Governance & Controls
Manage roles, enforce policies, and maintain complete audit logs for full oversight.
Why ChatGPT for Engineering Teams Breaks Systems
Consumer AI tools like ChatGPT introduce security risks. Lyzr provides a secure, enterprise-grade AI platform for engineering teams to deploy in your own VPC or on-prem.
Secure and Compliant AI
Accelerate dev workflows
Deploy in Your VPC
Secure Enterprise AI
for Engineering Teams
Lyzr moves beyond public tools, providing governed AI for your entire SDLC, grounded on internal code and docs with full access controls and audit trails for complete security.
Secure Deployment
Deploy in your private cloud or on-premise for total data and code isolation.
Engineering Workflows
Integrate with pull requests, support tickets, and incident response workflows.
Knowledge Grounding
Use RAG on your internal repositories, wikis, and team-specific runbooks.
Team Collaboration
Ensure consistent, accurate outputs and shared context across all your teams.
Workflows
Workflows
Implement repeatable, secure AI patterns across your software development lifecycle, grounded on your team's trusted internal knowledge base and private code.
Code & PR Reviews
Improve code quality and accelerate reviews with AI-assisted analysis.
Internal Q&A
Get instant, accurate answers from your private documentation and code.
Incident Support
Accelerate incident triage and resolution with automated runbook guidance.
Engineers demand speed. Leaders require security and control. Lyzr delivers both without compromise.
Benefits of Lyzr vs.
ChatGPT for Engineering Teams
Accelerated Delivery Velocity
Reduce cycle times across the SDLC without compromising security controls.
Improved Code Quality
Enforce best practices with standardized reviews and significantly fewer regressions.
Enhanced Security Posture
Protect intellectual property with granular access control and compliance.
Operational Reliability
Achieve faster incident response times with better runbook adherence.
Enterprise AI Platform
Capabilities
Our platform provides configurable agents, private data grounding, deep integrations, and robust governance for any enterprise environment.
Agentic Workflows
Automate complex, multi-step SDLC tasks with fully configurable AI agents.
Private RAG Grounding
Ground AI responses on your private code repositories, docs, and runbooks.
Granular Access Controls
Integrate with your identity provider for RBAC, SSO, and user policies.
Complete Audit & Logging
Ensure full traceability and system monitoring with comprehensive audit logs.
Flexible Deployment
Deploy on-premise, in your private cloud, or use our secure hybrid model.
Choosing Your
Enterprise AI
| Feature | Generic AI Tools | Developer AI | Lyzr |
|---|---|---|---|
| Data Privacy & IP | Public Model | Limited data control | In-VPC data isolation |
| VPC / On-Prem Deployment | Not available | SaaS deployment only | Full VPC or On-Prem |
| RBAC / SSO Control | Basic user management | Team-based | Enterprise RBAC and SSO |
| Audit Logs | No access to logs | Limited log access | Complete audit trail |
| Internal RAG | Uses public data | Manual RAG setup | Automated and secure RAG |
| Engineering Integrations | Manual API calls | Few integrations | Native SDLC integrations |
| Multi-Step Agent Workflows | Single step only | Basic agents | Multi-agent orchestration |
| Model Flexibility | Single model | Vendor locked | Model-agnostic choice |
| Team Governance | No admin controls | Basic rule policies | Centralized admin console |
| Compliance | Not certified | Self-assessed | SOC 2 / ISO Ready |
Built for Enterprise
Engineering
Enterprise Security
Reduce data risk with robust controls and a compliance-ready architecture.
Built for Teams
Enable collaboration with shared context and consistent, reliable outputs.
Governed AI
Maintain full oversight with clear policies, audits, and admin visibility.
Deploy Anywhere
Align with your infrastructure strategy via VPC, on-prem, or hybrid model.
Trusted by Top
Engineering Teams
Leading technology and software engineering teams trust Lyzr to deploy powerful, secure, and governed AI solutions that accelerate their development lifecycle without compromising on security or control.
We replaced scattered ChatGPT use with Lyzr's governed platform. Our PR reviews are 30% faster, incident response is quicker, and our security team has full visibility. It's a win for both engineering and compliance, giving us the control we needed to scale AI responsibly.
VP, Engineering · B2B SaaS Platform
Zero
Data exfiltration incidents
Secure Enterprise Rollout
in Days
Secure Access
Configure SSO, RBAC, and access policies in your secure environment.
Connect Knowledge
Securely index private code repos, docs, and runbooks with permissions.
Deploy Agents
Activate pre-built agents for code reviews, Q&A, and incident triage.
Measure and Scale
Monitor performance, track quality metrics, and expand to new teams.
Evaluating Enterprise AI
for Engineering
How is Lyzr an enterprise alternative to ChatGPT for Engineering Teams?
Lyzr is architected for enterprise needs. Unlike consumer tools, it offers private deployment (VPC/on-prem), granular access controls, full audit logs, and is grounded on your internal data. It's a secure, governable system, not just a public-facing chat interface.
What about data security when using ChatGPT for Engineering Teams?
Using public AI tools for proprietary code poses significant IP risks. Lyzr isolates your data within your own environment, ensuring code and sensitive information are never exposed to public models or third parties, maintaining full security and privacy.
Can we deploy your alternative to ChatGPT for Engineering Teams on-prem?
Yes. Lyzr supports flexible deployment models, including on-premise, virtual private cloud (VPC), and secure hybrid options. This allows you to integrate our AI capabilities directly into your existing secure infrastructure, meeting strict governance rules.
How does RAG for our knowledge base work?
Our Retrieval-Augmented Generation (RAG) system connects to your private codebases and wikis. It provides accurate, context-aware answers grounded in your data, respecting user permissions to prevent hallucinations and ensure relevance for developers.
Do you support SSO and role-based access for our dev teams?
Absolutely. Lyzr integrates with your existing identity provider for Single Sign-On (SSO) and provides robust Role-Based Access Control (RBAC). You can define granular permissions to ensure teams only access relevant data and tools for their roles.
Are audit logs available for traceability and compliance?
Yes, our platform generates comprehensive audit logs for all activities. This provides full traceability on queries, agent actions, and system changes, which is essential for security reviews, compliance audits, and maintaining governance over AI usage.
Does Lyzr integrate with tools like GitHub, GitLab, and Jira?
Lyzr offers native integrations for key engineering workflows. Our agents connect with GitHub, GitLab, and Jira to automate tasks like PR reviews and ticket summarization directly within the tools your developers already use every single day.
Are we locked into using a single Large Language Model (LLM)?
No. Lyzr is model-agnostic, giving you the flexibility to choose the best LLM for your specific needs. This approach prevents vendor lock-in and allows you to optimize for the cost, performance, and compliance requirements that your enterprise has.
How can we ensure the quality and safety of AI-generated code?
Lyzr provides tools for evaluating outputs, establishing feedback loops, and setting safety guardrails. By grounding responses on your internal best practices and code, we significantly improve the accuracy and relevance of generated content, promoting safe adoption.
What does a typical pilot and rollout process look like for teams?
We typically start with a focused pilot on a high-impact use case, like PR reviews, to demonstrate value quickly. From there, we provide a clear roadmap and support to help you scale the solution across other engineering teams and workflows.
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.