Turn data semantics intoa productivity engine for your vertical
Turn data scattered across systems into conclusions you can question, act on and replay. Two out-of-the-box agents: Slow-Moving Inventory Diagnosis for manufacturing, Business-Finance Alignment for e-commerce.
What is Loambase
Not another dashboard,
but vertical agents that get work done
Loambase Foundry sits between your data platform and your business applications. It first unifies your objects, relationships and actions into one semantic layer — and then agents reason, execute and collaborate on top of that foundation.
Ontology semantic layer
Define objects, links, metrics and actions as one shared semantics, so agents understand the business instead of guessing it.
Agent workflows
Distill business intent into reasoning-and-action chains that are reviewable, executable and replayable — not one-shot answers.
Delivery & governance
Self-hosted deployment, fine-grained permissions and a full audit trail bring agents safely into real production.
Start from one small scenario, in three steps
No need to transform the whole company at once — prove value on one real problem first.
Connect data
Bring in existing databases, data lakes or business systems without moving data boundaries.
Model the ontology
Model key objects, relationships and actions as your own business semantics.
Run agents
Pick one scenario and validate the reasoning, execution and collaboration loop.
FAQ
FAQ
Quick answers about positioning, deployment, data security and the trial process.
Who is Loambase for?+
Teams with complex data relationships, long decision chains, and high demands on explainability and governance — for example inventory-governance teams in manufacturing supply chains, or finance and operations teams in e-commerce.
How is this different from BI or a chatbot?+
BI mainly presents results; chatbots mainly generate answers. Loambase runs agent workflows on top of an ontology semantic layer and outputs analysis and action plans that are reviewable, executable and replayable.
Which deployment options are supported?+
Both a SaaS trial and self-hosted deployment. For private deployments, Loambase can run on your own Kubernetes clusters or infrastructure, integrated with your existing identity system and permission model.
Our data is sensitive — can it stay inside our domain?+
Yes. Loambase supports self-hosted deployment (Kubernetes / bare metal) so data never leaves your domain. It integrates with your existing identity system and permission model, and every operation is fully auditable. During the SaaS trial stage we recommend using non-core data.
How long is the trial, and how do we start?+
The standard trial runs 14 days. Submit one real business scenario, and we will align with you on data scope, the ontology model and acceptance criteria for the first agent.
How is the first scenario accepted?+
Acceptance runs on your real data: before kickoff we agree on data scope, ontology model and acceptance criteria together; during the trial you end up with traceable conclusions and executable actions — not just a demo.