80–90% of enterprise AI projects fail to deliver value. The bottleneck is not the model — it's data. LIMO provides the unified semantic layer your AI needs: consistent, connected, and AI-ready across every domain.
Data is defined once.
Logic is written once.
Access is configured — not coded.
Enterprise systems — ERP, MES, CRM, WMS — each maintain their own schemas, naming conventions, and access protocols. The same product, customer, or order is represented differently in every domain. AI systems that require a unified, semantically consistent view of your data cannot function reliably against this fragmentation. LIMO resolves it.
Enterprise AI doesn't fail because models aren't capable enough. It fails because the data feeding those models is fragmented, inconsistent, and semantically incompatible across systems. LIMO addresses the root cause — not the symptom.
Do the systems actually support the business process? UI gaps, missing workflows, and logic that lives in spreadsheets — functional gaps create shadow systems and workarounds that compound over time.
Functional riskCan systems talk to each other? Traditionally solved with heavy customization middleware in SAP projects, or bespoke ESB builds — all costly, fragile, and painful to maintain as the business evolves.
Most critical · most under-resourcedThe same product, order, or customer is represented differently in every domain system — different keys, different attributes, different naming conventions. This semantic fragmentation is invisible to humans but fatal to AI. RAG-based systems retrieve the wrong context or fail entirely when data lacks semantic consistency.
Most critical · most under-resourcedTraditional approaches — heavy customization for SAP, bespoke ESB middleware builds — are expensive, high-risk, and hard to maintain. They couple integration logic to individual system versions and leave teams with towering technical debt on every upgrade cycle. LIMO replaces all of that with a single composable integration layer.
LIMO is a dedicated data infrastructure layer — positioned between your operational systems and your AI applications — that provides unified semantic abstraction, real-time state synchronization, and AI-optimized data pipelines. It decomposes integration into reusable building blocks called PBCs (Packaged Business Capabilities), each with predefined business functions, programming interfaces, event channels, and internal data. Build once. Assemble into any application. Feed any AI.
LIMO connects via API with Scope, Data Source connectors, API/Data Pipeline, Rule Engine, and a Services layer — neutral to applications, compatible with any commercial package or custom build.
LIMO maintains a live semantic graph of all enterprise data objects — shared across every application and AI model in the platform. Define once. Query anywhere. No duplication, no divergence.
LIMO decomposes every business requirement into its minimal atomic components. Those components can then be assembled — and reassembled — into any application the business needs. Nothing is built twice. Every new project draws on a growing library of proven, tested capabilities.
Each chip above is a PBC — a packaged business capability with its own data, logic, events, and interfaces. Any combination of PBCs can be composed into a functioning enterprise application.
Traditional SAP implementations accumulate years of customizations — each one a liability on the next upgrade. LIMO handles the complex, unique business logic in its own layer, passing only clean transactional data back to the ERP. The core stays standard. The business stays agile.
Four foundational capabilities that work together — so engineering teams ship faster and architects don't have to rebuild the same primitives twice.
Define business entities, relationships, logic, and mutations as first-class platform concepts — mirroring your real domain without rigid schemas or migration debt.
Isolate data and configuration per tenant through global system configuration (gsc) while sharing platform infrastructure. Tenant onboarding is a configuration operation, not a deployment.
Pull from external systems, push back clean data, and map field-level transformations — all configured per integration with explicit conflict resolution. Data flows into LIMO's unified data model, not a separate ETL silo.
RAG-based AI fails when retrieval returns semantically inconsistent data. LIMO eliminates that failure mode — every object has complete field definitions, explicit semantic links, and a full audit trail, making enterprise data reliably consumable by LLMs. Claude and other models reason over your real business graph and trigger actions within RBAC boundaries.
LIMO ships with the controls enterprise IT and security teams require from day one. No additional middleware, no custom auth wiring.
Platform Manager is the visual back-office for LIMO — where architects and platform engineers define Object Types, Link Types, Interfaces, Functions, Actions, and integration mappings. Every change propagates live across all connected applications.
Define new enterprise entities from the UI — name, key field, attributes, and storage — without writing code. New types are immediately available for linking and querying across all apps.
Model relationships between Object Types with named Link Types. Apply shared property sets via Interfaces — define once, reuse across any Object Type in the platform.
Functions are pure logic — validation, calculation, transformation. Actions are side-effectful operations that mutate platform state. Both are registered, versioned, and reused platform-wide.
Visualize the complete semantic graph of all Objects, Links, and Interfaces. Export to OWL for interoperability with external ontology tools and AI knowledge graphs.
LIMO Agent is an AI chat platform built on LIMO's semantic layer — so every answer is grounded in your actual enterprise data, not hallucinated from general knowledge. Multi-model, MCP-connected, and SSO-secured out of the box.
Every answer is retrieved from LIMO's live semantic graph — not hallucinated. The agent queries Object Types, Link Types, and Functions in real time, with RBAC enforced at query time.
Connect any MCP server — ERP, CRM, calendar, or custom tools. The agent detects action intent vs query intent and routes to the correct tool endpoint automatically.
Define named skills with custom instructions and assign them to specific MCP servers. Skills can be shared across teams or scoped to individuals — built and edited through the Skill Editor UI.
Users attach documents, spreadsheets, and images. Voice input streams directly to the model. File content is extracted — Word, Excel, PDFs — and injected into context automatically.
The AIVA suite — from AI-driven BPM to intelligent document workflows — runs entirely on LIMO's integration infrastructure. Every AIVA app inherits multi-tenancy, RBAC, SSO, and the agentic AI layer automatically.
Explore AIVA →