Attention is a real-time, fully integrated voice assistant for sales teams designed to accelerate the deal-closing process. It provides sales representatives with actionable intelligence during live calls, automates CRM data entry, and generates personalized follow-up emails using AI. The platform integrates with tools such as Zoom, Salesforce, HubSpot, Gmail, Outlook, and Slack. By recording sales interactions across meetings, emails, and calls, Attention uses AI agents to automate follow-ups, CRM updates, and the creation of coaching scorecards.
Attention integrates directly with your existing sales stack. First, connect your video conferencing, CRM, and email accounts. Once connected, the AI joins your calls to record and transcribe them, providing real-time coaching and automated follow-up capabilities.
Attention integrates with a wide range of tools, including Salesforce, HubSpot, Zoom, Microsoft Teams, Google Meet, Gmail, Outlook, Slack, and many others. It supports over 200 integrations and allows users to request custom integrations.
Attention automates administrative tasks like CRM data entry and drafting follow-up emails, allowing sales reps to focus on selling. It also provides real-time coaching and actionable insights to enhance overall performance.
Attention meets the requirements of TSP section 100, 2017 Trust Services Criteria for Security, Confidentiality, and Availability. The platform helps ensure compliance with local recording laws. Customer data access is restricted to authorized personnel and logged, and the company undergoes annual penetration testing by leading security firms.
Use these comparison pages to understand the trade-offs between the models most relevant to Attention.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.5 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.0 Flash Lite and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.5 Flash and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
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