Aiola
Aiola

Aiola

Measured by AhrefsDR53Ahrefs DR: 53/100. Above median. Measured by Ahrefs. Median 44.Measured by StartupHub.aiAgent44Agent Readiness: 44/100. Above median. Measured by StartupHub.ai. Median 41.Measured by Google PageSpeedSpeed54Site Speed: 54/100. Below median. Measured by Google PageSpeed. Median 62.Measured by StartupHub.aiTrust94Data Trust: 94/100. Top 25%. Measured by StartupHub.ai. Median 61.

Voice AI platform for frontline workers, transforming speech into structured data and automated workflows.

2019Active62Herzliya, Israel

About this profileCompany details: from public sourcesFunding: no announced round on fileOwnership: not yet claimed by the companyScores: measured by named tools; each links to its methodOur rules

About

aiOla is a novel speech-powered technology that’s helping businesses to efficiently complete existing processes, save time, work smarter, and collaborate effectively. aiOla’s robust solution is designed for flexibility and scalability across languages, sectors, and industries. Supporting over 100 languages, it functions in any acoustic environment, understands all accents, and ensures teams across global borders connect data, gain insights, and identify trends.

Competitors & Alternatives (14)

Listed competitors

GS
Google Speech-to-Text
Google Speech-to-Text

aiOla's specialized Jargonic models offer higher accuracy for industry-specific terminology in challenging conditions compared to Google's general ASR.

N
Nuance
Nuance

aiOla targets a broader range of frontline industrial applications with its voice AI, while Nuance has historically focused on healthcare and enterprise solutions.

A
AssemblyAI
AssemblyAI

aiOla's specialized Jargonic models and focus on real-world industrial applications provide a distinct advantage over AssemblyAI's general-purpose speech AI.

O
Otter.ai
Otter.ai

aiOla targets enterprise and industrial frontline workers with specialized jargon handling, while Otter.ai is primarily for meeting transcription and note-taking.

D
Deepgram
Deepgram

aiOla's emphasis on voice-agentic workflows and direct integration with systems like Salesforce for field teams sets it apart from Deepgram's core speech-to-text API.

AT
Amazon Transcribe
Amazon Transcribe

aiOla's focus on frontline operations and industry-specific jargon provides a niche advantage over Amazon's broader speech-to-text service.

O
OpenAI
OpenAI

aiOla focuses on industry-specific jargon and noisy environments for frontline workers, whereas OpenAI's models are more general-purpose.

Reddit“OpenAI is not going to win because they have the best models, or the most advanced chips, or the best cost-performance curve, or even the…” r/codex

V
Verbit
Verbit

aiOla's primary focus is on real-time voice AI for workflow automation for frontline workers, whereas Verbit offers transcription and captioning services.

MA
Microsoft Azure Speech
Microsoft Azure Speech

aiOla differentiates through its specialized voice AI for frontline workers and its ability to handle jargon and noisy environments, unlike Microsoft's more general offerings.

Also in this space

Key facts

Website
aiola.ai
Headquarters
Herzliya, Israel
Founded
2019
Employees
62
Total funding
$25M (Series A)
Business model
B2B

Funding rounds

Funding rounds raised by Aiola
DateRoundAmountLead investors
18 Jan 2023Series A$25MNew Era Capital Partners

Tech stack

Detected on aiola.ai, last scanned 16 Aug 2026.

Compliance
SOC 2, ISO 27001, GDPR, CCPA
Frontend
jQuery
Analytics
Google Tag Manager
SEO
Yoast SEO
Support
HubSpot
CMS / Builders
WordPress
CDN
Cloudflare
Email provider
Google Workspace
Email marketing
HubSpot Forms

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Frequently asked

What does Aiola do?

This empowers businesses to transform operations into speech-driven processes in just minutes, streamlining workflows, enhancing workforce efficiency, and enabling process optimization.Now, businesses can maximize their potential, optimize resources, and embrace data-driven strategies while harnessing the immense power of AI and gaining uniquely generated and captured data. Its combination of natural language understanding and industry-specific jargon knowledge ensures that workflows are completed with utmost accuracy, efficiency, and simplicity.

Is Aiola trustworthy and reputable?

StartupHub's Data Trust & Reputation score for Aiola is 94 out of 100, a trusted rating, based on site security posture, privacy practices, malware and phishing checks, and public reputation signals.

How much funding has Aiola raised?

Aiola has raised a total of $25M in funding. The most recent round on record is Series A.

How many employees does Aiola have?

Aiola has approximately 62 people on record.

Public record

SEC filings, insider activity, nonprofit links and pay benchmarks for Aiola