
Multi-Model
AI Integration Platform
Discover how we built a unified sovereign API platform that provides secure, high-throughput access to multiple LLMs through a single endpoint, ensuring data sovereignty while enabling seamless AI integration across enterprise applications.
API Platform Overview
A sovereign API gateway providing unified access to multiple LLMs with enterprise-grade security, performance, and reliability.
2018
API Platform Launch
Single Endpoint
Unified LLM access
Data Sovereignty
Complete data control
< 100ms
Average latency
15+ LLMs
Supported models
Zero Downtime
Fault tolerance
Challenges
LLM Fragmentation
Organizations struggling with different APIs, formats, and protocols for each LLM provider, creating integration complexity.
Data Sovereignty
Enterprise concerns about data leaving controlled environments when using third-party LLM services and API gateways.
Performance & Reliability
Need for high-throughput, low-latency access with fault tolerance and automatic failover across multiple LLM providers.

Our Solution
A sovereign API platform providing unified access to multiple LLMs.
Supported Use Cases
Our sovereign API platform supports a comprehensive range of LLM capabilities through standardized endpoints.
Proven Impact
Measurable results from our sovereign LLM API platform.
Integration Time: 85% reduction vs. direct LLM APIs.
Development Cost: 60% savings on multi-LLM support.
Data Sovereignty: 100% on-premise processing.
API Reliability: 99.9% uptime with automatic failover.
Performance: Sub-100ms average response time.
Scalability: Linear scaling to 10k+ requests/second.
Meet the Edstem TeamOur Development Journey
Collaborate, conceptualize, conceive, and create โ our development journey defines a dynamic process where clients are integral.
2023
Q1 2023
Q2 2023
Q3 2023
Research & Planning
User acceptance testing and performance optimization
Architecture Design
Full deployment and enterprise rollout
MVP Development
Cross-platform mobile application development
Security Integration
Ongoing feature development and optimization
Q4 2023
Q1 2024
Q2 2024
Current
Beta Testing
Production Launch
Mobile Platform
Continuous Enhancement
2023
Research & Planning
User acceptance testing and performance optimization
Q1 2023
Architecture Design
Full deployment and enterprise rollout
Q2 2023
MVP Development
Cross-platform mobile application development
Q3 2023
Security Integration
Ongoing feature development and optimization
Q4 2023
Beta Testing
Q1 2024
Production Launch
Q2 2024
Mobile Platform
Current
Continuous Enhancement



