Platform

AI-native gene editor design with governed scientific workflows.

GeneGenie separates product surfaces from data contracts so model services, internal APIs, and experimental evidence can be connected without rewriting the application.

Raw Data

Logical Rules

Knowledge Base

Agent Roles

Raw Data Ingestion

Structured Knowledge Graph

Semantic Linking

Task Orchestration

Optimized Workflow

Agent Collaboration

Real-time Analytics

Actionable Insights

Predictive Models

Autonomous Actions

Agentic Loop

API Integrations

Technical overview

Designed around replaceable data contracts

The portal uses explicit interfaces for metrics, event logs, and sequence grid cells. Empty and loading states are first-class so integration can begin before backend availability.

DashboardMetrics

Operational metrics loaded from an API boundary.

SystemEvent

Timestamped workflow events from orchestration services.

SequenceGridCell

Visualizer cells representing indexed biological regions.

Production posture

Authentication, API clients, and persistence are intentionally isolated from the marketing pages. The portal page is ready for integration with session-aware server routes or client-side data libraries.