Building Practical AI Systems for Real Business Workflows
We are an AI consulting company focused on building production-grade systems that deliver real business value — from RAG pipelines to multi-agent workflows.
Our Mission
Our mission is to help businesses move from AI curiosity to measurable AI implementation.
We bridge the gap between AI capabilities and real-world business applications. Organisations need production-ready systems, not just promising demos. Our approach: understand your problem, design the right architecture, and build systems your team can maintain and evolve — no vendor lock-in, no black boxes, just clean, documented AI infrastructure.
What Makes Us Different
How we think about practical, production-ready AI delivery.
Business-first AI use-case discovery
We start with the workflow, the data, and the outcome — not the model or the demo.
Strong technical implementation
Robust architecture, clean code, and systems built to be maintained beyond the first release.
Production-grade architecture thinking
Observability, evaluation, fallback paths, and security designed in from day one.
Clear PoC-to-production roadmap
A staged path from validated prototype to a deployed, monitored production system.
Focus on measurable outcomes
Cycle time, accuracy, reviewer effort, cost — defined up front and tracked in delivery.
Meet the Founders
Technical depth meets business strategy
Deepesh Agrawal
Co-founder / AI Solutions Architect
AI Architect with 10+ years building production-grade AI systems across Generative AI, Agentic AI, RAG, NLP, Computer Vision, and MLOps. Previously contributed to enterprise AI platforms at IBM Labs, Fujitsu Research, and AMD, and delivered AI/ML solutions for clients including Swiss Re and Capital Group at UST (Abzooba). Through Drag AI, helps businesses design and deploy custom AI agents, autonomous workflows, RAG pipelines, and scalable AI systems that move from prototype to production.
Experience
10+ years | IBM Labs, Fujitsu Research, AMD, UST
Focus Areas:
- •Technical architecture & AI system design
- •Agent development & workflow automation
- •Production deployment & scaling
Nishit Gupta
Co-founder / Business Development & Strategy
Business strategist with 10+ years across technology, e-learning, market research, consulting, and client growth. Expertise in lead generation, market analysis, consultative selling, digital transformation, automation, and CRM-led campaigns. MBA in International Business from James Cook University, Australia. Brings a business-first, global perspective to AI adoption, connecting practical business needs with production-grade AI agents, autonomous workflows, and enterprise-ready systems.
Experience
MBA International Business | 10+ years Business Development
Focus Areas:
- •Client partnerships & engagement
- •Business strategy & growth
- •Market development & lead generation
How We Engage
Consulting
Strategy and architecture for AI transformation. Identify use cases, design roadmaps, build internal capabilities.
Development
End-to-end implementation of AI systems. Iterative sprints with regular demos and clear deliverables.
Proof of Concept
Rapid prototyping to validate use cases. Technical feasibility, cost analysis, and production pathway.