AI-native Build an app from PoC to production in a weekend

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

LoamBase platform preview

Platform Capabilities

From data analytics and integration to workflows and agents, LoamBase provides end-to-end platform capabilities for enterprise AI applications.

Data browsing

Intuitive data browsing with multi-dimensional views (tables, lists) to quickly locate the information you need.

Data editing

Powerful data editing, bulk update and import/export, ensuring accuracy and integrity with simple UX.

Data visualization

Rich chart types (bar, line, pie, etc.) turn complex data into intuitive visuals for analysis and presentation.

Access control

Fine-grained access control (object-level and row/column-level) to ensure data security for different roles.

API integration

Flexible API connectors with loop, HTTP calls, branching and script nodes to build integration pipelines.

AI insights

AI-powered insights and mining, automatically discovering patterns and trends, enabling predictions and recommendations.

Three Core Modules

LoamBase is composed of Looker, Linker and Agent, working together to provide an end-to-end data solution.

Looker

Data exploration and visualization module with powerful browsing, editing, charting and access control.

  • Multi-dimensional data exploration
  • Data editing and management
  • Rich chart types
  • Object- and row/column-level access control

Linker

API connectivity and integration module, with multiple node types to visually build data pipelines across systems.

  • Visual workflow design
  • Rich node types
  • API calls and integration
  • Execution logs and debugging

Agent

Data insight and AI module, providing mining, automatic analysis and process optimization.

  • Smart data insights
  • Predictive analytics
  • Automatic process optimization
  • Anomaly detection

Product Highlights

With powerful capabilities and great usability, LoamBase provides an end-to-end data platform that accelerates digital transformation.

High-performance data processing

Modern data processing architecture for large-scale, low-latency analytics.

End-to-end data security

Multi-layer security including identity, authorization and encryption.

Flexible customization

Flexible configuration to meet the needs of different industries and sizes.

Usability first

Intuitive UI and simplified workflows to reduce learning curve and improve efficiency.

Open ecosystem

Rich APIs and plugin system for seamless integration with third-party systems.

AI-driven

Integrated AI capabilities for intelligent analysis, prediction and suggestions.

Financial Compliance Agent

Invoice risk control from entity modeling and rule engine, all the way to webhooks, Linker workflows and explainable AI insights.

Scenario: invoice risk & expense compliance

Rule-first, AI-assisted — go live in 2–3 months

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.

Entity modeling

Define fin_invoice with all key fields and risk_tags to support rule evaluation and downstream risk analysis.

Configurable rule engine

Use metadata rule definitions to configure high-amount / high-tax rules, dry-run them online and get matched paths for explainability.

Webhook & integration

Subscribe fin_invoice changes with entity webhooks, verify signatures in downstream services, and connect to risk or approval systems.

Workflow & AI insights

Use Linker workflows to orchestrate evaluations, approvals and notifications; leverage LLM to summarize risk reasons for finance teams.

Who is this for?

  • Finance teams that need invoice and expense compliance with clear, auditable rules.
  • Shared service centers processing high volumes of reimbursement and invoice data.
  • Companies that want to start with one scenario and expand to more risk use cases.
Typical MVP timeline: 2–3 months from PoC to chargeable production, based on your existing invoice data and policies.
View technical docs