IN THE FIELD GUIDE
nivision
nivision.ai
Nivision is an AI conversation intelligence platform that transcribes and scores 100% of calls, video meetings, and in-person conversations in over 60 languages, providing live dashboards, alerts, and AI chat to enable actionable insights for sales, service, and contact centers.
THE PRODUCT, BEYOND THE PITCH
Automatically researched · Not editorially reviewed · Sources checked Sep 14, 2026
A good fit for
Not confirmed yet.
Know the limitations
- Coach and Act layers are partially live or on the roadmap, with some capabilities like AI avatar training and autonomous workflows not yet available.
What you can do
- Sales and service teams use Nivision to transcribe, analyze, and score every customer conversation to improve performance and compliance.
Features
- Full call transcription with speaker identification, timestamps, and crosstalk handling, built for Hebrew-native speech.
- Configurable call classifiers with custom fields, summary structures, and scoring rules tailored to different call types.
- Knowledge base attachment to classifiers or fields to fine-tune analysis models with business-specific products, policies, and terminology.
- AI chat over calls allowing users to ask questions and receive answers grounded in real call data.
- Live operations dashboard showing real-time KPIs, sentiment distribution, agent leaderboards, and a live call feed.
Integrations
- Integrates with existing telephony and CRM systems including Voipe and Origami, with more integrations added as needed.
Platforms & data export
Not confirmed yet.
THE COST FOR YOUR TEAM
Go beyond the starting price.
Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.
Known monthly subtotal
$0.00/month
1 of 1 tools could not be priced with these inputs, so this is not the full cost.
| Tool / plan | Monthly | Per year | What this assumes |
|---|---|---|---|
| No pricing recorded yet. Check the official site, or ask the owner to add it. | |||
A practical workflow
- Conversations enter the pipeline live or recorded, then undergo transcription, classification, scoring, insight generation, and finally action via alerts and reports or autonomous workflows.
Based on the sources below. Editorial review does not imply hands-on product testing.
Alternatives to explore
Filter alternatives →Candidates based on category and primary feature. Check feature and pricing differences before switching.
Plan a switch from nivision →What changed
Changes to the facts recorded here, not a live scan of every vendor update. Save this tool to follow updates in your account.
Updated: features, integrations, limitations, sources, use cases, walkthrough
See recorded changes
featuresBefore: ["Full call transcription with speaker identification, timestamps, and crosstalk handling, built natively for Hebrew and other languages.","Configurable call classifiers with custom fields, summaries, and scoring rules tailored to different call types such as sales or service.","Knowledge base attachment to classifiers or fields to fine-tune analysis models with company-specific products, policies, and terminology.","AI chat over calls allowing users to ask questions and receive answers grounded in real call data.","Live operations dashboard showing real-time KPIs, sentiment distribution, agent leaderboards, and a live call feed."]
After: ["Full call transcription with speaker identification, timestamps, and crosstalk handling, built for Hebrew-native speech.","Configurable call classifiers with custom fields, summary structures, and scoring rules tailored to different call types.","Knowledge base attachment to classifiers or fields to fine-tune analysis models with business-specific products, policies, and terminology.","AI chat over calls allowing users to ask questions and receive answers grounded in real call data.","Live operations dashboard showing real-time KPIs, sentiment distribution, agent leaderboards, and a live call feed."]
integrationsBefore: ["Integrates with existing telephony systems and CRM platforms including Voipe and Origami, with more integrations added as needed."]
After: ["Integrates with existing telephony and CRM systems including Voipe and Origami, with more integrations added as needed."]
limitationsBefore: ["Coach and Act layers are partially live or on the roadmap, with some advanced features like AI avatar training and autonomous workflows not yet fully available."]
After: ["Coach and Act layers are partially live or on the roadmap, with some capabilities like AI avatar training and autonomous workflows not yet available."]
sourcesBefore: [{"url":"https://nivision.ai/en","label":"Nivision - AI call transcription & analysis for call centers"},{"url":"https://nivision.ai/en/product","label":"AI Call Analytics Platform | Conversation Analytics Software · Nivision"},{"url":"https://nivision.ai/en/product-tour","label":"Interactive product tour · Nivision"}]
After: [{"url":"https://nivision.ai/en","label":"Nivision - AI call transcription & analysis for call centers"},{"url":"https://nivision.ai/en/product","label":"AI Call Analytics Platform | Conversation Analytics Software · Nivision"}]
useCasesBefore: ["Sales and service teams use Nivision to transcribe, analyze, and score all customer conversations to improve performance and compliance."]
After: ["Sales and service teams use Nivision to transcribe, analyze, and score every customer conversation to improve performance and compliance."]
walkthroughBefore: ["The conversation pipeline includes call capture, Hebrew-native transcription, call type classification and scoring, insight delivery via dashboard and AI chat, and action through alerts and reports with autonomous follow-through planned.","Users can interact with a live dashboard showing volume, scores, sentiment, and live call feed; view detailed call analysis including transcripts and summaries; and receive alerts triggered by defined conditions."]
After: ["Conversations enter the pipeline live or recorded, then undergo transcription, classification, scoring, insight generation, and finally action via alerts and reports or autonomous workflows."]