Overview
Hivel gives engineering leaders a complete view of how their teams are working and how AI tools are affecting real outcomes like speed, quality, and productivity. As AI becomes a natural part of software development, it is important to look beyond Cursor/Copilot adoption reports. Leaders need to know if AI is helping the team move faster, reduce rework, and improve output. Hivel makes this easy by showing the true impact and ROI of AI inside everyday engineering work.
But Hivel is not only about AI. Many teams struggle with low visibility, slow cycles, unclear ownership, and uneven workload across engineers. These issues affect delivery, quality, and morale. Hivel connects with your code repositories, ticketing tools, CI and CD systems, and calendars to bring all your signals into one place. This gives you a full and honest picture of how work moves across coding, review, merge, and release. This helps leaders act early, prevent overload, and give teams more time for focused coding.
Below is a simple view of what Hivel helps you understand and improve:
AI Impact & ROI Measurement:
Track the amount of AI-generated code that reaches production, and measure its impact on speed, quality, and rework. Also link these improvements to financial ROI to guide investment decisions.
Hivel Score for Standardized Performance:
Use the Hivel Score to compare performance across teams, regions, seniority levels, and product lines, ensuring consistent and fair evaluations.
AI Code Review Agent:
Automate first-pass code reviews, reducing the cognitive load for human reviewers by 60-70% and speeding up the review process.
Cost Capitalization & Investment Tracking:
Track software costs and align them with business goals. Hivel automates audit-ready software capitalization from epics and PRs, making financial tracking easier.
Goal Tracking & Alignment:
Align engineering goals with business objectives and track progress in real-time, ensuring teams focus on high-priority tasks that drive success.
Performance Appraisals:
Make performance reviews more data-driven by tracking key metrics like cycle time, deployment frequency, and hotfix PRs.
Work Item Breakdown:
Visualize work spent on tech debt, customer success tickets, and roadmap work, helping you track team focus and prioritize efforts.
Pull Request Management:
View PR status in real-time and prioritize those that need attention, speeding up the review process and reducing bottlenecks.
Deep Work Tracking:
Monitor how much time developers spend on focused coding (deep work) versus meetings and distractions, helping you reduce burnout and boost productivity.
Process:
Get a full view of the coding process, from coding to review to merge, so you can identify blockers at every stage.
Alerts:
Receive real-time alerts for delivery delays, quality issues, or gaps in AI adoption, helping you stay ahead of problems and take action quickly.
Activity Tracking:
Get a 360-degree view of individual performance and productivity, so you can spot overloaded developers and identify the ones stuck.
Highlights
- Clear AI Impact and ROI: Understand how AI affects speed, quality, and rework, and assess the real business value of AI tools like Cursor & Copilot.
- Unified Engineering View: Combine all engineering signals from GitHub, Jira, CI/CD, and calendars to get one accurate picture of team performance.
- Better Team Health and Output: Spot overload, prevent burnout, improve review times, and remove blockers to help teams deliver better work.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/month |
|---|---|---|
Enterprise | Based on git contributors | $7,000.00 |
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no refund
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Hivel includes a hands-on partnership model led by our DevEx engineers. This team reviews your current data hygiene, helps set clear change goals, and works closely with your DevOps teams and engineering leaders to build an outcome-focused plan. They also prepare Insights Reports that show progress over time. These reports help you explain improvements, AI impact, and engineering outcomes to your board or leadership team. This model ensures you always have guidance, ongoing support, and a clear path toward stronger engineering performance.
For support, reach out to us at hello@hivel.ai
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

Standard contract
Customer reviews
From Anarchy to Data: How Hivel Gave Our Dev Productivity Real Metrics
Ease of Use Drives Adoption: The clean, uncluttered interface is a major factor in Hivel's success. This directly correlates to a high frequency of use; it's not a tool they are forced to use, but their natural daily hub for productivity metrics tracking.
Responsive Customer Support: During the implementation phase and beyond, the customer support has been exemplary. They are responsive, knowledgeable, and have acted on our feature suggestions, making us feel like a true partner.
Gaps in User Activity and Data Consistency: We have encountered ongoing issues where contributor activity data is missing or incomplete for certain team members.
Before Hivel: Our development workflow was fragmented across multiple specialized tools. This caused lack of a single source of truth.
How Hivel Solves It: Hivel acts as a unified "Command Center" that consolidates project management, task tracking, and critically code integration into a single platform.
As a TPM, I can see the entire story from the initial task and time spent to the specific code commits and PRs in one place.
2. Problem: Anecdotal vs. Data-Driven Decision Making
Before Hivel: Our understanding of team velocity, and developer productivity was often based on manual Jira reports, spreadsheets, and stand-up updates. This was time-consuming, prone to error, and often subjective.
How Hivel Solves It: Hivel automates the collection of key engineering metrics by directly integrating with our Git repositories. It automatically links development activity (commits, PRs) to JIRA tickets, providing objective data on metrics like lead time, deployment frequency, and cycle time.
I can now move from asking "How is the project going?" to presenting data that shows, "Here is our lead time for the last sprint, and here is the trend." This shifts conversations from blame to improvement.
Outstanding Products That Exceed Expectations
Intuitive Task Management with Some Room for Improvement
Streamlines Bottleneck Identification, Needs Better Customization & GitHub co-pilot tracking
Hivel Supercharged Our Team’s Performance and Code Quality
I’m an active user of the Goals module and several Git-metric tracking features. Hivel genuinely feels like a superpower for me as an Engineering Manager.
Hivel offers a wide range of powerful features that are extremely easy to use and highly intuitive. Their product support is exceptional. I’ve never had to wait more than 24 hours for a response.
Whenever I’ve faced an issue, the team has been quick to jump on a call and help resolve it immediately. Truly impressive support.