Private Data AI
Analyze sensitive customer and transaction data within your VPC without any privacy risk.
Rethinking ChatGPT for your enterprise pricing strategy work
While appealing for quick tasks, public AI tools lack the security and depth for strategic pricing. Lyzr GPT provides a secure, private AI alternative for enterprises.
Inaccurate elasticity models
Lacks enterprise governance
No real-time benchmarks
Secure AI Platform for
Your Pricing Strategy:
Lyzr GPTs are purpose-built AI agents that operate within your private data environment, ensuring secure, accurate, and auditable pricing analysis and modeling at scale.
Elasticity AI
Model demand elasticity and predict revenue outcomes for different pricing scenarios.
Competitive Analysis
Automate competitive intelligence gathering to benchmark your pricing against the market.
Compliance Engine
Ensure all pricing models adhere to internal governance and regulatory rules.
Workflow Agents
Deploy autonomous agents to monitor market shifts and suggest pricing updates.
AI Pricing
AI Pricing
Move from manual spreadsheets to automated, intelligent pricing workflows that directly impact your bottom line and give you a competitive advantage.
Dynamic Bundling
Analyze usage data to create optimized product bundles for market segments.
Margin Optimization
Identify pricing opportunities to increase margins without sacrificing customer volume.
New Market Entry
Model pricing strategies for entering new geographic or vertical markets with confidence.
Lyzr's agentic AI moves beyond simple Q&A to execute complex, multi-step pricing analysis autonomously.
Beyond The Hype, Real
Business Outcomes
Increase Revenue Per User
Optimize pricing tiers and bundles to capture more value from your customer base.
Accelerate Deal Velocity
Empower sales teams with data-backed pricing guidance to close deals faster.
Improve Gross Margins
Use precise elasticity models to adjust pricing for maximum profitability.
Reduce Pricing Errors
Automate analysis to eliminate manual mistakes and ensure pricing consistency.
Enterprise-Grade AI for
Pricing Teams
Our platform provides the security, control, and advanced AI required to manage high-stakes pricing decisions in complex B2B environments.
Private Data Hub
Connect securely to your data warehouses like Snowflake, Redshift, and BigQuery.
Agentic Workflows
Automate multi-step tasks like data collection, analysis, modeling, and reporting.
Model-Agnostic Engine
Switch between GPT-4, Gemini, and others to use the best model for each pricing task.
Governance Guardrails
Enforce access controls, get audit logs, and ensure every pricing recommendation is explainable.
API Integration
Embed AI-driven pricing intelligence directly into your existing CRM or ERP systems.
Architecture Matters for
Pricing Strategy
| Feature | ChatGPT Enterprise | Single-Model AI | Lyzr |
|---|---|---|---|
| Data Privacy Model | SaaS Cloud | Limited VPC options | Private VPC/On-Prem Deploy |
| Model Control | Locked to OpenAI | Single model dependency | Multi-model agnostic |
| Source Grounding | Public data bias | Limited data connections | Grounded in private data |
| Governance | Basic user roles | Rudimentary controls | Granular audit logs |
| Audit Logs | Limited visibility | Basic logging | Full transaction traceability |
| Pricing Workflow Automation | Manual prompting | Single-step tasks | Multi-agent orchestration |
| PII Data Redaction | Application level | Manual setup | Infrastructure level redaction |
| Pricing Model | Per-seat license | Per-seat scaled | Consumption-based |
| Deployment Control | Vendor cloud only | Limited flexibility | Full private deployment |
| Vendor Lock-In | High risk | Moderate risk | Future-proof architecture |
The Strategic Choice for
Pricing AI
Secure Your Data
Our private deployment model keeps your most sensitive pricing data safe.
Avoid Vendor Lock-In
Our model-agnostic platform lets you adapt your AI strategy as technology evolves.
Scale Predictably
Consumption-based pricing means you only pay for what you use, without user limits.
