Your ChatGPT Enterprise alternative - LyzrGPT
With ChatGPT Enterprise, you're paying per seat, locked into one model, and your data lives on someone else's servers. LyzrGPT gives you everything - privately deployed, model-agnostic, and at a fraction of the cost.
Where ChatGPT Enterprise Starts to Fall Short
Adoption is easy. Scaling impact isn’t.
One
-
Usage grows.
Costs follow.
You pay more as teams use more - without predictable ROI.
Two
-
Prompts don’t scale
across teams
Every team builds their own way. No standardization.
Three
-
AI stays assistive,
not operational
Work still depends on people, not systems.
Four
-
Limited control
over how AI runs
You use AI — but don’t control how it behaves across workflows.
What do you get with lyzrGPT?
Not on a roadmap. Not a pilot. These are live, on switch-over.
1,000+ agents. Not prototypes - production.
HR onboarding, KYC processing, sales outreach, support triage - pre-built, vetted, enterprise-grade. Your teams stop waiting for IT to build something and start using AI that actually does the work.
Your data never crosses the fence.
Deploy LyzrGPT inside your own VPC or on-prem. Every prompt, every output, every document stays inside your infrastructure. Full audit trails for every interaction. No negotiation required with your CISO.
Best model for each job.
Every time.
Claude for long documents. Gemini for structured data. Groq for speed. GPT-4o for general tasks. Switch in one interface. No extra subscriptions. No wrangling APIs. Your team gets the right tool, automatically.
Your context comes with you.
Memory Pocket imports your conversation history, context, and workflows from ChatGPT, Claude, or Gemini directly into LyzrGPT. Your team doesn't start from scratch. Productivity continues from hour one.
Audit-ready by design,
not by request.
PII redaction at the model layer. Complete interaction logs. Guardrails that meet regulatory standards in banking, insurance, and healthcare. Not a compliance add-on - the actual foundation.
Here’s why LyzrGPT wins over ChatGPT Enterprise
Model-agnostic architecture
- Switch OpenAI/ Anthropic/ Google/ Groq in one UI
- GPT series only
- Microsoft-managed model mix (not user-selectable, not open)
Responsible AI guardrails
- Full logs + audit for banks
- Data isolation only
- Enterprise governance, compliance, admin controls
Context upload & migration
- Import from any AI
- No portability
- Microsoft 365 data + Graph connectors only
Chat with AI agents
- Multi-agent: Research/ Create/ Analyse
- Custom GPTs/API
- Agents via Copilot Studio
Private deployment (VPC/on-prem)
- VPC / on-prem deploy
- SaaS only
- Azure-only, no true on-prem
Pricing
- Consumption based!
- Seat Based
- Seat-based + usage for agents
Agent Studio Access
- Yes
- No
- Yes (Copilot Studio)
Here’s why LyzrGPT wins over ChatGPT Enterprise
Feature
Model-agnostic architecture
- Switch OpenAI/ Anthropic/ Google/ Groq in one UI
- GPT series only
- Microsoft-managed model mix (not user-selectable, not open)
Responsible AI guardrails
- Full logs + audit for banks
- Data isolation only
- Enterprise governance, compliance, admin controls
Context upload & migration
- Import from any AI
- No portability
- Microsoft 365 data + Graph connectors only
Chat with AI agents
- Multi-agent: Research/ Create/ Analyse
- Custom GPTs/API
- Agents via Copilot Studio
Private deployment (VPC/on-prem)
- VPC / on-prem deploy
- SaaS only
- Azure-only, no true on-prem
Pricing
- Consumption based!
- Seat Based
- Seat-based + usage for agents
Agent Studio Access
- Yes
- No
- Yes (Copilot Studio)
The Cost Reality
$162,000 a year is a lot to leave on the table.
Run the numbers approximately for a 500-person enterprise. The difference is not marginal.
What enterprise leaders told us before
they made the switch.
We're paying for 800 seats. Honestly, maybe 150 people use it regularly. The rest of the spend is just dead weight. We needed billing that reflects reality, not our headcount.
Chief Technology Officer
Global financial services firm, 3,000+ employees
Our regulators don't care what OpenAI's data policy says. They need proof that our data doesn't leave our infrastructure. That's the entire conversation. ChatGPT Enterprise can't answer that
Chief Information Security Officer
Insurance company, regulated market
I have tasks where Claude is objectively better. I have tasks where Gemini is faster. I'm not anti-GPT — I just don't want to be forced to use it for everything. That's not AI strategy. That's a vendor limitation.
VP of Engineering
Enterprise SaaS, Series C
Before you book the demo, here are the honest answers.
Yes. Most teams run LyzrGPT in parallel while their existing contract winds down. We'll map out a migration plan specific to your timeline — so your team gets the benefits now and you make a clean switch at renewal.
Not at all. LyzrGPT is model-agnostic — GPT-4o is fully available. The difference is you're no longer locked to it. You can route specific tasks to Claude, Gemini, or Groq when those models perform better, without leaving the platform or managing separate subscriptions.
Nowhere it shouldn't. With our VPC or on-prem deployment, your data stays entirely within your own infrastructure. We provide full audit logs and a responsible AI framework built to satisfy regulators in banking, insurance, and healthcare. We'll walk through specifics with your security team in the demo.
Cloud deployment can be live in hours. VPC deployment typically takes days, not weeks. Memory Pocket imports your existing ChatGPT context the same day, so your team isn't starting over — they're continuing where they left off, inside LyzrGPT.
Especially for smaller teams. With seat-based pricing, you pay for 200 seats whether 40 people use it actively or all 200 do. With LyzrGPT's usage-based model, a 200-person company that's still building AI adoption typically sees 80–90% savings versus what they'd pay ChatGPT Enterprise.
Schedule a personalized consultation with our AI architects to map out your enterprise automation strategy.
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