Built on World-Class AI Technology
We partner with leading AI providers and infrastructure platforms to deliver your innovations with zero vendor lock-in and maximum flexibility.
Why Our Multi-Provider Approach Matters
Don't get locked into a single AI provider. Our ATLAS™ framework ensures you can switch providers seamlessly as technology evolves.
No Vendor Lock-In
Switch between OpenAI, Claude, AWS Bedrock, or Google Vertex without rewriting your entire system.
Cost Optimization
Route requests to the most cost-effective provider for each use case, reducing AI spend by up to 40%.
Future-Proof Architecture
As new AI models emerge, easily integrate them into your existing architecture without disruption.
Our Technology Partners
We work with the world's leading AI providers and infrastructure platforms, integrating them through our SIGNAL™ and ATLAS™ frameworks.
AI Providers
Our ATLAS™ framework enables seamless integration with multiple AI providers, ensuring you always have access to the best models for your specific needs.
Anthropic Claude
OpenAI
AWS Bedrock
Google Vertex AI
Azure OpenAI
How we use it: Multi-provider routing with automatic fallbacks, cost-optimized model selection, and A/B testing across different AI models.
Data & Infrastructure
Vector databases and cloud infrastructure that power your AI systems with scalability and performance.
Pinecone
Redis
AWS
Azure
How we use it: Vector search for RAG systems, caching strategies to reduce costs, and scalable cloud infrastructure for production deployments.
Automation & Workflow
Workflow automation tools that help validate and experiment with AI opportunities during the SIGNAL™ discovery phase.
n8n
Workflow automation & integration platform
How we use it: Rapid prototyping of AI workflows, integration testing, and validation experiments during the discovery phase.
How We Integrate These Technologies
Our frameworks orchestrate these technologies to deliver your AI innovations efficiently and without vendor lock-in.
Discovery Phase
Context Analysis
Use n8n and automation tools to map current workflows and identify AI opportunities
Amplify Ideas
Prototype with multiple AI providers to test different approaches quickly
Sense & Prioritize
Compare cost-effectiveness across providers using real usage data
Experiment
Build validation POCs using n8n workflows with AI integrations
Implementation
Multi-provider architecture setup (OpenAI, Claude, Bedrock, Vertex)
Vector database integration (Pinecone/Redis) for RAG systems
Cloud infrastructure setup (AWS/Azure) with auto-scaling
Caching strategies to reduce API costs by 40%
Fallback mechanisms for provider outages
Cost monitoring and optimization dashboards
Performance testing across providers
You Don't Need to Figure This Out Alone
We've tested and integrated all these technologies so you don't have to. Our frameworks give you battle-tested patterns for AI implementation without the trial and error.
40%
Average cost reduction through multi-provider optimization
99.9%
Uptime with automatic provider failover
5+
AI providers ready to integrate on day one
Ready to Build Your Multi-Provider AI Strategy?
Book a consultation to learn how we integrate these technologies through our SIGNAL™ and ATLAS™ frameworks.
AI Quick Win
Discover your optimal AI provider mix in 1 week
Innovation Sprint
Design multi-provider architecture in 2 weeks
AI Implementation
Complete roadmap with tech stack selection
Not sure which package is right for you? Schedule a free consultation to discuss your AI technology stack.