Sold by: Lowdown Labs
Deployed on AWS
FEVER is a private image-intelligence appliance running entirely in your AWS VPC. Deduplicate, search, and power visual RAG with no data leaving your account.
Overview
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FEVER Admin Panel
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FEVER Search Panel
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Example dataset image search
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Example dataset image deduplication
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Product video
Most image search means shipping your photos to someone else's cloud. FEVER changes that. It is a private image-intelligence appliance that runs entirely inside your own AWS VPC, deployed with a single CloudFormation template. Embedding, near-duplicate detection, semantic search, and reranking all happen inside your account. Our efficient models ship directly in the container - zero external calls at inference time and nothing that phones home.
About Lowdown Labs
Lowdown Labs is a member of the AWS ACE (APN Customer Engagements) program, building purpose-built image intelligence infrastructure for teams that cannot compromise on data privacy. FEVER is powered by a patent-pending Fourier encoder architecture designed from the ground up for cross-resolution visual matching.
Who It's For
If you custody user photos, product catalogs, scanned documents, or moderation queues, FEVER gives you real image intelligence without ever handing that data to a third party.
Core Capabilities
- Kill duplicates: Cluster near-duplicate images robustly against resizes, re-encodes, and crops with best-in-class cross-resolution tolerance from our patent-pending Fourier encoder.
- Search everything: Reverse-image and text search with calibrated match scores, plus an admin view to audit what is actually sitting in your S3 buckets.
- Feed your agents: An MCP endpoint (and a plain REST API) let an AI agent run visual RAG scoped to a single downstream customer, with per-customer isolation enforced server-side via a scoped key. Your customer only ever sees their own data.
- Multi-format, multi-resolution by design: HEIC, HEIF, WebP, PNG, JPEG, TIFF, PDF. No conversion or resizing required.
Performance Without Expensive Hardware
FEVER (Fourier Encoder for Visual Embedding and Retrieval) indexes at low resolution and leans on a bespoke, high performance cross-resolution vision model to hold accuracy, so it flies on commodity CPUs without requiring expensive quota upgrades or G-class nodes.
- A single Amazon EC2 c7i node (16 vCPU, no GPU) indexes about 50 images per second.
- A single g5.xlarge (NVIDIA A10G) indexes about 2,800 images per second - roughly 1 million images in about 6 minutes.
- Queries return in millisecond timescales.
- 226 Search Queries / Sec Throughput with an A10G.
- Linear scale-out across a modest CPU fleet when GPU is unavailable or unnecessary. Heterogeneous hardware scaling supported as well.
Security and Privacy by Architecture
FEVER is designed so that images, vectors, and queries never leave your AWS account. The deployment uses least-privilege IAM roles, runs behind an internal load balancer, and stores vectors in managed Postgres (pgvector) or Aurora within your VPC. You choose the CIDR allowed to reach the service. Data is encrypted in transit and at rest using AWS-managed keys.
Turnkey Deployment on AWS
FEVER runs on ECS Fargate with managed Postgres (pgvector) or Aurora, optional OpenTelemetry metrics and CloudWatch dashboards, and least-privilege IAM. You pick your compute profile, your VPC, and the CIDR allowed to reach it. Everything else is provisioned for you via CloudFormation.
Getting Started
Subscribe on AWS Marketplace, deploy the CloudFormation template into your VPC or use the Helm deploy option - load up the admin portal to begin searching your corpus. A deployment runbook, API and MCP reference, and admin resources are included with every subscription.
Schedule a deployment walkthrough or demo directly with the Lowdown Labs founder: https://calendar.google.com/appointments/schedules/AcZssZ3eU41AppzWvN6N7Fc5dai8pxZqmrtOHqVvuDiLf3PQorqI5Q5vZ04GPEpEibMlXAUkqfBL6sVC
Private-offer customers receive hands-on onboarding for their first deployment, including a guided walkthrough of the CloudFormation stack, VPC configuration, and initial ingestion setup.
Highlights
- Simple and private. Runs entirely in your own AWS VPC. Images, vectors, and model weights never leave your account, with no external calls at inference time. Deploy with one CloudFormation template onto ECS Fargate.
- Deduplicate, query, and audit. Finds duplicate and near-duplicate images across resizes, re-encodes, and crops, plus reverse-image and text search and an agent-ready MCP endpoint for visual RAG scoped per customer.
- EfficientAI. CPU-native, no GPU required but only recommended: about 50 images per second per 16-vCPU node, scaling linearly across a fleet. Add a GPU node for higher-throughput query and indexing. Any image format works with no conversion.
