OUR CAPABILITIES
AI Development Services
Enterprise-grade architectures built from the ground up to guarantee security, performance, and scalability.
Autonomous Agent Architectures
We construct stateful multi-agent systems that autonomously solve complex enterprise objectives. By dividing operations into graph structures (DAGs), agents collaborate, validate, and correct their own logic in sandbox runtimes.
Key Capabilities
- Supervisor-Worker delegation systems
- Self-correcting feedback evaluations
- Dynamic routing and planning gates
- Custom sandbox tool execution environments
- State-preservation memory managers
Architectural Stack
Frameworks:
LangGraphAutoGenSanjeevi Workflow Core
Target Models:
Llama-3-Sanjeevi-70BClaude 3.5 SonnetGemini 1.5 Pro
Infrastructure:
Docker SandboxesRedis Stateful StoresKubernetes Runners
Off-the-Shelf APIs vs. Sanjeevi Custom Architectures
Why scaling enterprises move away from standard API wrappers toward custom model adaptation.
| Metric Category | Standard Wrapper APIs | Sanjeevi Architectures |
|---|---|---|
| Data Security & Privacy | Data processed externally; risk of leakage, prompt logging policies. | Air-gapped on-premise execution or private VPC cluster deploy. Zero tracking. |
| API Latency | High fluctuation (2000ms+); depends on cloud traffic queues. | Low fluctuation (120ms-500ms); local vLLM nodes or optimized inference servers. |
| Compute Operational Costs | High recurring token pricing. Scaling costs increase linearly. | Fixed cloud node costs. Savings up to 75% via small specialized adapters. |
| Execution Safety | Model prone to hallucinations; unstructured outputs break servers. | Strict syntax schemas, graph nodes validation, self-correcting evaluation code. |
Ready to architect your cognitive stack?
Schedule a technical call with our engineering team. We will outline a recommended model, vector storage path, and implementation estimate.
Request Free Architecture Review