FEVER Multimodal DB: Self Organizing Media Files

Most image search means shipping your photos to someone else's cloud. FEVER changes that. It is a private media-intelligence appliance that runs entirely inside your own AWS VPC, deployed with a single CloudFormation template. Visual embeddings, audio transcription, document extraction, video indexing, near-duplicate asset 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.

Lowdown Labs is a member of the AWS ACE (APN Customer Engagements) program, building purpose-built ultra-efficient AI infrastructure for teams that cannot compromise on data privacy. FEVER is powered by a patent-pending Fourier encoder system designed from the ground up for high scale media intelligence.

Whether you custody user generated content like product catalogs, scanned documents, voice memos, videos; if you have moderation queues to approve user content; or you need a great database to collate and curate your AI training data: FEVER gives you real media intelligence without ever handing that data to a third party.

• Dominate Duplicates: Cluster dupe and near-dupe content robustly against resizes, re-encodes, and crops with best-in-class cross-resolution tolerance from our patent-pending Fourier encoder. Find storage eating dupes and their uploaders!
• 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. Packaged secure API safe to expose to your backend systems - your users get semantic search today.
• Feed your agents: An MCP endpoint (and a plain REST API) let an AI agent run media retrieval augmented generation 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.
• Curate training data: Dataset curation should be as easy as an internet search. FEVER provides robust, SQL based dataset management, allowing you to move faster when training your own AI in house. Now with synthetic content scoring!
• Multi-format, multi-resolution by design: HEIC, HEIF, WebP, PNG, JPEG, TIFF, PDF and much more. No conversion or resizing required.

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.

If your account does not have adequate GPU enabled quota - you will be able to horizontally scale our solution regardless and get the job done. The best part is, that if you do have access to GPU compute, FEVER supports heterogenous scaling so your work gets done at your speed.

• A single Amazon EC2 c7i node (16 vCPU, no GPU) indexes about 50 images per second. (Our video indexer yields ~0.5 minutes of content per second).
• A single g5.xlarge (NVIDIA A10G) indexes about 2,800 images per second - roughly 1 million images in about 6 minutes. (~30 minutes of video per second)
• Queries return in millisecond timescales.
• 5000 QPS at DB layer measured on a single node 16 vCPU C7i
• Linear heterogenous scale-out across a modest CPU fleet when GPU is unavailable or unnecessary.

See our specification sheet for more benchmarks and details on scalability.

FEVER is designed so that user data, generated metadata, and queries never leave your AWS account. The deployment uses least-privilege IAM roles, runs behind an internal load balancer, and stores the index 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.

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 or EKS.

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.