Agaton: Stockholm-based AI conversation intelligence platform that analyzes sales and customer calls to surface buying signals, coach reps, and turn conversations into revenue insights. Scriberr: Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript. This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Agaton when coaching sales reps in real time during calls to improve objection handling and closing matters most, and Scriberr when researchers and journalists generating diarized transcripts of recorded conversations matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
Stockholm-based AI conversation intelligence platform that analyzes sales and customer calls to surface buying signals, coach reps, and turn conversations into revenue insights.
Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript.
Agaton is a Stockholm-based AI conversation intelligence and revenue intelligence platform built for sales and customer-facing teams. The product applies voice AI to analyze agent-customer calls, aiming to review interactions rather than only a sampled subset, and surfaces signals such as buying intent, objections, sentiment shifts, and engagement levels. From these signals it generates personalized, real-time coaching guidance for reps during conversations and quality-and-compliance insights that help managers make faster decisions. Agaton evaluates sales skills like objection handling, closing technique, rapport building, and negotiation, and integrates with existing tools in the sales stack including dialers, CRM, Teams, Slack, and email. The company positions Agaton as an autonomous AI co-worker that automates core workflows so reps can focus on relationships and closing. As a European company, Agaton emphasizes European data-privacy standards, GDPR compliance, ISO 27001 certification, and automatic redaction of personally identifiable information. It was founded in 2024 and reports a customer base that includes Nordic enterprises. It is a newer, regionally rooted alternative to large US-based conversation intelligence incumbents. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Scriberr is an open-source, self-hosted audio transcription application aimed at people who want to keep recordings and transcripts on their own hardware. It uses the open-source Whisper family of models (via the WhisperX engine) to transcribe audio and video files entirely offline, with no requirement to send data to a cloud provider. The project is distributed under the MIT license and is packaged as a single binary, with a Go backend and a Svelte frontend compiled into the binary, while Python handles the underlying AI transcription. Beyond raw transcription, Scriberr can automatically detect and label different speakers (diarization), generate summaries using custom prompts, and let users chat with a transcript by connecting to Ollama or OpenAI-compatible providers. It includes a transcript reader with playback follow-along and seek-from-text, a built-in audio recorder, note-taking, and a folder watcher plus API endpoints for automation and integration with tools like n8n. The maintainer publicly noted development is paused but not abandoned, and community contributions are welcome; the most recent release at the time of review was v1.2.0 in December 2025. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Agaton is a free tier with paid upgrades (freemium); Scriberr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Agaton | Scriberr |
|---|---|---|
| Core capability | AI analysis of agent-customer sales calls with quality and compliance monitoring | Local, offline transcription using Whisper models via the WhisperX engine |
| Standout feature | Real-time, personalized coaching delivered during live interactions | Automatic speaker diarization (who said what) |
| Team usage | Buying-signal, objection, and sentiment detection | AI summaries with custom prompts via Ollama or OpenAI-compatible providers |
| Integrations | Sales-skill evaluation (objection handling, closing, rapport, negotiation) | Chat with your transcripts to ask questions and pull insights |
| Languages & capture | CRM, dialer, Teams, Slack, and email integrations | Built-in audio recorder and note-taking on transcripts |
| Best-fit workflow | Automatic PII redaction with GDPR and ISO 27001 focus | Folder watcher and API endpoints for automation workflows |
Agaton
Choose Agaton if you need coaching sales reps in real time during calls to improve objection handling and closing — strengths include european, gdpr-compliant approach with iso 27001 certification appealing to eu/emea teams.
Scriberr
Choose Scriberr if you need privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure — strengths include fully self-hosted and offline, keeping audio and transcripts on your own hardware.
Agaton
Scriberr
It depends on your workflow. Agaton is strong for coaching sales reps in real time during calls to improve objection handling and closing, while Scriberr is strong for privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure. Both transcribe and summarize meetings.
Agaton is a free tier with paid upgrades and Scriberr is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Yes. Many teams run more than one meeting assistant when the workflows are complementary.
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