By using OpenAI, Gemini, Claude APIs, you are sharing:
100% offline, on-premise, secure systems:
Run AI tools securely inside your company with full control and no data exposure.
Run AI agentic tools inside your company, with no data leaving your network.
Designed for teams: 5-20 users
Includes:
Outcome: Replace individual AI tools with a secure, internal system.
Real-time AI deployed directly on-site for industrial environments.
Best for: Vision AI, safety, and monitoring systems
Includes:
Outcome: Run real-time AI at the edge with full data control.
Enterprise deployments available for larger teams and full organisational rollout.
Multi-GPU systems, air-gapped environments, and advanced compliance support.
Secure, on-premise AI systems.
No IP shared with 3rd party APIs.
No customer data shared.
No token overrun billing risk.
High-performance GPUs.
Scale from 1-3 to 4-10 users without moving to cloud.
Suite of applications.
Ready to be delivered and installed.
| 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 |
| Hardware | Max Model Size | Speed | Hardware Cost (USD) | Best For |
|---|---|---|---|---|
| FirstStep AI Workstation | 🟡 Medium (35B) | 🟢 Fast | 🟢 Low ($15,000) | Business (5-20 users) ✅ |
| NVIDIA Gaming PC | 🔴 Small (10B) | 🟡 Medium | 🟢 Low (~$3,000) | Personal |
| Apple MacBook Pro M4 Max | 🟢 Large (55B) | 🔴 Slow | 🟢 Low (~$5,000) | Personal (developer) |
| H100 AI Server | 🟡 Medium (35B) | 🔵 Very fast | 🟠 High (~$100,000) | Enterprise |
| B200 AI Server | 🔵 Very large (80B) | 🔵 Very fast | 🟠 High (~$150,000) | Enterprise |
| Phone (Galaxy S25 Ultra) | 🔴 Small (4B) | 🔴 Slow | 🔵 Very low (~$1,200) | Personal |
| DGX B200 (8× B200) | 🔵 Very large (670B) | 🔵 Very fast | 🔴 Very high (~$600,000) | Hyperscale |
