LTBase

The AI backend your compliance team will actually approve.

95% of enterprise AI pilots never reach production. The bottleneck isn't the model — it's the missing governance layer. LTBase sits between your AI and your business systems: enforcing risk policies, isolating credentials, logging every action.

From AI pilot to governed production system

LTBase is a Backend-as-a-Service built specifically for enterprise AI. It sits between the AI model and real business systems, turning raw LLM output into governed, auditable execution. Teams ship production-grade AI workflows without rebuilding the same safety and compliance infrastructure from scratch every time.

01
Risk-tiered execution governance

Every AI action is automatically classified by risk level. Low-risk actions execute automatically; high-risk actions pause for human approval, with a full audit trail preserved.

02
Knowledge memory with citation

AI retrieves answers from verified enterprise sources — not model weights — targeting ≥95% citation fidelity and <5% hallucination rates in governed retrieval workflows.

03
AI-native system of record

Business data, relationships, executable actions, and reusable capabilities live in a single governed runtime — eliminating the brittle handoffs between metadata catalogs, workflow engines, and application databases that break most AI deployments.

04
Enterprise tool orchestration

Pre-built connectors for M365, Salesforce, SAP, ServiceNow, and other core systems. Custom integrations via a declarative schema.

05
Cost governance

Intelligent model routing, caching, and budget controls reduce LLM spend by 30–40% before costs sprawl across departments.

AI should deliver measurable value

A 10 engineers team using LTBase eliminates the backend engineering that blocks most AI deployments from going live — while cutting LLM spend 30–40% through model routing and caching.

> $5M
Annual productivity gain
< 30 days
Payback period
30-40%
LLM cost reduction

The more you use it, the stronger it becomes.

Every deployment generates governance data — risk classifications, approval patterns, compliance maps. This accumulates as a proprietary operational context that continuously improves policy defaults and deepens system integration. A compounding moat that cloud tooling and open-source frameworks cannot replicate.

  • check_circle Risk classifications refine with every deployment
  • check_circle Approval and escalation patterns adapt automatically
  • check_circle Reusable business capabilities compound across teams
“Production AI isn’t about the model’s intelligence — it’s about the safety of the environment where that intelligence is applied.”

— LTBASE Engineering

From zero to governed AI execution in under 4 hours.

Book a Demo

Deployment ready in as little as 48 hours. Enterprise-grade SLA included.

Trusted by real businesses

Partners across North America, Australia, and Asia-Pacific.