Test, test. Is this thing on? 🎤. Big week at Traversal: we’re officially out of stealth and we’re kicking it off with a feature in @FortuneMagazine! Huge thanks to @agarfinks for sharing our story. But we’re not just telling our story—we’re showing it. See firsthand what we’ve

We know Slack is where a lot of firefighting happens. That’s why Traversal can help you root cause an incident right from an existing Slack channel. 📹 This is the first capability we’re featuring in our new product video series, where each week our engineers will walk through

RT @_anish_agarwal: Link to full video here:

RT @_anish_agarwal: What does causal machine learning and reinforcement learning have to do with IT operations?. It was great speaking with….

.@DigitalOcean partnered with Traversal to build an AI SRE to reimagine infrastructure resilience and automate the hardest parts of on-call operations — saving over 3.6K engineering hours annually. Using Traversal’s AI SRE system, DO now resolves the most complex production

RT @zefi: Sequoia has been in business since 1972. The world today is very different to 50 years ago. Each decade or so there’s a major te….

For enterprises dealing with the most critical incidents, a runbook isn’t going to cut it. You need truly novel agentic architectures like Traversal. Our CEO @_anish_agarwal spoke on TBPN about how he looks at the distinction between an “AI copilot” and fully agentic systems.

Traversal helps resolve incidents ASAP so engineers can get back to what they love: designing great systems and building for the long term. Think of it like healthcare. If you're constantly dealing with major heart attacks (production incidents) and chronic illness (alert

Check out our careers page here 👇.

Traversal is based in New York City for a reason 🗽 When deciding on the site of our HQ, we had specific criteria in mind:. ✅ It had to be close to the customers we serve—global enterprises with some of the most complex observability stacks in the world. ✅ It had to be

Traversal solves the observability industry’s most daunting problem: fast, accurate, and reliable root cause analysis. But how?. By combining the best of LLMs (reasoning models), agentic architectures (swarms of AI agents), and traditional machine learning (causal ML), we're able

RT @_anish_agarwal: The AI SRE landscape is evolving quickly — and for enterprises, that’s a double-edged sword. The technology is badly ne….

At Traversal, we made an early bet on exploiting inference-time compute—and it’s paying off for enterprises. Listen as CEO @_anish_agarwal talks on @sequoia's “Training Data” podcast about how this decision is leading to significantly faster, more accurate incident resolutions.

One month ago, Traversal came out of stealth to tackle one of the hardest problems facing businesses today: software reliability. We believe we’re the right team to solve it. Traversal combines deep academic roots with world-class product engineering. At our NYC office, you’ll

RT @_anish_agarwal: Last week’s @RaiseSummit in Paris was fantastic. One key takeaway: Concern about troubleshooting and repairing code wri….

A swarm of expert AI SREs automatically sifting through petabytes of observability data to dramatically reduce incident resolution time 👀. Welcome to the world post-Traversal.

RT @_anish_agarwal: Building an AI SRE is one of the toughest and most exciting problems I’ve tackled in my 10+ years of research. Solving….

RT @_anish_agarwal: Discussing the future of AI against the backdrop of the timeless Louvre — quite a treat. See you on Wednesday at #RAISE….

Too many engineers spend holidays tethered to their laptops, dreading an incident. With Traversal’s AI SRE, you can get ahead of downtime, cut through noise, and resolve issues faster — before they take over your holiday. 🎆 Enjoy the long weekend. Let us keep watch. 🎆