Modo offers a browser extension and desktop app that passively monitors employee workflows to infer intent and suggest the most appropriate AI tool, prompt, and best‑practice tips in real time. The platform aggregates privacy‑preserving usage data into dashboards for enterprise leaders, showing AI adoption rates, tool utilization, and productivity impact to inform AI investment decisions.
Funding
$16M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations invest heavily in AI tools and training, but employee adoption often stalls, leading to fragmented usage and no clear insight into productivity gains or return on investment.
Solution
Modo provides a browser extension and desktop application that unobtrusively monitors workflow patterns across everyday software to infer user intent. By matching that intent with the organization’s AI tool stack, Modo delivers real‑time recommendations on which AI application to use, optimal prompting techniques, and peer‑derived best practices. The system captures usage without recording keystrokes or screens, preserving privacy while generating actionable analytics. Leadership receives aggregated, privacy‑preserving dashboards that show AI adoption rates, tool utilization, and measurable productivity impact, enabling data‑driven decisions about AI spend.
Target Audience
Primary customers are enterprise IT and operations leaders, as well as department heads in mid‑size to large organizations that have deployed multiple AI tools and need to drive consistent adoption and measure ROI.
Features
- Passive workflow observation via a lightweight browser extension and desktop app, requiring no screen recording or keystroke logging
- Intent inference engine that maps user tasks to the most suitable AI tool in the company’s portfolio
- Real‑time, in‑context suggestions including tool selection, prompt formulation, and role‑based best‑practice tips
- Privacy‑first analytics that aggregate adoption and productivity metrics while keeping individual employee data anonymous
- Leadership dashboard with drill‑down views by tool, team, and overall AI spend effectiveness
- Integration capabilities to align with existing enterprise AI stacks and SaaS applications