LoamBase is an enterprise AI application platform that integrates Looker, Linker and Agent to enable data insights, process re-engineering and intelligent decision-making.


Start from the overview, then quickly navigate by platform modules and business products.
Core concepts, architecture and entry points to four modules.
Conversational flows for modeling, order entry, retrieval, analysis and audit.
Data and metadata APIs: query, mutation, entities, views and metrics.
Workflow orchestration: node capabilities, schemas, execution and approvals.
Java / Node.js / Python / Web integration guides.
Invoice risk and expense compliance solution built on LoamBase.
Complete API reference with online playground.
From data analytics and integration to workflows and agents, LoamBase provides end-to-end platform capabilities for enterprise AI applications.
Intuitive data browsing with multi-dimensional views (tables, lists) to quickly locate the information you need.
Powerful data editing, bulk update and import/export, ensuring accuracy and integrity with simple UX.
Rich chart types (bar, line, pie, etc.) turn complex data into intuitive visuals for analysis and presentation.
Fine-grained access control (object-level and row/column-level) to ensure data security for different roles.
Flexible API connectors with loop, HTTP calls, branching and script nodes to build integration pipelines.
AI-powered insights and mining, automatically discovering patterns and trends, enabling predictions and recommendations.
LoamBase is composed of Looker, Linker and Agent, working together to provide an end-to-end data solution.
Data exploration and visualization module with powerful browsing, editing, charting and access control.
API connectivity and integration module, with multiple node types to visually build data pipelines across systems.
Data insight and AI module, providing mining, automatic analysis and process optimization.
With powerful capabilities and great usability, LoamBase provides an end-to-end data platform that accelerates digital transformation.
Modern data processing architecture for large-scale, low-latency analytics.
Multi-layer security including identity, authorization and encryption.
Flexible configuration to meet the needs of different industries and sizes.
Intuitive UI and simplified workflows to reduce learning curve and improve efficiency.
Rich APIs and plugin system for seamless integration with third-party systems.
Integrated AI capabilities for intelligent analysis, prediction and suggestions.
Invoice risk control from entity modeling and rule engine, all the way to webhooks, Linker workflows and explainable AI insights.
Use LoamBase metadata, rule engine and data services to define the fin_invoice entity, configure high-amount / high-tax rules, and push high-risk invoices to downstream risk or approval systems via secure webhooks.
Optionally orchestrate the whole flow in Linker workflows, and let LLM generate human-readable explanations while rule evaluation remains the single source of truth.
Define fin_invoice with all key fields and risk_tags to support rule evaluation and downstream risk analysis.
Use metadata rule definitions to configure high-amount / high-tax rules, dry-run them online and get matched paths for explainability.
Subscribe fin_invoice changes with entity webhooks, verify signatures in downstream services, and connect to risk or approval systems.
Use Linker workflows to orchestrate evaluations, approvals and notifications; leverage LLM to summarize risk reasons for finance teams.