MAIA is a neurosymbolic AI platform that unifies a company's applications—finance, procurement, inventory, sales, and more—into a single intelligent system. It reads unstructured inputs like speech, files, and system messages, then executes work directly within company-defined procedures, enforcing rules consistently across all operations. The system holds up to ten terabytes of company material under one governance framework, enabling it to act autonomously rather than merely advise.
Funding
Funding not disclosed
Founders
Product
Problem
Companies run on fragmented applications that each maintain their own records and rules, requiring costly integrations and creating inconsistencies. This siloed architecture prevents unified governance, making it difficult to enforce procedures consistently across finance, procurement, inventory, sales, and other functions. Additionally, existing AI systems typically advise rather than act, leaving a gap between intelligence and execution.
Solution
MAIA is a neurosymbolic AI system that acts as a hive mind for the company, unifying people, models, and software into one intelligence operating within company-set procedures. It ingests work in any form—typed text, speech, files, or system messages—without requiring special handling or a predefined vocabulary. MAIA reads what the company produces and applies what the company has decided simultaneously, executing tasks like buying, scheduling, reconciling, drafting, and replying directly within existing systems. Rules in MAIA are conditions of work, not suggestions: actions inside the grant proceed, while those outside are withheld and escalated to a named person. The system holds an institution-sized context of ten terabytes of company material under one set of rules, allowing it to act instead of advise and stop instead of guess.
Target Audience
Primary customers are mid-to-large enterprises with complex, multi-application operations across finance, manufacturing, procurement, and governance that need consistent rule enforcement and autonomous execution of routine workflows.
Features
- Neurosymbolic architecture combining reading comprehension with rule-based decision execution in a single system
- Institution-sized context window of ten terabytes of company material held simultaneously under unified governance
- Multi-format input processing for typed text, speech, files, and inter-system messages without special-case handling
- Direct action execution across finance, procurement, inventory, sales, controlling, manufacturing, people, governance, and books
- Rule enforcement as hard conditions—actions outside the grant are automatically withheld and escalated to a designated person
- No integration required between applications, as all systems function as surfaces of one unified intelligence