Datafi provides a unified data operating system that enables enterprise organizations to deploy AI securely and at scale across all business functions.
Manufacturing data is fragmented across ERP, MES, quality systems, historians, spreadsheets, and supplier portals. Datafi connects it into a single operating system so every employee, from the plant floor to the boardroom, has superhuman ability to investigate issues, coordinate workflows, and take action.
Manufacturing organizations aren't short on data. AI initiatives stall because production, quality, maintenance, and supply chain data live in separate worlds, and the people who need context can't assemble it fast enough.
ERP & Planning Systems
Production schedules, material requirements, cost data, and demand forecasts locked inside SAP, Oracle, or legacy ERP. Planning teams toggle between systems to reconcile what was planned versus what actually happened on the floor.
MES & Historians
Real-time production data, cycle times, OEE metrics, and process parameters captured at the machine level but siloed from quality, maintenance, and business context. Operators see signals but can't connect them to causes.
Quality Systems
Inspection results, SPC data, non-conformance reports, and CAPA records stored in dedicated quality platforms. Root cause investigations require manually pulling data from multiple systems and correlating across lots and shifts.
Maintenance & CMMS
Work orders, asset histories, vibration data, and failure records trapped in maintenance systems. Predictive insights require combining sensor data with production schedules and quality trends, a manual exercise today.
Spreadsheets & Tribal Knowledge
Critical operational data (shift handoff notes, custom calculations, process adjustments, yield tracking) lives in spreadsheets and notebooks. When an experienced operator retires, the knowledge goes with them.
Supplier Portals & External Data
Supplier scorecards, lead times, quality certifications, and delivery performance scattered across portals, emails, and shared drives. Supply chain risk surfaces only when it's already disrupting production.
The Operating System
An operating system that turns AI from pilot to enterprise capability
A vertically integrated data and AI stack that provides trusted context, safe autonomy, and an interface that manufacturing teams actually adopt.
1unified
Data Experience
Production, quality, maintenance, and supply chain data connected in a single governed interface
100%governed
By Design
Role-based access, audit trails, and policy enforcement across every AI interaction with operational data
From detecting a variance to assembling context, identifying root cause, and recommending corrective action
Use Cases
Autonomous agents for high-impact manufacturing functions
Each workflow delivers a tangible business artifact — a root cause report, a quality investigation brief, a maintenance schedule, a risk assessment, an executive report — governed, auditable, and ready for action.
Production Variance & Root Cause Analysis
From variance detected to root cause identified in minutes, not days
Production variance eats margin and delays shipments. Each investigation requires pulling data from MES, quality, maintenance, and ERP, often across shifts and lines. Datafi replaces manual root cause analysis with an agentic pipeline that detects variances, assembles operational context from every relevant system, identifies contributing factors through pattern analysis, and delivers a complete root cause report: governed, traceable, and ready for corrective action.
Automated variance detection across production lines and shifts
Cross-system data assembly from MES, quality, maintenance, and ERP
Root cause reports generated with corrective action recommendations
Quality & Defect Tracing
Trace any defect to its source across the full production chain
Quality investigations span lot records, line configurations, supplier material data, process parameters, and inspection results, typically scattered across five or more systems. Datafi enables AI agents that converge every data stream into a single traceability analysis, identifying defect clusters, isolating root causes, and defining containment scope, so quality engineers spend time on resolution, not data gathering.
Multi-source traceability across lots, lines, shifts, and suppliers
Defect clustering and pattern identification across production history
Supplier material correlation with quality outcomes
Quality investigation briefs with containment scope and recommended actions
Predictive Maintenance & Asset Health
Know which asset needs attention before it disrupts production
Unplanned downtime costs manufacturers thousands per hour, yet maintenance decisions still rely on fixed schedules or reactive responses. Datafi connects sensor data, work order history, production schedules, and quality trends into a unified asset health view, enabling AI agents that continuously assess risk, predict failures, and generate prioritized maintenance schedules aligned to production windows and cost impact.
