aiola
Also known as: aiOla, Jargonic, AgenticVoice, Speech-to-Workflow
Enterprise voice AI for field and frontline teams: the Jargonic ASR model turns speech into structured data and triggers workflows in noisy, jargon heavy settings, with deep Salesforce integration.
aiOla builds enterprise voice AI agents purpose built for frontline and field teams, turning spoken data into structured, validated records and triggering downstream workflows in real time. Its foundation is Jargonic, a patented ASR model the company reports exceeds ninety five percent accuracy across one hundred twenty plus languages and accents in loud, multi speaker, jargon heavy industrial environments without per customer fine tuning, complemented by a text to speech engine. On top of the model, Speech to Workflow captures inspections, deliveries, and reports hands free and maps speech directly to the right schemas and fields in existing systems.
aiOla positions a field sales offering where each rep gets a personal voice agent backed by a squad of specialized agents that update Salesforce, pull company intel, manage pipeline, and prep for the next visit, reportedly lifting CRM completeness from twenty three percent to over ninety percent and giving teams thirty percent more customer facing time. AgenticVoice exposes the ASR and TTS stack as an API first product for building conversational agents, and the platform monitors agent quality automatically with drift detection and self healing models that trigger retraining. Real time data masking, encryption, audit logs, and role based access support enterprise security.
Founded around 2020 in Israel by CEO Amir Haramaty and CTO Guy Ernest, aiOla has raised about fifty eight million dollars, most recently a twenty five million dollar Series A2 in July 2025 with a strategic investment from United Airlines Ventures. It was featured by NVIDIA CEO Jensen Huang at GTC Paris and targets aviation, automotive and manufacturing, logistics, food and CPG, pharma, and healthcare.
Vendor details
Canonical URL
https://aiola.ai
Category
Voice agent
Subcategory
Enterprise field voice AI
Funding status
About fifty eight million dollars raised; most recent round a twenty five million dollar Series A2 (July 2025) with a strategic investment from United Airlines Ventures, plus Hamilton Lane, UST Global, and New Era Capital Partners
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Deep Salesforce integration with bidirectional sync to standard and custom objects and fields; connects to ERP, CRM, MES, and BI systems; API first AgenticVoice for embedding ASR and TTS into other agents; event stream integration; hosted on AWS.
In practice
A field rep speaks naturally after a customer visit and a squad of agents updates Salesforce, pulls intel, and preps the next call, raising CRM completeness above ninety percent
An aviation crew logs a safety inspection hands free in a noisy hangar and aiOla maps the speech to structured records three times faster than typing
A developer embeds AgenticVoice via API to give a conversational agent ninety five percent accurate ASR and natural TTS across one hundred twenty languages
Sources & related URLs
Capability coverage
11.0 / 14 capabilities · 79%
| Integrations & Tool CallingDeep Salesforce integration with bidirectional sync to standard and custom objects and fields, plus connections to ERP, CRM, MES, and BI systems and event stream integration. aiola.ai homepage and speech-to-workflow page retrieved 2026-07-08. | Full |
|---|---|
| Workflow OrchestrationBehind one voice agent a squad of specialized agents works in parallel updating Salesforce, pulling intel, and managing pipeline, and voice agentic flow triggers downstream enterprise workflows such as tickets, alerts, and follow up inspections. aiola.ai about and voice agentic flow blog retrieved 2026-07-08. | Full |
| Knowledge Grounding & RAGJargonic understands context, industry terminology, and business specific language without manual retraining, and the agent maps speech to the customer's unique schemas and fields, grounding actions in enterprise data. aiola.ai state-of-voice-ai blog and speech-to-workflow page retrieved 2026-07-08. | Full |
| Human Oversight & GuardrailsThe agent captures, structures, and validates spoken data ensuring it lands on the right schema, with robust auditing and performance reporting so teams can be sure field agents are doing their best work; real time masking protects sensitive data. aiola.ai homepage and speech-to-workflow page retrieved 2026-07-08. | Full |
