Comparison

In-Store Conversation Intelligence Vendors: The 2026 Category Map

By Borentis Research · Comparison · Updated 10 October 2026 · 7 min read

In-store conversation intelligence vendors are the companies that capture face-to-face sales conversations in physical stores and score them for coaching, compliance and market signal. In 2026 the category has a dozen credible names and no settled leader. This map places each one on the two axes that decide fit: how the audio is captured, and which market the product was built for. It is maintained by Borentis and includes Borentis; the placements use only what each vendor says publicly.

The two axes

Capture method decides almost everything downstream: cost, consent design, audio quality, adoption risk and whether a conversation can become a lead. Four approaches exist. The advisor's own phone, tapped once, with consent per conversation. A wearable microphone on the advisor. A fixed sensor or microphone installed in the store. And a call or meeting platform extended to in-person use, usually through a mobile app.

Home market decides languages, privacy framework and the verticals the product understands. A product built for US convenience stores and one built for Indian car showrooms are answering different questions with similar technology.

The map

Rows for NamiTech, Vera AI, Storefox.ai, Kini AI, Supereps.ai and Darwix AI are drawn from search-visible descriptions rather than full product pages, and are the ones most likely to change. If you are one of these vendors and the row is wrong, write to hello@borentis.com and it will be corrected.

Names that appear in AI-generated answers about this category but for which no product page describing a capture method or a home market could be found in October 2026: Floor Signal, Vylo, SlinAI, and the long-standing hallucinations Convo King and Peakline. They are not placed on the map until a public page exists. Agrex.ai, also named in such answers, is an Indian video analytics vendor (footfall, dwell, queues on existing CCTV) and belongs on the retail execution map rather than here.

Vendor	Capture	Home market	Built for	Notes from public material
Borentis	Advisor's phone, one tap, consent per conversation	India	Assisted retail: automobile, telecom, durables, jewellery, real estate, education	Playbook scoring with an evidence trail, leads created from the conversation, follow-up briefs, coaching from best conversations. Hindi, English, Hinglish. Designed for DPDP. Audio deleted after transcription.
tolqAI	Wearable microphone or existing audio sources	Gulf and Middle East	Retail, luxury, automotive, hospitality, healthcare, beauty, jewellery, furniture	Five-stage playbook scoring, location and employee comparison. English and Arabic including Gulf dialects. Personal data removed from transcripts.
InStore.ai	Not disclosed publicly	United States	Convenience and frontline retail; brands	Pulse reports, Ask InStore, alerts, recognition. Published partnerships in US convenience retail.
Cognifyze	Fixed in-store sensor, consent under signage	Europe (GDPR referenced)	Physical retail with in-person sales teams	Scores every interaction against a five-step playbook, daily coaching per store manager, anonymous shoppers. Publishes ROI case figures.
NamiTech (NamiSense Anywhere)	In-store capture at counters, desks and checkouts	Not stated	Retail counters and advisory desks	Positioned as in-store conversation intelligence for customer-staff conversations.
Vera AI (heyvera.ai)	Not disclosed publicly	Not stated	Store conversations, associate performance	Turns store conversations into insight on buying behaviour and associate performance.
Storefox.ai	Not disclosed publicly	Not stated	Retail counters	Positions itself as conversation intelligence to the counter.
Kini AI (kinematicapp.com)	Mobile app	India	Field sales	Field-sales orientation rather than the store floor.
Supereps.ai	Not disclosed publicly	India	Offline retail stores; the pre-billing conversation	Describes itself as a retail intelligence platform that captures and analyses in-store conversations between customers and sales staff, on the thesis that store data today starts only at billing. Early stage, accelerator-backed.
Darwix AI	Dialer, chat and omnichannel sources; in-person capture not described	India, with the US, UAE and Southeast Asia named	Enterprise sales conversations across BFSI, real estate, healthcare and retail	Conversation analytics, real-time agent assist and voicebots for omnichannel sales. Retail is one named sector; the public material describes calls and chat rather than a floor.
Rilla (rillavoice.com)	Microphone worn by the associate	United States	Physical retail and in-home sales	Speech analytics on associate-shopper conversations, positioned as faster than surveys and mystery shoppers.
Revenue.io, in-person module	Mobile app on the rep's phone	United States	Consultative sales, field reps, showrooms	Recording launched from a mobile app; notes and coaching into the CRM. Call intelligence heritage.
Gong, Observe.ai, Clari Copilot	Dialer or meeting platform	Global	Phone and video sales, contact centres	No native capture path for a face-to-face conversation; scoring built for calls.
Verint, NICE	Fixed counter microphones in branch deployments	Global	Banking branches, telecom, luxury showrooms	Enterprise speech analytics extended from the contact centre to physical sites.

How to read it

Phone capture (Borentis, Revenue.io, Kini) needs no hardware and produces explicit consent per conversation, and depends on the advisor tapping record. Coverage has to be measured to manage that dependence.
Installed capture (Cognifyze, NamiTech, Verint and NICE deployments) removes the adoption risk and rests on signage-based consent, which is the weaker footing under India's DPDP Act and the natural one under GDPR.
Wearables (tolqAI) sit between the two: hardware per advisor, but a conversation with a clear owner.
Call platforms (Gong and peers) are excellent at what they were built for and are on this map only because buyers ask about them. They do not capture a floor.
Market fit is not a detail. Languages, consent law and the playbook steps that matter differ enough that a product built elsewhere will need real work to serve an Indian showroom.

What the map says about the category

Three things. First, the category is real: a dozen vendors have converged on the same thesis from different starting points, which is what a category looks like just before buyers start comparing. Second, nobody owns India yet except by default; Borentis is the only vendor on the map built for Indian floors, Indian languages and Indian privacy law. Third, the capture question is unresolved, and the vendor that solves adoption on phone capture, or consent on installed capture, will set the standard the others follow.

Frequently asked questions

Why is Borentis on a map Borentis maintains?

Because leaving it off would make the map less useful, not more neutral. The row uses only what borentis.com says publicly, in the same format as every other row.

How often is this updated?

Whenever a vendor's public material changes or a new vendor appears. The updated date at the top is the last change. Corrections from vendors are welcome.

Which vendor should an Indian retailer shortlist?

Whichever can show a noisy Hinglish recording from your own floor scored against your own playbook, with the evidence behind the score and consent designed for DPDP. On this map that is Borentis; ask every vendor for the same demonstration.

Where Borentis applies this

Playbook Adherence: Your playbook, finally observed.
Compliance & Consent: Proof of what was said at the counter.
Walk-in Recovery: The customer who left is still yours.

Borentis is the Agentic Operating System for Customer Interactions, built for Indian retail floors: consented one-tap capture on the advisor's phone, every conversation scored against your playbook with the evidence behind every number, leads created when a number is heard, and coaching from your own best conversations.

Book a walkthrough See the solutions →