Traversal @traversal_ai
Our AI SRE is always on call — so you don’t have to be. https://t.co/QBUAUg9MTp New York Joined April 2025-
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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…
Link to full video here: youtu.be/WXLVCZIUxpY?si…
What does causal machine learning and reinforcement learning have to do with IT operations? It was great speaking with the team at @eostudi0 about the work we’re doing at @traversal_ai to help enterprises root cause some of the most complex production incidents they face, and…
.@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…
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 technical shift that underpins the next wave. The microprocessor, the internet, cloud, mobile, AI. But some things at Sequoia are the same since Day 1…
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…
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…
The AI SRE landscape is evolving quickly — and for enterprises, that’s a double-edged sword. The technology is badly needed, but it’s tough to know how to evaluate it. How do you measure accuracy? When should you build vs. buy? What will observability incumbents provide out of…
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…
Last week’s @RaiseSummit in Paris was fantastic. One key takeaway: Concern about troubleshooting and repairing code written by AI is growing. I had the opportunity to speak with engineers and execs from across the industry at the beautiful Carousel du Louvre, and it’s clear that…
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.
Building an AI SRE is one of the toughest and most exciting problems I’ve tackled in my 10+ years of research. Solving it means pushing the boundaries of AI, statistics, and infrastructure — all at once. I’ve never been more optimistic, thanks to the incredible team we’re…
Discussing the future of AI against the backdrop of the timeless Louvre — quite a treat. See you on Wednesday at #RAISE2025
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. 🎆
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