About Us
Built by Developers,
for Developers
Jovo started as the most popular open-source framework for building cross-platform voice and chat applications. Today, we're evolving into the developer's trusted guide for the AI-powered stack.
Who We Are
Jovo began as an open-source framework that allowed developers to build voice apps for Amazon Alexa and Google Assistant from a single codebase. Backed by betaworks, featured on ProductHunt, and adopted by thousands of developers worldwide, Jovo became a cornerstone of the voice-first development ecosystem.
With citations and backlinks from Amazon Developer, Google Developers Blog, HackerNoon, VoiceBot.ai, StackOverflow, and dozens of international tech publications, jovo.tech became one of the most trusted domains in conversational AI.
The world of developer tooling has shifted dramatically. AI coding assistants, LLM APIs, and multimodal AI agents are now central to how developers build. Jovo is evolving to meet that moment — becoming a go-to resource for honest, developer-first reviews and guides on the tools reshaping the stack.
Our Journey
Jovo Framework Born
Released as the first open-source framework enabling developers to build cross-platform voice apps for Alexa and Google Assistant from a single codebase. Backed by betaworks Voicecamp.
Trusted by the Community
Featured on Amazon's official Alexa Skills Kit page, Google Developers Blog, HackerNoon, and adopted by enterprise teams. Framework v2 launched with CMS integrations and multi-platform support.
Framework v4 & Web Platform
Jovo v4 introduced component-based architecture, web platform support, and expanded beyond smart speakers to messaging apps and custom chat interfaces.
The AI Stack Evolution
As AI tools redefined developer workflows, jovo.tech began expanding into reviews of AI assistants, LLM APIs, and voice-AI integrations — staying true to its conversational AI roots.
The Developer's AI Guide
Jovo is becoming the definitive independent resource for developers navigating the AI tooling landscape — with the same technically rigorous voice that made the framework documentation trusted for years.
Our Mission
Honest Reviews
No sponsored rankings. No affiliate pressure on scores. We test tools ourselves and share exactly what we found.
AI & Voice Focus
We write for developers building with conversational AI, LLMs, and voice technology. Every guide is grounded in real-world use cases.
Developer-First Clarity
No marketing fluff. We explain tools the way a senior engineer would explain them to a teammate.
Editorial Leadership
David Thorne
Lead AI Architect & Editor
David brings over a decade of experience in conversational AI, deep learning, and backend infrastructure. Starting his career building robust NLU pipelines and enterprise voice agents, he witnessed firsthand the transition from simple slot-filling bots to today's unconstrained LLM models.
At Jovo, David leads the editorial vision—rigorously testing open-source uncensored AI models, ranking virtual companion platforms, and providing brutal, unfiltered technical reviews aimed strictly at developers navigating the rapidly evolving generative AI space.
The Jovo Framework Lives On
The Jovo open-source framework remains available on GitHub. This site (jovo.tech) is the editorial home — where we publish AI tool reviews, developer guides, and technology comparisons. The two exist side by side, sharing the same commitment to helping developers build better.