Skip to main content

Cleric

Category: AI Agents

An autonomous AI Site Reliability Engineer (SRE) that investigates, diagnoses, and helps resolve production issues in complex cloud-native environments 24/7. Cleric was founded in 2023. The company is led by Shahram Anver. Based in San Francisco, USA. Team size: 17. Total funding raised: $9.8M. Latest round: Seed round (December 2025). Key investors include ["Vertex Ventures US","Zetta Venture Partners"].

Founded
2023
Headquarters
San Francisco, USA
Team size
17
Total funding
$9.8M

Value proposition

Autonomously triages thousands of alerts 24/7, diagnosing root causes within minutes, freeing on-call engineers from tedious investigations while continuously learning from incidents to improve over time

Products and solutions

["Autonomous AI SRE agent for real-time alert triage and root cause analysis","Multi-data source integration (code, logs, metrics, documentation)","Slack and web interface delivery with confidence scores and traceable evidence","Continuous learning system from incidents and human feedback","24/7 autonomous operation with judgment capabilities"]

Unique value

First fully autonomous AI SRE that replicates senior engineer reasoning by correlating across logs, metrics, configurations, and code context autonomously, not just monitoring but actively investigating and diagnosing production issues

Target customer

Engineering teams managing large-scale, complex infrastructure—especially those facing challenges with production alert triaging and on-call duties in cloud-native and Kubernetes-based environments

Industries served

["Technology/SaaS","Finance","E-commerce","Cloud-native infrastructure companies"]

Technology advantage

Combines continuous self-learning AI with deep integration of heterogeneous data types, autonomous 24/7 operation triaging thousands of alerts simultaneously, and AI-driven hypothesis generation with native integrations to popular observability tools

How they differentiate

First autonomous AI SRE that independently investigates and diagnoses issues without human oversight, forming hypotheses and running real-time queries with integrated monitoring tools

Main competitors

["Shoreline","InsightFinder","Blue Matador","Neubird","Resolve","ControlMonkey"]

Key partnerships

["Vertex Ventures US (lead investor)","Zetta Venture Partners (co-lead investor)","AI infrastructure angels from Google Cloud, Sysdig, Tecton, and Neo4J","Observability and infrastructure platform integrations (Datadog, Grafana, Prometheus, PagerDuty, Slack)"]

Notable customers

["BlaBlaCar (case study available)"]

Major milestones

["Secured $9.8M total seed funding led by Vertex Ventures US and Zetta Venture Partners","Named Gartner Cool Vendor 2025 in AI for SRE and Observability","Launched first autonomous AI site reliability engineer","Achieves 2-minute investigation time for complex issues vs 15-20 minutes manually","Expanded team to 17 employees","Active customer deployments with measurable ROI"]

Growth metrics

Reduces engineers' on-call workload by 20-30% within first month of deployment; 2-minute investigation time for complex issues vs 15-20 minutes manually

Market positioning

First AI for application teams that works autonomously like a senior SRE, handling 20-30% of on-call responsibilities within the first month

Geographic focus

North America and Europe, with strong presence in U.S. market

Patents and IP

No specific patents disclosed as of latest update

About Shahram Anver

Led Gojek's ML platform (model serving, feature store and experimentation), Container Deployment and FinOps as Head of Engineering for MLOps, DevOps, and FinOps platforms

Official website: