Ciroos

Ciroos (pronounced "Sai-rose") offers an AI SRE teammate that empowers site reliability engineers (SREs), DevOps and operations teams to be superheroes. Built from the ground up with the power of multi-agentic AI, Ciroos enables operations teams to reduce toil, investigate incidents, explain anomalies, and drive autonomous operations, across complex multi-domain environments, all while leaving humans in control. Reach out to us at www.ciroos.ai to learn more about what an AI SRE Teammate can do for you.

Agent Infrastructure

Visit Website

Founded

2025

Location

Pleasanton, California

Employees

Funding

$21M Seed (2025)

Ciroos — Your AI SRE Teammate

Ciroos builds an AI SRE Teammate that helps SRE, DevOps, and IT operations teams reduce toil, detect anomalies early, and accelerate incident investigations. It uses a multi-agent architecture to reason across signals and collaborate with humans via your existing tools, emphasizing explainability, guardrails, and human-in-the-loop control. Learn more on the [homepage](https://ciroos.ai/).

Core positioning: **agentic AI for operations** across observability, incident response, and ITSM

Operating modes: **Assist**, **Automate**, and **Autopilot** (with explainable actions and approvals)

Collaboration-first: Onboards via Slack and integrates with your ops stack

Status: Emerged from stealth with a $21M raise led by Energy Impact Partners

Explore the product demo and videos: [videos hub](https://ciroos.ai/videos) and [SRE Teammate demo](https://ciroos.ai/videos/ciroos-ai-sre-teammate-demo). Product intro: [launch blog](https://ciroos.ai/blogs/launching-ciroos-ai-your-ai-sre-teammate). FAQs: [FAQ](https://ciroos.ai/faq).

---

What Ciroos Does

Multi-agent reasoning across logs, metrics, traces, changes, and incidents to build and iterate on investigation plans

Early anomaly detection and cross-signal correlation with narrative explanations of “what changed” and “why it matters”

Real-time noise reduction and summarization in Slack during live incidents

Guided remediation orchestration using your existing automation and ITSM tooling

Post-incident analysis and knowledge capture to improve MTTR and on-call readiness

Modes of operation:

Assist: human-led, AI-guided summaries, queries, and next steps

Automate: pre-approved tasks with guardrails

Autopilot: AI executes playbooks end-to-end where trust is established

---

Who It’s For

SRE and DevOps teams supporting distributed systems at scale

Platform and Observability teams needing cross-domain correlation

Incident Commanders and on-call engineers in high-throughput environments

IT Operations teams orchestrating triage, change, and remediation

Details: [homepage](https://ciroos.ai/), [FAQ](https://ciroos.ai/faq)

---

Key Use Cases

Early anomaly detection with narrative explainability

Investigation planning with correlated signals and suggested next steps

Slack-based incident summarization and noise reduction

Automated remediation via existing tools and approvals

Post-incident reviews and knowledge capture to speed future response

---

Integrations and Environment

Collaboration: Slack onboarding shown in product demo

Interoperability: Designed to plug into your observability, incident response, and ITSM stack; specific connectors not publicly listed

To confirm vendor compatibility and scope, request a demo: [request a demo](https://ciroos.ai/)

---

Proof Points and Market Signals

Launch and funding: $21M led by Energy Impact Partners; emerged from stealth in 2025

Reviews: No public reviews yet on G2 —consistent with a recent launch

Public pricing: Not listed; site routes to demo

Adjacent community sentiment on AI in SRE/DevOps:

Pros: Effective for incident summaries, noise reduction, and speeding early investigations with good guardrails

Cons: Skepticism without clean telemetry and ownership boundaries; need for seasoned human oversight in high-risk ops; generic results if runbooks/alerts are weak

---

Leadership and Company

Founders: Ronak Desai (CEO), Amit Patel (CTO/VP Engineering), Ananda Rajagopal (CPO) — alumni of Cisco AppDynamics and Gigamon

HQ: Pleasanton, California

Team size: 11–50; ~3.6K LinkedIn followers

Learn more: [About Ciroos](https://ciroos.ai/about-us), [LinkedIn](https://www.linkedin.com/company/ciroos)

---

Competitive Landscape (context only)

Incident response and AIOps: PagerDuty AIOps, Opsgenie, FireHydrant, Rootly, Blameless, Squadcast, BigPanda, Moogsoft

Observability with AI: Dynatrace Davis AI, Datadog Bits AI, New Relic, Grafana IRM

SRE automation: Shoreline

Use this list for market framing; verify overlap and integration details during evaluation.

---

What’s Unclear or Not Public Yet

Specific integration catalog and certifications

Pricing tiers and commercial model

Customer case studies, logos, and quantitative impact (e.g., MTTR/toil reduction)

For details, request a demo: [contact Ciroos](https://ciroos.ai/).

---

Evaluation Checklist for Teams

Data readiness: Are logs, metrics, traces, alerts, and change feeds clean and well-labeled?

Guardrails: Do you have clear ownership boundaries and approval workflows?

Runbooks: Are there automations/playbooks Ciroos can execute or propose safely?

Integrations: Confirm coverage for observability, paging, CI/CD, ITSM, and chat tools

Governance: Ensure explainability, audit trails, and RBAC meet your compliance needs

Pilot: Define success metrics (MTTR, alert noise, on-call hours, remediation success rate)

---

Get Started

Watch the product walkthrough: [SRE Teammate demo](https://ciroos.ai/videos/ciroos-ai-sre-teammate-demo)

Read the introduction: [launch blog](https://ciroos.ai/blogs/launching-ciroos-ai-your-ai-sre-teammate)

Talk to the team: [request a demo](https://ciroos.ai/)

Additional resources: [Homepage](https://ciroos.ai/), [FAQ](https://ciroos.ai/faq), [Videos](https://ciroos.ai/videos), [Press](https://ciroos.ai/news/ciroos-ai-raises-21m-to-bring-agentic-ai-to-operations-teams).

Related Companies

Arcade

Baseten

Inference is everything. Baseten is an AI infrastructure platform giving you the tooling, expertise, and hardware needed to bring great AI products to market - fast. Our proprietary Inference Stack utilizes the cutting-edge of performance research combined with highly performant and reliable infrastructure to give you out-of-the-box global availability with 99.99% of uptime.

Cast AI

Increase your profit margin without additional work. CAST AI cuts your cloud bill in half, automates DevOps tasks, and prevents downtime in one Autonomous Kubernetes platform.

Context.ai

Context is the first AI Office Suite that automates your workflow by creating documents, presentations, spreadsheets, and more using your data, tools, and style.

Databricks Mosaic AI

Databricks is the Data and AI company. More than 15,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).

Featureform

Featureform makes it easier for developers to deliver the right data, at the right time, for the next generation of intelligent systems. Our open-source products, Featureform and EnrichMCP, give teams the tools to build and serve structured data for machine learning and unlock that same data for AI agents through a semantic layer.