Allstacks provides a software engineering intelligence platform that utilizes machine learning algorithms to deliver accurate project forecasts and identify risks in the software development lifecycle. By consolidating engineering metrics into a single source of truth, it enhances visibility into team performance and aligns development efforts with business objectives.
Funding
$10M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
QVFounders
Product
Problem
Software engineering teams often lack a unified view of their development processes, leading to inaccurate project forecasts and difficulty in identifying risks early in the software development lifecycle. This lack of visibility hinders alignment between development efforts and overall business objectives.
Solution
Allstacks provides a software engineering intelligence platform that consolidates engineering metrics into a single source of truth, offering enhanced visibility into team performance and project health. By applying machine learning algorithms, the platform delivers accurate project forecasts and identifies potential risks that could impact delivery times. This enables engineering leaders, managers, and product leaders to make data-driven decisions, optimize team performance, and align development efforts with business goals. The platform helps teams deliver projects on time by proactively eliminating delivery risks and understanding trends and bottlenecks.
Target Audience
The primary users are engineering leaders, engineering managers, and product leaders seeking to align development efforts with business goals, improve team performance, and deliver software more predictably.
Features
- Unified dashboards and reports for data visualization and sharing insights with stakeholders
- Machine learning algorithms for accurate delivery estimates and identification of process issues
- Goal setting and alerts to proactively eliminate delivery risks
- Performance metrics and KPIs to optimize team performance and prioritize work efficiently
- Integrations with existing SDLC tools, including Bitbucket, GitLab, Jenkins, Jira, CircleCI, Azure DevOps, and GitHub
- Shareable dashboards and reports for up-to-date information
- Automated grouping of data from across the SDLC for a holistic view of team progress