Executive Summary

Many development and QA teams struggle to reliably validate end-to-end behavior when AI agents or automated code changes touch runtime systems; current approaches rely on brittle screenshots, flaky UI tests, or manual checks that can't provide semantic, programmatic signals. This pain is especially acute for mid-market and enterprise teams—roughly 200,000 teams—who need repeatable, auditable validation before deploying LLM-produced changes. You could build an SDK plus a local/on‑prem agent-facing API that produces instant, structured snapshots of app state and semantic events (not images), queryable by automated agents and CI pipelines for deterministic E2E validation. The product would prioritize low‑overhead instrumentation across web and mobile, schema contracts for tests, and enterprise controls for data locality and privacy. The timing is strong: a $4.8B market (≈200k teams × $24K ACV) for QA/dev tooling is being reshaped by LLMs and agent frameworks that create urgent demand for reliable runtime validation, and teams are explicitly shifting toward structured telemetry over screenshots. Privacy and local‑first preferences among security‑conscious buyers further expand opportunities for on‑prem or developer‑hosted offerings. It can stand out by combining schema‑driven state APIs, tight agent integrations, and local‑first deployment to offer faster, more reliable automated validation than screenshot‑based or cloud‑only tools, but success will require solving hard cross‑platform instrumentation challenges and navigating enterprise sales cycles.

Market Opportunity

Give AI agents instant, structured app state for reliable E2E validation targets a $4.8B = 200,000 development teams × $24K ACV (enterprise + mid-market QA/dev tools spend) total addressable market with medium saturation and a year-over-year growth rate of 12% YoY — test automation and QA tooling market CAGR projected ~10-14% in industry reports (MarketsandMarkets, Gartner estimates).

Key trends driving demand: AI-assisted development — LLMs and agent frameworks are being adopted to write and modify code, creating demand for reliable runtime validation so generated changes can be tested automatically.; Shift to platform telemetry — Teams want structured, semantic signals (not screenshots) to automate debugging and observability across web and mobile, which enables programmatic agents.; Privacy and local-first tooling — Security-conscious enterprises increasingly prefer on-prem or developer-hosted solutions that avoid sending sensitive runtime data to third-party clouds.; Multi-device complexity — Consumers expect seamless cross-device flows, raising demand for tools that can test and reproduce multi-device interactions end-to-end..

Key competitors include Playwright, BrowserStack, mabl.

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Give AI agents instant, structured app state for reliable E2E validation

Executive Summary

Market Validation

Market Opportunity

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