Fall 2024
Software Engineer Intern
Updated on 8/1/2026
Deductive AI
11-50 employees
AI-driven SRE agents for incident diagnosis
No salary listed
Mountain View, CA, USA
In Person
 Software Engineering (1) |
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- Enrollment in a Bachelor's, Master's, or PhD program in Computer Science or a related technical field, with a strong academic record.
- A strong foundation in computer science, including data structures, algorithms, and system design.
- Familiarity with Java, Scala, Python, JavaScript, or C++, with a strong grasp of algorithm optimization.
- Familiarity with machine learning frameworks and libraries.
- Strong analytical and problem-solving skills and attention to detail.
- Build foundational code and data processing systems capable of reasoning over extremely large amounts of structured and unstructured data.
- Solve technical problems at the intersection of artificial intelligence, code understanding, and data analytics.
- Previous experience or knowledge of code and observability tools, real-time analytics, and large-scale system design.
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
Get referred to Deductive AI
See people who can refer or advise you
Simplify's Take
What believers are saying
- AI SRE market surges due to rising AI-written code driving demand for autonomous debugging tools.
- Elastic acquisition for $85M validates strategic value and enables integration into Elastic's observability platform.
- Reached $1M ARR with deployments at DoorDash, Foursquare, and Kumo, proving strong customer pull in production.
What critics are saying
- Elastic acquisition creates 80–95% exit risk within 0–3 months, eliminating independence and subordinating product roadmap.
- Acting as a feature-add compresses pricing power and limits upside beyond the acquisition window due to narrow scalability.
- Weak $1M ARR versus $85M takeout implies high revenue concentration risk, with momentum vulnerable to stalled deployments.
What makes Deductive AI unique
- Delivers knowledge-graph-based root cause analysis across code, logs, metrics, traces, and events.
- Uses reinforcement learning-powered AI SRE agents that mimic experienced engineers to test hypotheses.
- Reduces incident resolution time by up to 90% through autonomous remediation and code-aware observability.
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Benefits
Company Equity
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Growth & Insights and Company News
6 month growth
↑ 9%1 year growth
↑ 9%2 year growth
↑ 9%Source: Elastic agrees to buy CRV-backed DeductiveAI for up to $85M. Last updated: June 19, 2026 6:43 am DeductiveAI, a startup that uses AI to catch and resolve bugs in software, was founded just three years ago...
DeductiveAI, a startup using AI to detect and resolve software bugs, has agreed to be acquired by Elastic for up to $85 million, according to a source familiar with the deal. Founded in 2023, Deductive emerged from stealth last November with a $7.5 million seed round led by CRV, valuing the company at $33 million. The startup operates in AI site reliability engineering, a fast-growing sector driven by the increase in AI-written code. The acquisition will enhance Elastic's observability platform by adding tools to automatically monitor performance and resolve system failures in real-time. Deductive was co-founded by former ThoughtSpot VP Rakesh Kothari and ex-Databricks engineer Sameer Agarwal. The startup had reached roughly $1 million in annual recurring revenue before the sale.
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.