Designing Efficient Agentic Solutions
Equationz specializes in implementing scalable agentic AI solutions using open-source frameworks like LangGraph, deployed on robust runtimes such as Kubernetes (K8s), and runtime options from Cloud Service Providers such as Amazon Bedrock AgentCore. These approaches enable enterprises to evolve monolithic applications into dynamic, AI-first architectures that reason, plan, and act autonomously.
Agentic Design
LangGraph provides flexible primitives for building stateful, multi-agent workflows with cycles, human-in-the-loop moderation, and customizable control flows. Equationz leverages it to create reliable agents for complex tasks like travel orchestration or supply chain automation, ensuring modularity without black-box limitations.
Scaling Agentic AI
Kubernetes enables horizontal pod autoscaling for AI agents, handling demand spikes via HPA and metric-driven scaling on AWS EKS. Bedrock AgentCore complements this as an alternative serverless runtime option with session isolation, persistent memory, secure tool orchestration (via MCP Gateway), and observability, integrating seamlessly with LangGraph (Or Agents built using any other Open source framework) for production-grade deployment.
Monolith to AI-First Transformation
Equationz decomposes monolithic apps into agentic services, where agents dynamically compose logic at runtime using tools, memory, and multi-agent hierarchies. This shift delivers adaptability, personalization, and 40%+ faster deployment cycles, proven in sectors like airlines and hospitality without full rewrites.
Alignment and Value
- Operational Excellence: Unified observability and evaluations reduce debugging time by 50% via OpenTelemetry traces.
- Cost Efficiency: Serverless scaling and memory sharing cut token sprawl; K8s spot instances optimize inference.
- Security & Reliability: IAM policies, policy engines, and isolated sandboxes ensure compliance in regulated industries.
Contact Equationz to pilot your agentic transformation today.