AI Tech Stack
Technical Architecture & Development Lifecycle
To detail your technical infrastructure and development process, appealing to technically-minded stakeholders
Our Development Approach
- Discovery & Feasibility
- Agent Design & POC
- Secure Development & Integration
- Governance Implementation
- Performance Monitoring & Scaling
AI Technology Stack: Built for Agentic Intelligence
Core AI & Models
GPT-4, Claude, LLaMA, OpenAI, Azure OpenAI, Mistral, Llama 3. Vision & multimodal models like CLIP, GPT-4o, and Gemini.
Agentic Frameworks
LangChain, Auto-GPT, CrewAI, Haystack for autonomous workflows, tools, and planning.
Knowledge & Memory
Vector databases like Pinecone, Milvus, and Weaviate for long-term semantic memory.
Tools & Integration
API calling, browser automation, code execution, and integration with platforms like Salesforce and ServiceNow.
Infrastructure & Deployment
Cloud-native on AWS, GCP, and Azure for secure, high-performance deployment.
Monitoring & Optimization
Real-time logging and tracing with tools like LangSmith and PromptLayer, alongside human feedback and alignment controls.