Software.com automates the collection and analysis of software development data, enabling teams to benchmark performance against industry standards and make informed investment decisions. By integrating with Git providers, it delivers automated metrics and insights that enhance productivity and streamline remote and AI-assisted development processes.
Funding
$15M 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.
Founders
Product
Problem
Software development teams often lack objective data to measure productivity, identify bottlenecks, and justify investments in new technologies or development methodologies. Relying on assumptions and manual data collection can lead to inefficient resource allocation and missed opportunities for improvement.
Solution
Software.com provides an automated platform for collecting and analyzing software development data, enabling engineering teams to benchmark their performance against industry standards and make data-driven decisions. By integrating with Git providers like GitHub, GitLab, Bitbucket, and Azure DevOps, Software.com automatically extracts and visualizes key performance indicators (KPIs) related to developer productivity, code quality, and project delivery. The platform helps teams identify bottlenecks, measure the impact of remote work and AI-assisted development, and track the adoption of tools like GitHub Copilot. Software.com aims to provide actionable insights that improve software delivery and accelerate innovation.
Target Audience
Software.com targets engineering leaders, development teams, and technology executives who need data-driven insights to improve developer productivity, optimize resource allocation, and accelerate software delivery.
Features
- Automated collection of engineering KPIs from Git providers (GitHub, GitLab, Bitbucket, Azure DevOps)
- Industry benchmarks for comparing team performance against peers
- Tools for measuring the impact of AI coding tools like GitHub Copilot on productivity and velocity
- Identification of engineering bottlenecks and constraints in the software delivery pipeline
- Dashboards for visualizing key metrics related to developer experience, code quality, and project progress
- Ability to track Jira metrics and spot release bottlenecks
- Secure, read-only access to Git metadata with data encryption at rest and in transit
- SOC 2 Type 2 compliance