aiOla —Turning any manual process into a Voice-Agentic Workflow that generates real-time structured data and system automation.

aiOla envisions a future where voice is the fastest, most natural interface to enterprise workflows, transforming how businesses capture and utilize real-time spoken data. They are building a world in which complex and jargon-rich processes are no longer constrained by human inefficiencies but dynamically optimized through advanced AI.

By pioneering patented speech recognition technology with unparalleled accuracy and continuous learning capabilities across 120+ languages and accents, aiOla is creating seamless, hands-free automation solutions tailored for the toughest industry environments. Their innovations empower enterprises to convert speech into structured, actionable insights to fundamentally rethink operational productivity and safety.

Driven by a mission to break the speech barrier under demanding conditions, aiOla is shaping the future of enterprise AI with cutting-edge tools and APIs designed to unleash the full potential of voice as a transformative business interface worldwide.

We've seen plenty of speech recognition startups promise enterprise-grade accuracy, but aiOla caught our attention for one simple reason: they actually deliver on it. With over 95% accuracy across 120+ languages and the ability to handle industry jargon without breaking a sweat, this Israeli deep tech company is solving real problems that have plagued voice AI for years.

What really impressed us wasn't just another "AI-powered" solution, but how aiOla tackles the messy reality of workplace speech. Think factory floors with machinery noise, pilots using aviation acronyms, or logistics workers rattling off complex part numbers. Their Jargonic ASR model adapts to these environments instantly — no retraining required.

Where the Magic Happens

The standout feature here is aiOla's jargon-handling capability. We've tested speech recognition tools that crumble the moment someone uses industry-specific terminology or speaks with an accent. aiOla's approach is refreshingly different: their foundation model learns from context and adapts on the fly.

Their aiOlApp particularly shines for frontline workers who need hands-free data capture. Imagine a quality inspector walking through a production line, speaking observations that automatically populate compliance reports. It's the kind of practical application that makes you wonder why nobody thought of this sooner.

Real-World Impact We Can Get Behind

The numbers speak volumes here. A Fortune 50 food manufacturer slashed inspection time by nearly 50%, while a global shipping company cut vehicle inspection time by 85%. These aren't marginal improvements — they're game-changers that translate directly to bottom-line results.

We appreciate that aiOla isn't trying to be everything to everyone. They've laser-focused on enterprise workflows where speech data can unlock massive efficiency gains, particularly in manufacturing, logistics, and aviation.

Who Should Pay Attention

This isn't for small businesses looking for basic transcription. aiOla is built for large enterprises with complex, jargon-heavy processes that currently rely on manual data entry or paper-based workflows. If your organization has frontline workers who spend significant time documenting processes, aiOla deserves a serious look.

The $58 million in funding, including strategic investment from United Airlines Ventures, signals that industry players see real value here. When airlines — notorious for their risk-averse approach to new technology — invest in your speech AI platform, you're probably onto something substantial.