Neural Integrations

What Are Neural Integrations?

Neural integrations are AI layers that sit between your existing business systems — reading data from ERPs, CRMs, databases, and APIs, applying intelligence, and writing decisions back to those systems.

Think of it as giving your existing stack a nervous system. Your ERP still handles transactions. Your CRM still stores customer records. But now there's an intelligent layer that reads those records, reasons about them, and surfaces insights or executes actions that previously required human analysis.

The Integration Surface Area

ERP Intelligence Layer

Your ERP contains the most valuable operational data in your business: inventory levels, purchase orders, supplier lead times, fulfillment data, financial transactions. But most of that value is locked in tables, never surfaced to the people or systems that could act on it.

We build intelligence layers on top of your ERP that:

• Generate natural language summaries of operational status
• Detect anomalies in purchasing, inventory, or fulfillment patterns before they become problems
• Automate routine decisions (reorder triggers, vendor selection, allocation logic)
• Expose your operational data through a semantic query interface

CRM Intelligence

Your CRM knows what customers have bought, when, and how they've interacted with your brand. An AI layer can reason across that data at a depth no human analyst can:

• Churn prediction with explanations and intervention recommendations
• Next-best-action recommendations for sales and support teams
• Automated customer segmentation based on behavioral patterns
• Personalized communication triggers based on lifecycle signals

API Intelligence Middleware

Many integrations between business systems are brittle: a fixed schema on one side, a fixed consumer on the other, with no ability to reason about the data in transit. We build intelligent middleware that:

• Transforms and enriches data between systems using LLMs
• Handles schema evolution gracefully
• Flags data quality issues before they corrupt downstream systems
• Routes data to multiple consumers based on content classification

Retrieval-Augmented Generation for Business Knowledge

Every organization has knowledge locked in documents, emails, and tribal memory that's impossible to query systematically. RAG systems change that.

We build RAG systems that:

• Index your operational documents, runbooks, product catalogs, and knowledge bases
• Make that knowledge queryable through natural language
• Ground AI responses in your actual data — not hallucinated generalities
• Update continuously as your knowledge base evolves

The result: AI systems that actually know your business, not just general knowledge about the world.