Secure by design
Full SSO/RBAC, detailed audit logs, tenant isolation, and granular policy controls.
Beyond ChatGPT for Software Development: An Enterprise Alternative
LyzrGPT is the enterprise AI platform for your entire SDLC. Securely power coding, reviews, and docs workflows with total governance, security, and integrations.
Security-first SDLC
Repo-aware assistance
Governed AI rollout
Enterprise-Grade AI
for Engineering Teams
Drive faster delivery, reduce code defects, and standardize practices with a secure AI adoption strategy. Lyzr empowers your entire engineering team with governance.
Context-aware
Leverages your private codebase and docs with controlled, permissioned data access.
Engineering governance
Utilize approvals, policy guardrails, version control for prompts, and compliance.
Toolchain ready
Integrates with Git, Jira, CI/CD, and IDEs for seamless workflow automation.
Scalable adoption
Built-in templates, engineering playbooks, and onboarding for large teams.
That's Secure
That's Secure
LyzrGPT integrates into your SDLC from planning to deployment, providing a safer, more powerful alternative than generic consumer chat tools.
Code Copilots
Enforce coding standards, identify potential risks, and suggest fixes.
Test Generation
Automatically create unit and integration tests aligned to your policies.
Docs Automation
Generate and update ADRs, runbooks, and API documentation from your code.
Ship code faster and innovate without ever compromising on your security, governance, or compliance needs.
Achieve Tangible Results
In Your Development
Faster Delivery Cycles
Significantly shorten pull request turnaround times and reduce repetitive tasks.
Higher Code Quality
Enforce consistent patterns, catch regressions early, and improve review signals.
Lower Security Risk
Prevent sensitive data leakage and enforce secure coding guardrails automatically.
Standardized Practices
Deploy shared engineering playbooks across teams with full governance.
Enterprise-Grade
Platform Features
Lyzr offers secure deployment, controlled knowledge access, deep workflow integrations, and total governance for safe, enterprise-wide adoption.
Repo & PR Context
Controlled retrieval from your code, diffs, standards, and internal docs.
Policy Guardrails
Restrict prompts, block secrets, filter outputs, and enforce compliance.
Role-Based Access
Manage access with SSO, RBAC, team workspaces, and permissioned data.
Audit & Observability
Detailed logs, usage analytics, and full tracing for compliance and spend.
Workflow Automation
Use Git/Jira hooks to draft tickets, write tests, and summarize PRs.
AI Tool Comparison for
Software Development
| Feature | Generic AI Tools | Coding Assistants | Lyzr |
|---|---|---|---|
| Codebase retrieval | Public data only | Limited repo access | Permissioned private code |
| SSO/RBAC workspace | No enterprise auth | Basic user management | Full SSO/RBAC controls |
| Audit log | No audit trail | Limited activity logs | Full compliance logging |
| Data privacy | Data used for training | Vendor-managed cloud | Private tenant isolation |
| Git integration | Manual copy-paste | IDE plugin only | Native Git/CI/CD hooks |
| Policy guardrails | None | Basic content filters | Customizable security rules |
| Test generation | Manual prompting | Snippet-based help | Automated, policy-driven |
| Docs generation | Manual creation | Code comments only | Automated from source |
| Secure code scan | No security checks | Basic vulnerability | Integrated secure coding |
| Deployment | Public SaaS | SaaS only | VPC, On-Prem, Private |
The Enterprise Choice
for AI in SDLC
Enterprise Security
Private deployment options with strict data and access boundaries.
For Engineering
SDLC-native workflows, repo-aware outputs, and deep dev tooling fit.
Governance at Scale
Centralized policy management, approvals, and full auditability for all teams.
Adoption
Templates, playbooks, and structured onboarding for fast, large org rollouts.
Trusted by Global
Engineering Teams
Leading enterprise engineering organizations trust Lyzr to power their most critical software development workflows with secure, governed, and compliant AI.
We replaced unmanaged chat tools with LyzrGPT, giving our teams a massive productivity boost. Now we have full governance over AI usage, improved PR velocity, and our code is more secure than ever. It was a strategic win for our entire engineering organization.
CTO · Global SaaS Platform
Zero
Data exfiltration incidents
Implement Governed AI
in Four Steps
Assess & Map
Identify high-impact SDLC tasks and define your automation targets.
Connect Toolchain
Integrate your repos, ticket systems, CI/CD pipelines, and data.
Apply Guardrails
Configure RBAC permissions, security policies, and approved templates.
Scale Across Teams
Measure impact, iterate on playbooks, and expand with total governance.
Frequently Asked Questions About
ChatGPT for Software Development
How is LyzrGPT different from ChatGPT for Software Development?
ChatGPT is a public tool, while LyzrGPT is an enterprise platform. Lyzr provides private deployment, role-based access control, audit logs, and direct integration with your toolchain like Git and Jira. This ensures your code and data remain secure, governed, and compliant with enterprise policies.
Is ChatGPT for Software Development safe for enterprise code?
Using public tools like ChatGPT for proprietary code introduces significant security risks, including data leakage and IP exposure. LyzrGPT is designed for enterprise security, with options for on-prem or private cloud deployment that isolate your data and code completely.
Can ChatGPT for Software Development use our private repos safely?
Public AI tools generally lack the permissioned access required to safely interact with private code repositories. LyzrGPT integrates securely using fine-grained access controls, ensuring the AI only accesses the specific code and documents it is authorized to see, protecting your IP.
What development tasks can LyzrGPT automate?
LyzrGPT can automate tasks across the SDLC. This includes drafting code from specs, generating unit and integration tests, performing automated code reviews based on your standards, summarizing pull requests, and generating technical documentation like ADRs and API guides.
How does LyzrGPT improve code review quality?
LyzrGPT acts as a copilot during code reviews. It automatically checks submissions against your organization's specific coding standards, security policies, and best practices. This provides consistent, objective feedback, freeing up senior engineers to focus on architectural issues.
Does LyzrGPT integrate with GitHub, Jira, and CI/CD?
Yes, LyzrGPT is built for the enterprise toolchain. It offers native integrations with platforms like GitHub, GitLab, Bitbucket, Jira, and CI/CD systems like Jenkins or CircleCI. This allows you to trigger AI-powered automations directly within your existing workflows.
What governance features do engineering leaders need?
CTOs and VPs of Engineering need auditability, access control, and policy enforcement. LyzrGPT provides detailed audit logs of all AI interactions, SSO/RBAC for user management, and customizable guardrails to prevent secret leakage and ensure compliance with regulations.
How do we prevent secret leakage and insecure code?
LyzrGPT includes built-in policy guardrails that can be customized. These guardrails automatically scan both prompts and AI-generated outputs to detect and redact secrets, PII, and other sensitive data. They also enforce secure coding practices, blocking insecure suggestions.
What is the recommended rollout plan for engineering teams?
We recommend a phased approach. Start by identifying a high-value use case with a pilot team. Connect your toolchain, configure security guardrails, and measure the impact. Use these learnings to create standardized playbooks you can scale across the entire organization.
How do we measure ROI from LyzrGPT in development?
ROI can be measured through key engineering metrics. Track improvements in cycle time, pull request turnaround, code defect rates, and test coverage. Additionally, factor in the reduced security risk and the time saved by automating repetitive tasks for developers and reviewers.
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.