SenseAI Ventures Leads Pre-Seed Round as Enterprises Adopt Agentic AI for IT Operations
AI-native incident management startup Sherlocks AI has raised ₹7.5 crore in a pre-seed funding round led by SenseAI Ventures, with participation from Uppekha. The company plans to use the fresh capital to strengthen its product capabilities and accelerate go-to-market efforts in North America, where demand for AI-driven operations platforms is growing rapidly.
The funding comes at a time when enterprises operating cloud-native infrastructure are facing increasing operational complexity. While observability and monitoring tools have become widely available, diagnosing production incidents still remains a largely manual process that often requires coordination across multiple teams and systems.
Sherlocks AI aims to address this challenge by introducing autonomous investigation capabilities that significantly reduce incident resolution times.
Building an Agentic Operations Layer
Founded in 2025 by Gaurav Toshniwal and Akshat Jain, Sherlocks AI has developed an AI-native platform that autonomously investigates production incidents and identifies root causes without requiring manual intervention.
The platform deploys specialized AI agents across databases, Kubernetes environments, cloud infrastructure, networks, CI/CD pipelines, and observability systems. These agents work together to analyze signals, form hypotheses, and identify the source of incidents in real time.
The company describes its approach as an “Agentic NOC”, replacing traditional operations workflows that depend heavily on human intervention and tiered escalation models.
Sherlocks AI is positioning itself at the intersection of AI agents, reliability engineering, and enterprise operations.
Customers Report Significant Improvements
According to the company, production incidents often occur during periods of peak traffic, resulting in poor customer experiences and revenue losses for businesses. Following deployment in live environments, users reportedly experienced a 10-fold reduction in mean time to resolution, reducing incident response times from approximately 3.5 hours to just 22 minutes.
Customers also reported up to 90% reduction in alert noise and up to 70% lower incident-driven downtime, helping improve uptime and operational reliability.
Global Expansion and Enterprise Growth
Sherlocks AI currently serves mid-market and enterprise customers operating cloud-native and hybrid infrastructure environments. Its customer base includes Fynd, Lokal, and TradeIndia, while the platform integrates with more than 30 enterprise tools across cloud, observability, database, and infrastructure ecosystems.
The company has also achieved SOC 2 Type 2 certification and currently holds a 4.9 out of 5 rating on G2, reflecting strong customer adoption among engineering teams.
As enterprises increasingly adopt AI across software development and operations, Sherlocks AI is betting that autonomous incident diagnosis could become a core component of modern infrastructure management. The fresh funding will help the company expand internationally and strengthen its AI-driven operations platform.