Our Technology

Built for enterprise scale

Modern AI infrastructure designed for reliability, security, and performance at any scale.

Architecture Principles

The foundation of our platform

AI-Native Architecture

Built from the ground up for AI workloads with optimized inference pipelines and model serving infrastructure.

Security First

Enterprise-grade security with data encryption, audit logging, and infrastructure hosted on certified platforms.

API-First Design

Every feature accessible via REST APIs, enabling deep integrations with your existing tech stack.

Horizontal Scalability

Auto-scaling infrastructure that grows with your data volume and user base without performance degradation.

Technology Stack

Best-in-class tools and frameworks

AI & Machine Learning

GPT-4 & Claude
Large language model foundation
Custom ML Models
Proprietary scoring algorithms
Vector Embeddings
Semantic search & similarity
Real-time Inference
Sub-100ms predictions

Infrastructure

AWS / GCP
Multi-cloud deployment
Kubernetes
Container orchestration
PostgreSQL
Primary data store
Redis
Caching & real-time data

Security

SOC 2 Infrastructure
Via Supabase
AES-256
Data encryption at rest
TLS 1.3
Encryption in transit
Zero-trust
Network architecture
AI Gateway

Intelligent Model Routing

Our AI Gateway intelligently routes requests to the optimal model based on task complexity, latency requirements, and cost efficiency. This ensures you get the best results without overspending on compute.

  • Automatic fallback handling
  • Load balancing across providers
  • Response caching for efficiency
  • Usage tracking and cost allocation
<100ms
Target P99 latency
Multi
Cloud providers
9
AI enrichment stages
150+
Data points per company

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