AI, Data & GenAI — Business Unit
Enterprise AI that respects your compliance boundary.
Generative AI applications, retrieval-augmented systems, and data engineering, built to run where your data can legally live, from public cloud to fully air-gapped on-prem GPU infrastructure.
The challenge we solve
The challenge we solve
Most enterprise GenAI initiatives die in one of two places: the pilot that never reaches production, or the compliance review that kills cloud-hosted AI for sensitive data. We solve both. Our engineering team ships production AI systems (agents, RAG pipelines, and data platforms) and deploys them wherever your governance requires: your cloud account, your VPC, or entirely inside your own data center on dedicated GPUs.
What we do
What we do
GenAI application development
Domain-specific AI assistants and agents built for production, not demos.
On-prem and air-gapped AI
Full RAG stacks (models, retrieval, indexing) running on your GPUs with zero external dependency.
AI/ML & data engineering
Data pipelines, lakes, and ML systems that give AI something trustworthy to reason over.
Agentic workflow engineering
Multi-agent systems with human-in-the-loop controls, the same architecture behind our infraBOT product.
AI governance & security
Access control, audit trails, and data-sovereignty design as first-class requirements.
Differentiators
Why choose us
We ship products, not just pilots
Investment Agent and Safety Agent are productized proof of this practice.
Sovereignty-first architecture
air-gapped GPU deployments for legal, financial, and defense-adjacent clients.
Infrastructure fluency
the AI team sits beside the teams that run GPU infrastructure, storage, and security.
Ecosystem
Technologies & partnerships
The gap between a GenAI demo and a GenAI system is engineering: retrieval quality, access control, evaluation, deployment architecture, and the unglamorous integration work. That's what this practice does. We've delivered a Safety Assistant for the manufacturing division of a top Indian conglomerate, built agentic research tooling for private-market investors, and deployed fully air-gapped RAG stacks for organizations where data sovereignty is non-negotiable.
What we do
Use-case discovery & feasibility
Identify where GenAI genuinely earns its keep in your workflows, with honest no-go calls.
RAG system engineering
Document ingestion, vector indexing, semantic search, and response generation tuned for accuracy on your corpus.
Multi-agent applications
Specialized agents that plan, execute, and synthesize across complex tasks, with human-in-the-loop approval where stakes demand it.
Deployment engineering
Your cloud account and VPC, on-prem servers, or fully air-gapped GPU infrastructure, with no shared tenancy required.
Access control & governance
Department-level RBAC, audit trails, and document-library structures that keep AI answers inside authorized boundaries.
Evaluation & hardening
Testing regimes for accuracy, safety, and drift before and after go-live.
Why choose us
Named productized outcomes: Investment Agent and Safety Agent grew from this practice.
Air-gapped delivery capability
the entire stack on your GPUs, zero external network dependency.
Manufacturing-floor proof: a live GenAI Safety Assistant improving compliance and incident response for a major conglomerate.
Case study
Manufacturing · AI & GenAI
GenAI Safety Assistant for a top Indian conglomerate
Read the full case studyCitiusCloud implemented a Generative AI–powered Safety Assistant for safety teams in the manufacturing division of a leading Indian conglomerate, helping them access timely, relevant safety insights, improve compliance, and strengthen on-ground decision-making.
Credentials
Certifications
Proof
Case study
Manufacturing · AI & GenAI
GenAI Safety Assistant for a top Indian conglomerate
Read the full case studyCitiusCloud implemented a Generative AI–powered Safety Assistant for safety teams in the manufacturing division of a leading Indian conglomerate, helping them access timely, relevant safety insights, improve compliance, and strengthen on-ground decision-making.
Talk to an engineer, not a sales script.
Tell us what you're running and where it hurts. A CitiusCloud architect will come back to you with a considered answer, usually within one business day.