Secure AI Grid
A private, secure AI grid built for enterprises — cutting AI operating costs by 80% while keeping sensitive data off third-party clouds.
Enterprise AI
Infrastructure
Services
AI Infrastructure
Category
Enterprise & Security
Client
SAIG
SAIG — Enterprise AI at Scale, with 80% Lower Costs
As enterprises began adopting LLMs like GPT-4 and LLaMA, two issues surfaced fast: escalating costs from per-seat SaaS licensing, and data security concerns from sensitive information passing through third-party APIs. Hash Financial Group and its partners needed a way to unlock AI at scale — without the cost blowout or the compliance risk.
The Challenge
Cost & Control
Escalating Costs: per-seat or per-model SaaS licensing made enterprise-wide AI rollouts prohibitively expensive.
Data Security: sensitive data passing through public cloud APIs created unacceptable compliance risk for regulated enterprises.
The Solution
Phlo designed and built SAIG — a private, secure AI grid that lets enterprises run major LLMs directly on their own infrastructure, engineered around three principles: cost efficiency, enterprise-grade security, and scalability.
Key Features
Cost Efficiency: pay-per-prompt pricing instead of per-seat licenses. Multi-model access (GPT-4, LLaMA, and others) for $15 vs. $25+ per model elsewhere. Infrastructure optimised to cut operating costs by up to 80%.
Enterprise-Grade Security: hosted on the client's private servers. Grid Firewall & Separation System to isolate environments. Dual-tier database architecture for speed, redundancy, and compliance. Cloudflare Security Suite with LLM-specific safeguards.
Scalability & Usability: LLM Integration Hub for seamless model switching. Enterprise web app suite with SSO and on-premise deployment. Ability to fine-tune company-specific models on proprietary data.
Flexible Billing: pay-per-prompt model means costs only scale with actual usage — starting from a $50/month dedicated server baseline.
The Results
80% lower AI operating costs compared to standard SaaS models.
Secure deployment with no data exposure to third-party clouds.
Enterprise adoption simplified — IT teams deploy SAIG like any internal system.
Organisations can now run multiple LLMs side-by-side for different use cases.
