The speech analytics market in Russia is undergoing a generational shift. Legacy solutions — Mango Office, SpeechAnalytics, Smart Dialog — were built on keyword search and manual rules. That worked in 2018. It no longer works today.
Companies no longer want to simply know that a manager said the word "discount". They want to understand: did the sale happen? Why did the client leave? Which manager actually brings in money?
This divides the market into two camps. The old camp: transcription + keyword search + manual manager review. Expensive, slow, requires a dedicated analyst. The new camp: AI understands the meaning of conversations, automatically fills CRM, and gives managers ready-made insights — no manual listening required. dzyrd is the new camp.
| Company | Category | Min. entry | Free trial | Main advantage | Downsides |
|---|---|---|---|---|---|
| dzyrd | Call management | 0 ₽ | ✓ | Auto-fill fields from calls, AmoCRM + Mango | New brand |
| AudioInsights | Basic analytics | 5,490 ₽ | ✓ | Low price | Basic reports only |
| imot.io | Omnichannel | 53,990 ₽ | ✗ | Voice, chat, video | Expensive, hard to start |
| Rechka.ai | Assistant | 60,000 ₽ | ✗ | Meeting summaries | No sales logic |
| BeWise.ai | Revenue management | On request | ✗ | Real-time coaching | Non-transparent pricing |
| Mango Office | Legacy | 300 ₽+ | ✗ | Built into telephony | Outdated approach |
| Yandex SpeechSense | Infrastructure | ~2 ₽/min | ✗ | Best recognition | Requires a developer |
| Calltouch | Omnichannel | 20,000 ₽ | ✗ | AI + marketing bundle | No CRM auto-fill |
| MetaMentor | Basic analytics | 50,000 ₽ | ✗ | Transcription + script % | No forecast, no CRM |
| Smart Dialog | Legacy | 10M+ ₽ | ✗ | Call center control | Very expensive |
Why dzyrd stands out from competitors
1. AI fills fields automatically — not the manager
Most analytics systems give you a call transcript. The rest is up to you. Listen, read, manually copy into CRM. dzyrd works differently. You configure fields once: "Client name", "Was there a greeting?", "Deal amount", "Reason for refusal". Then AI automatically extracts this data from every call and fills the card without any human involvement.
And the entire processing happens in a single AI request — all fields are analyzed simultaneously. This is faster and saves tokens compared to competitors that send a separate request for each field.
2. Flexible field types for any business process
Need to record a fact? Use a flag field: "Was an upsell offered — yes/no". Need an amount? Numeric field: "Quoted price — 85,000 ₽". Need a list? "Client objections — price, timeline, competitor". Need extended text? String field: "Call summary — the client was interested in a bulk order, promised to call back on Friday".
3. Mango Office and AmoCRM integration out of the box
Russian sales teams work in AmoCRM and call via Mango. dzyrd connects to both without hassle. Call goes through Mango → dzyrd automatically picks up the recording → transcribes it → AI fills the fields → data syncs with AmoCRM. Done. The manager just sells, the system writes everything for them.
4. Dashboards and conversion charts in real time
A manager opens dzyrd and sees: how many calls today, conversion rate per employee, where script gaps are, how many minutes remain in the subscription. The system calculates overage minutes and automatically charges — no need to track the balance manually.
5. Transparent pricing: subscription + honest overages
dzyrd charges a fixed monthly fee — a set number of transcription minutes included. Need more? Overages are billed at a fair per-minute rate, no hidden multipliers. Compare that with imot.io (from 54,000 ₽/month with no trial), Smart Dialog (from 10M ₽ for implementation), or BeWise.ai ("on request" pricing — meaning expensive and opaque).
Honest comparison: dzyrd vs key competitors
dzyrd vs Mango Office
Mango is telephony with keyword search bolted on. It can find "discount" or "competitor" in a recording. It cannot understand context, does not auto-fill CRM, and does not build a call funnel. dzyrd is a standalone analytics platform that integrates with Mango as a data source. You get Mango telephony plus dzyrd intelligence.
dzyrd vs imot.io
imot.io is a powerful tool for large call centers with omnichannel analytics. Minimum entry — 54,000 ₽/month, no free trial, implementation takes weeks. dzyrd is for businesses that need results now, not next quarter. If you have 10–30 managers rather than 500 operators, imot.io is a 5–10x overpayment.
dzyrd vs Yandex SpeechSense
SpeechSense has the best speech recognition in Russia. But it is infrastructure, not a product. You need a developer to build integrations, set up analytics, and create dashboards. dzyrd uses the same recognition technology under the hood but ships as a ready-to-use product. No technical team — not a problem.
dzyrd vs MetaMentor
MetaMentor measures script completion percentage — binary: "said it / didn't say it". Price from 50,000 ₽/month. dzyrd goes further: not just flags script compliance, but extracts meaningful data, fills the deal card, and syncs with CRM. And it costs less.
Who dzyrd is best for
| Situation | Recommendation |
|---|---|
| Sales team 5–50 people, Mango + AmoCRM | dzyrd — start at 0 ₽, results on day one |
| Call center 200+ operators, omnichannel | imot.io or Smart Dialog |
| Need transcription only, no analytics | AudioInsights or Yandex SpeechSense |
| Need real-time manager coaching | BeWise.ai |
| Building custom analytics from scratch | Yandex SpeechSense API |
| Auto dealership or EdTech with industry specifics | OneBoost |
Conclusion
The speech analytics market has long needed a tool that works for mid-sized businesses — no enterprise price tag, no six-month implementation, no dedicated analyst on staff. dzyrd fills exactly that gap. Try it for free — and within a week you will know more about your call quality than you learned in an entire year of manual listening.