v1.2 Stable Now Live - Edge Infrastructure

Enterprise Biometrics
Accelerated at the Edge

Kogface provides high-performance, AWS-compatible face recognition infrastructure. Deploy globally in seconds with sub-50ms latency and enterprise-grade security.

Real-time Recognition Engine

Lightning Fast
Face Vectorization.

Our proprietary engine processes faces in sub-50ms, generating 1024-dimension vectors optimized for global distribution.

42ms

Avg Latency

99.8%

Accuracy

Face Recognition Demo
Matching against 12.4M records...
Verified Match

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

Sub-50ms latency globally. Your biometric infrastructure is distributed across the world's largest edge network.

Privacy by Design

Enterprise-grade security with isolated tenants and end-to-end encryption. Built for strict compliance.

AWS Drop-in Ready

100% compatible with AWS Rekognition. Migrate in minutes by changing a single endpoint URL.

Elastic Scale

Built on serverless infrastructure. Scale to millions of faces and billions of requests with zero management.

Full Observability

Real-time metrics, audit logs, and system health monitoring at your fingertips.

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
import { RekognitionClient, SearchFacesCommand } from "@aws-sdk/client-rekognition";

// Drop-in replacement for AWS Rekognition
const client = new RekognitionClient({
  region: "global",
  endpoint: "https://api-cms.kogface.com", // Your Kogface Edge Endpoint
  credentials: {
    accessKeyId: "kf_live_...",
    secretAccessKey: "..."
  }
});

const command = new SearchFacesCommand({
  CollectionId: "employees-hq",
  FaceMatchThreshold: 85,
  MaxFaces: 1,
  Image: { Bytes: imageBuffer }
});

const { FaceMatches } = await client.send(command);
console.log(`Verified: ${FaceMatches[0].Face.ExternalImageId}`);
Response time: 42ms

Ready to Scale?

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