AI Lab

AI will be the operating system  for the next industrial era

The modern industrial enterprise is too complex for static dashboards and too critical for ungoverned AI. Our Fabrion AI Lab is building the native AI-stack that lets teams see, decide, and act.

‍We believe that manufacturing lines, supply chains, product structures, and compliance regimes are complex knowledge graphs. Agents that think in graphs and work with people inside guardrails will master them.

We are not a thin-wrapper that relies mostly on foundation models. We are a full-stack vertical AI research platform for industrial verticals. We work from data connectors and industry-specific ontologies, up to graph-based data fabrics, memory, agent meshes, and fine-tuned models. The result is speed, resilience, and compliance.

What we research

DATA FABRIC FOR AI

Metadata-driven fabrics that cleanse, correlate, and unify structured, unstructured, and streaming data without wholesale duplication, serving just-in-time context to agents and models.

SEMANTIC ONTOLOGIES

Map entities, operations, and flows into ontology maps that mirror our complex real world.

CUSTOM FINE-TUNED MODELS

Use the best model for the job through evolution of RAG, SLMs, RLHIL, pre-trained models on enterprise data and lower token costs versus proprietary APIs. Enable domain-specific reasoning focused on combining pre-trained model foundations with internal fine-tuning for maximum control, performance, and cost efficiency.

INDUSTRY KNOWLEDGE GRAPHS

Link internal data to external signals by creating dynamic graphs that overlay industry ontology and data (trading partners, standards, economic signals, geopolitical signals, supply chain flows, and disruptions) with each company’s internal context.

HYBRID & MULTI-CLOUD INFRASTRUCTURE

Bare-metal acceleration for ETL and training; federated fabric deployments supporting data residency across hyperscalers and edge for resilience and data sovereignty, latency constraints, and cross-enterprise collaboration.

Agent Mesh Architectures

Build distributed, goal-conditioned agents that plan, simulate, negotiate, and execute, with explainability and continuous alignment.

GOVERNANCE BY DESIGN

Balance performance with policy engines embedded at every layer — ensuring AI actions are fast, observable, reversible, and always in compliance.

CONTEXT MEMORY MANAGEMENT

Enable agents to maintain both short-term focus and long-term continuity across decisions, tasks, and simulations through hierarchical context windows, retrieval-augmented episodic memory, and vector-based long-term recall, and advanced research into dynamic context compression, memory consolidation, associative recall, and temporal graph memory.

The road ahead

Our research roadmap is anchored in delivering autonomous and semi-autonomous AI and data products that are centered around industrial value chain stacks, and are continuously aligned through feedback, reinforcement, and governance loops.

our goals

Enterprises use AI to act on scenarios, not reports.

Compliance and governance are first-class citizens in the AI stack.

Supply chains that self-heal and rebalance with AI supervision.

Every AI action is explainable, reversible, and measurable.

Call to collaborators

We are pushing the boundaries of AI and agent systems for the industrial economy. If you are a researcher, engineer, or industrial partner who shares this vision, we want to work with you.

GET IN TOUCH

As AI Agents move from research to production, at Fabrion AI Lab, we are designing the products and infrastructure rooted in research that makes them reliable, governed, and enterprise-ready.

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