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. Pluely: A lightweight open-source desktop AI meeting assistant that captures system audio for live transcription and on-call answers without joining as a visible bot. Below, they line up on price, capture method, and how each fits a real meeting stack.
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 Pluely when running a privacy-conscious, locally processed meeting helper via ollama matters most. Run both through a week of actual calls to see which suits your workflow.
Stockholm-based AI conversation intelligence platform that analyzes sales and customer calls to surface buying signals, coach reps, and turn conversations into revenue insights.
A lightweight open-source desktop AI meeting assistant that captures system audio for live transcription and on-call answers without joining as a visible bot.
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
Pluely is an open-source AI meeting assistant created by independent developer Srikanthnani and released in 2025 as a privacy-first, bot-free alternative to commercial in-meeting copilots. Built with Tauri, the app is roughly 10MB and launches quickly, running as an always-on-top overlay on macOS (Apple Silicon and Intel), Windows, and Linux. Rather than sending a participant into your call, Pluely captures system audio and microphone input directly on your device, converts speech to text, and can surface AI responses and notes during a meeting, interview, or presentation. It is bring-your-own-key, so users connect their own provider credentials; it supports a wide range of large language models, including OpenAI, Anthropic Claude, Google Gemini, Grok, Mistral, Cohere, Ollama, and custom endpoints, alongside multiple speech-to-text engines such as Whisper, Deepgram, ElevenLabs, Groq, and Azure. Because it is GPL-licensed and fully inspectable, teams can audit or modify the code, and local model options via Ollama allow processing to stay on the machine. As an indie project it depends on external API keys for most capabilities and is still maturing. Confirm features and any usage policies on the official site. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Agaton is a free tier with paid upgrades (freemium); Pluely is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Agaton | Pluely |
|---|---|---|
| Core capability | AI analysis of agent-customer sales calls with quality and compliance monitoring | Bot-free capture of system audio and microphone for live transcription |
| Standout feature | Real-time, personalized coaching delivered during live interactions | Always-on-top overlay app for macOS, Windows, and Linux |
| Team usage | Buying-signal, objection, and sentiment detection | Bring-your-own-key support for many LLMs (OpenAI, Claude, Gemini, Grok, Mistral, Cohere, Ollama, custom) |
| Integrations | Sales-skill evaluation (objection handling, closing, rapport, negotiation) | Multiple speech-to-text providers (Whisper, Deepgram, ElevenLabs, Groq, Azure, and others) |
| Languages & capture | CRM, dialer, Teams, Slack, and email integrations | Lightweight (~10MB) and fast to launch |
| Best-fit workflow | Automatic PII redaction with GDPR and ISO 27001 focus | Open source under GPL with optional local processing via Ollama |
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.
Pluely
Choose Pluely if you need getting live transcription and ai assistance during meetings without a visible bot in the call — strengths include free and open source with fully inspectable code.
Agaton
Pluely
It depends on your workflow. Agaton is strong for coaching sales reps in real time during calls to improve objection handling and closing, while Pluely is strong for getting live transcription and ai assistance during meetings without a visible bot in the call. Both transcribe and summarize meetings.
Agaton is a free tier with paid upgrades and Pluely is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Often yes: teams combine tools when one handles capture and another handles analysis.
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