Production-Grade AI Agents & Automation Systems for Modern Businesses
Drag AI helps businesses design, build, and deploy practical AI solutions — from intelligent agents and RAG systems to document automation, chatbots, voice workflows, and predictive analytics.
UK RegisteredAI consulting company focused on practical, secure, and measurable AI adoption.
Agentic AI Workflow Automation
Autonomous, tool-using agents that execute multi-step business workflows safely.
Enterprise RAG Systems
Source-grounded knowledge assistants over your internal documents and data.
Document Intelligence
Invoice, contract, lease, and report extraction with validation and human review.
AI Chatbots & Voice Assistants
Customer and internal assistants across chat, voice, and multilingual channels.
What We Do
We build production-grade AI systems that solve real business problems.
AI Strategy & Consulting
Architecture design and roadmap planning for AI transformation initiatives.
Custom AI Development
End-to-end implementation of agentic systems, RAG, and intelligent automation.
Proof of Concept
Rapid prototyping to validate AI use cases before full-scale deployment.
What Drag AI Builds
Production-ready AI capabilities, applied to real operational workflows.
AGENTIC AI
Agentic AI Workflow Automation
Autonomous, tool-using agents that execute multi-step business workflows with guardrails and human checkpoints.
RAG
Enterprise RAG Systems
Source-grounded knowledge assistants that retrieve trusted answers from your internal documents and systems.
DOCUMENT AI
Document Intelligence
Extraction, classification and summarisation for invoices, contracts, leases, claims, and forms.
CHAT & VOICE
AI Chatbots & Voice Assistants
Customer-facing and internal assistants across web, messaging, and voice with safe escalation.
PREDICTIVE ANALYTICS
Predictive Analytics
Forecasting, churn, anomaly, and risk models integrated with your existing dashboards and workflows.
STRATEGY & PoC
AI Strategy & PoC Development
AI opportunity discovery, architecture review, and pragmatic proofs of concept that move to production.
From prototype to production
Many AI projects fail because they stop at prototypes. Drag AI focuses on production-ready systems with clear business goals, secure architecture, evaluation metrics, monitoring, fallback handling, and measurable outcomes.
Business-first AI use-case discovery
We start with the workflow, the data, and the outcome — not the model.
Secure architecture and data-aware design
Access control, observability, and data-handling decisions built in from day one.
Human-in-the-loop workflows
Approval points and audit trails so humans stay in control of consequential actions.
PoC-to-production deployment roadmap
A clear path from validated prototype to a monitored, maintainable production system.
How We Work
A clear, transparent approach from discovery to deployment.
01
Discover
Understand business problem, users, systems, data, and success metrics.
02
Design
Define AI workflow, architecture, integrations, data flow, and evaluation.
03
Build PoC
Create focused proof of concept for one high-value use case.
04
Evaluate
Measure accuracy, reliability, latency, cost, usability, and business value.
05
Deploy
Move to secure production-ready setup with APIs, monitoring, and fallback.
06
Monitor
Track errors, usage, edge cases, model performance, and user feedback.
Why Drag AI
Engineering-First
Robust architecture and clean implementation over flashy demos.
Production-Ready
Systems designed to scale, maintain, and evolve with your business.
Transparent
Clear communication about what is feasible and what delivers real value.
Led by Experts
Deep technical expertise combined with business acumen
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