Gemini 1.0 Pro Deprecated
Handles both text and image inputs for content generation and problem-solving.
Embra is an AI-powered notetaker and operating system designed to streamline business workflows, particularly for sales and product development teams. It integrates with Chrome and other apps to provide contextual data for Q&A, brainstorming, writing, reading, and coding. Embra automates note-taking, email drafting, CRM updates, meeting scheduling, and task management, aiming to unify sales and product development processes.
Embra can be used by connecting it to your G Suite, Zoom, Slack, and other tools. It automatically records, transcribes, and summarizes meetings, drafts follow-up emails, updates your CRM, and helps manage tasks. It also offers AI chat and web research capabilities.
All memories created with Embra are saved within your Workspace. You have complete control over what's shared or kept private.
Nope. The only person we make your data easily accessible to is you.
Embra's Meeting Copilot is free to get started with but only functions like most other meeting assistants. For the full tool, we provide paid plans with more powerful memory features that you can explore on our pricing page.
Use these comparison pages to understand the trade-offs between the models most relevant to Embra.
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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