Kypso

Automates tedious R&D tasks with trusted AI workflows, freeing engineers to focus on high-leverage work, and provides operational transparency and data protection.
Workflow Automation AI Automation Operational Efficiency

Kypso offers trusted AI workflow automation for R&D teams, helping them get more done and work better together. By automating AI workflows that are both understandable and trustworthy, Kypso offers reusable building blocks for common R&D tasks, automating tedious work and letting the best engineers focus on high-leverage work.

Engineering managers have used Kypso to automate tasks like Jira ticket formatting and manual sync work, saving time and ensuring important items aren't overlooked. It fits into existing processes, sending notifications to tools like Slack so it's easy to control and review.

Kypso also aims to increase operational transparency by offering insights into team workflows so teams can optimize and improve efficiency. And it's designed to protect data security and privacy, using the same permissions as original apps to keep sensitive information private.

Some of its features include:

  • Simple Workflow Building: No need to think like a machine to automate tasks.
  • AI Automation: Categorize, create, and complete repetitive tasks, freeing up engineers for impactful work.
  • Integrated Notifications: Receive updates directly in your daily tools.
  • Operational Transparency: Gain insights into team workflows for optimization.
  • Data Protection: Ensures sensitive information remains secure and confidential.

Pricing is straightforward and flexible:

  • Basic: $10 per seat, includes 20 users, and offers unlimited workflows.
  • Enterprise: Custom pricing, unlimited users, unlimited workflows, with priority support over email and a dedicated Slack channel.

By automating manual work and increasing transparency, Kypso helps R&D teams work more efficiently and effectively, letting them get better aligned and work better together without disrupting their existing workflows.

Published on June 14, 2024

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