DATA_AI — Intelligence Engine
The AI backbone of the IRIS platform. Machine learning models, RAG knowledge bases, and a proprietary LLM — purpose-built for manufacturing.
Most manufacturing AI is bolted on as an afterthought — a dashboard widget here, a predictive alert there. DATA_AI is different. It's the foundational intelligence layer that every IRIS module draws from, creating a single source of truth for data, models, and AI-driven decisions.
From raw sensor streams to production-grade ML models, DATA_AI manages the entire data lifecycle. It ingests data from any source — databases, APIs, IoT sensors, files — transforms it through configurable pipelines, and stores it in versioned datasets ready for training. Models are tracked through experiments, registered in a central registry, and served via low-latency APIs.
What makes DATA_AI unique is the closed loop: AI doesn't just analyze — it recommends, and those recommendations become tasks that humans approve and execute. New execution data flows back into the models, making them smarter with every cycle.
CAPABILITIES
Full-Stack AI for Manufacturing
Eight core capabilities that cover the entire data-to-decision pipeline — from ingestion to inference.
ML Model Lifecycle
End-to-end management from experiment to production. Train, evaluate, version, deploy, and monitor models — all within the IRIS ecosystem. A/B testing and automatic rollback included.
RAG Knowledge Bases
Ingest operational documents, SOPs, and maintenance logs into vector-indexed knowledge bases. Retrieval-Augmented Generation delivers answers grounded in your actual data, not generic training sets.
LLMind — Proprietary LLM
IRIS's own large language model, fine-tuned on manufacturing operations. LLMind understands production context, speaks your domain language, and runs on-premise for full data sovereignty.
AI Recommendation Engine
Cross-module analysis generates actionable recommendations — from maintenance scheduling to quality adjustments. Every suggestion includes confidence scores and human approval gates.
Vector Embeddings & Semantic Search
Transform unstructured data into high-dimensional vectors. Semantic search finds relevant information by meaning, not keywords — making tribal knowledge accessible to everyone.
ML Studio & Experiments
A built-in experimentation platform for data scientists. Track hyperparameters, compare runs, visualize metrics, and promote winning models to the registry with one click.
Feature Store & Pipelines
Centralized feature engineering with versioned, reusable features served online and offline. ETL/ELT pipelines handle data transformation, scheduling, and error recovery automatically.
Synthetic Data Training
Don't wait years for historical data. Generate synthetic training datasets from Digital Twin simulations, enabling predictive models from day one of deployment.
USE CASES
AI That Delivers Measurable ROI
DATA_AI powers concrete use cases that reduce downtime, prevent defects, and optimize planning — with results you can measure in weeks, not years.
Predictive Maintenance
ML models analyze sensor telemetry, vibration patterns, and maintenance history to predict equipment failures days before they happen — reducing unplanned downtime by up to 40%.
Quality Prediction
Catch defects before they reach the end of the line. Models trained on process parameters and inspection data flag at-risk batches in real time.
Demand Forecasting
Combine historical sales, seasonality, and external signals to forecast demand with ML precision — feeding directly into APS for optimized production planning.
INTEGRATIONS
Intelligence Across Every Module
DATA_AI isn't isolated — it's the shared brain that every IRIS module taps into for predictions, recommendations, and insights.
MES
Production telemetry feeds ML models and real-time dashboards.
QMS
Quality data trains prediction models and triggers anomaly alerts.
CMMS
Maintenance history powers predictive maintenance algorithms.
WMS
Warehouse flow data enables demand and inventory forecasting.
KPI
AI recommendations surface directly in KPI dashboards.
APS
Demand forecasts feed advanced planning and scheduling.
HSE
Safety data trains risk prediction and incident prevention models.
Unlock the intelligence in your data
See how DATA_AI turns raw operational data into predictions, recommendations, and autonomous decisions.