Executive Summary

Across roughly 500 million knowledge workers, fragmentation between docs, chat, email and SaaS tools creates significant friction—workers spend substantial time on copy‑paste, manual lookups, and context switching, and teams invest about $240 per user per year on point productivity and automation tooling. IT and ops teams often rely on slow, bespoke integrations that are costly to maintain, while individual contributors lack a trusted assistant that can act across the apps they use in-browser. You could build a browser‑native platform that lets an AI assistant securely access and interact with web apps via lightweight extensions and a standardized connector layer, combining API‑first integrations for supported services with DOM‑aware fallbacks to automate non‑API workflows. Core product elements would include zero‑credential proxying for SSO, a no‑code mapping/automation builder, prebuilt connectors for the top ~30 enterprise apps at launch, and a per‑seat SaaS model plus a connector marketplace for third‑party contributions. This market is attractive now because LLM commoditization and standardized APIs have reduced model costs and made assistant behavior inexpensive to run, while workspace consolidation and the rise of browser‑native tooling mean teams increasingly want single‑pane answers across apps; the total addressable market is roughly $120B (500M users × $240/year), and our assessment rates the market 90/100 with revenue potential 84/100. Lower deployment friction for extensions and broader readiness for in‑browser automation shorten time‑to‑value versus heavy enterprise RPA projects. To differentiate, focus on security, reliability and developer experience—employ browser sandboxing and zero‑knowledge patterns to address procurement concerns, invest in robust DOM‑resilient connectors and monitoring, and build a developer SDK and marketplace to create network effects. Be honest about the challenges: maintaining fragile web integrations at scale and competing with platform incumbents and RPA vendors are real risks, so prioritize vertical‑specific connectors and enterprise contracts as durable moats rather than assuming product virality alone will suffice.

Market Opportunity

Let your AI access apps in-browser — connect tools to an assistant targets a $120B = 500M knowledge workers x $240/yr average spend on productivity/automation tooling and integrations total addressable market with medium saturation and a year-over-year growth rate of 20%.

Key trends driving demand: LLM commoditization -- lower costs and standardized APIs make assistant features accessible to startups and integrations easy to build.; Workspace consolidation -- teams want single-pane answers across docs, chat, and email, increasing demand for cross-app connectors.; Browser-native tooling -- extensions and in-browser apps enable low-friction deployment and data access without heavy IT projects..

Key competitors include Zapier, Make (formerly Integromat), Merlin (and similar browser AI extensions), LangChain / LlamaIndex (developer frameworks).

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Let your AI access apps in-browser — connect tools to an assistant

Executive Summary

Market Validation

Market Opportunity

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