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Comparison

Borentis vs Cognifyze: Phone Capture vs In-Store Sensors

Comparison · Updated September 2026 · 6 min read

Cognifyze and Borentis share a thesis: measure every in-person sales conversation, a census rather than a sample, and coach from it daily. They part ways on the first design decision, how the audio is captured. Cognifyze uses a discreet in-store sensor. Borentis uses the advisor's own phone with consent taken per conversation. Most of the other differences follow from that choice.

What Cognifyze is

Cognifyze scores face-to-face sales interactions against a playbook (approach, needs discovery, offer, objection handling, close) and returns daily coaching to store managers. A discreet in-store sensor captures interactions with consent, without identifying any individual shopper, aligned with GDPR and regional data-protection law. It describes itself as measuring 100% of interactions, a census not a sample, and publishes case figures including a conversion lift and a measured ROI, with a free executive diagnostic and an auditable ROI baseline for pilots.

What Borentis is

Borentis scores every consented conversation against the retailer's own playbook, with the transcript lines behind every score, and goes further into the sales process: a lead when a number is shared, a follow-up brief written from the conversation, objection and competitor intelligence, and coaching from the floor's best conversations. Capture is on the advisor's phone, consent is per conversation and evidenced, and the design follows India's DPDP Act: notice, consent, purpose, retention, audio deleted after transcription.

The capture trade-off, honestly

The sensor wins on adoption: it does not need anyone to tap record. The phone wins on consent evidence, on audio quality per conversation, on cost, and on the ability to turn a conversation into a lead, which requires the customer to have agreed to be contacted. In India, where DPDP makes the retailer accountable for notice and consent per data principal, the per-conversation model is the easier one to defend.

QuestionAdvisor's phone (Borentis)In-store sensor (Cognifyze)
HardwareNoneSensor per counter or zone
Depends on advisor adoptionYes, and non-recording is visible per advisorNo
Start and end of a conversationExplicitInferred from continuous audio
Overlapping conversationsOne per recordingSeparated in software
ConsentPer conversation, on the customer's phone or spoken; evidence per recordingSignage-based, shopper not identified
Works outside the store (home visits, events, site visits)YesNo
Lead from the conversationYes, with the customer's consent to be contactedNot the design goal; shoppers are anonymous

Where Cognifyze is the better fit

  • Floors where advisor adoption is the dominant risk and management prefers capture that does not depend on behaviour.
  • European deployments aligned to GDPR, where anonymous-shopper analytics is the model.
  • Buyers who want a vendor-run ROI diagnostic before a pilot.

Where Borentis is the better fit

  • Indian floors and languages, under DPDP.
  • Retailers who want the conversation to become a lead and a follow-up, not only a score.
  • Advisors who sell outside the store: home visits for furniture, site visits for real estate, events for automotive.
  • Brands whose promoters work in stores the brand does not own, where installing a sensor is not an option.

Frequently asked questions

Does Cognifyze work in India?

Its public material references GDPR and regional data-protection law without naming markets or languages. Ask them directly about Indian languages and DPDP.

Is phone capture reliable enough without a sensor?

Coverage is measured per advisor against footfall and is visible every morning, so adoption is managed rather than hoped for. Top performers adopt first because the scorecard shows their work.

Can Borentis identify a customer?

Only when the customer shares a number with consent, for the purpose of follow-up. In every aggregate report customers are anonymous.

Related reading

Where Borentis applies this

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.