Details
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Delivery method
Supported services
Delivery option
FEVER Appliance via CloudFormation Deploy (Recommended)
FEVER appliance via Amazon EKS (Helm chart)
Latest version
Operating system
Linux
Deployed on AWS
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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/12 months |
|---|---|---|
FEVER Appliance License | A single tenant FEVER appliance deployed into your own AWS VPC via CloudFormation. Entitles unlimited private image ingestion, natural language and image to image semantic search, near duplicate detection, and the agent ready MCP server for the full contract term. Your images and index do not leave your account. Includes horizontal scaling across nodes and all product updates during the term. One entitlement covers appliance deployment. | $49,999.00 |
Dimensions summary
This listing offers one pricing option: the FEVER Appliance License, billed per unit under a contract term. You buy entitlements measured in units, where one entitlement covers deploying a single-tenant appliance into your own AWS VPC. The license runs for the full contract term and includes product updates during that period. It also covers horizontal scaling across nodes, so you can add capacity without changing the pricing structure. Pricing scales by the number of unit entitlements you purchase rather than by usage volume or image count.
Top-of-mind questions for buyers
One unit entitles you to deploy a single-tenant FEVER appliance into your own AWS VPC using CloudFormation. It covers unlimited private image ingestion, natural language and image-to-image semantic search, near-duplicate detection, and an agent-ready MCP server for the contract term.
No. The license entitles unlimited private image ingestion and includes horizontal scaling across nodes. You add capacity by scaling nodes without a change to the pricing structure. Cost scales by the number of unit entitlements you buy, not by image count or usage volume.
Your images and index stay inside your own AWS account. The appliance runs in your VPC, so data does not leave your account. This single-tenant design supports privacy and compliance needs. The license also includes product updates during the contract term.
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Vendor refund policy
If FEVER does not meet your needs, email dev@gimmelowdown.com within 7 days of your initial contract purchase for a full refund of that term. Requests after 7 days are reviewed case by case. FEVER runs in your own AWS account, so the underlying AWS infrastructure charges are billed by AWS and are not refundable by Lowdown Labs.
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
FEVER Appliance via CloudFormation Deploy (Recommended)
Supported services: Learn more
- Amazon ECS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Bugfixes, ease of deployment optimizations + performance optimizations
Additional details
Usage instructions
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Open CloudFormation with our template pre-loaded (switch to your Region first): https://console.aws.amazon.com/cloudformation/home#/stacks/create/review?templateURL=https://lowdown-marketplace-assets.s3.amazonaws.com/fever/1.1.0/fever-appliance.yaml&stackName=fever
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Under "Start here", set four things:
- VpcId
- two Private subnets in different Availability Zones
- AllowedClientCidr: who can reach the appliance. Set it to your VPC's CIDR block (e.g. 10.0.0.0/16). 0.0.0.0/0 is not allowed.
- (optional) your image bucket ARN for ready to go bucket permissions
- (optional) CreateBastion=true for one-command admin access.
Everything else is prefilled.
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Click Create stack. The first launch pulls a ~5 GB image, so the first task takes a few minutes. This is normal.
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At CREATE_COMPLETE, read the stack Outputs. Get the admin token: aws secretsmanager get-secret-value --secret-id <AdminTokenSecretArn> --query SecretString --output text
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The load balancer is internal - reach AdminUrl from inside the VPC (VPN, bastion, or SSM). If you set CreateBastion=true, run the BastionPortForwardCommand output, then open http://localhost:8080/admin . Sign in with any username and the token as the password.
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Open the built-in Get Started guide: create an API key, point "Ingest an S3 bucket" at your images, then run a search and review duplicates. Full REST docs at /docs.
Resources
Vendor resources
Support
Vendor support
SUPPORT CHANNELS
Support is provided by Lowdown Labs via email at dev@gimmelowdown.com during business hours, 9 - 5 PM Pacific Time (Monday through Friday).
RESPONSE TIME
Target initial response time is 30 minutes during business hours for all support requests.
ESCALATION PATH
For urgent production issues, add [URGENT] to the email subject line. All requests go directly to the founder for immediate service.
COVERAGE
Support covers:
- Deployment assistance (CloudFormation, VPC, and networking configuration)
- API and MCP integration guidance
- Ingestion and search tuning
- Upgrade guidance and troubleshooting
- Refund requests
INCLUDED RESOURCES
A deployment runbook, API and MCP reference documentation, and an admin portal with resources to learn and manage core functions are included with every subscription.
ONBOARDING
Private-offer customers receive hands-on onboarding for their first deployment, including a guided walkthrough of the CloudFormation stack, VPC configuration, and initial ingestion setup.
For questions about billing, refunds, or account issues, contact the Lowdown Labs team at the email above.
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.
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