Free
$0Free plan available.
Charma is an AI-powered people management software designed to help managers and teams succeed. It offers tools for managing people, teams, meetings, and more, providing a guided experience for one-on-ones, team meetings, goal setting, employee recognition, feedback, and 360 reviews. Charma aims to strengthen management, improve team alignment, and foster a culture of continuous feedback and improvement.
Charma provides a platform where managers can conduct one-on-ones, set goals, provide feedback, manage reviews, and automate meeting agendas. Users can integrate Charma with tools like Slack to streamline workflows and enhance team collaboration.
AgendaAI is an AI-powered feature within Charma that automates meeting agendas by connecting to Slack, helping to improve meetings with consistent, AI-generated agendas.
Charma offers AI-assisted tools to help you provide regular kudos and feedback, fostering alignment and inclusion rather than focusing only on the loudest voices. It assists in drafting meaningful feedback to support your team's professional growth.
Charma integrates with Slack, MS Teams, and Zoom to connect directly with your team’s existing tools and workflows.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to Charma.
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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