AI that runs on your own floor, designed and deployed by Indosplash

Goals are not clear

Projects begin without measurable outcomes, then stall at the pilot stage and never reach production.

Data and security

Data sits scattered across files, databases, applications, and edge devices. Nothing unifies it, and compliance questions remain open.

Infrastructure holds back

Existing equipment was never designed for GPU workloads. Training and inference compete with day-to-day systems for resources.

Tooling is incomplete

Without standard deployment tooling, every use case is built from scratch and time disappears into repeated work.

Skills gap

People who can actually deploy AI are scarce. Promising projects stop because nobody can carry them forward.

Cost escalates at scale

Cost and resource consumption climb sharply as workloads grow, often well past the original estimate.

Knowledge assistant

Turns company data into trusted answers that can be traced back to their source.

• Time to resolution drops because users get one conversational entry point to all knowledge instead of navigating many systems
• Experts are freed from repeat questions and can work on higher-value problems
• Responses are grounded in existing content and data, respect current permissions, and carry citations so users can verify

Code assistant

Raises developer productivity and keeps software development in-house.

• Repetitive work is automated: boilerplate, documentation, refactoring, test scaffolding, and code reviews
• Agents generate and validate code against organisational standards, test coverage targets, and licence requirements
• Fully on-premises deployment minimises IP leakage, which matters most in regulated industries

Computer vision

Turns video, image, and sensor data into decisions on the floor.

• Applied in manufacturing, retail, healthcare, transportation, and public safety
• Dell works with ISVs and technology partners such as NVIDIA, so the software can be matched to the requirement
• On-premises processing keeps compliance intact, manages bandwidth efficiently, and simplifies monitoring

Agentic AI platform

One on-premises foundation to design, run, and scale a digital workforce.

• A single on-premises platform built on the Dell AI Factory with NVIDIA and delivered through Dell Automation Platform blueprints
• End-to-end agent operations with deep observability plus enterprise-grade security and compliance
• Expands into a portfolio of agents through Validated AI Solutions and ISV integrations

Data for AI

The Dell AI Data Platform unifies data access, enriches pipelines, and keeps governance in place.

• Universal access to enterprise data: ingested, prepared, and curated from any source
• High-performance storage optimised for every stage of the AI lifecycle, from ingestion and training to inference
• End-to-end protection with multi-tier encryption, immutable snapshots, and air-gapped protection

Sovereign AI

AI built and run on infrastructure, data, and models you control.

• Data control is retained by running data and models on-premises, in cloud, at the edge, or across hybrid environments
• Security, compliance, and auditability are embedded from the start, keeping pace with changing requirements
• Data residency and governance are aligned to the security and regulatory rules that apply to you

Reasoning era

Single-turn, human in the loop

• User asks, model answers
• One prompt, one completion
• Latency budget: seconds
• Limited tools, memory, and planning

Around 1,000 to 2,000 tokens per interaction

Agentic workload

Multi-step, model in the loop

• Plan, act, observe, repeat
• Calls tools, reads files, runs code
• Latency budget: minutes
• Long context, retries, and sub-agents

Around 10,000 to over 500,000 tokens per workflow