Product and engineering teams often struggle to maintain alignment between code development and business goals, leading to missed deadlines, budget overruns, and misaligned priorities. Tracking progress across various communication channels and project management tools is time-consuming and inefficient, hindering effective decision-making.

Braid provides a platform that uses AI program managers to automate the delivery pipeline between code and business outcomes. By building a real-time map of company goals and tracking progress using company data, Braid predicts potential failures and recommends actions to ensure on-time and on-budget delivery. The platform learns an organization's data, processes, and practices to provide prioritized, just-in-time recommendations. Braid integrates with existing communication tools and project trackers, translating notifications into actionable insights and automating updates to task management systems.

AI-powered agents that automate progress tracking, update sharing, and meeting facilitation

Real-time goal mapping and progress prediction using company data

Prioritized recommendations for next-best-action based on learned organizational data

Automated updates to project tracking spreadsheets and task management tickets (e.g. Jira, Linear)

Integration with existing communication tools to translate notifications into actionable insights

Secure data protection with no training of public LLMs on user data

Enterprise-grade security practices with data encryption

Braid targets product and engineering teams aiming to improve alignment between development efforts and business objectives, reduce project management overhead, and ensure timely delivery of results.