Everything it takes to put AI to work.
Three core services take you from strategy to production. Four specialist capabilities take you further.
Consult. Engineer. Productize.
AI Consulting & Analytics
Business goals, turned into a ranked, measurable AI roadmap — grounded in your data, not hype.
- AI Opportunity Assessment
- Data Readiness & Foundations
- Predictive Analytics
Forward-Deployed Engineering
Engineers embedded with the people who own the problem, shipping AI into the systems you already run.
- AI Agents & Copilots
- Knowledge Assistants (RAG)
- Document AI
AI Product Engineering
From first idea to launched AI product — architecture, apps, integrations and the loop that makes it better.
- AI Product Strategy & MVP
- AI Architecture
- Apps & Experiences
Where AI gets really interesting.
Specialist capabilities for organisations ready to go beyond chatbots.
Voice & Indic-language AI
Voice agents and assistants in Telugu, Hindi, Tamil, English and more — on the phone, WhatsApp and the web.
- Voice Agents
- WhatsApp Assistants
- Indic Language AI
Agentic AI & Automation
Multi-agent systems that plan, use your tools and finish real work — with people approving what matters.
- Multi-agent Workflows
- Tools & MCP Integration
- Human-in-the-loop Controls
Private & Sovereign AI
Private language models on your servers or private cloud — so sensitive data never leaves your control.
- Private LLM Deployment
- Fine-tuned Small Models
- Private Text-to-SQL
AI Trust, Evals & LLMOps
Evaluation, guardrails, monitoring and cost control for AI in production — so quality never drifts silently.
- LLM Evaluation
- Guardrails & Red-teaming
- Monitoring & Observability
Start small. Scale what works.
Every engagement is bounded by a clear outcome, with cost and timeline agreed upfront.
XenPods
Fixed-scope AI sprints
- One clearly defined outcome
- Fixed cost and timeline, agreed upfront
- Explicit acceptance criteria
- Working result, not a slide deck
Best for Testing a use case before scaling
XenBuilds
Production AI systems
- Multiple outcomes across systems
- Integrated into your stack
- Evaluated, secured and monitored
- Full ownership transfer
Best for Taking AI into day-to-day operations
Embedded team
Forward-deployed engineers
- Engineers inside your team
- Continuous roadmap delivery
- Knowledge stays in-house
- Flexible scope by quarter
Best for An ongoing AI roadmap
Not sure where to start?
Share the problem — and get a recommendation for the right service and engagement model.