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Deductive AI

Category: AI Developer Tools

AI-powered platform for automating software debugging and root cause analysis, enabling teams to resolve incidents up to 90% faster Deductive AI was founded in 2025. The company is led by Rakesh Kothari. Based in Mountain View, California, United States. Team size: 15. Total funding raised: $7.5M. Latest round: Seed. Key investors include CRV, Databricks Ventures, Thomvest Ventures, PrimeSet.

Founded
2025
Headquarters
Mountain View, California, United States
Team size
15
Total funding
$7.5M

Value proposition

Reduces incident resolution time by up to 90% through AI-driven root cause analysis, saving engineering hours and minimizing downtime

Products and solutions

AI SRE agents, Codebase and telemetry integration tools, Automated debugging workflows

Unique value

Combines deep code understanding with real-time telemetry data to guide incident response from detection to resolution

Target customer

Software engineering teams, Site Reliability Engineers (SREs), and DevOps professionals at tech companies and SaaS organizations

Industries served

Software Development, Site Reliability Engineering (SRE), AI Infrastructure, SaaS Platforms

Technology advantage

Proprietary AI models that analyze code changes, infrastructure metrics, and application logs to identify root causes automatically

How they differentiate

Deductive AI differentiates through AI-powered Site Reliability Engineering (SRE) agents that connect codebases and telemetry data for automated incident resolution, whereas competitors focus on observability and monitoring

Main competitors

Honeycomb, Lightstep, Datadog

Key partnerships

Integration with observability tools, Collaborations with enterprise clients like DoorDash, Foursquare, Kumo, Apoha

Notable customers

DoorDash, Foursquare, Kumo, Apoha

Major milestones

Launched AI-powered SRE agents (2022), Secured $7.5M Seed funding (November 2025), Case study: Saved DoorDash 1,000 engineering hours via automated debugging

Growth metrics

Achieved $1.8M ARR with 15 employees (2025), saved 1,000+ engineering hours for customers

Market positioning

Positioned as an AI-driven developer tool for reducing incident resolution time by up to 90%, targeting enterprises with complex software systems needing rapid debugging and root cause analysis

Geographic focus

Globally accessible via cloud-based platform, with primary focus on tech hubs and enterprise clients in North America and Europe

Patents and IP

No publicly disclosed patents as of 2025

About Rakesh Kothari

Early engineer at ThoughtSpot (2015-2020), led distributed query processing teams; previously at Amazon (2010-2015) and Oracle (2005-2010); MS in Computer Science from University of Massachusetts Amherst (2003-2005)

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