Revenue Intelligence
Live moduleMIA Sales
Captures conversations, highlights objections, and turns pipeline noise into sharp next-step recommendations.
MMinds turns meetings, workflows, and operational signals into live intelligence so teams can move from scattered inputs to confident action.
246
Meetings indexed
18
Decision risks flagged
42
Recommended actions
Three focused products designed to capture context, surface signal, and guide execution across revenue, hiring, and strategic operations.
Revenue Intelligence
Live moduleCaptures conversations, highlights objections, and turns pipeline noise into sharp next-step recommendations.
Talent Intelligence
Live moduleStructures candidate context, spots fit patterns, and helps teams move faster without losing decision quality.
Decision Operating Layer
Live moduleUnifies signals across meetings, workflows, and systems so leaders can act with confidence instead of guesswork.
The core platform stays consistent while each solution applies it to a different workflow, decision cadence, and operating team.
MIA Sales
Input
Calls, pipeline movement, deal reviews, buyer signals
Interprets
Objections, momentum, stakeholder intent, execution risk
Outputs
Deal summaries, next best actions, coaching guidance
Business outcome
Sharper pipeline decisions and stronger revenue execution
MIA Recruitment
Input
Interview loops, recruiter notes, scorecards, panel feedback
Interprets
Candidate fit, signal strength, concerns, evaluation consistency
Outputs
Structured summaries, hiring recommendations, recruiter guidance
Business outcome
Faster, cleaner, higher-confidence talent decisions
PRISM
Input
Strategic initiatives, assumptions, risks, stakeholder context
Interprets
Trade-offs, readiness, downside, expected impact
Outputs
Decision framing, factor scoring, recommendation logic
Business outcome
Higher-quality leadership decisions with clearer execution paths
A product layer that reads across conversations, actions, and outcomes to produce signals teams can trust.
Decision overview
Decision confidence
94%
+12%
Cycle time reduced
31%
-8.4h
Workflow coverage
128
+19 automations
Recommendations
Prioritize action where confidence and impact intersect
Live activity feed
MMinds detected pricing hesitation in the last 3 meetings.
Candidate fit score improved after manager calibration.
Workflow bottleneck found between approvals and action owners.
AI summary
Teams are moving faster when shared context is captured once and reused across follow-up, prioritization, and execution.
Vision
MMinds is building intelligence infrastructure for teams that want to operate with depth, clarity, and momentum across every important decision.
MMinds is being built as intelligence infrastructure for enterprise decision-making, with focused wedge products that create credible entry points into broader workflow ownership across the organization.
Investment narrative
Capital is intended to accelerate product development, go-to-market execution, and expansion across decision-critical workflows, with disciplined emphasis on productization, execution, and category definition.
Market timing
As AI adoption spreads across the enterprise, the next frontier is no longer isolated copilots but operating layers that coordinate context, decisions, and execution.
Product ecosystem
MIA Sales, MIA Recruitment, and PRISM are focused wedges that can expand into larger operational surfaces over time.
Operating model
MMinds is structured around reusable intelligence layers, enabling faster productization, tighter workflow integration, and a more scalable path to expansion.
Expansion path
The long-term opportunity is an intelligence ecosystem that compounds across meetings, workflows, and enterprise decision systems.
Investor snapshot
Stage
Early-stage opportunity
Focus
Decision intelligence infrastructure
Initial wedge
AI-native workflow products
Expansion path
Scalable intelligence ecosystem
Platform vision
MMinds is positioned to scale through a coordinated set of AI-native solutions that deepen enterprise context, strengthen workflow ownership, and expand into adjacent decision surfaces.