Ciroos.ai
Who Is the Company Behind Ciroos.ai?
- Seller: Ciroos
- Year Founded: 2025
- HQ Location: Pleasanton, US
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LinkedIn® Page: www.linkedin.com
46 employees on LinkedIn®
Total Products under this Category: 52
Last updated: November 11, 2026
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Highlighted products: ServiceNow IT Operations Management, New Relic, Dynatrace, Rootly, Xurrent IMR, incident.io, Sherlocks.ai, and Resolve AI.
Underlying data: [Grid® JSON](https://www.g2.com/categories/ai-sre-tools/grids.json?focus%5B%5D=servicenow-it-operations-management&focus%5B%5D=new-relic&focus%5B%5D=dynatrace&focus%5B%5D=rootly&focus%5B%5D=xurrent-imr&focus%5B%5D=incident-io&focus%5B%5D=sherlocks-ai&focus%5B%5D=resolve-ai)
Cleric is an AI-powered Site Reliability Engineer (SRE) designed to autonomously manage, optimize, and heal software infrastructure. By integrating with existing tools and systems, Cleric learns from each interaction to improve its performance, aiming to free engineers from the toil of production operations and allowing them to focus on development and innovation.
Deductive AI is an applied AI research lab that develops AGI to make software systems self-healing.
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Deeptrace is a cybersecurity company specializing in the detection and mitigation of deepfake content. Utilizing advanced artificial intelligence and machine learning algorithms, Deeptrace offers solutions that identify and analyze manipulated media, ensuring the authenticity and integrity of digital content. Their technology is designed to protect individuals, organizations, and platforms from the risks associated with synthetic media, such as misinformation, reputational damage, and security threats. Key Features and Functionality: - Deepfake Detection: Employs cutting-edge AI models to detect and flag deepfake videos, images, and audio recordings with high accuracy. - Real-Time Analysis: Provides immediate analysis and reporting on the authenticity of digital content, enabling swift response to potential threats. - Comprehensive Coverage: Supports a wide range of media formats and platforms, ensuring thorough protection across various digital channels. - User-Friendly Interface: Offers an intuitive dashboard for monitoring and managing detected content, making it accessible for users with varying technical expertise. - Continuous Learning: Regularly updates its detection algorithms to adapt to evolving deepfake techniques and emerging threats. Primary Value and User Solutions: Deeptrace addresses the growing concern of deepfake technology by providing robust tools to detect and prevent the spread of manipulated media. For businesses, it safeguards brand reputation and ensures the credibility of their communications. Media organizations benefit from maintaining journalistic integrity by verifying the authenticity of their content. Social media platforms can protect their users from misinformation and harmful content. Overall, Deeptrace empowers users to trust the digital information they consume and share, fostering a more secure and reliable online environment.
AI-powered error log analysis: instant root cause, code fixes, SQL debug, and 20+ integrations. ErrorLens is an AI-powered error intelligence platform that turns raw error logs into root causes, code fixes, and instant alerts — in seconds. No SDK, no agent, no setup required.
Hawkeye by NeuBird is the first AI SRE Agent that autonomously diagnoses and resolves incidents in real-time, helping SRE and DevOps teams reduce MTTR up to 90%. With secure connections to your existing app stack, Hawkeye analyzes telemetry data across your multi-cloud, hybrid-cloud, and on-prem environments with AI precision, and AI speed. With Hawkeye, organizations no longer have to suffer through 3 AM bridge calls trying to pinpoint and diagnose complex incidents. Hawkeye automatically picks up alerts, diagnoses issues in real time, and provides actionable resolution—boosting SLAs and freeing engineers to focus on design and innovation. Hawkeye supports AWS, Microsoft Azure and GCP along with dozens of integrations into services ranging from Amazon CloudWatch to SnowFlake, MongoDB, and Prometheus.
IncidentFox is an AI-powered on-call and incident management platform built for modern engineering teams. It helps teams detect, investigate, and resolve production incidents faster by acting as an AI SRE that works directly inside Slack. IncidentFox connects to your observability and infrastructure stack to continuously analyze alerts, metrics, logs, and operational signals. During incidents, it automatically correlates data across systems, surfaces likely root causes, and provides actionable guidance so engineers can focus on fixing issues instead of hunting for context. The platform is designed to reduce alert fatigue and on-call burnout by cutting through noisy alerts and highlighting what actually matters. By learning from historical incidents, postmortems, and resolution patterns, IncidentFox improves over time and delivers increasingly accurate insights with every incident. IncidentFox is Slack-first by design, enabling incident triage, collaboration, investigation, and follow-ups without context switching. It integrates with common tools in modern production environments, including monitoring, logging, data, and workflow systems, making it easy to adopt without changing existing processes. IncidentFox is built for SRE, DevOps, platform, and infrastructure teams operating cloud-native systems at scale. It is especially well-suited for fast-growing engineering organizations that want to improve reliability, lower MTTR, and scale operations without adding more on-call burden. In short, IncidentFox helps teams move from reactive incident response to intelligent, AI-assisted operations, turning incidents into learning opportunities and improving system reliability over time.
