"Create high-impact, professional video content without the inevitable cost and delay of outsourced video production."
Elai is an AI video generator for professional avatar, training, e-learning, communication, and marketing videos. The tool offers AI Avatars, Custom Avatars, Voice Cloning, automatic translation, AI Storyboard, Article-to-Video, PPTX-to-Video, Avatar Dialogs, personalization, Screen Recorder, and API.
Elai.io
Create high-impact, professional video content without the inevitable cost and delay of outsourced video production
Location: USA ⓘ Elai Inc., 600 River Avenue, Suite 100, Pittsburgh, PA 15212, USA.
Team For teams with multiple editors/guests, custom images and fonts, Ultra 4K video, Premium Voices, Selfie Avatar, and Voice Clone.
Enterprise Custom plan with unlimited users, multiple Voice Clones, Selfie Avatars, Premium Avatars, Brand Kit, Workspaces, SSO, and Premium Support. Other API API access for paid and trial accounts; supports video rendering, Story API, Avatar API, Voice API, webhooks, media upload, and personalization.
Custom Avatar / Voice Cloning Enterprise-grade features for digital twins, custom avatars, and voice cloning; rights and consents must be verified before use.
Zapier app and API integration for automated video creation, personalization, and external workflows.
Target audience
Elai is aimed primarily at companies, learning and development teams, HR departments, training providers, e-learning producers, customer education teams, marketing departments, sales enablement teams, and agencies. The tool is particularly suitable for organizations that want to create explanatory, multilingual, or avatar-based videos on a regular basis without hiring actors, a studio, or a traditional video production team.
Outstanding features
Elai stands out through its strong focus on corporate and training videos. Its key features include AI Avatars, Custom Avatars, Selfie Avatar, Voice Cloning, automatic translation, PPTX-to-Video, Article-to-Video, AI Storyboard, Avatar Dialogs, interactive elements, Screen Recording, API, and enterprise features such as SSO, Workspaces, and Brand Kits.
Main use cases
Typical use cases include employee training, compliance training, onboarding, e-learning, sales enablement, product demos, customer education, internal communication, personalized video campaigns, and multilingual corporate videos. Elai is especially strong wherever specialist content needs to be updated regularly and distributed quickly as video.
Usage & notes
Elai is used in the browser: users choose an avatar, write or import a script, upload presentations or URLs, and generate videos from them. For Custom Avatars and Voice Cloning, consents and usage rights must be properly documented. For GDPR-sensitive use, US hosting, DPF/SCCs, AVV/DPA, subprocessors, retention periods, and deletion processes should be reviewed in advance.
| Target audience | Assessment |
|---|---|
| Private individuals | Conditionally – Free plan available, but features and minutes are very limited; more business-oriented. |
| Self-employed / freelancers | Yes – suitable for explainer videos, courses, onboarding videos, marketing clips, and multilingual avatar videos. |
| SMEs | Yes – well suited for training, product explainers, internal communication, e-learning, and sales enablement. |
| Large enterprises | Yes – enterprise offering with SSO, team collaboration, custom integration, Brand Kit, API, and Custom Avatar/Voice Cloning. |
| Developers / teams | Yes, conditionally – API, webhooks, Story API, Avatar API, Voice API, and Zapier are available. |
| Privacy-sensitive organizations | Conditionally – GDPR information and the security page are positive; storage in the USA via AWS/DigitalOcean should be critically reviewed. |
| Education / L&D teams | Very well suited – clear focus on training, e-learning, compliance training, customer education, and corporate learning. |
Hosting & Data
1) On-prem / local hosting
Meaning: The company operates the solution on its own hardware or within its own infrastructure. In the strictest sense, not only the application runs locally, but ideally the model as well.
2) Private cloud / data center
Meaning: The solution runs in a dedicated or more clearly separated cloud environment, often with a hosting provider or hyperscaler, but in a German data center or in a particularly controlled environment.
3) EU SaaS / managed
Meaning: The provider operates the solution itself as a service. The company uses the tool as a ready-made cloud service, ideally with EU data residency.
4) Hybrid
Meaning: One part of the processing remains internal / local / in a private cloud, while another part runs in an external cloud or EU SaaS.
5) AVV / DPA
Meaning: This is the data processing agreement or Data Processing Addendum. It governs that the provider processes personal data on behalf of the customer and is bound by the customer's instructions.
