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Dashboard view
Ranked business impact by store, shift, signal type, and action owner.
AI that converts customer conversations into revenue, demand, and next actions.
Ostronaut turns raw conversations across stores, calls, and consultative teams into revenue signals, demand insights, and actions your team or AI agents can act on.
Understands Indic retail speech
Finds business moments
Ready for human or AI follow-up
PharmacyRover · counter capture
Rover Dock
Counter capture sensor
Sits near the action without changing staff workflow.
Missed sale found
- Asked for chronic-care medicine
- Not available
- Alternative not offered
- Line itemPentakind 40
- Demand at risk today₹11,800
Built forhigh-noise counters·code-mixed speech·agent-ready actionsbacked by Goodwater, Harvard & Y Combinator
The missing operating signal
Your systems see the outcome. They miss the conversation that caused it.
A customer asks. A buyer hesitates. A caller raises an objection. A product is unavailable. A substitute is never offered.
The outcome may show up later in sales, CRM, inventory, or support data. But the conversation that explains why it happened is usually gone.
Ostronaut captures that missing signal and turns it into intelligence your business can act on.
Rover edge capture sensor
Capture real-world conversations without changing how teams work.
Rover is Ostronaut's edge voice sensor family for physical environments: counters, floors, showrooms, clinics, and service desks.
It captures noisy, multilingual customer interactions without apps, logins, manual tagging, or new workflows for staff.
Built for places where ordinary microphones and manual notes miss the moment.
CaptureRover Dock
Counter capture sensor
CaptureRover Clip
Staff-side capture sensor
CaptureRover Vision
Spatial context sensor
Already recording conversations? Ostronaut can ingest those too.
Rover captures the physical world. Ostronaut can also work from call recordings, cloud telephony, CRM notes, WhatsApp workflows, and other conversation sources.
Rover or recordings
Ostronaut
Revenue, demand, actions
Rover or existing recordings -> Ostronaut -> Revenue, demand, and next actions
How Ostronaut works
From what was said to what should happen next.
Ostronaut sits after capture and transcription. It identifies the business moment, links it to evidence, and routes the next action to the right human team, tool, or AI agent.
- 1Capture physical interaction
- 2Reconstruct the conversation
- 3Detect the business event
- 4Attach source evidence
- 5Route the next action
- 6Measure what changed
The manager view
Take action on what is costing revenue, blocking conversion, and waiting to be recovered.
Ostronaut turns conversations into a ranked view of business impact: revenue at risk, unmet demand, unresolved objections, missed follow-ups, and coaching gaps.
Every item shows what happened, the value at stake, the source event, and the next action to take.
No manual review. No guessing from lagging reports.
Todayapp.ostronaut.ai/today Updated 7:15 AM
- 1₹11,800 at risk today
- 2Substitute not offered
- 3Repeat stockout request
- 4High-intent buyer walked out
- ✓Manager action queued
Illustrative manager view
One signal. Many actions.
One Signal. Many Actions.
One conversation can trigger revenue, demand, coaching, and follow-up workflows.
Ostronaut makes each signal useful across the business, without forcing teams to manually review the same conversation.
Detected event
One floor moment
↓ matters to every team
Inventory
demand signal detected
Store manager
execution gap found
Training
coaching moment created
Leadership
leakage quantified
Agent workflow
follow-up action routed
Evidence-linked intelligence
Every action keeps its audit trail.
Ostronaut does not send vague insights into the business.
Every event carries the business taxonomy, timestamp, confidence level, source context, and recommended action.
Your team can audit why the system flagged the moment without turning the page into a raw audio or transcript viewer.
- Source context
Today, 11:42 AM · counter capture · Store A
- Business eventrepeat stockout requestsubstitute not offeredhigh-intent buyer
- Value at stake
₹11,800
at risk today
- Confidence levelHigh confidence
- Recommended actionRestock review + team playbook queuedrouted →
Live in the field
Shaped by real deployments, not demo conversations.
Ostronaut has been built and tested across healthcare, pharmacy, retail, education, and learning environments.
The system is built for the conditions where ordinary transcription and manual review break down: background noise, code-switching, overlapping speakers, fast counters, and fragmented staff workflows.
- High-noise retail counters
- Hindi · Marathi · English · code-mixed
- Fixed counter and staff-side capture
- Events routed into manager views
Find the revenue, demand, and actions hiding in your customer conversations.
- Customer asked for unavailable medicine. No substitute offered. Revenue at risk detected.
- Buyer hesitated on warranty. Staff did not address objection. Follow-up action queued.
- Product request repeated across stores. Inventory signal routed to merchandising.
- Complaint pattern detected before it appeared in NPS.
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Coaching moment
Execution gap converted into a store-level playbook, not a raw call review.
3
Micro-learning module
Role-specific practice generated from the pattern, without exposing individual audio feeds.
See what your store floor is already telling you.
Deploy Rover edge sensors, connect your store-floor interactions to Ostronaut, and start turning real-world business moments into actions your team can use.