# Customer Case Studies

> How engineering teams use Entelligence.

Source: https://entelligence.ai/case-study

- [BeFreed : More Code, Fewer Fixes Needed](https://entelligence.ai/case-study/befreed-more-code-fewer-fixes-needed.md): How Entelligence went from a handful of reviews to the default check on every PR BeFreed ships
- [How Slashy Reviews Code That Runs in Your Inbox](https://entelligence.ai/case-study/how-slashy-reviews-code-that-runs-in-your-inbox.md): When your code lives in someone's inbox, a bug isn't a log line. It's a sent email.
- [Composio : What Slips Through When You're Shipping to 250 Integrations at Once](https://entelligence.ai/case-study/composio-what-slips-through-when-you-re-shipping-to-250-integrations-at-once.md): How Composio uses Entelligence to catch what a fragmented, fast-moving codebase can't catch by hand
- [How smallest.ai Keeps 5,000 Businesses' Calls From Going to Dead Air](https://entelligence.ai/case-study/how-smallest.ai-keeps-5-000-businesses-calls-from-going-to-dead-air.md): How smallest.ai keeps a bad deploy from becoming a dropped call
- [Upscale.ai : Where Every Comment Moves the Code](https://entelligence.ai/case-study/upscale.ai-where-every-comment-moves-the-code.md): Most 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.
- [Standard Metrics: Engineering Visibility, From Tokens to Outcomes](https://entelligence.ai/case-study/standard-metrics-engineering-visibility-from-tokens-to-outcomes.md): How Standard Metrics gave its engineering leaders one view of AI spend, team health, and the outcomes that reach production
- [Bespoke Grades the World's AI. Entelligence Grades Bespoke's Code.](https://entelligence.ai/case-study/bespoke-grades-the-world-s-ai.-entelligence-grades-bespoke-s-code.md): How Bespoke Labs uses Entelligence : Two of every three comments Entelligence leaves on a Bespoke PR get fixed before merge.
- [How Docket uses Entelligence to make sure the same bug never ships twice](https://entelligence.ai/case-study/how-docket-uses-entelligence-to-make-sure-the-same-bug-never-ships-twice.md): How Docket uses Entelligence to make sure the same bug never ships twice
- [The Reviews That Changed How MindsDB Ships](https://entelligence.ai/case-study/the-reviews-that-changed-how-mindsdb-ships.md): MindsDB builds open-source AI infrastructure for the enterprise.
- [How Entelligence Helped Clodo Ship Faster With Confidence](https://entelligence.ai/case-study/clodo.md): Clodo 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 as
- [From Noise to Signal: How Hobbes Built a Code Review Process Engineers Actually Trust](https://entelligence.ai/case-study/hi-hobbes.md): Hobbes 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.
- [How Allocore Cut Review Time by over 70% and Caught Critical Bugs with Entelligence AI](https://entelligence.ai/case-study/allocore.md): Allocore 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.
- [How Digibee merged 191 PRs in 2 months, without a single production defect using Entelligence AI](https://entelligence.ai/case-study/digibee.md): Digibee 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.
- [How Sybill shipped 187 PRs in 8 weeks, with no critical issues reaching production, using Entelligence AI](https://entelligence.ai/case-study/sybill.md): Sybill 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.
- [How Vectorial AI Achieved 10x Faster Development with Entelligence](https://entelligence.ai/case-study/vectorial.md): Vectorial AI faced challenges in maintaining rapid development cycles while ensuring code quality as they expanded. By implementing Entelligence's AI platform, they achieved 10x faster development workflows, maintained high code quality with 65% of AI-generated comments being acc
- [How AgentOps Uses Entelligence to Enhance Developer Experience and Product Strategy](https://entelligence.ai/case-study/agentops.md): AgentOps, an LLM evaluation platform by Agency AI, faced challenges in gathering meaningful user feedback through traditional channels. By implementing Entelligence's analytics platform, they gained real-time insights into user behavior, streamlined debugging processes, and optim