Startup profile · funding coverage
Cleric funding, valuation and investors
AI SRE agent for investigating production alerts, collecting evidence and validating change-related regressions.
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Funding, valuation & investors
Answer-first snapshotLatest funding
Seed extension
$5.5M led by Vertex Ventures US · December 9, 2025
Latest known valuation
Not publicly disclosed
Total disclosed equity funding
$9.8M
Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.
Current status
private
seed · San Francisco, CA
Overview
Founded in 2023 by Shahram Anver and Willem Pienaar, Cleric builds an AI reliability teammate designed to examine telemetry, configuration, logs and incident histories. The company described read-only integrations and diagnosis-driven suggestions when announcing its initial product, and has extended its offering toward change verification.
It announced a $4.3M seed led by Zetta Venture Partners in March 2024, followed by a $5.5M seed extension announced December 2025 by Vertex Ventures US. Publicly verified cumulative capital across these rounds is $9.8M. Buyers should validate how current features differ from the original read-only launch and whether the system accurately cites evidence.
Why Cleric is interesting
Cleric offers a relatively smaller-capital alternative to Traversal and Resolve, emphasizing engineering evidence and constrained access rather than unsupported promises of self-healing production.
Product & use cases
Investigation agent that connects to observability systems, runs hypotheses, reviews logs and changes, and provides engineer-usable root-cause reports.
- Autonomous triage of on-call alerts
- Incident hypothesis testing with links to logs and metrics
- Checking deployments for introduced regressions
Funding history (newest first)
Seed extension
2025-12-09 $5.5M led by Vertex Ventures USSource: Read source · vvus.com
Seed
2024-03-21 $4.3M led by Zetta Venture PartnersSource: Read source · cleric.ai
Investors in our directory
Funds linked from Cleric's profile — open a fund page for stage focus and related deal articles.
Competitive landscape
Edge: Explicit early design around minimal production privileges and explainable investigations; later automation privileges must be verified on a customer's deployment.
The closest alternatives differ by whether they investigate existing telemetry, orchestrate incidents, evaluate AI agent behavior, or prevent adversarial exploitation. Selection should be based on representative task-level tests, deployment permissions, data control and total ownership cost.
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Traversal direct
Enterprise causal investigation
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Resolve AI direct
Broader AI production operations
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Rootly adjacent
Incident management workflow platform
Industries
Market / IPO context
Editorial / static context — not a live quote.
FAQs about Cleric
Practical answers founders, operators, and investors typically search for.
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Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.