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Traversal
AI site reliability company from New York whose agents triage alerts and find the root cause of production incidents across very large enterprise systems.
Large enterprises and infrastructure providers with sprawling microservice estates, heavy log volume, and costly incident war rooms.
Small teams with simple stacks, or buyers who want a published self-serve price before a demo.
Verdict
Traversal is an AI site reliability company in New York, New York, founded in 2023 by Anish Agarwal, Raj Agrawal, Raaz Dwivedi, and Ahmed Lone, a group of causal machine learning researchers and a former Citadel Securities trader. Its AI SRE agents triage alerts, run root cause analysis, and power self-healing workflows for customers including DigitalOcean and Cloudways, with a bring-your-own-cloud option. It matters because incident response in large systems still depends on many engineers searching logs by hand, and Traversal targets that step directly.
Score Breakdown
How Traversal scores in the categories that matter to its buyers.
Pricing
Traversal does not publish prices. Buyers request pricing and a demo.
Traversal sells enterprise contracts after a demo and evaluation on the customer's own incidents. A bring-your-own-cloud deployment is available for security-sensitive buyers.
The Field at a Glance
How Traversal compares with other AI incident & on-call vendors we reviewed, by Overall Score and relative typical engagement cost.
Traversal scores 7.7 in AI incident & on-call, under incident.io (8.2) and Rootly (8.0), level with Cleric (7.7), and ahead of ilert (6.9). Relative cost lands upper for this subcategory.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| Root cause analysis on live incidents | Strong | Customers report RCA in minutes rather than hours. |
| Alert triage at scale | Strong | Agents triage alerts before they become incidents. |
| Self-healing for common faults | Strong | Cloudways runs automated fixes for hosting issues. |
| Security-first deployments | Strong | A BYOC product keeps data in the customer's cloud. |
| Small teams on simple stacks | Weak | Built for petabyte-scale enterprise systems. |
| Self-serve trial with public pricing | Weak | Pricing and onboarding run through sales. |
Who it’s for
Good fit
- Fortune 500 infrastructure teams
- Cloud and hosting providers
- Financial firms with heavy log volume
Poor fit
- Startups with a few services
- Teams wanting a free tier
- Buyers comparing prices before a demo
Review Excerpts
Below are excerpts from public reviews. Our team scoured public reviews, forums, and chat rooms to get a balanced view of customers' experience with this company. Paid reviews and pay-for-play sites such as Clutch were excluded.
“For a F&B company, operating at Fortune 50 scale requires intelligent automation beyond traditional monitoring. Traversal’s AI SRE agents cut through this enormous complexity, automatically triaging alerts and surfacing root causes in minutes rather than hours.”
“We worked with Traversal to build a self-healing system for common web hosting issues like DDoS and disk errors. With 95%+ accuracy, it lets thousands of customers solve problems instantly, cutting downtime and support costs.”
Traversal publishes no prices and sells through demos, and its own case studies come from Fortune 50 and Fortune 100 scale customers, so smaller teams have no self-serve way to try it.
Key Leadership
Anish Agarwal
Co-founder and CEO
Methodology
This page is an independent evaluation of Traversal for buyers comparing options in ai incident & on-call. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Traversal did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.
- Buyer outcomes (for ai incident & on-call)
- Root cause speed
- Enterprise scale
- Deployment options
- Pricing transparency
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.
Scope
Traversal is graded here as ai incident & on-call. Criteria scores can move as more review volume and product checks are added.