Get the full picture on your AI adoption and impact.

We'll show you exactly how AI is impacting your speed and code quality.

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Hivel for Platform Engineering

Platform teams are measured on whether other teams ship faster. Now you can prove it.

Hivel gives platform engineering teams one view of developer productivity outcomes, platform delivery health, AI tool adoption, and infrastructure investment impact. Prove the platform is moving dev velocity, not just shipping internal tools.

Your platform should make every other team faster. Proving it is the hard part.

You build internal tools, golden paths, and developer infrastructure. The teams who adopt them ship faster. The teams who don't keep raising tickets. The data showing which is which sits across five different systems.

DPE outcomes live in survey screenshots

Developer satisfaction surveys run twice a year and tell you sentiment, not outcomes. Whether your platform actually moved cycle time and deployment frequency stays unmeasured.

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Golden path adoption is invisible to leadership

A new internal tool launches. Three teams pilot. Six months later, nobody can tell you who's on the golden path and who's still on legacy.

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Platform spend is treated as overhead

Infrastructure cost is a line item. Whether that investment translated into faster delivery, fewer incidents, or better developer experience is a question Finance keeps asking and platform can't answer.

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Four tabs. Every angle on engineering effort.

"Are teams on our golden paths actually shipping faster than teams that aren't?"

Compare delivery metrics across product teams to see where golden path adoption correlates with faster cycle time, higher deployment frequency, and lower rework. Replace twice-a-year sentiment surveys with continuous outcome data the platform team can act on every sprint.

"How is the platform team itself delivering against its own commitments?"

Run the same delivery dashboards on the platform team that product teams use. Cycle time, review coverage, sprint completion, rework percentage. The internal tool builder gets held to the same standards as the teams it serves.

"Which teams have adopted Copilot or Cursor, and how deeply?"

See AI tool adoption depth across every team your platform supports. Identify power users, surface laggard teams, and target enablement where it lands. Make the rollout decision with data instead of assuming uniform adoption from a license purchase.

"Did the infrastructure investment actually move developer velocity?"

Compare infrastructure spend trends against delivery outcomes quarter over quarter. When cycle time dropped and deployment frequency climbed, the data shows whether platform investment caused it. The answer Finance keeps asking for, calculated continuously.

Hivel × Freshworks Case Study Card
Freshworks NASDAQ: FRSH

How Freshworks measured AI impact across 1,500 engineers — in real time

The Challenge

No standard way to measure AI adoption across 1,500 engineers
Couldn't tell which AI tools were helping vs just running
Surveys were the only answer — slow, expensive, inaccurate
1,500+ Engineers · AI ROI Measurement · NASDAQ: FRSH
40% Increase in engineering throughput
50% Reduction in rework and maintenance
25% More features released in key business units
10% Improvement in time-to-market

Frequently asked questions

How do we identify which teams are on our golden paths?

Tag teams or repos with custom labels (golden path, legacy, hybrid) using Hivel's team configuration. Compare delivery metrics across labeled cohorts to see where adoption correlates with cycle time, deployment frequency, and rework improvements.

Does Hivel work for platform teams or only product engineering teams?

Both. Every dashboard supports team-level scoping, so the platform team gets the same delivery health view as product teams. Useful for measuring the platform team's own throughput, review coverage, and sprint accuracy.

Can we compare AI tool effectiveness across Copilot, Cursor, and other tools?

Yes. The AI Impact view supports per-tool breakdowns. See adoption depth, AI code percentage, and delivery metrics for each tool side by side. Useful when running AI tool pilots across different teams or evaluating renewal decisions.

