HealOps vs Cleric: AI SRE Comparison (2026)

HealOps and Cleric are both agentic SREs that run autonomous root-cause analysis with parallel hypothesis testing. The difference is where each one stops. Cleric delivers a root cause and a fix recommendation into Slack and is read-only by default. HealOps goes one step further and ships the fix as a reviewed pull request with a regression test attached. For Cleric, opening a pull request is an unmarketed, opt-in integration, and resolution-via-PR is on the roadmap — not the generally available product.

Cleric is a well-regarded diagnosis engine with real operational depth. This post is fair about that and precise about the gap between a Slack recommendation and a tested, mergeable fix. Where a capability is unverified, we say so.

At a glance

Capability	HealOps	Cleric
Autonomous root-cause investigation	✓	✓
Parallel hypothesis testing	✓	✓
Delivers RCA + recommendation to Slack	✓	✓ (~2–5 min)
Ships fix as a reviewed pull request	✓	Roadmap (opt-in PR exists, unmarketed)
Regression test attached to the fix	✓	✕
Never auto-deploys (human merges)	✓	✓ (read-only by default)
Read-only · logs stay in your cloud	✓	✓ (read-only, VPC, no training on data)
Learns	✓ (portable runbooks)	✓ (opaque operational memory)
Scope	General infra	General infra

What Cleric does well

Cleric — “the AI SRE that learns” — is a strong autonomous diagnosis product, recognized as a Gartner Cool Vendor in 2025 and built by founders including the creator of Feast. Publicly available information puts total funding around $9.8M (a Zetta-led seed with Vertex).

Its core strength is fast, autonomous root-cause analysis. Cleric tests multiple hypotheses in parallel and delivers a root cause plus a fix recommendation into Slack in roughly two to five minutes, with a claimed 200,000+ investigations run. It is read-only by default, does not train on customer data, holds SOC 2 Type II, and runs in a VPC. On data handling it is genuinely careful — a posture HealOps shares.

If your immediate pain is getting to the root cause fast and you’re comfortable taking the recommendation from there, Cleric does that job well.

Where HealOps differs

Both products run the same early loop — detect, correlate, hypothesize, investigate in parallel (see what is an AI SRE). The divergence is entirely in stages five and six: heal and learn.

Cleric stops at a Slack recommendation; HealOps ships the fix. This is the central difference. Cleric is diagnosis-first and read-only by default — it hands you a root cause and a recommended fix in Slack, and then a human has to write the diff. Its integration docs do allow opt-in GitHub PR creation, but that path is unmarketed and is not the product motion; resolution via “PRs with guardrails” is described as roadmap, not generally available. HealOps closes the loop today: it opens a reviewed pull request on the offending repo with a minimal diff and an evidence-linked RCA. The hardest, riskiest step — writing the correct diff under pager pressure — is the step Cleric leaves to a human and HealOps takes on.

The regression test. Even where Cleric can be wired to open a PR, there is no reviewed-PR-with-regression-test motion. Every HealOps pull request carries a regression test that reproduces the incident: it fails before the change and passes after, so the fix is verified rather than merely plausible, and the same failure is guarded against returning. This is the artifact almost no competitor ships — the heart of why your AI SRE should open a pull request, not deploy to prod.

Portable runbooks vs opaque memory. Both tools learn, but the shape matters. Cleric builds an internal “operational memory” that effectively replaces runbooks — powerful, but a black box you don’t own or inspect. HealOps instead authors portable, human-owned runbook entries plus a continuous regression check from each verified fix. Your team can read, edit and keep that knowledge even if you change tools; it doesn’t disappear into a vendor’s memory.

On data residency the two are close peers — both read-only, both careful — so HealOps doesn’t claim that as the wedge here. The wedge is the shipped, tested fix and the portability of what gets learned. For the data posture HealOps shares with the better tools in the category, see keep your logs in your own cloud.

Which should you choose?

Pick Cleric if your priority is fast autonomous diagnosis delivered into Slack, you’re comfortable taking the recommendation and writing the fix yourself, and you value its operational-memory approach to learning.

Pick HealOps if you want the loop actually closed: an agent that not only diagnoses but opens a reviewed pull request with a regression test attached, and that authors portable runbooks you own rather than an opaque memory you don’t. If the recommendation-in-Slack step still leaves your engineers writing diffs at 3 AM, that’s the gap HealOps is built to close.

For the broader landscape — including Resolve AI, Traversal and incident.io — see the best AI SRE tools in 2026, or compare with the best-funded pure-play in HealOps vs Resolve AI.