Summer 2026
AI-driven SRE agents for incident diagnosis
No salary listed
London, UK
In Person
On-site internship in Camden, London. UK work authorization required; no visa sponsorship.
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Deductive AI provides a platform that uses intelligent agents to automate the investigation and repair of software failures. The system connects to an organization's code, logs, and metrics to build a live knowledge graph, using reinforcement learning to test hypotheses and identify root causes just as an experienced engineer would. Unlike traditional monitoring tools that only alert users to problems, this platform actively reasons through complex system relationships to reduce incident resolution time by up to 90%. The company's goal is to move engineering teams from reactive firefighting to proactive problem resolution, allowing them to focus on building new features rather than debugging.
Company Size
11-50
Company Stage
Seed
Total Funding
$7.5M
Headquarters
Mountain View, California
Founded
2023
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Deductive AI formally launches with $7.5M in funding. Deductive AI, a Mountain View, CA-based company which specializes in AI-powered root cause analysis and resolution, raised $7.5M in Seed funding. The round was led by CRV, with participation from Databricks Ventures, Thomvest Ventures and PrimeSet. The company intends to use the funds to expand operations and its development efforts. Led by Sameer Agarwal, co-founder and CTO, and Rakesh Kothari, co-founder and CEO, Deductive AI is building AI SRE agents that connect codebases and telemetry data to guide incident response from detection to resolution. At its core, Deductive AI is a unified platform for deploying and training AI agents that connect to an organization's code, logs, metrics, traces, and events, capable of reasoning on a constantly updated knowledge graph that maps relationships between systems, enabling them to test hypotheses, evaluate evidence, and pinpoint precise root causes in seconds.
Deductive AI, founded by veterans from Databricks and ThoughtSpot, has launched with $7.5M in seed funding led by CRV, with participation from Databricks Ventures, Thomvest Ventures, and PrimeSet. The company introduces AI SRE agents that reduce incident resolution time by up to 90%, using AI to diagnose and remediate software issues quickly. The platform connects to code, logs, and metrics, providing actionable insights and accelerating root cause analysis for engineering teams.