Anish Agarwal
Showing 1–4 of 4 transcripts.
- RAISE Summit40 min
Architecting the Agentic Enterprise | Traversal, Kong, Pigment & Twelve Labs | RAISE 2026
Shubho Sengupta, Anish Agarwal, Carl Mattsson, Eleonore Crespo, Soyoung Lee, Cathy Gao
Moderated by Kathy Gao of Sapphire Ventures, this panel unites five founders to address the critical transition of AI agents from experimental proof-of-concepts to reliable, autonomous enterprise production in 2026. The discussion identifies key obstacles such as non-deterministic failure modes, security friction, and accountability gaps, while proposing strategies like deterministic output layers, structured human-in-the-loop oversight, and outcome-based pricing to ensure value delivery. By analyzing data showing that most current AI initiatives fail to impact EBITDA, the session outlines a roadmap for shifting investment from edge use cases to core business operations through proprietary data infrastructure and stable governance models.
- RAISE Summit20 min
Self-Driving Production: AI Wrote Your Code. AI Should Fix It, Too. | Traversal | RAISE Summit 2026
Founded by an MIT PhD and Columbia professor, Traversal deploys an AI-driven site reliability engineer that distinguishes itself from traditional correlation-based tools by utilizing a proprietary causal search engine to identify root causes across petabytes of daily telemetry. This platform delivers L5 autonomy in production environments, evidenced by enterprise deployments at American Express that reduced incident resolution times by 58% and Pepsi initiatives that preemptively halted customer-facing outages through historical alert analysis. By integrating a unique production world model, the system autonomously executes complex remediation steps such as traffic failover and code generation, effectively transforming maintenance workflows from reactive war rooms to proactive self-healing operations.
- RAISE Summit17 min
Anish Agarwal, Traversal: Production Software Keeps Breaking, and It Will Only Get Worse
Founded by MIT PhDs and Citadel alumni, Traversal employs causal machine learning, advanced reasoning models, and agent swarms to automate root cause analysis for large enterprises overwhelmed by AI-generated code complexity. The platform processes petabyte-scale telemetry to distinguish symptoms from causes, delivering proven results such as a 38% reduction in resolution time for DigitalOcean and sub-five-minute identification for a major financial firm. By converging on solutions through agentic MapReduce rather than traditional AIOps, the company aims to automate the full software reliability lifecycle while addressing the growing maintenance burden in modern development workflows.
- Sequoia Capital41 min
From DevOps ‘Heart Attacks’ to AI-Powered Diagnostics With Traversal’s AI Agents
Anish Agarwal, Raj Agrawal, Sonya Huang, Bogomil Balkansky
Traversal, founded by Anish and Raj, deploys LLM-orchestrated AI agents to automate Root Cause Analysis in DevOps and SRE, transforming fragmented manual troubleshooting into a scalable process. By leveraging statistical causal inference to build semantic dependency maps, the platform achieves approximately 90% accuracy in identifying incident origins within minutes rather than hours. Operating with read-only access, Traversal distinguishes itself as a critical safety net for mission-critical systems, currently rated at an L4 capability level for autonomous diagnostics without requiring complex human intervention or new data generation.