Tara AI
Tara AI, formerly known as Gradberry and TARA, is a B2B company based in San Jose, CA, and operates remotely. It offers a platform to help engineering leaders measure and improve efficiency with secure LLMs trained on source control and project data.
Company Overview
Tara AI, formerly known as Gradberry and then TARA, is a San Jose, CA-based company operating in the B2B sector, specifically in the recruiting and talent sub-industry. The company comprises a small team of 13 members and offers remote opportunities. Through their specialized platform, Tara AI helps engineering leaders measure and improve engineering efficiency with fine-tuned, secure LLMs trained on source control and project data.
Services
Tara AI provides a range of services aimed at optimizing software engineering teams' performance. Key features include insights, requirements management, issue tracking, sprint planning, and progress tracking. The platform generates comprehensive views on cycle times, benchmarks, investments, and the overall size and velocity of engineering activities. Tara AI aims to reduce the time to customer deployment by 30% for its users.
Integrations
Tara AI offers extensive integration capabilities with popular tools such as GitHub, Slack, Trello, and Asana. These integrations enable users to streamline their software development processes and enhance collaboration across different teams and workflows.
Clients
Tara AI serves a range of customers including renowned companies like MongoDB, Clearbit, and Prometric. These clients leverage Tara AI's platform to measure, optimize, and act on key engineering metrics, driving impactful outcomes for their software development projects.
Resources
Tara AI provides a wealth of resources to support its users. The company maintains a blog that features insights on product, software, and automation. Additionally, there is a help center offering guides and support, along with downloadable templates for sprint planning and other agile processes. Collections in the help center cover topics such as setting up insights workspace, PR cycle time, developer activity, allocations, issues progress, deployment frequency, and pricing.