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Case studies

What changed after Entelligence went live.

Start with the outcome. Open the case study for the problem, rollout, and evidence behind it.

Organizations
2,444
routing through Entelligence today
Code Review F1
47.2%
8 tools against 67 seeded bugs, 2026 benchmark
Tokens scored
26.0B
across every routed session
Incidents auto-resolved
43%*
closed without a human touching the fix

Published

Newest studies

Each study is one rollout: the company, what changed, and when.

BeFreedHow Entelligence went from a handful of reviews to the default check on every PR BeFreed shipsRead the case studySlashyWhen your code lives in someone's inbox, a bug isn't a log line. It's a sent email.Read the case studyComposioHow Composio uses Entelligence to catch what a fragmented, fast-moving codebase can't catch by handRead the case studySmallest.aiHow smallest.ai keeps a bad deploy from becoming a dropped callRead the case studyUpscale.aiMost bugs at least have the decency to crash. They throw, they log, they leave a trail. The code at UpscaleAI doesn't get that courtesy.Read the case studyStandard MetricsHow Standard Metrics gave its engineering leaders one view of AI spend, team health, and the outcomes that reach productionRead the case study

Archive

Earlier results

BespokeHow Bespoke Labs uses Entelligence : Two of every three comments Entelligence leaves on a Bespoke PR get fixed before merge.DocketHow Docket uses Entelligence to make sure the same bug never ships twiceMindsDBMindsDB builds open-source AI infrastructure for the enterprise.ClodoClodo is a B2B SaaS company whose platform uses AI to help sales and growth teams find, qualify, and reach the right people faster. With a small, fast-moving engineering team, the pace of shipping is a competitive advantage. Their developers already relied on Claude and Cursor asHobbesHobbes builds AI-native collaboration tooling. Their engineering team moves fast, ships often, and generates hundreds of pull requests per sprint. Like many modern engineering teams, they were looking to bring AI into their code review workflow.AllocoreAllocore is a modern lending infrastructure platform handling high throughput financial operations. Their codebase spans dozens of services and languages, from Django to Angular, powering everything from underwriting workflows to regulatory compliance systems.DigibeeDigibee is an AI-native integration-platform-as-a-service (iPaaS) that lets engineering teams link applications, data, and AI workloads without the heavyweight cost of legacy vendors.SybillSybill is a conversation intelligence platform that transcribes sales calls, detects buyer sentiment, and auto-generates follow-up actions, all streamed back into the team's CRM so reps can focus on closing deals.
Showing 8 of 10

See what changes on your code.

Start with one measurable workflow and compare the result against your own baseline — review quality, cycle time, developer response, spend, or escaped issues, depending on what you're evaluating.

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