Infrastructure

Your Intelligence. Your Control.

You can export your data from any AI vendor. You cannot export your intelligence. Unless you own the infrastructure it runs on.

Most AI platforms create lock-in not through contracts, but through context inertia—the accumulated intelligence embedded in proprietary systems that can't be exported.

We built CogniSwitch differently.

01 / The Problem

The Orchestration Trap

“Bring your own LLM” feels like independence. It's not. The foundation model is replaceable. The vendor's orchestration layer is not.

Semantic Relationships

How your data connects—trapped in proprietary embeddings that don't map to anything else.

Retrieval Logic

What gets surfaced when—built into their system, invisible to you, impossible to export.

Policy Hierarchy

Which rules override which—the governance logic that makes your AI actually work.

This is your intelligence. It lives in their system. When you leave, it stays.

02 / The Reality

What Migration Actually Looks Like

The switching costs in AI aren't financial. They're intellectual.

Task
SaaS 2021
AI 2025
Raw Data Export
Easy
Easy
Schema Remapping
Moderate
Hard
Logic & Workflows
Hard
Impossible
Learned Context
N/A
Total Loss

Source: Intelligence Migration is NOT Possible

03 / The Architecture

Built Different. Literally.

CogniSwitch stores your intelligence in open standards. The compliance layer runs deterministically. You can leave whenever you want—and take everything with you.

Knowledge Storage
Typical

Proprietary embeddings

CogniSwitch

RDF/Triples (W3C standard)

Runtime Compliance
Typical

LLM-as-judge (probabilistic)

CogniSwitch

Deterministic rules (no LLM calls)

Portability
Typical

Vendor-locked

CogniSwitch

Export to any graph database

Deployment
Typical

Vendor cloud only

CogniSwitch

Your VPC or our cloud

RDF/Triples: The Portability Standard

Your intelligence is stored as RDF triples—the W3C standard for knowledge representation. Export it. Move it to Neo4j, Amazon Neptune, Stardog—any graph database. It's yours.

Not proprietary embeddings. Not opaque vectors. Open standards.

04 / LLM Usage

“Bring Your Own LLM” — Actually Meaningful

LLMs are powerful for extraction. They're unsuitable for compliance. We use them only where they belong.

Phase
LLM?
What Happens
Implication
Extraction
Yes (your choice)
Structures unstructured data into knowledge graph
Your choice of LLM
Enforcement
No — deterministic
Compiled rules, deterministic validation
No external calls
Audit
No — deterministic
Validation against extracted logic
No external calls

The compliance layer—Rails—makes zero external LLM calls. No data leaving your boundary. No probabilistic checks. Same input, same output. Always.

05 / Deployment

Intelligence Residency

“Residency” isn't just where your data lives. It's where your intelligence lives—and whether you control it.

Preferred for Healthcare

Customer VPC

CogniSwitch deployed in your cloud environment. Your infrastructure. Your security boundary. Your compliance posture.

  • Intelligence never leaves your boundary
  • Your IAM, your audit logs
  • Full residency control

CogniSwitch Cloud

Fully managed, multi-tenant deployment for teams who prefer operational simplicity.

  • All cloud regions supported
  • SOC2 Type II certified
  • HIPAA compliant
06 / The Question

The Litmus Test

Ask every AI vendor one question:

“Can I export not just my data, but my intelligence layer—all the learned relationships, orchestration logic, and reasoning patterns?”

If the answer is no, you're building equity in someone else's platform.

CogniSwitch answer: Yes — as RDF triples, to any graph database.
And yes, the infrastructure is enterprise-grade.
SOC2 Type II
Verified
HIPAA
Compliant
BAA
Available
AES-256
Encryption

Security details: security@cogniswitch.ai · Full compliance page

Want to see what intelligence ownership looks like?

We'll show you the architecture. No slides. No pitch. Just how it works.

See also: Evals vs Audit — the compliance layer explained