What aiOla does
aiOla is an enterprise voice AI platform that turns spoken field reports into structured data in noisy, multilingual, jargon-heavy environments where generic ASR (automatic speech recognition) tools fail. The flagship engine, Jargonic, is trained to recognize industry-specific terminology — aircraft tail numbers and MEL codes for aviation, drug names and dosing for healthcare, SKUs and lot numbers for manufacturing — and to handle accents, background noise, and multi-speaker chatter that wreck consumer-grade transcription.
Field workers speak their reports into a phone or wearable, and aiOla transcribes, recognizes jargon, fills the right fields, and pushes structured data into the customer's system of record (SAP, Salesforce, Jira, MES, EHR). The result: hours of manual data entry replaced with seconds of voice capture, fewer errors, faster turnarounds, and richer operational data. United Airlines is using aiOla to power voice AI in aviation maintenance and operations.
Who it's for
aiOla targets operations, field service, manufacturing, aviation, logistics, healthcare, and inspection teams at large enterprises whose workers spend hours filling forms after every job — work that can be done in seconds by voice if the AI actually understands industry jargon.
Pricing
aiOla is sold via custom enterprise pricing tied to seats, languages, and deployment model (cloud or on-prem). There is no public list price or free tier.
Team & funding
aiOla was founded in 2020 in Tel Aviv by Assaf Asbag (CTO) and Amir Haramaty (President, co-founder). The company has raised $58M total, headlined by a $25M Series A2 announced July 9, 2025 that included strategic investment from United Airlines Ventures, with continued participation from Hamilton Lane, New Era Capital Partners, and UST Global. The 2025 round followed an earlier Series A round and a strategic round, with the company positioning itself as the voice AI leader for industrial and aviation operations.
Position vs competitors
aiOla competes with Deepgram, AssemblyAI, Speechmatics, Picovoice, and the voice AI sides of Microsoft and Google. Its differentiation is domain-specific jargon recognition plus a productized output that fills structured fields in enterprise systems — not just generic transcription.