AI Strategy Development & Road-mapping

Help organizations develop comprehensive AI strategies aligned with business goals, including technology selection, implementation timelines, and ROI analysis.

AI Platform Evaluation & Vendor Selection

Guide teams through selecting LLM providers, vector databases, and cloud infrastructure for scalable AI. 

Agent-Oriented AI Solution Design

Design multi-agent systems that automate complex workflows, decision-making processes, and task orchestration using MCP, Agent Frameworks, and Reinforcement Learning.

Conversational AI Design

Architect intelligent chatbots with multi-agent capabilities and memory for support, engagement, and workflow automation.

Retrieval-Augmented Generation (RAG) System Design

Create customized knowledge management systems that leverage embeddings, vector databases, and LLMs to deliver accurate, context-aware responses.

Enterprise Knowledge Graph Design

Deploy Neo4J-based solutions that transform disconnected data into actionable knowledge networks, improving decision-making and operational efficiency.

Custom LLM Implementation & Fine-tuning

Deploy organization-specific language models optimized for particular domains and use cases, including integration with enterprise data sources.

AI Proof-of-Concept Development

Rapidly prototype AI applications to validate business cases, demonstrate value, and secure stakeholder buy-in before full-scale implementation.

AI-Powered Recommendation Engines

Build graph and vector-based recommendation systems, ideal for personalization in retail, education, or health.

Data Labeling & Embedding Strategy

Design embedding pipelines and labeling.