aiOla Secures $25M Series A2 to Power Voice AI Across Enterprise and Aviation

Voice technology leader aiOla has raised $25 million in a Series A2 round, with United Airlines Ventures (UAV) joining as a strategic investor. The round brings aiOla’s total funding to $58 million, and signals a growing demand for speech-to-structured-data solutions in mission-critical industries.

The investment also lays the foundation for a broader collaboration with United Airlines, which is actively exploring how aiOla’s voice AI platform can enhance operational efficiency across aviation environments—from aircraft inspections to maintenance logs and real-time ground reporting.

“United Airlines Ventures was created to invest in companies that define the future of travel technology,” said Andrew Chang, Managing Director of UAV. “aiOla has built something transformative—technology that captures spoken data and instantly turns it into structured intelligence. That’s game-changing for aviation and far beyond.”

From Natural Speech to Actionable Data

aiOla has developed one of the world’s most advanced enterprise speech systems, capable of operating in the kind of conditions where typical ASR (Automatic Speech Recognition) tools break down. Loud, multilingual, and jargon-heavy environments—like those found in aviation, logistics, manufacturing, and pharma—are where aiOla excels.

Its proprietary foundation model, Jargonic, offers over 95% transcription accuracy, even when multiple speakers, technical terminology, background noise, or heavy accents are present. What makes Jargonic unique is its ability to identify industry-specific language without the need for custom training—an essential capability for industries with complex or dynamic vocabularies.

Instead of simply transcribing audio, aiOla’s system automatically structures the data, fills in workflows, and pushes it to backend enterprise systems. This creates real-time visibility across operations, eliminates manual data entry, and ensures frontline workers can speak naturally—without altering their behavior or commands.

Real-World Impact in Aviation and Beyond

While aiOla’s partnership with United Airlines brings particular attention to the aviation sector, the platform is already active across several industries. On factory floors, workers use aiOla to record inspection logs with just their voice. In pharma, it’s helping automate regulatory documentation and batch changeovers. In logistics, teams log delays and delivery updates while on the move—all without typing a single word.

This frictionless data capture is made possible by a robust suite of AI tools that work together to deliver natural voice interfaces across enterprise systems. Key components include aiOla’s speech-to-text and text-to-speech engines, its conversational AI app for frontline teams, and its back-end intelligence layer, which interprets and structures speech in real time.

The platform supports over 120 languages and dialects and is designed to handle the noise, complexity, and compliance needs of global enterprises. It also integrates securely with internal systems, offering enterprise-grade privacy, role-based access, and real-time PII masking when needed.

Why aiOla Stands Apart

In benchmarking tests, aiOla’s Jargonic engine consistently outperformed industry leaders like Whisper, ElevenLabs, and AssemblyAI—not only in transcription accuracy, but also in understanding domain-specific keywords and capturing spoken data in noisy, real-world conditions.

The technology’s zero-shot learning capability means organizations don’t need to retrain models for every new use case. aiOla’s voice AI simply works—out of the box—whether it’s processing maintenance commands in aviation, quality control reports in manufacturing, or multilingual customer service interactions.

This adaptability is what makes aiOla especially compelling. The platform doesn’t just provide speech recognition; it offers a pathway to voice-first enterprise automation. Its tools enable organizations to act on voice data in real time, triggering workflows, populating dashboards, and even guiding AI agents to take the next best action.

Voice as Infrastructure: A Broader Industry Shift

aiOla’s latest funding round reflects a growing recognition across industries that voice is emerging as a serious interface for enterprise systems. As organizations deal with increasingly complex workflows, distributed teams, and regulatory demands, capturing and structuring spoken information in real time can offer operational advantages—particularly in settings where manual input is slow, error-prone, or simply impractical.

Rather than replacing existing processes, platforms like aiOla are being explored as complementary layers—helping bridge the gap between human communication and structured data systems. By integrating with existing tools and workflows, voice AI can help reduce friction in data entry, improve compliance documentation, and accelerate reporting cycles.

The investment by United Airlines Ventures signals that enterprise-grade voice tools are moving from pilot projects to broader strategic consideration. While challenges remain—such as ensuring model accuracy across languages and preserving data privacy—continued improvements in domain-specific ASR, speaker diarization, and multilingual support suggest the field is maturing quickly.

As AI adoption grows, voice interfaces are likely to play a more visible role—not as replacements for humans, but as enablers of more efficient, responsive, and accessible enterprise operations.