI cybersecurity platform that unifies threat intelligence,…