SAII Agentic AI Factory Sprint™
Design Your AI Factory in Days, Not Months
AI-Driven Infrastructure Design. Powered by NVIDIA. Optimised by Specialised AI Agents.
The World’s First Agentic AI Factory Design Platform
Traditional AI infrastructure projects take months of workshops, engineering studies, procurement reviews and design iterations.
The SAI Agentic AI Factory Sprint™ transforms this process into an intelligent, AI-driven workflow where specialised infrastructure agents collaborate to design, simulate and optimise your AI Factory before a single server is purchased.
Whether you’re deploying Private AI, Sovereign AI, enterprise AI agents or high-performance inference infrastructure, our platform produces a deployment-ready solution tailored to your organisation’s technical, commercial and operational requirements.
Built on NVIDIA accelerated computing, Digital Twins and AI simulation technologies, every design is validated for performance, resilience, cost and scalability before implementation
Outcomes
From Business Challenge to AI Factory
Every AI Factory begins with understanding your organisation.
Our AI agents first understand what you are trying to achieve.
Not simply:
“What servers do you want?”
Instead they ask:
The Agentic AI Factory Sprint™
-
The Discovery Agent understands your organisation.
It analyses:
Business strategy
Existing infrastructure
AI use cases
Current applications
Data locations
Security classifications
Compliance obligations
Existing vendors
Cloud providers
Existing GPU investments
Outputs
Opportunity Assessment
AI Readiness
Infrastructure Gap Analysis
-
A network of specialised AI agents begins analysing every infrastructure requirement simultaneously.
Unlike traditional consulting, every domain expert operates at the same time.
Agents include:
Power Agent
Thermal Agent
Networking Agent
Security Agent
Compliance Agent
GPU Architecture Agent
Storage Agent
Infrastructure Agent
Risk Agent
Commercial Agent
Operations Agent
Digital Twin Agent
-
The Capacity Planning Agent determines exactly what infrastructure is required.
Questions answered include:
How many GPUs?
Which NVIDIA architecture?
How many racks?
Power consumption?
Battery sizing?
Cooling requirements?
Network bandwidth?
Storage requirements?
Disaster recovery?
Expansion over 10 years?
The result is a future-ready architecture rather than simply solving today’s problem.
-
Selecting the correct GPU architecture is one of the most important decisions.
Our AI analyses:
Inference workloads
Private LLMs
Computer Vision
AI Agents
Speech
Video
Digital Twins
Simulation
Training requirements
Fine tuning
Retrieval-Augmented Generation
Recommended NVIDIA reference architectures are then produced based upon workload requirements.
-
Every AI Factory begins with energy.
Our Energy Agent analyses:
Incoming supply
Peak demand
UPS sizing
Battery runtime
Generator requirements
Renewables
Microgrids
Power redundancy
N+1 design
Future expansion
Carbon footprint
Operational costs
Electricity tariffs
Demand forecasting
Energy simulations are run before deployment.
-
AI Factories generate significant heat.
The Thermal Agent continuously models:
Rack density
Airflow
Liquid cooling
Ambient temperature
Container design
Climate conditions
Humidity
Cooling redundancy
Maintenance requirements
Expected equipment life
Thermal Digital Twins allow thousands of scenarios to be simulated before deployment.
-
Security is designed from Day One.
The Security Agent designs:
Zero Trust
Identity
Access control
Perimeter security
Video analytics
Cyber architecture
Private AI
Air-gapped environments
Government compliance
SOC integration
Incident response
Every recommendation aligns with industry standards and organisational risk requirements.
-
The Networking Agent designs:
LAN
WAN
Internet
Private fibre
Starlink
Microwave
5G
Redundant connectivity
Edge networking
Bandwidth modelling
Latency optimisation
Resilience planning
-
Before construction begins, the complete AI Factory exists virtually.
The Digital Twin simulates:
Power failures
Thermals
Network outages
Hardware failures
Growth scenarios
Maintenance
Energy consumption
Performance
Operational workflows
Thousands of design variations are evaluated automatically.
-
Our Commercial Agent analyses:
Capital expenditure
Operating expenditure
Five-year ownership
Ten-year ownership
Hardware lifecycle
GPU refresh cycles
Maintenance
Energy costs
Insurance
Deployment
Return on investment
Cost optimisation opportunities
-
Our platform brings together dozens of specialist AI agents.
Examples include:
Energy Grid Agent
GPU Selection Agent
Thermal Engineering Agent
Compliance Agent
Security Operations Agent
Networking Agent
Storage Agent
Battery Optimisation Agent
UPS Agent
Supply Chain Agent
Construction Agent
Procurement Agent
Logistics Agent
Cost Agent
Commercial Modelling Agent
Infrastructure Monitoring Agent
Operations Centre Agent
Digital Twin Agent
Capacity Planning Agent
Lifecycle Management Agent
Every recommendation produced by one agent becomes an input for every other agent, allowing the platform to optimise the entire system rather than isolated components.
-
Every Sprint produces a complete deployment package.
Infrastructure Blueprint
Detailed Bill of Materials
NVIDIA Architecture Recommendation
Power Draw
Cooling Requirements
Network Topology
Rack Layouts
Container Design
Security Architecture
Compliance Review
Project Schedule
Installation Plan
Five-Year Financial Model
Ten-Year Financial Model
Operations Playbook
Executive Summary
Risk Register
Deployment Roadmap
-
Our platform is designed for:
Energy
Utilities
Defence
Government
Healthcare
Financial Services
Mining
Manufacturing
Transport
Airports
Ports
Telecommunications
Universities
Research
Smart Cities
Critical Infrastructure
Why Agentic Design?
Traditional infrastructure projects rely on multiple engineering firms working independently.
Our platform replaces months of disconnected workshops with an intelligent collaborative AI design process.
Benefits include:
70–90% faster design
Thousands of simulations
Reduced project risk
Lower capital costs
Improved energy efficiency
Deployment-ready documentation
Integrated commercial modelling
Future expansion planning
Continuous optimisation
Built on NVIDIA Technologies
The SAI Agentic AI Factory Sprint™ leverages NVIDIA accelerated computing and enterprise AI technologies to support infrastructure design, simulation and deployment.
The platform is designed to integrate with NVIDIA enterprise GPU architectures and Digital Twin workflows, enabling organisations to evaluate and optimise AI infrastructure before deployment.
The SAI Difference
We don’t simply recommend servers. We design complete AI Factories. Every recommendation considers:
Every recommendation considers:
Because the best AI Factory isn’t necessarily the biggest.
It’s the one optimised for your organisation.
Ready to see what Intelligent Operations looks like inside your environment?
Whether you’re planning a Private AI deployment, Sovereign AI infrastructure, an AI Operations Centre or a distributed network of SAI Vaults, our Agentic AI Factory Sprint™ provides the fastest path from concept to deployment.
Our AI agents work together to produce a complete, deployment-ready infrastructure design tailored to your business, powered by NVIDIA technology and engineered for long-term performance.