Trusted by 1000+ Engineering Teams

Vaibhav Bansal
V.P. Engineering
"Hivel has been phenomenal in helping us present our progress to leadership. Its insights into leading indicators have empowered our team leads to enhance review efficiency and ship features faster. Now, we are able to show the impact of our process changes, clearly identify areas of opportunity, and bring in a data-driven culture without spending time pulling manual reports."
Murali Swaminathan
Chief Technology Officer
"We were looking for a unique solution to understand engineering productivity and efficiency, with a single tool that could give leaders complete visibility. We evaluated other comparable tools, but none were comprehensive enough. When we came across Hivel, it checked all the boxes for measuring developer productivity across both AI and non-AI workflows."
Derek Mackie
Director of Engineering
"Using Hivel shone a light on the non-standard aspects of our work, emphasizing the need for crucial adjustments. The insights from Hivel helped us recognize areas for improvement, particularly in managing cycle times and streamlining development workflows. This guidance has been instrumental in our efforts to enhance operational efficiency and productivity."
Leonardo Pinheiro Ferrari
Chief Technology Officer
"Thanks to Hivel, we've seen a staggering 157% improvement in our deployment frequency. By identifying and addressing inefficiencies, and adopting best practices, we've significantly accelerated our progress. Hivel has been instrumental in our journey to operational excellence."
Chris Callander
Senior Engineering Manager
"Hivel has been instrumental in identifying areas for enhancement and guiding our strategic improvements. It has significantly contributed to our journey toward greater operational efficiency. The Activity and Dev360 features in Hivel have been particularly valuable for providing feedback to engineers during 1-1's, enhancing our communication and development practices."
Shiro Theuri
Chief Technology Officer
"Before Hivel, understanding our engineering team's dynamics was a game of guesswork. Now, with Hivel's clear dashboards and insights, our leaders have the clarity and time-saving tools they need to excel. It's been transformative in streamlining our operations."
Koti Reddy
Chief Technology Officer
"Incorporating Hivel into our daily operations has been a game-changer. It's not just a tool; it's a part of our strategic decision-making process, trusted by our leaders at every level. The impact on our engineering efficiency is undeniable and deeply valued."
Manoj Awasthi
Chief Technology Officer
"It has been great to partner with Hivel to get access to insights that help leaders at all levels gain visibility into bottlenecks and challenges that the teams face, build actionable plan to resolve them and track the progress over time. And thanks for the fantastic support!"
Ameen M
Engineering Manager
"Hivel has made a huge difference to how I manage my teams. Before every one-on-one or appraisal, I rely on it to dive into developer metrics and drive truly meaningful conversations. It helps me spot rework patterns, reward high performers, and benchmark our teams even against our US counterparts. The dashboards are intuitive, insightful, and honestly far more actionable than anything we get from Jira."
Paras Sood
Associate Director
"Hivel's insights have been pivotal in refining our engineering processes, elevating both efficiency and the developer experience. We're now making smarter decisions, faster, thanks to Hivel."
Vaibhav Bansal
V.P. Engineering
"Hivel has been phenomenal in helping us present our progress to leadership. Its insights into leading indicators have empowered our team leads to enhance review efficiency and ship features faster. Now, we are able to show the impact of our process changes, clearly identify areas of opportunity, and bring in a data-driven culture without spending time pulling manual reports."
Murali Swaminathan
Chief Technology Officer
“We were looking for a unique solution to understand engineering productivity and efficiency, with a single tool that could give leaders complete visibility. We evaluated other comparable tools, but none were comprehensive enough. When we came across Hivel, it checked all the boxes for measuring developer productivity across both AI and non-AI workflows.”
Vaibhav Bansal
V.P. Engineering
"Hivel has been phenomenal in helping us present our progress to leadership. Its insights into leading indicators have empowered our team leads to enhance review efficiency and ship features faster. Now, we are able to show the impact of our process changes, clearly identify areas of opportunity, and bring in a data-driven culture without spending time pulling manual reports."
Derek Mackie
Director of Engineering
"Using Hivel shone a light on the non-standard aspects of our work, emphasizing the need for crucial adjustments. The insights from Hivel helped us recognize areas for improvement, particularly in managing cycle times and streamlining development workflows. This guidance has been instrumental in our efforts to enhance operational efficiency and productivity."
Leonardo Pinheiro Ferrari
Chief Technology Officer
"Thanks to Hivel, we've seen a staggering 157% improvement in our deployment frequency. By identifying and addressing inefficiencies, and adopting best practices, we've significantly accelerated our progress. Hivel has been instrumental in our journey to operational excellence."

"The only tool our entire leadership team actually trusts"

- CTO, Enterprise
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