Ostronaut

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.

  1. 1Capture physical interaction
  2. 2Reconstruct the conversation
  3. 3Detect the business event
  4. 4Attach source evidence
  5. 5Route the next action
  6. 6Measure what changed

Find the revenue, demand, and actions hiding in your customer conversations.

1

Dashboard view

Ranked business impact by store, shift, signal type, and action owner.

2

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.

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

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.

Operational execution signal₹11,800 at risk today
  • Source context

    Today, 11:42 AM · counter capture · Store A

  • Business event
    repeat stockout requestsubstitute not offeredhigh-intent buyer
  • Value at stake

    ₹11,800

    at risk today

  • Confidence level
    High confidence
  • Recommended action
    Restock review + team playbook queuedrouted →

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

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. 1₹11,800 at risk today
  2. 2Substitute not offered
  3. 3Repeat stockout request
  4. 4High-intent buyer walked out
  5. ✓Manager action queued

Illustrative manager view