Companies

Struct

struct.ai

Struct is an AI on-call agent that autonomously investigates and root-causes production alerts using telemetry, code, and databases.

HQSan Francisco, California, United States
Employees1-50
Jobs checked 3d ago
Specialization
Not classified
Business
Software Applications
Market
Software Development
Ecosystem
Not classified
Customers
Developersand 1 more customers values
  • Enterprises
More details
Organization type
Commercial Company
Ecosystem
Not classified
Business
Software Applications
Specialization
Not classified
Market
Software Development
Customers
Developers, Enterprises
Delivery models
Hosted Software
Revenue models
Usage Based
Listing status
Not classified
Latest equity round
Pre Seed
Reported funding amount
Not classified

About

Struct builds an AI on-call agent for engineering, SRE, and DevOps teams. It autonomously investigates alerts and incidents using telemetry, code, and databases, differentiating itself by root-causing engineering alerts across logs, metrics, traces, and code.

Market

Struct competes in B2B DevOps/SRE observability, on-call automation, and incident-response software. Its positioning is as a lightweight, composable on-call agent that plugs into an existing engineering stack, correlates telemetry with code, automatically investigates every alert, and hands actionable context to engineers or coding agents; this emphasizes fast deployment and reduced dependence on centralized observability or a large SRE function.

Target Customers

Struct targets founding engineers and lean engineering teams scaling from roughly 1 to 50 people, especially teams running serious infrastructure without a dedicated SRE. It is also aimed at organizations investing heavily in AI-assisted development workflows and engineering/on-call leaders responsible for incident response.

At a Glance

Problem

Struct addresses the operational burden of production software incidents: engineering teams receive a constant stream of alerts and bugs, then manually reconstruct what happened by searching across logs, metrics, traces, code, and collaboration tools. The work is repetitive, slow, and dependent on institutional knowledge. At fintech customer Arcana, engineers handled hundreds of high-priority Sentry alerts each month, spending 10–45 minutes on each investigation and more than 15 hours per week on triage; newer engineers struggled to contribute because they lacked the necessary codebase context. The killer use case is automatically investigating every alert before an on-call engineer picks it up, so lean teams can recover senior engineering time and respond to incidents faster.

Product / Service

Struct is a SaaS AI on-call and incident-investigation agent. It connects to an engineering organization’s existing observability, code, cloud, ticketing, and collaboration stack, then investigates alerts by querying logs, analyzing stack traces, reviewing recent commits, and assembling customer impact, root cause, pattern analysis, and supporting evidence. Results can be posted into Slack, Asana, or incident channels; engineers can ask follow-up questions, and Struct can hand a fully contextualized task to a coding agent. The product is designed to deploy in minutes, with a free tier and paid plans beginning at $200 per month, and its benefit is to turn manual triage into an automated review-and-handoff workflow.

Market

Struct competes in AI-native developer tools, specifically automated root-cause analysis, on-call automation, observability workflows, and incident response. Its closest substitutes include established incident-management and on-call platforms such as PagerDuty, Rootly, FireHydrant, and OpsGenie, although Struct’s differentiation is its emphasis on autonomously investigating the underlying cause across telemetry and code rather than merely routing alerts or coordinating an incident. The company is a YC Fall 2024, San Francisco startup founded in 2025 and listed as active; it launched publicly in 2025 and ranked #2 of the day on Product Hunt on March 14, 2026 with 341 points.

Struct has early customer traction rather than the profile of a mature scaled vendor. Arcana reports that Struct reduced daily triage from hours to minutes, expanded investigation coverage 17x with an over-80% helpful-investigation rate, and helped onboard a newer engineer to on-call. Orb reports 160 engineering hours returned per month and a greater-than-10x return on investment, with usage expanding from one alert feed to its broader incident workflow. Public directory evidence lists approximately $500,000 raised, including Y Combinator investment, while no public revenue figure is shown; the available evidence therefore supports “early commercial traction” more strongly than a definitive claim that Struct is pre-revenue.

Founders & Leadership

Nimesh ChakravarthiFounder
Co-Founder
Deepan MehtaFounder
Co-Founder

Funding History

2024-09
Pre-SeedUndisclosed

Y Combinator

Recent News

2026-09-08product_launch
Struct presents its AI Prod Engineer

Struct's homepage, dated September 8, 2026, presents its AI Prod Engineer product, which monitors production changes and fixes issues when they occur. The product is offered with a free trial and is positioned as an autonomous production-engineering tool for development teams.

2026-07-31product_launch
Struct | On-Call Agent for Automated Root Cause Analysis

Struct’s official site presents its on-call agent as a product that cross-references logs, metrics, traces, and code to root-cause engineering alerts and bugs. The site also highlights integrating context from an entire technology stack in minutes.

2026-03-27product_launch
Struct: YC-backed AI agent automates on-call investigation

A YC F24 portfolio update describes Struct as an AI agent that automates on-call investigation for engineering teams by using operational telemetry and code context.

2025-08-12product_launch
Struct (F24): building the new way to do on-call

Y Combinator’s startup listing describes Struct’s AI agents as acting on on-call issues, including auto-tagging feedback for triage and creating automated pull requests.

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Business Model

Struct uses a freemium, usage-based SaaS model: its free plan includes 100 credits per month, after which customers pay as they go; annual discounts are available.

Products

Struct On-Call Agent for automated alert investigation and root-cause analysisAutomated incident impact summaries, pattern analysis, reports, timelines, and coding-agent handoffs

Customers

ArcanaOrbFERMÀTOpenFunnel

Tech Stack

AI agents for automated root-cause analysisObservability telemetry: logs, metrics, traces, and monitorsCodebase and commit-history analysisSlack and web-app workflow integrationCoding-agent context handoffs

Competitors

Rootly
BigPanda
PagerDuty
Datadog Bits AI