Larry AI Knowledge Platform
On-premises AI deployment, cloud, or hybrid. Larry runs where your data needs to live, with the isolation, guardrails, and control your organization requires.
Why AI Deployments Stall
Most AI initiatives stall not because the technology does not work, but because IT and security teams cannot get comfortable with how it deploys, where data lives, and what controls exist around behavior and access.
Sending sensitive organizational data to third-party AI tools is a non-starter for many environments. Uncontrolled model behavior creates compliance risk, and AI solutions that only run in one vendor’s cloud create dependency that IT leaders rightly resist.
Larry is designed to pass the deployment and governance conversation, not dodge it.
On-Premises AI Deployment and Beyond
On-Premises
For organizations where sensitive data cannot leave the environment, Larry runs entirely on your own infrastructure. No data leaves your network. Full control over hardware, storage, and access.
Cloud Hosted
For organizations that want managed infrastructure without the on-premises overhead, Larry deploys in cloud environments with the same isolation, guardrails, and governance controls.
Hybrid
For organizations with mixed requirements, Larry supports hybrid configurations where some workloads stay on-premises and others run in the cloud, with consistent governance across both.
*LegacyX can also host your instance securely in our Tier 3+ data center on high-availability servers, giving you the convenience of managed hosting with the trust of a known partner.
Governance Built In, Not Bolted On
Multi-Tenant Isolation
Support multiple teams, departments, business units, or clients from a single platform with proper data and access isolation between tenants. Each tenant operates independently without cross-contamination of knowledge, models, or behavior.
Configurable Guardrails
Define what topics, behaviors, and outputs are acceptable for your organization. Guardrails are integrated directly into the response pipeline, not applied as an afterthought. You control what Larry can and cannot do.
Automat Quality Assurance
Larry evaluates new model outputs against prior baselines and runs regression checks for tuned models. AI quality is measured and monitored, not left to chance. You know when performance changes, and you know why.
Tenant-Specific Model Selection
Each tenant can select their own base models, whether local or cloud-based, to match compliance needs, performance requirements, and vendor preferences. You are never locked into a single AI provider.
Built on Modern Infrastructure Practices
Larry uses Kubernetes-based containerized orchestration for deployment, scaling, and lifecycle management. This means it fits into modern infrastructure practices your team already understands, scales with demand, and supports the operational discipline required to run production AI reliably.
For organizations that need it, LegacyX also brings hands-on experience with production infrastructure, including high-availability hypervisor environments and CEPH-based storage.
AI That Meets Your Security and Compliance Requirements
Larry is built to deploy in environments where control, isolation, and data residency are not optional.
TESTIMONIALS
Our clients consider us a partner who helps them imagine and realize a better, more efficient version of their business today and for the future.
LegacyX has provided a solution to whatever problems we have brought to them. They answer the phone if you have issues and fix them real time. You won’t be disappointed.
Anthony Noseworthy, Assistant Business Manager, IUOE Local 955
Our company has been using LegacyX for a while now. They have always been there when we needed them. Most recently we had a virtual conference. Darrin and his team stepped up for us and made sure it ran without a hitch. Can’t thank them enough.
Krisanne, Building Trades of Alberta Training Society (BTATS)