Engineering teams hit a blocker, a configuration issue, a documentation gap, and need an answer immediately, not in the next available support window. Kameleo’s old setup couldn’t do that. Their new one quietly handles 78% of it.
Kameleo builds an antidetect browser used by advanced engineering teams integrating with Selenium, Puppeteer, and Playwright. Their customers write code. They run automation at scale. When something breaks, they expect a fast, precise answer.
But Kameleo’s support infrastructure wasn’t built for that. Their knowledge base lived in Zendesk and GitHub, maintained manually by the technical support engineering team. Every product update required engineers to rewrite documentation. There was no real-time chat, customers could only reach the team through tickets, during engineer hours.
The result was predictable. Documentation drifted. Repetitive questions piled up. Engineers spent hours answering the same technical questions instead of improving the product. Leadership had no visibility into what was missing, what was outdated, or where customers were getting stuck.
Tamas Deak, founder and CEO, discovered Helply on a flight. A LinkedIn post on a one-page PLG breakdown caught his eye. He downloaded it, read it offline for the rest of the flight, and knew it was a fit. Kameleo qualified for Helply’s VIP Program, an early-access track for companies that match on technical fit, support volume, and growth trajectory. Within days, the integration was live.
Tamas had tried connecting Zendesk to ChatGPT 3.5 months earlier. It answered questions. But it couldn’t measure coverage, identify gaps, or ensure documentation stayed aligned with what customers actually needed. AI answers without AI intelligence isn’t leverage, it’s just a faster way to give the wrong answer.
Helply was different. The agent trained on Kameleo’s actual conversations. The Gap Finder revealed documentation was only 70% complete and showed exactly where the gaps were. Within 30 days, the AI was resolving 78% of inbound questions, including complex code generation queries, at three times the previous response speed and double the customer engagement. More conversations now flow through Helply than through the old Zendesk tickets.
The system forced Kameleo to run support properly. Documentation gets fixed where it actually matters. Engineering hours go back into the product. And Kameleo is joining the first cohort migrating fully off Zendesk to the AI-native helpdesk.
