For companies that run on SaaS

Your SaaS stack is the foundation. FraiOS makes it intelligent.

You've built a modern business on Salesforce, HubSpot, Stripe, and 50 other apps. Your SaaS stack already generates everything AI needs to understand your business — you're just not capturing it. FraiOS does. Automatically.

See the Essential Capabilities

Assess Your Foundation

Evaluating enterprise options? See how we compare

AI-ready infrastructure in days, not months

Works with 50+ SaaS applications

No data engineering required

You Built Modern

You're already running a SaaS-first business.

You moved to the cloud. You adopted best-of-breed tools. You built a modern, subscription-native company. You're exactly the kind of business that should be thriving with AI.

50-200

SaaS applications in your stack

$8,700

Annual SaaS spend per employee

41%

of companies adding new
SaaS tools weekly

of companies adding new SaaS tools weekly

You have everything you need. So why isn't AI working?

The Block

90% of IT leaders say SaaS sprawl is blocking AI adoption.

These are the eight capabilities that define whether you're ready for AI at scale. Most platforms give you pieces. FraiOS delivers all eight on a unified foundation.

Here's the paradox: You built a modern business on modern tools.
But nothing talks to each other.

Sales knows their piece. Support knows theirs. Finance knows theirs. But no system sees the whole picture — and neither can AI.

Your data isn't in a warehouse where AI can access it. It's scattered across 50+ APIs, trapped in SaaS silos that were never designed to work together.

This is why AI projects fail.
Not because the AI isn't good enough.
Because the AI can't see enough.

What You Have

What AI Needs

Unified Business Context

AI that sees everything

Intelligent action across all systems

95%

Of AI pilots fail to reach production

2025

46%

of AI projects abandoned before production

2025

40%

+

of agentic AI projects predicted to fail by 2027

21%

of enterprises have proper governance for autonomous agents

2025

~0%

accuracy for Vector RAG on schema-bound business queries

This is the Context Gap

These are the eight capabilities that define whether you're ready for AI at scale. Most platforms give you pieces. FraiOS delivers all eight on a unified foundation.

Standard AI approaches (Vector RAG) can retrieve text snippets but cannot compute. Ask "What's the total contract value of at-risk customers?" and Vector RAG guesses from text. It achieves ~0% accuracy on these schema-bound queries. GraphRAG — which relies on an ontology — achieves 90%+ accuracy. The difference is architecture, not AI quality.

The Block

90% of IT leaders say SaaS sprawl is blocking AI adoption.

These are the eight capabilities that define whether you're ready for AI at scale. Most platforms give you pieces. FraiOS delivers all eight on a unified foundation.

Here's the paradox: You built a modern business on modern tools. But nothing talks to each other.

Sales knows their piece. Support knows theirs. Finance knows theirs. But no system sees the whole picture — and neither can AI.

Your data isn't in a warehouse where AI can access it. It's scattered across 50+ APIs, trapped in SaaS silos that were never designed to work together.

This is why AI projects fail.
Not because the AI isn't good enough.
Because the AI can't see enough.