v1.2 Stable Now Live - Edge Infrastructure

Face Recognition
At The Infinite Edge

The world's first serverless, Rekognition-compatible face vector engine built on Cloudflare Workers. Scale to millions of faces with sub-100ms global latency.

dashboard.kogface.com

99ms

Global P99 Latency

10M+

Faces Indexed

275+

Edge Locations

100%

Serverless Ready

Core Infrastructure

Built for the Modern Cloud.

Stop managing complex GPU clusters. Kogface abstracts the MLOps so you can focus on building.

Serverless Compute

Trigger face recognition from any web browser or device without a backend server.

Edge Distribution

Your face vectors are distributed globally, ensuring lightning fast match times everywhere.

Enterprise IAM

Fine-grained permissions, multi-tenancy support, and full audit logging for compliance.

API Compatible

Fully compatible with AWS Rekognition. Migration takes less than 5 minutes.

Infinite Collections

Create millions of isolated collections. No limits on scale or vector dimensions.

Live Observability

Real-time metrics, billing ledger, and system health monitoring built-in.

Pricing Plans

Simple, Transparent Scaling.

No hidden fees. Pay only for the faces you index and the requests you make.

Why Kogface?

No GPU management or scaling required
Lower cost than AWS Rekognition (up to 60%)
Built-in Enterprise Multi-Tenancy
Developer-first playground and SDKs
Pay-as-you-go billing ledger
SearchFaces Example
// Initialize the Kogface Client
const kog = new KogfaceClient({
  accessKey: 'kf_live_...'
});

// Search for a person in a collection
const results = await kog.searchFaces({
  collectionId: 'employees-hq',
  image: fileInput.files[0],
  maxFaces: 1,
  threshold: 85
});

console.log(`Match found: ${results.Faces[0].ExternalImageId}`);
Response time: 42ms

Ready to Scale?

Join hundreds of developers building the next generation of biometric applications on our edge platform.