KaudDoc is a developer-focused documentation platform that helps teams create, organize, and maintain technical documentation from their codebase. It helps developers understand projects faster, turn code and project knowledge into structured documentation, and reduce the time spent manually writing and updating technical docs.
NOFire finds the change that broke production, and shows you the proof. It is built on a live, self-building map of everything running in production and every change in it, so anyone on your team can find what broke, not just the one person who knows the system. The same map shows what your AI agents changed, too. For platform and SRE teams: find the change that broke it. When an incident lands, NOFire shows the change behind it, its blast radius and its owner, with every conclusion linked to the exact deploy, log line or trace it came from, in your own tools. No more "did anyone deploy?" in the incident channel. Every incident feeds the map, so the next one starts with more context. For security teams and teams putting AI agents into production: prove exactly what your agents did. NOFire keeps an independent, signed record of every command, file and call an agent makes, captured outside the agent and delivered into your own SIEM. A log the agent wrote is not evidence. For agent features that run someone else's code, brig, our open-source isolation release, runs each skill in its own hardware-isolated microVM with no standing credentials, allowlisted egress, nothing surviving teardown, and a signed record of what it actually ran. What makes it different - Every claim is a link. Click any conclusion and see the exact deploy, log line or trace it came from. - The map builds itself, dated and sourced. Every service, owner and dependency comes from what actually runs, not from what a YAML file declares. It is time-versioned, so you can ask what was true at 03:14. Ownership is derived automatically, can be overridden, and is flagged when it goes stale. - Agents get the same record as humans. - We show you where you are blind. Coverage sits next to every finding. "No signal here yet" is an answer, not a gap we hide. Proof you can check: 89% root-cause accuracy on our own published benchmark, with the methodology and the failures included, rerunnable by anyone. The isolation layer is urunc, a CNCF Sandbox project created by the NOFire team. Connects to what you already run. Observability: Grafana, Prometheus, Datadog, Coralogix, Loki, Tempo, Elasticsearch, OpenSearch, Honeycomb, New Relic, Splunk, Sentry. Incident management: PagerDuty, Grafana IRM. Code and CI/CD: GitHub Actions, GitLab. Infrastructure: Kubernetes, AWS, CloudWatch, Google Cloud. Databases: MongoDB Atlas, PostgreSQL. Code agents: Cursor, Claude Code. Collaboration: Slack, Microsoft Teams. Project tracking: Linear, Confluence, Atlassian. Plus CLI, MCP and custom HTTP. Read-only and scoped, with no change to your application code. Security and deployment. SOC 2 Type II. GDPR and UK GDPR with a standard DPA, SCCs, a published sub-processor list, and EU or UK data residency. SAML SSO with Okta, Google, Azure AD, Auth0, OneLogin and Ping, SCIM provisioning, and roles mapped from your IdP groups. TLS 1.3 in transit, AES-256 at rest, customer-managed keys on Enterprise. PII is redacted before anything reaches a model. Enterprise never trains on your data by default, and Team can add a zero-training option. Run it as SaaS in a US or EU region, or inside your own VPC via Terraform or Helm, where your data never leaves your network. AvHow you buy it. Starter is $0, free forever: connect read-only, see your map in your first session, 500 credits a month, no credit card. Team is $2,000 a month, billed annually and sized to your production, with 10,000 credits a month, all integrations and SSO. Enterprise is a custom annual commit with BYOC, BYOK and dedicated FDE capacity, also through AWS Marketplace. Every plan has unlimited seats for humans and agents.ing at nofire.ai/get-pricing. Who it is for. Teams where engineers own production directly, typically 200 to 2,000 employees, and enterprise divisions that work the same way. Highest urgency in ecommerce and iGaming, banks and fintech, and edtech.
NudgeBee is an AI Agents and Agentic Workflow Platform purpose-built for SRE, CloudOps, and DevOps teams. It ships with pre-built AI assistants for incident triage, root cause analysis, FinOps cost optimization, and Kubernetes reliability, ready on day one, with no data ingestion. Teams can also build custom agentic workflows visually, without managing LLMs, guardrails, or audit infrastructure. Deploy in VPC or SaaS. Bring your own model (OpenAI, Claude, Gemini, AWS Bedrock, Ollama). Human-in-the-loop by design. SOC2 Type 2 and ISO 27001 certified. Works with Datadog, Grafana, PagerDuty, Prometheus, Jira, Slack, no rip and replace.