Sold by: Hever Translations
Deployed on AWS
High-accuracy non-SaaS (AWS self-hosted) platform for Hebrew, Arabic, and English transcription and translation. Combines advanced STT and professional editing with automated AI insights to transform meetings into actionable data.
Overview
HeverAI is an enterprise-grade meeting intelligence platform that captures, transcribes, translates, and analyzes meetings in real time and post-meetings. Built specifically for Hebrew, Arabic, English and other spoken languages in Israel, HeverAI delivers exceptional accuracy even in noisy, multi-speaker environments. The platform is powered by more than 60 years of leadership in transcription and translation in Israel - the countrys pioneering and leading firm in the field - combining deep linguistic expertise with advanced AI. With built-in recording, real-time transcription and translation, GenAI-powered insights, advanced search and archiving, and a personal meeting agent that manages the entire meeting lifecycle, Hever transforms conversations into structured, actionable intelligence. An integrated review studio, domain-specific glossaries, and secure, cloud-native scalability make Hever a trusted solution for mission-critical enterprise communication.
Highlights
- Multi-Language Mastery - Optimized STT engine specifically for Hebrew and other supported languages backed by over 60 years of real-world transcription and translation expertise in Israel. End-to-End Meeting Lifecycle - Record meetings, generate real-time and post-meeting transcription, translation, manage insights, follow-ups, and content through a single intelligent meeting agent.
- Actionable AI Insights - Automatically produce summaries, action items, sentiment analysis, and key topics from meeting content to support faster decision-making.
- Flexible & Secure Deployment - Available as a cloud-native solution on AWS as a private non-SaaS deployment to meet enterprise security and compliance requirements.
Details
Sold by
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month | Cost savings % |
|---|---|---|---|
hvr_app | hvr_app | $10,000.00 | 88% |
Basic Tier | Basic Tier - Up to 1 ami instance used per month | $10,000.00 | 88% |
Starter | Starter plan - up to 50 items/month, up to 5 users, transcription & translation | $2,500.00 | 0% |
Plus | Plus plan - unlimited items, AI insights, reports, up to 15 users | $6,000.00 | 0% |
Pro | Pro plan - unlimited items, AI agent, custom workflows, above 15 users | $15,000.00 | 0% |
Vendor refund policy
All sales are final. If a buyer experiences technical issues that prevent the product from being used as intended, they may request a refund within 14 days of purchase. Each request is reviewed individually.
Refund requests must include the AWS account ID and order details and be sent to:
Refunds are processed in accordance with AWS Marketplace policies.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
beta1.0
Additional details
Usage instructions
Usage Instructions
Overview This product is delivered as an Amazon Machine Image (AMI) that provides a preconfigured Web and API server. All required services are deployed automatically using Docker during the first boot through an EC2 user data script. No manual installation is required.
The product does not store sensitive customer data by default and does not use proprietary encryption or cryptographic keys.
Prerequisites
- An active AWS account
- Permission to launch EC2 instances
- An EC2 key pair (for optional SSH access)
- A security group allowing inbound access on:
- Port 80 (HTTP)
- Port 22 (SSH recommended to restrict to your IP)
Launching the Instance
- Subscribe to the product in AWS Marketplace.
- Choose Launch through EC2.
- Select an instance type (for example: t3.small or higher).
- Select or create an EC2 key pair.
- Configure a security group with ports 80 and 22 open.
- Launch the instance.
After startup, the instance automatically initializes the application using Docker. This may take several minutes.
Accessing the Application
-
Open the EC2 console.
-
Select your running instance.
-
Copy the Public IPv4 address or Public DNS name.
-
Open a web browser and navigate to:
http://<public-ip>/
Example: http://203.0.113.25/
The web interface and API are available on port 80.
Optional SSH Access If needed, connect to the instance using:
ssh -i <key.pem> ubuntu@<public-ip>
Use SSH for troubleshooting, log inspection, or advanced configuration.
Monitoring and Health Checks
-
Verify that EC2 status checks show 2/2 passed.
-
Confirm that the web interface loads correctly.
-
To check container status via SSH:
docker ps docker logs <container-name>
You may also use Amazon CloudWatch for monitoring CPU, memory, and network usage.
Data and Security
- Application services run inside Docker containers.
- No sensitive credentials are stored by default.
- If you store custom data, use standard AWS backup methods such as EBS snapshots.
- For production use, restrict SSH access and consider enabling HTTPS.
Service Quotas This product uses standard EC2 resources. Ensure your account has sufficient EC2 vCPU and instance quotas. You may request increases through AWS Service Quotas if needed.
Upgrade Instructions To upgrade to a newer version:
- Back up any required data.
- Launch a new instance using the latest AMI version.
- Restore data if applicable.
- Test the new instance.
- Stop or terminate the previous instance.
In-place upgrades are not supported.
Support For product support and documentation, refer to the AWS Marketplace listing or contact the seller using the provided support information.
Support
Vendor support
Support email: support@hever.co.il
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
High-accuracy SaaS and platform for Hebrew, Arabic, and English transcription and translation. Combines advanced STT and professional editing with automated AI insights to transform meetings into actionable data.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.