Instant call insights,
from one call to thousands
Upload recordings or connect your PBX, CRM, or other call recording sources — Call Prism analyses each call in about two minutes. Run the full platform in the cloud or deploy entirely on-premises. A handful of calls returns results before your next meeting; scale to thousands overnight without extra setup.
Built for any call center team
From raw audio to actionable insights — every call scored consistently and ready in minutes, at any volume, in the cloud or fully on-premises.
Transcription & Speaker ID
WhisperX delivers word-level transcripts with timestamps. PyAnnote separates speakers, and an LLM assigns roles — agent, customer, IVR — even in multi-operator and routed call flows.
Industry-aware Scoring
Scoring criteria tailored to Help desk, Banking, Delivery, and Generic call types. The platform detects the call industry automatically and applies the right rubric with a confidence signal.
Agent Coaching
Per-call report covering resolution status, issue identification, conversation fullness, strengths, missed opportunities, and a specific coaching tip — ready in about two minutes.
Checklists & Scripts
Define evaluation criteria per team or client. Each item is assessed with transcript evidence. When agent scripts are configured, the platform also scores adherence automatically.
Knowledge Base Grounding
Upload PDF, Markdown, or Word files to build a vector index. Every call is then scored on how faithfully the agent used your knowledge base — catching gaps and inconsistencies.
Trend Analytics
Two calls or two thousand — summaries, score distributions, and trend charts are ready the moment processing completes. Compare teams, dates, and topics at a glance.
On-Premises Deployment
Run the full stack — ingestion, GPU pipeline, storage, UI, and Aura — entirely inside your network. Keep recordings, transcripts, and reports on infrastructure you control.
Aura — your built-in assistant
Ask questions in plain language — Aura looks up batches, call reports, and knowledge bases, then runs analysis when you need it. Attach audio to create a batch and start processing without leaving the chat.
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Explore reports
List batches and calls, open full reports with scores, coaching tips, and transcript highlights — Aura pulls live data from your tenant.
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Knowledge base Q&A
Search indexed documentation and get grounded answers about policies, products, and procedures linked to your call center.
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Run analysis from chat
Create batches, upload recordings, launch the pipeline, or process a single call — Aura executes actions on your behalf with tenant-scoped permissions.
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Persistent chat sessions
Multiple conversations with full history, so supervisors and QA leads can return to ongoing investigations and follow-up questions.
Results in minutes, scale to thousands
Submit two calls or two thousand — the same GPU pipeline handles both. Individual calls return in about two minutes; large batches run overnight with no extra configuration.
Upload
Drop audio files, upload a folder or ZIP, or connect your PBX, CRM, or other recording source via the REST integration. Recordings land in S3 and a batch is created instantly — even a single file starts the pipeline immediately.
Transcribe
WhisperX transcribes every utterance with timestamps. PyAnnote separates speakers. An LLM assigns roles — agent, customer, IVR — even in multi-operator and routed call flows.
Analyse
The scoring engine evaluates agent performance, customer satisfaction, checklist adherence, script following, and knowledge-base grounding — all in a single pipeline run, ~2 minutes per call.
Report
Per-call reports with composite score, coaching tips, and audio playback appear as each call finishes. Batch summaries and score distributions update automatically.
See Call Prism in action
Fill in the form and we'll get back to you within one business day with a personalised walkthrough of the platform for your team.
- Live walkthrough tailored to your industry
- Bring your own recordings — we'll run them through the pipeline
- Cloud and fully on-premises deployment options
- Questions and answers with the engineering team
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