{"id":920,"date":"2022-10-12T18:23:08","date_gmt":"2022-10-12T18:23:08","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/startups\/blog\/?p=920"},"modified":"2024-11-04T14:19:56","modified_gmt":"2024-11-04T22:19:56","slug":"trelent-openai-service","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/startups\/blog\/trelent-openai-service\/","title":{"rendered":"Trelent powers source code documentation with OpenAI Service – #LaunchWithAI"},"content":{"rendered":"\n
We recently talked to Calum Bird<\/a>, founder, and CEO of Trelent<\/a>, to talk about his journey launching his startup with AI. Trelent is solving a major problem for developers, intelligent source code documentation, and empowering high-growth startups and enterprise tech companies that need quality documentation to onboard new engineers. Trelent scaled its solution and accommodated the data security and residency needs of enterprise customers, all within the year from inception to seeking product-market fit. This impressive increase in speed to market is the perfect use case for Azure OpenAI Service adoption in a startup, so we sat down with their founder and CEO, Calum Bird, to dig into their story.<\/strong><\/em><\/p>\n\n\n\n \u201cTrelent was founded to let developers keep developing. It fully automates code documentation on their behalf. We started with talking to and helping individual developers but quickly realized that documentation is much more of an issue within a larger organization where there may be thousands of engineers touching documentation. Specifically, teams that are growing over 50% year over year, experience a high degree of trouble with documentation. Increasingly, we\u2019re seeing teams move to distributed positions, spanning countries. That\u2019s where we\u2019re focused on.\u201d<\/p>\n\n\n\nTrelent\u2019s inception story<\/strong><\/h2>\n\n\n\n
Building with Azure OpenAI Service vs in-house model development<\/strong><\/h2>\n\n\n\n