6) No training
Meaning: The provider does not use your prompts, uploads, attachments, chat histories, or outputs for training or improving the general model — ideally excluded by contract.
7) Open-source / transparency path
Meaning: There is a path toward greater technical transparency and sovereignty, for example through:
- open models
- documented components
- self-hostable parts
- traceable architecture
- export / switching options
| On-prem / local hosting | ⚠️ |
| Private cloud / data center | ❓ |
| EU SaaS / Managed | ⚠️ |
| Hybrid | ⚠️ |
| DPA / AVV | ✅ |
| No training on customer data | ❓ |
| Open source / transparency path | ❓ |
On-premises / local hosting: partially
The Technology Services Agreement lists the “deployment of an on-premises solution installed on Customer Systems” as an add-on. However, the Elai website does not clearly explain whether and how this is specifically available for Elai itself, nor whether AI models also run locally.
Private Cloud / Data Center: Unclear
The website does not provide a clear description of a dedicated private cloud or separate EU/EEA data center environment for Elai. The AWS Ireland option in the DPA suggests a possible regional deployment but does not indicate a clearly defined private cloud solution.
EU SaaS / Managed: Partially
Elai is documented as SaaS. The DPA lists AWS as “United States or Ireland, as selected by the Customer and/or as set forth in the Agreement,” which suggests an EU option. At the same time, the Security page lists the U.S. as the storage location for all data, including backups. A clear standard commitment to EU SaaS is therefore lacking.
Hybrid: Partially
A hybrid deployment path is conceivable due to the documented on-premises add-on option in the Technology Services Agreement. However, the website does not specifically describe how Elai is implemented in hybrid mode for customers in the EU/EEA.
T&C / DPA: Covered
A public “Data Processing Agreement” is available. It designates Elai as the processor and the customer as the controller, and addresses instructions, subprocessors, and EU area law.
No Training: Unclear
No clear statement was found on the website indicating that prompts, uploads, scripts, outputs, or customer data are not used to train general AI models. An opt-out from AI training is not specified on the website.
Open Source / Transparency Path: Indirect / Not Available
Open-source components or a documented open-source/transparency path are not specified on the website. While there are instructions for exporting and deleting user data, there are no documented open models or self-hostable open components.
Data Processing
The website lists basic personal data, scripts/texts, uploaded photos, videos, music, and material for personal avatars as the categories of data processed. According to the security page, data is transmitted in encrypted form and stored on secure servers. The website specifically names AWS, DigitalOcean, Microsoft Azure, and several subprocessors as hosting and processing providers. The list of subprocessors includes, among others, AWS (located in the U.S. or Ireland), Microsoft Azure (located in the U.S.), Cueup (located in Germany), and other providers primarily based in the U.S.
Conclusion
For users in the EU/EEA, Elai is not documented under data protection law as a clearly EU-centric standard SaaS offering. Positive aspects include the DPA, the list of subprocessors, and the DPF notice. Critical issues include the repeatedly mentioned U.S. data centers and the lack of a clear statement regarding EU data residency as the standard, as well as the exclusion of AI training. The best-documented approach therefore appears to be only partially GDPR-compliant and requires contractual review and clarification of the actual data location.
Sources
| On-prem / local hosting | ⚠️ |
| Private cloud / data center | ❓ |
| EU SaaS / Managed | ⚠️ |
| Hybrid | ⚠️ |
| DPA / AVV | ✅ |
| No training on customer data | ❓ |
| Open source / transparency path | ❓ |
On-premises / local hosting: partially
The Technology Services Agreement lists the “deployment of an on-premises solution installed on Customer Systems” as an add-on. However, the Elai website does not clearly explain whether and how this is specifically available for Elai itself, nor whether AI models also run locally.
Private Cloud / Data Center: Unclear
The website does not provide a clear description of a dedicated private cloud or separate EU/EEA data center environment for Elai. The AWS Ireland option in the DPA suggests a possible regional deployment but does not indicate a clearly defined private cloud solution.
EU SaaS / Managed: Partially
Elai is documented as SaaS. The DPA lists AWS as “United States or Ireland, as selected by the Customer and/or as set forth in the Agreement,” which suggests an EU option. At the same time, the Security page lists the U.S. as the storage location for all data, including backups. A clear standard commitment to EU SaaS is therefore lacking.
