aiOla, a leader in deep tech voice and conversational AI, has secured a $25 million Series A2 funding round, with United Airlines Ventures as a strategic investor alongside existing backers, bringing total funding to $58 million. This investment supports a potential collaboration with United Airlines to integrate aiOla’s innovative voice AI technology across various aviation applications.
aiOla raises $25M in Series A2, including United Airlines Ventures investment.
Total funding reaches $58M to advance voice AI in aviation and beyond.
Jargonic system converts speech to structured data in noisy environments.
Supports over 100 languages, enhancing real-time data accuracy.
Patented AdaKWS model achieves 95% accuracy in jargon detection.
Outperforms OpenAI and ElevenLabs in multispeaker, multilingual settings.
The $25 million Series A2 funding round, announced on July 9, 2025, marks a significant step for aiOla’s mission to transform data capture in complex industries like aviation. United Airlines Ventures’ investment signals a potential broader collaboration to leverage aiOla’s voice AI technology for operational efficiency. “UAV believes aiOla’s technology has a limitless number of applications across industries, as it solves a fundamental problem of capturing data from speech and, with speed and precision, converting it into structured data to be used in any machine learning and artificial intelligence applications,” said Andrew Chang, head of United Airlines Ventures.
aiOla’s Jargonic system is designed to handle real-world complexities, such as noisy, multilingual, and jargon-heavy environments where generic Automatic Speech Recognition (ASR) tools struggle. Field teams can verbally submit reports, which are transcribed, recognized for industry-specific jargon, and structured into actionable data, eliminating manual entry. The platform supports over 100 languages, allowing natural interaction regardless of noise or accent, and integrates seamlessly with backend systems for real-time reporting.
The core of aiOla’s technology is its patented AdaKWS model, which achieves 95% accuracy in detecting industry-specific jargon and adapts swiftly to diverse workflows. This capability enables Jargonic to outperform competitors like OpenAI and ElevenLabs in challenging settings, such as multispeaker and noisy environments. Backed by researchers from premier tech institutes, aiOla’s platform ensures high data accuracy and operational agility, making it ideal for aviation’s demanding requirements.
The funding comes as the voice AI market grows rapidly, reaching $5.4 billion in 2024 with a 25% increase from the previous year. aiOla’s advancements, supported by peer-reviewed research and real-world deployments, position it as a leader in conversational AI. “In complex operations, incomplete or delayed data isn’t just a widespread industry challenge,” said Amir Haramaty, President and Co-Founder of aiOla. “Voice is the only interface that can solve the core data challenges – quality, volume, and real-time visibility – without disrupting existing workflows.”
aiOla’s Voice AI platform is now accessible via a simple API, offering developers speech-to-text, text-to-speech, and audio intelligence tools. With United Airlines Ventures’ support, aiOla is poised to accelerate voice AI adoption, driving efficiency and innovation in aviation and other critical industries.
aiOla's patented models and technology supports over 100 languages and discerns jargon, abbreviations, and acronyms, demonstrating a low error rate even in noisy environments. aiOla's purpose-built technology converts manual processes in critical industries into data-driven, paperless, AI-powered workflows through cutting-edge speech recognition.
aiOla, which has raised $58 million to date, is led by a world-class professional and research team and is recognized as a powerhouse in speech AI. By transforming voice into the fastest and most intuitive interface for the AI factory and enterprise systems, aiOla empowers organizations to dramatically improve data quality, visibility, and operational agility with zero disruption, turning speech into real-time insight and driving the next wave of AI-powered transformation.
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