Maintain Control
Full governance features and audit trails give you complete oversight of AI operations.
Powering Strategies at
Leading B2B Firms
Revenue leaders at the world's most innovative SaaS and Fintech companies trust Lyzr to protect their data and drive intelligent, profitable pricing decisions.
We looked at using ChatGPT Enterprise, but the security model wasn't right for our pricing data. Lyzr gave us the power of large language models inside our own VPC. We identified a 7% margin improvement opportunity within the first month, something impossible before.
VP, Revenue · Global SaaS Company
Zero
Data exfiltration incidents
Deploy Your Private Pricing AI
In Four Steps
Secure Deploy
Install Lyzr securely within your private cloud or on-premise environment.
Connect Your Data
Establish secure, read-only connections to your internal data sources and systems.
Define Agents
Configure AI agents for specific tasks like competitive analysis or elasticity modeling.
Launch & Scale
Go live with your first use case and scale across your revenue organization.
Your Questions Answered on
AI-Powered Pricing
Is using ChatGPT safe for our sensitive pricing data?
Using public AI tools like ChatGPT for pricing data carries significant risk. Lyzr solves this by deploying its AI platform within your secure VPC or on-premise, meaning your sensitive customer, transaction, and competitive data never leaves your control, ensuring total privacy and security.
Why not just use ChatGPT Enterprise for pricing strategy?
ChatGPT Enterprise is a SaaS tool locked to OpenAI's cloud and models. Lyzr is an enterprise-grade system that offers multi-model flexibility, private deployment for data control, and agentic workflows for automating complex analysis, which is essential for strategic pricing.
How is Lyzr different from a standard RAG tool?
RAG tools are great for question-answering. Lyzr goes further with multi-agent orchestration. Our platform automates entire workflows, from data gathering and complex modeling to generating reports, enabling proactive, not just reactive, pricing intelligence.
Can Lyzr connect to our data?
Yes. Lyzr provides secure, pre-built connectors for major data warehouses like Snowflake, Redshift, and BigQuery, as well as databases and internal APIs. This ensures our AI agents are grounded in your company’s single source of truth for accurate, relevant insights.
What's the risk of vendor lock-in with AI platforms?
Relying on a single AI provider creates significant risk. Lyzr is model-agnostic, allowing you to switch between models like GPT-4, Gemini, and others. This future-proofs your investment and lets you use the best model for each specific pricing analysis task.
How complex is the implementation process for Lyzr?
Lyzr is designed for enterprise IT. Our team supports yours to ensure a smooth deployment within your private cloud in days, not months. The process involves secure installation, data connection setup, and configuring your first AI agents for immediate value.
Does Lyzr require our team to be AI experts?
Not at all. Lyzr is built for business teams. Your pricing and revenue managers can define workflows using business logic, and our platform handles the complex AI orchestration. We empower your experts to use AI without needing to become data scientists.
How does your consumption-based pricing model work?
Unlike expensive per-seat licenses that penalize adoption, Lyzr uses a consumption-based model. This means you pay only for the AI processing you use, allowing you to scale AI across your entire organization predictably and cost-effectively, ensuring a clear ROI.
Can we migrate from a ChatGPT pilot to Lyzr GPT?
Absolutely. Many of our customers start with public AI pilots. Migrating is straightforward as we help you transition your prompts and logic into secure, automated agentic workflows on the Lyzr platform, moving from experimentation to enterprise-grade production.
How does Lyzr ensure the AI's recommendations are accurate?
Accuracy is paramount in pricing. Lyzr achieves this by grounding all AI analysis in your private, verified data sources. Our system also provides full audit trails, showing the data and logic used for each recommendation, ensuring transparency and trust in the output.
Got a use case in mind?
8 weeks from use case to
8 weeks from use case to
agents running in production.
Platform, people and FDEs, all in. Bring your environment. We’ll co-build and stay until it’s
live.