Hybrid: Partially
A hybrid deployment path is conceivable due to the documented on-premises add-on option in the Technology Services Agreement. However, the website does not specifically describe how Elai is implemented in hybrid mode for customers in the EU/EEA.
T&C / DPA: Covered
A public “Data Processing Agreement” is available. It designates Elai as the processor and the customer as the controller, and addresses instructions, subprocessors, and EU area law.
No Training: Unclear
No clear statement was found on the website indicating that prompts, uploads, scripts, outputs, or customer data are not used to train general AI models. An opt-out from AI training is not specified on the website.
Open Source / Transparency Path: Indirect / Not Available
Open-source components or a documented open-source/transparency path are not specified on the website. While there are instructions for exporting and deleting user data, there are no documented open models or self-hostable open components.
Data Processing
The website lists basic personal data, scripts/texts, uploaded photos, videos, music, and material for personal avatars as the categories of data processed. According to the security page, data is transmitted in encrypted form and stored on secure servers. The website specifically names AWS, DigitalOcean, Microsoft Azure, and several subprocessors as hosting and processing providers. The list of subprocessors includes, among others, AWS (located in the U.S. or Ireland), Microsoft Azure (located in the U.S.), Cueup (located in Germany), and other providers primarily based in the U.S.
Conclusion
For users in the EU/EEA, Elai is not documented under data protection law as a clearly EU-centric standard SaaS offering. Positive aspects include the DPA, the list of subprocessors, and the DPF notice. Critical issues include the repeatedly mentioned U.S. data centers and the lack of a clear statement regarding EU data residency as the standard, as well as the exclusion of AI training. The best-documented approach therefore appears to be only partially GDPR-compliant and requires contractual review and clarification of the actual data location.
Sources
Strengths & weaknesses at a glance
| Strengths | Weaknesses |
|---|---|
| • Very strong for training and L&D videos | • According to the Security Policy, data is stored in US data centers |
| • 80+ avatars and 75+ languages in the plans | • No publicly directly verifiable AVV/DPA found within the scope of the research |
| • PPTX-to-video, URL-/article-to-video, AI storyboard | • Free plan only with very few video minutes |
| • Avatar Dialogs for scenario-based training | • For real team/enterprise use, Team or Enterprise is more realistic |
| • API and enterprise features | • Avatars, voice, and biometric content require clear consent and rights verification |
| • SOC 2 note in the enterprise context |
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GDPR-compliant usage possible?
The website demonstrates compliance with several key GDPR requirements for the EU/EEA region, in particular a published DPA, a list of subprocessors with processing locations, the inclusion of EU/EEA-related data protection laws in the DPA, and certification under the EU-U.S. Data Privacy Framework. At the same time, the website repeatedly mentions U.S.-based data centers for standard data storage and does not document a general EU data residency policy as the standard for Elai. According to the list of subprocessors, Amazon Web Services is listed as “United States or Ireland, as selected by the Customer and/or as set forth in the Agreement,” but the security page explicitly states “USA” for user data and backups. Therefore, GDPR-compliant use within the EU/EEA appears to be possible only under certain conditions and with contractual clarification; it is not clearly established as the standard case.
Positive Aspects
Positive aspects include a publicly available DPA, explicit reference to the GDPR and EU Area Law, a published list of subprocessors with locations, the possibility of AWS processing in Ireland as per the subprocessor list, and the published participation in the EU-U.S. Data Privacy Framework.
Negative
A negative aspect is that the website repeatedly cites the U.S. as the storage location for data, backups, and servers. The website does not clearly guarantee general EU data residency for Elai-SaaS. There is no clear statement on the website that customer data, uploads, prompts, or outputs are not used to train general models. Relevant certifications such as ISO 27001 or SOC 2 are not listed on the website.
Server Location
The Security page states that “all data, including backups” is stored in data centers in the United States, operated by AWS and DigitalOcean, among others. However, in the DPA’s list of subprocessors, Amazon Web Services is listed as “United States or Ireland, as selected by the Customer and/or as set forth in the Agreement.” For Microsoft Azure, the United States is specified. Therefore, the website does not clearly indicate a uniform EU/EEA data residency.