Continuous asset health monitoring with risk scoring
Predictive failure analysis combining sensor, maintenance, and quality data
Maintenance scheduling optimized around production windows
Cost avoidance tracking and downtime prevention reporting
Supply Chain Risk & Inventory Intelligence
See supply chain risk before it reaches the production floor
Supply disruptions propagate from tier 2 suppliers through tier 1 and into plant operations, but visibility typically ends at the first tier. Datafi maps the full supply network, monitors risk signals across supplier performance, geopolitical factors, and quality trends, and delivers proactive risk assessments with exposure analysis, alternative sourcing options, and recommended actions, before disruptions impact production schedules.
Multi-tier supply network mapping with risk propagation analysis
Supplier performance monitoring with early warning signals
Inventory optimization aligned to demand and lead time variability
Supply risk assessments with alternative sourcing recommendations
Operational Performance & Executive Reporting
From 14 data sources to executive-ready report in 45 seconds
Operations leaders spend hours assembling performance data from production, quality, maintenance, supply chain, and finance systems into weekly and monthly reports. Datafi enables any authorized user to generate comprehensive operational performance reports on demand, pulling OEE, scrap rates, on-time delivery, labor efficiency, and cost metrics from every relevant system and delivering a structured, governed executive brief with key findings and recommended actions.
On-demand report generation from natural language requests
Cross-system KPI assembly from 14+ operational data sources
Trend analysis with automated anomaly detection and flagging
Executive-ready reports with key findings and action recommendations
Enterprise-Wide Impact
From the production floor to the boardroom
Datafi doesn't replace expertise. It amplifies it. Every role in the manufacturing organization gains the ability to reason across the full operational context, execute multi-step workflows, and produce real business outcomes.
Plant Manager
Monitors production, downtime, throughput, labor, and quality signals in one place, with AI-generated shift reports and exception alerts
Production Planner
Understands inventory constraints, supplier lead times, and customer demand without toggling across systems, and plans with full context
Quality Engineer
Traces defects across lots, lines, and shifts with all relevant context assembled, and investigates root causes in minutes, not days
Maintenance Supervisor
Prioritizes maintenance based on actual asset health, production impact, and cost avoidance, not just calendar schedules
Procurement Lead
Sees supplier risk, performance trends, and inventory exposure in real time, and acts on disruptions before they reach the floor
Finance Leader
Connects operational performance to margin, working capital, and forecast risk, and makes decisions grounded in full business context
The Platform
A complete stack purpose-built for manufacturing
Every layer of the Datafi platform serves a role in turning AI from isolated experiments into enterprise-wide manufacturing capability.
The operational impact manufacturing leaders measure
Manufacturers that deploy Datafi stop treating AI as an experiment and start treating it as infrastructure. The results show up where it matters: faster root cause resolution, fewer unplanned stops, and better decisions at every level.
Faster Than Internal Builds
Internal data teams spend months building dashboards and integrations that serve one use case. Datafi provides a governed operating system where new workflows deploy in days, not quarters, each building on the same trusted data foundation. The compounding effect means the tenth use case is faster than the first.
More Capable Than Point Solutions
Point solutions optimize a single function (maintenance, quality, or planning) but can't reason across domains. Manufacturing problems don't respect system boundaries. A quality issue may originate in supplier materials, surface in process parameters, and manifest in customer complaints. Datafi connects the full context so AI can solve cross-domain problems.
Broader Than Copilot-Style Tools
Copilot tools answer questions about data they can see. Manufacturing decisions require assembling context from MES, ERP, quality, maintenance, and supply chain, then reasoning across it to identify patterns, predict outcomes, and recommend actions. Datafi provides the full operating system: data, governance, workflows, and AI working together.
Build AI into your manufacturing operating model
A practical, scalable path to faster root cause analysis, predictive maintenance, supply chain resilience, and operational excellence, powered by an operating system for business AI.
