OpsLevel AI

AI tool profile ·

An engineering catalog that automatically finds every software service a company runs and uses AI to fill in owners and descriptions.

68TriVista score
Category rankTied #9 in Software Delivery, Testing, and DevOps AI
Baseline ELO1,459.8
At a glance
What it does

OpsLevel is an engineering platform, sometimes called an internal developer portal, that tracks every software service a company runs, along with its owner and dependencies. Its Catalog Engine scans source repositories, Kubernetes clusters, CI/CD systems, and cloud accounts to find services automatically, then AI writes plain-language descriptions, flags likely duplicates, and reviews commit history to find a likely owner for each service, notifying that person by email. It includes an MCP (Model Context Protocol) server so AI coding assistants can query the catalog about ownership and architecture. Admins set up integrations once, and the catalog keeps itself current without manual entry.

Where it can help

This fits a larger engineering organization with enough services, usually dozens or more across several teams, that manually tracking ownership and documentation has become unreliable. A practical starting point is running the automated discovery scan against existing repositories and cloud accounts to see how much of the catalog it builds without manual entry. OpsLevel prices per developer and does not publish list pricing, so treat any quote as a starting point for negotiation; its Standard plan caps at 50 users, so a growing organization should ask about Enterprise pricing early. The main limitation is that AI-generated descriptions and ownership suggestions still need a human check, since commit history does not always show who currently owns a service.

Understanding this score

A research signal to help you build a shortlist.

TriVista score
68.3
Category rank
#9
Baseline ELO
1,459.8

Compare within the category

This tool is ranked in Software Delivery, Testing, and DevOps AI. Its score is not a global ranking across every AI tool.

Use a pilot to judge your fit

The score does not guarantee performance for your team. Validate relevance, integration, permissions, and cost against your own requirements.

How the number is calculated

The score converts the baseline ELO rating onto the TriVista scale. The headline badge rounds to a whole number. Scores are not silently clipped or capped.

TriVista Score = 50 + (ELO − 1350) / 6

Before you choose
  • Customer feedback is not yet strong enough to change the starting rating.
  • The tool has a middle-of-the-scale starting rating. A tied order does not show a measured difference.
  • Check the current price before you decide.
  • We recorded rollout time, how it runs, and when it does not fit.
How company details affect the score

The model adjusts the starting rating using the company details you select. Use these estimates to prioritize your review, then test the tool against your own requirements.

Read the full methodology →
Cost guide

What it can cost

These estimates cover licensing, setup, integrations, staff time, security, administration, and support.

Cost estimates by scenario Unit used in these estimates: production deployment.
Cost measureLowBaseHigh
First-year total$54.4K$85.5K$137.2K
Three-year total$118.1K$177.9K$274.3K
First-year cost per unit$54.4K$85.5K$137.2K
Average annual cost per unit (over three years)$39.4K$59.3K$91.4K
Cost breakdown by scenario
Included cost components
ComponentLowBaseHigh
Licensing and usage$18K$24K$32.4K
Implementation$8.4K$14K$23.8K
Integration$9.9K$18K$32.4K
Staff time and change management$6K$8.5K$11.9K
Security$4.6K$6.5K$9.8K
Administration$3.4K$4.5K$6.1K
Support$1.7K$2.2K$3K

Estimate assumptions: Based on 1 production deployment. This is a planning allowance, not verified product pricing. Confirm the vendor’s billing unit and current price or quote before budgeting.

Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.

Get started

What you need first

What you need firstSet up the basics

Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.

How to startSet clear limits

Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot

Before you scaleSet safe working rules

Review security and exit requirements →

Recommended next action

Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.

Decision ownerBusiness and technology owner
STARTSet a goal and owner

Define what success looks like for a test of OpsLevel AI and assign someone to lead it.

FIRST MONTHTest one workflow

Once the requirements above are met, compare a small trial with how your team works today.

MONTH TWOReview actual use

Track adoption, output quality, business results, and actual costs against the estimate.

MONTH THREEDecide what comes next

Use the results to decide whether to stop, adjust, or expand the pilot.

Risk profile

Required controls

Security and safe use

Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.

Exit and rollback

Review before rollout: confirm how to export your data, revoke access, and return to your existing workflow. Assign an owner and test the rollback plan before expanding use.

Recommended next step

Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.

Other tools to review

Compare similar tools

Software Delivery, Testing, and DevOps AI
85TriVista score

Mend AI

A security tool that inventories every AI model, prompt, and dataset a company uses and flags risky or unapproved ones.

Why it’s an alternative—

Compare with Mend AI

Why it’s an alternative—

Compare with Atlassian Rovo Dev
Software Delivery, Testing, and DevOps AI
74TriVista score

Harness AI

A software delivery platform that bundles AI agents for coding, security testing, deployment risk, and cloud cost into one DevOps system.

Why it’s an alternative—

Compare with Harness AI
Software Delivery, Testing, and DevOps AI
74TriVista score

GitLab Duo

An AI assistant built into the GitLab software platform that suggests code, answers questions about a repository, and summarizes changes.

Why it’s an alternative—

Compare with GitLab Duo
Research support

How to learn more about this tool

Where to check the product, price, security, and support.

Official product information opslevel.com Read official information →
Score history

How the rating has changed

Recorded score and category rank across research updates.

  • Current catalog refresh
    TriVista Score 68.3/100
    Category rank #9

See how this tool fits your company

Answer a few questions about your company and compare this tool with others. The research score above stays the same.

Check the fit →

Want help moving from research to action? Explore TriVista’s AI consulting services →