Before Meta’s acquisition, Manus had quietly built what enterprises desperately needed: infrastructure that makes AI contextually intelligent. The startup’s approach solved problems that plagued every enterprise AI deployment.

Enterprise AI fails when it can’t access relevant context: customer histories scattered across systems, institutional knowledge trapped in documents, real-time data siloed in different applications. Manus built connectors, retrieval systems, and context management that unified this fragmented landscape.
The Technical Innovation
Manus’s approach combined several innovations: intelligent retrieval that finds relevant context across sources, privacy-preserving architecture that respects data boundaries, and real-time updates that keep context current. This is systems integration applied to AI.
Why Meta Paid Premium
Enterprise context technology transfers directly to consumer applications. The same infrastructure that helps enterprises make AI contextually intelligent can personalize AI experiences for billions of Meta users. The economies of scope justified the premium.
Read the full analysis: Meta’s $2B Context Layer Bet on The Business Engineer









