Tara

Tara AI is designed to help software engineering teams measure, optimize, and take action on metrics to drive meaningful results. It centralizes and enriches engineering work, linking issue tracking and Git source control, to give teams real-time visibility and alerts on delivery.

Tara addresses common pain points that engineering teams face, such as manual tracking and cobbling together source control and issue tracking systems. The platform is designed to increase engineering productivity and visibility into customer delivery, so teams can get products to market faster and more reliably.

Some of Tara AI's key features include:

• Real-time Insights: Offers immediate visibility into engineering delivery and customer outcomes.
• Optimization Tools: Improves engineering efficiency by aggregating and reconciling performance data.
• Prioritization: Helps teams make informed decisions by linking engineering work to customer value.
• Two-Way Issue Sync: Integrates with GitHub to import issues and synchronize with active commits and pull requests.
• Requirements Management: Allows for detailed technical specifications, task assignments and cross-team collaboration.
• Sprint Planning: Streamlines sprint management with recurring sprints, task prioritization and automated reporting.

Customers have seen notable improvements in productivity and delivery speed after implementing Tara AI. Engineering leaders have reported increased confidence in addressing bottlenecks and driving excellence.

Tara offers several pricing tiers:

• Insights Core: $25 per contributor/month (annual billing), offers actionable insights, engineering performance and health, and up to 100 synced repos.
• Insights Plus: $35 per contributor/month (annual billing), adds features like AI-driven insights, allocations by issue status, and Jira integration.
• Enterprise: Custom pricing for departments and organizations, offers private cloud instances, unlimited teams and custom integrations.

Tara's features and pricing are designed to help engineering teams measure, optimize and improve their work, making it a useful tool for companies looking to improve their software development processes.

Published on June 14, 2024