Conva.AI

Slang Labs envisions a future where AI-driven voice interactions fundamentally transform how people engage with applications, removing barriers of language and complexity to enable seamless thought-to-action experiences. By making sophisticated AI accessible through low-code platforms, Slang Labs empowers developers and businesses to embed intelligent, conversational assistants into their apps without specialized expertise.

The company is dedicated to democratizing AI, focusing on voice-first generative technology that caters to diverse linguistic needs and regional nuances, especially for markets where English is not dominant. Through innovation in multilingual voice search and natural language understanding, Slang Labs is shaping a world where digital interactions are more intuitive, inclusive, and human-centered.

With its flagship products like Conva.AI and CONVA, Slang Labs drives meaningful change by redefining app usability and user engagement, fostering a future where voice becomes the natural bridge between people and technology across industries such as e-commerce, fintech, and travel.

We've been tracking Slang Labs since they launched Conva.AI, and honestly, they're solving a problem most people don't even realize exists yet. While everyone's obsessing over chatbots and large language models, this Bengaluru-based team quietly built something more practical: voice AI that actually works inside the apps you already use.

What caught our attention isn't just their tech—it's their timing. Founded in 2017 by three serial entrepreneurs with Google's backing, they've been building voice-first AI solutions before "voice-first" became a Silicon Valley buzzword.

The "Aha" Moment We Had

Here's where Slang Labs clicked for us: they're not trying to replace your apps. They're making them smarter from the inside out. Their Conva.AI platform lets developers add AI assistants to existing apps without needing a PhD in machine learning.

Think about it—how many times have you fumbled through an e-commerce app searching for something specific? Now imagine just saying "show me blue running shoes under $100" in Hindi, Telugu, or whatever language feels natural. That's exactly what their CONVA solution does for e-commerce apps.

What Impressed Us Most

The multilingual piece is genuinely clever. We tested apps using Slang's voice search, and watching someone navigate an English-language shopping app using conversational Tamil felt like seeing the future. It's not just translation—it's contextual understanding across languages.

Their "low-code, meta-prompt-based" approach also makes sense. Instead of forcing developers to become AI experts, they've built tools that work with existing workflows. Over 400 developers worldwide are already using Conva.AI, which tells us the adoption curve is real.

Who This Actually Helps

We see Slang Labs as a perfect fit for companies expanding into markets like India, Southeast Asia, or anywhere linguistic diversity meets smartphone adoption. E-commerce platforms, travel apps, and fintech companies dealing with multilingual user bases should definitely pay attention.

The beauty is in the simplicity—users don't need to learn new interfaces or download separate apps. They just talk to the apps they already love, in the languages they already speak. That's the kind of practical AI innovation we can get behind.