Seed-Funded Startup with $11 Million from Lux Capital and Qualcomm Ventures Sets New Standard in Generative Productivity

Today, Context unveils the world’s first AI-native office suite powered by its proprietary Context Engine, directly addressing the estimated 2.5 trillion hours humanity spends annually on repetitive, automatable office tasks. Built entirely from the ground up to leverage state-of-the-art long-context AI, Context seamlessly integrates generative agents across familiar productivity tools, dramatically accelerating document creation, research, data analysis and presentations.

Founded by Joseph Semrai, a Thiel Fellow who left Stanford at age 20, Context emerges from stealth with substantial backing, an $11 million seed round at a $70 million valuation, led by Lux Capital and Qualcomm Ventures. Unlike legacy office tools that retrofit AI as incremental add-ons, Context entirely reimagines the software ecosystem for a generative future, setting new benchmarks in intelligence, context-awareness and productivity.

"Office software has barely evolved since the 1990s, leaving billions of hours trapped in manual, repetitive processes,” said Semrai. “Context’s AI-native workspace frees knowledge workers to focus on uniquely human tasks: strategizing, decision-making, and creativity, while intelligent agents handle the rest."

Powered by the Context Engine

Context’s pioneering Context Engine is inspired by the human hippocampus, offering unprecedented long-context understanding without performance degradation, capable of handling contexts exceeding 50 million tokens. Unlike traditional retrieval-augmented generation (RAG) methods, Context's proprietary swarm agents dynamically traverse entire organizational knowledge bases, uncovering deep connections and generating precise, insightful outputs in seconds.

Strategic Partnerships and Security Leadership

Working with Qualcomm, Context leverages Snapdragon™ NPUs for local, secure, and compliant deployments, abstracting away cloud inference costs and meeting stringent enterprise security standards, including SOC-2 Type II and ISO 27001 certifications.

“This is a great example of an agentic experience. It's a breakthrough for productivity,” said Cristiano Amon, President and CEO of Qualcomm, presenting centerstage at Computex 2025.

“While frontier labs have demonstrated AI's potential, Context transforms potential into reality," said Shahin Farshchi, PhD, General Partner at Lux Capital. “Context’s integration of multi-modal AI creates revolutionary efficiencies, empowering industries like finance, consulting, and law to elevate their client offerings and significantly increase human bandwidth for strategic tasks.”

Instant Productivity Across Familiar Platforms

At launch, Context supports comprehensive integrations with over 300 enterprise applications, including Microsoft 365, Google Workspace, Salesforce, Slack, ServiceNow and Snowflake, offering immediate familiarity and zero friction adoption.

Key capabilities include:

• AI Documents: Automate professional-grade reports, proposals, and summaries.
• AI Slides: Generate executive-ready presentations with compelling narratives.
• AI Spreadsheets: Analyze complex datasets and produce actionable visualizations instantly.
• Deep Research & Enterprise Search: Rapidly surface and synthesize insights across vast internal and external data sources.

Availability and Getting Started

Context is available broadly today. Interested organizations can request detailed demos at context.ai.

About Context

Founded in 2024 by Joseph Semrai, Context is headquartered in San Francisco, California. The company combines generative AI, advanced long-context reasoning, and secure, local-first infrastructure to redefine productivity tools. Backed by Lux Capital, Qualcomm Ventures, General Catalyst, and leading angel investors, Context aims to fundamentally shift how enterprises, governments, and individuals collaborate with intelligent machines.

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"Office software has barely evolved since the 1990s, leaving billions of hours trapped in manual, repetitive processes,” said Semrai.