Private AI for your organisation

Deploy secure, on-premise AI for chat, research, coding, and AI agents without sending company data to cloud AI providers.

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Private on-premise AI Workstation appliance

Why on-premise AI?

For organisations already using AI, the question is no longer whether AI is useful. The question is how to use it securely.

Requirement FirstStep On-Premise Cloud Providers (OpenAI, Gemini, Claude)
Protect company IP IP remains inside your infrastructure Sensitive prompts leave your network
Keep customer data private Customer data stays on-premise Data is sent to external services
Reduce unmanaged AI usage Single approved enterprise AI platform Teams can fragment into ad-hoc tools
Replace scattered AI subscriptions Consolidated platform and subscription Multiple overlapping subscriptions
Maintain governance and control Central policy, access control, and audit logs Limited governance across external providers
Create predictable AI costs Platform subscription with planned spend Usage-based billing can spike unexpectedly
Avoid external AI APIs for sensitive work No external AI API dependency for critical workloads Relies on third-party AI APIs

Built for Compliance

Compliance

Stop sensitive data from leaving the organisation. Give teams a secure AI platform they are allowed to use.

IT

Deploy a managed AI platform without building and maintaining the full AI stack internally.

Finance

Replace uncontrolled AI subscriptions with one predictable platform and subscription.

Why organizations choose FirstStep

Capability FirstStep AI Systems ChatGPT / Gemini Private AWS Cloud In-house Build
Cloud API No Yes Yes No
Models Available Open Source Vendor Controlled Limited Open Source
Latest LLM models Auto-updated Auto-updated Manual Manual
Performance Enterprise Enterprise Enterprise Hardware Dependent
Time to deploy 1-2 weeks 1-2 hours 8-16 weeks 12-18 months
Team Governance Fully Auditable No Fully Auditable Limited
IP exposure to 3rd parties No Risk High Risk High Risk No Risk
Customer Data shared No Risk High Risk High Risk No Risk
Air-gapped deployment Yes No No Yes
Token limits No token caps Yes Yes No token caps
Cost overrun risk No Risk High Risk High Risk No Risk
Integration to your servers Yes No No Yes
Integration to GIT repos Yes No No Yes

One Managed Software Platform

Desktop Application
Windows macOS Linux

One desktop application (Windows, MacOS or Linux)

LLM Inference Engine Layer
vLLM Ollama Docker

High-performance serving of your models.

Linux Kernels and GPU Drivers
NVIDIA Linux Ubuntu

Our hardware is optimized for fast LLM inference with large LLM models.

API Gateway

Access your secure AI Workstation remotely.

Software Subscription

You receive the latest LLM models as updates.

Easy Onboarding

Configure Codex / VS Code to use on-prem LLMs.

Deployment options

Available as software-only, or as a complete AI Workstation solution.

Business AI Workstation

Business

Recommended

Best for: Teams currently using OpenAI, Gemini, Claude in their business processes.

Platform: 2 x RTX 5090 GPUs

Hardware cost: $15,000 once-off

Software cost: $10,000 pa

5-20 users

Enterprise AI Workstation

Enterprise

Best for: Large organisations with multiple departments and offices.

Platform: Multiple AI Workstations

Hardware cost: $15,000 once-off per workstation

Software cost: $10,000 pa per workstation

20+ users

Software Only deployment

Software Only

Best for: Organisations with existing AI workstation hardware.

Platform: Your hardware

Hardware cost: Your own hardware

Software cost: $10,000 pa

Hardware dependent

FirstStep delivers a practical, affordable AI Workstations for businesses. Blackwell server racks available on request.

Hardware Comparison

Hardware Max Model Size Speed Hardware Cost (USD) Best For
FirstStep AI Workstation 🟡 Medium (35B) đŸŸĸ Fast đŸŸĸ Low ($15,000) Business (5-20 users) ✅
NVIDIA Gaming PC 🔴 Small (10B) 🟡 Medium đŸŸĸ Low (~$3,000) Personal
Apple MacBook Pro M4 Max đŸŸĸ Large (55B) 🔴 Slow đŸŸĸ Low (~$5,000) Personal (developer)
H100 AI Server 🟡 Medium (35B) đŸ”ĩ Very fast 🟠 High (~$100,000) Enterprise
B200 AI Server đŸ”ĩ Very large (80B) đŸ”ĩ Very fast 🟠 High (~$150,000) Enterprise
Phone (Galaxy S25 Ultra) 🔴 Small (4B) 🔴 Slow đŸ”ĩ Very low (~$1,200) Personal
DGX B200 (8× B200) đŸ”ĩ Very large (670B) đŸ”ĩ Very fast 🔴 Very high (~$600,000) Hyperscale

AI Platform Subscription

Stay current with the rapidly evolving AI landscape without managing models, updates, and compatibility yourself.

Model updates and access

One-click access to newly supported AI models, with curated recommendations built for enterprise use.

Automatic platform maintenance

Automatic platform updates plus security fixes and compatibility testing to keep your deployment stable.

AI Intelligence News Alerts

Bi-weekly AI intelligence briefings help teams stay current without constant market monitoring.

Priority support

Priority support ensures fast response when teams need deployment, model, or workflow guidance.

Useful for every department

Give every department a secure AI tool they are allowed to use.

Sales

Research prospects, analyse competitors, prepare proposals, write outreach messages, and respond to tenders.

Development

Use coding assistants for debugging, code review, documentation, architecture support, and test generation.

HR

Draft job descriptions, prepare interview questions, create onboarding material, and summarise policies.

Finance

Analyse spreadsheets, summarise reports, explain numbers, draft budget narratives, and review financial documents.

Projects

Summarise meetings, generate action lists, draft project plans, manage risks, and create status reports.

Marketing

Generate campaigns, research competitors, write content, create SEO briefs, and draft social posts.

Legal and Compliance

Review policies, compare documents, summarise contracts, and prepare compliance drafts.

Executive

Prepare market research, strategy notes, board papers, decision support, and business analysis.

Technology Partners

Implementation Partners