AI Agents • Gen AI • Enterprise Platforms · USA
Multimodal search and computer-use agents for listed enterprises
Built a US enterprise AI platform used by publicly listed and Fortune-class organizations—multimodal search across 7+ data types, plus computer-use agents that automate work across modern and legacy systems.
US platform serving publicly listed enterprises
Brief
Built a US enterprise AI platform used by publicly listed and Fortune-class organizations—multimodal search across 7+ data types, plus computer-use agents that automate work across modern and legacy systems.
Problem
Knowledge fragmented across Slack, Drive, Dropbox, docs, and legacy systems
Search that finds files but cannot reason across sources or take action
Repetitive workflows that still require humans clicking through UIs
Legacy and proprietary systems with no clean automation path
What we built
Multimodal enterprise search across structured and unstructured sources
Semantic retrieval with cross-source reasoning and permission-aware access
Native integrations with enterprise tools and internal systems
Computer-use agents that observe workflows and automate end-to-end processes
Impact
Cut enterprise search time from 15–60 minutes per query to under 10 seconds
Eliminated information silos across departments
Saved 1,200+ team hours per month through agent-driven task handling
Delivered productivity lift without adding headcount
Why it matters
Publicly listed enterprises do not need another dashboard. They need systems that find context and do the work—safely, with permissions, auditability, and the operational seriousness a listed company actually requires.
Have a project that cannot stay a pilot?
Bring the messy version. The one with real users, old systems, and no clean handoff.