| Security, Identity & GovernanceEnterprise grade security with data encryption, audit logs, role based access, real time data masking, and GDPR and CCPA compliance for AgenticVoice. aiola.ai speech-to-workflow and agentic-voice pages retrieved 2026-07-08. | Full |
| Observability & AuditabilityRobust auditing and performance reporting track accuracy, adoption, data completeness, and ROI across every agent and team, and the platform monitors agent quality automatically with drift detection. aiola.ai homepage retrieved 2026-07-08. | Full |
| Memory & State PersistenceAgents get smarter daily from usage, outcomes, and feedback and build a living dataset over time, but a dedicated per contact agent memory construct is not separately documented. aiola.ai homepage and voice agentic flow blog retrieved 2026-07-08. | Partial |
| Deployment & Data ResidencyFlexible deployment options across multi tenant, single tenant, and private cloud are documented on the features tiering, hosted on AWS. aiola.ai features page and homepage retrieved 2026-07-08. | Full |
| Prebuilt Agents, Templates & PacksaiOlApp lets customers define, configure, and deploy custom agents and workflows for their exact processes with industry tailored use cases, but a marketplace of prebuilt agents is not documented. aiola.ai homepage and features page retrieved 2026-07-08. | Partial |
| Triggers & Channel CoverageSpeech itself is the trigger: the agent listens, interprets in real time, and executes downstream actions instantly, operating hands free in noisy field, factory, aviation, and call center environments across 120+ languages. aiola.ai state-of-voice-ai and voice agentic flow blogs retrieved 2026-07-08. | Full |
| Model Flexibility & RoutingResearch documents combining multiple language models to improve recognition and a proprietary Jargonic ASR plus TTS stack, but customer selectable models or routing across providers is not documented. aiola.ai research page retrieved 2026-07-08. | Partial |
| APIs, SDKs & MCP ExtensibilityAgenticVoice is API first and plug and play for embedding ASR and TTS into AI agents, chatbots, and automation, and the platform offers API access plus in app deployment and integration via APIs or event streams. aiola.ai agentic-voice page and features page retrieved 2026-07-08. | Full |
| Testing, Debugging & OptimizationThe platform monitors agent quality automatically with drift detection that identifies accuracy degradation early and self healing models that trigger retraining, but a dedicated pre deployment testing or evaluation harness is not documented. aiola.ai homepage retrieved 2026-07-08. | Partial |
| Browser & Computer UseNo browser or computer use capability documented; the agent operates through voice capture and enterprise system integration. aiola.ai pages retrieved 2026-07-08. | Unable to verify |
Pricing
Contact sales (Developer and Enterprise tiers)
usage and deployment tier (concurrency limited vs unlimited)
What is public
The tier and deployment structure is public via the features comparison; dollar figures are not.
Billing mechanics
Tiered by deployment model and usage: standard multi tenant with limited concurrency versus single tenant or private cloud with unlimited concurrency, across Developer and Enterprise plans with dedicated support and custom integrations at the top.
Cost watchouts
Concurrency limits differ by tier (limited on standard, unlimited on enterprise); single tenant and private cloud deployments price above multi tenant; ASR and TTS usage volume drives cost.
Variable cost rationale
Voice ASR and TTS usage scales with volume and concurrency, and higher tiers unlock unlimited concurrency, so heavy field deployment raises cost; single tenant and private cloud add a step change. No public rates, so exposure is inferred from the tiering.
Additional watchouts
Voice usage volume and concurrency, plus single tenant or private cloud, are the main cost levers; confirm what counts against concurrency limits.
Sales call required
Yes — required for paid access
Free / trial
Jargonic early access waitlist for developers; no public free tier documented
Key ambiguities
The tier structure (Developer vs Enterprise, multi vs single tenant, limited vs unlimited concurrency) is public but no dollar figures are.
Missing data
Dollar figures for each tier, per usage rates, concurrency thresholds.
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