Product
Rover captures the conversations your team is already having, on the counter, the call, and the field, and turns them into a dashboard your operators can read, an API your agents can query, and coaching your staff can actually use.
Layer 1
Your team already has these conversations every day, at the counter, on the call, in the field. Rover captures them on whatever surface fits how you work.
Four capture surfaces, one secure pipeline. Consent documented at every entry point, data kept in India, with retention and redaction you control.
Always-on ambient microphone for fixed-position conversations. Discreet enclosure, a status light so everyone can see it is on, and a physical mute. Audio is encrypted end to end and stays in your region.
Built for the pharmacy counter, retail checkout, service desk, and reception. Quick to set up.
Bluetooth lapel microphone for one-on-one field conversations. Pairs with a phone or a Rover. Built for sales calls, doctor visits, field rep walks, and in-store consultations.
A phone or BYO camera adds visual context alongside the audio: what was on the shelf, what the customer pointed at, what was filled in on the form. Built for field-service visits, merchandising audits, and in-pharmacy compliance checks.
No hardware required. Record a meeting, upload a file, forward a call, or drop a WhatsApp voice note. Boingg uses it for D2C customer call review.
Consent, built in
Every capture surface ships with documented consent: signage for fixed-position, opt-in for wearable, recording disclosure for software. Data stays in India. Retention and redaction are yours to set.
Built for Indian languages
Tuned for the languages your frontline actually speaks, including the rapid code-switching every shift has.
Layer 2
Between a conversation on the floor and your Monday dashboard, Rover turns raw audio into something your team can act on. Here is what it does for you.
Every turn is tagged to a speaker, and the same speaker is recognised across visits. The dashboard shows who said something, not just that it was said.
Time-coded transcripts with the spoken language attached, tuned for Indian languages and the rapid code-switching that trips up global tools.
Business events attached to the conversation: a customer asked about X, staff offered Y, a competitor was named, a price objection landed, a stockout went unhandled, a regulated claim was made, an upsell opened. The taxonomy is configurable per industry.
Tens of thousands of moments tagged in a single week.
Where consent allows, each moment maps to the staff member who handled it, so coaching and recognition land with the person who lived it.
Topic mix, staff comparisons, the questions nobody on the floor could answer this week. Not a pile of separate reports, but live queries over one continuously refreshed store of signal.
Web dashboard
For the operator
Fleet view → store view → conversation view → moment view. Search and filter by time, store, staff, moment type, or language.
Agent-ready API
For your AI
Your assistant asks ours: show me every conversation last week where a customer asked about a brand we do not carry, ranked by store. The conversations never leave Ostronaut.
Coaching artifact
For the staff member
A 90-second rep tied to the specific moment they got wrong. Built from the real conversation, landed with the person who lived it.
“We built a true multi-agent system from the ground up, so every output is grounded, reviewable, and trusted.”
Coaching
When a moment is worth a follow-up, the same platform turns it into a coaching artifact: a 90-second practice scenario that lands with the staff member who lived that moment.
The scenario is built from the actual conversation: the exact question the customer asked, the six seconds where the answer did not come together. It is the rep that matches the moment, not a generic objection-handling module.
The asymmetry compounds. Every conversation we capture sharpens the next coaching artifact. Curricula get written once and age; real conversations land every day, and the coaching gets sharper the longer you listen.
Moment, captured
Tuesday, 4:12pm. A customer asked about a diabetes brand we do not carry. Staff offered a substitute that needed a doctor’s note. The customer left without buying.
Rep, generated
90-second scenario built from the real exchange. The customer line is the customer’s actual question. The expected response walks the substitution policy. Pass criteria: name the policy, offer the bridge, hold the relationship.
Scored against the same rubric the dashboard reads from.
Landed with the right person
Assigned to the staff member identified in the original turn. Two minutes on a phone, between shifts. The next conversation with the same shape is the measurement.
Fifteen minutes with the founder. We walk a real dashboard from a real store, and sketch what your first week of listening could look like.
