Autolake Logo
For Manufacturing & Supply Chain

A connected data lake for the factory and beyond

Unify SAP, your MES, OPC-UA/MQTT sensor streams, and logistics data into one governed lake — bridging OT and IT — to lift OEE, predict failures before they stop a line, and build a supply chain that sees around corners.

Built forISO 9001IEC 62443 (OT)ITAR-ready
data flow
Sources
ERP / GL
Warehouses
SaaS APIs
Autolakeyour AWS account
Ingest
Autonomous capture
Govern
Policy + masking
Lineage
Every transform
Governed data products
Dashboards
Audit sets
Data products
Connects to your stack
SAPOracle SCMRockwell / Ignition MESOPC-UA / MQTTOSIsoft PIHistorians+ 250 more
01Concerns, solved

What slows manufacturing & supply chain down

Every concern below maps to a specific Autolake capability — not a roadmap promise.

01

OT and IT live in separate worlds

Plant-floor controls, MES, and historians rarely share data with ERP and enterprise systems, hiding the full picture of how the line is actually performing.

How Autolake solves it

Autolake ingests both worlds — SAP and Oracle alongside MES, OPC-UA/MQTT, and PI historians — into one governed model with full lineage, so OEE and cost finally sit on the same data.

OT + IT ingestion + lineage
02

Sensor data at massive scale

High-frequency telemetry from thousands of tags overwhelms pipelines that weren't built to land, govern, and retain it affordably.

How Autolake solves it

Streaming ingestion with auto-scaling Glue pipelines absorbs high-volume sensor data without capacity planning, and Cost Intelligence keeps the storage and compute bill transparent.

Auto-Scaling Pipelines + Cost Intelligence
03

Opaque, brittle supply chains

Supplier, inventory, and logistics data sits in disconnected systems, so disruptions surface days after there was anything you could do about them.

How Autolake solves it

Connectors unify supplier, WMS, and logistics feeds into one traceable view, and anomaly detection flags demand and lead-time breaks early — exposed as REST APIs for planning tools.

Anomaly Detection + REST APIs
02How Autolake helps

Built for manufacturing & supply chain

An autonomous, AWS-native data lake — governed, traceable, and running in your own account.

01

ERP, MES & IoT ingestion

Land SAP, Oracle, MES, OSIsoft PI historians, and high-volume OPC-UA/MQTT sensor streams with governed, scalable pipelines and schema evolution.

OT + IT connectors
02

Streaming at scale

Ingest high-frequency telemetry in near real time on auto-scaling pipelines — no bespoke streaming infrastructure to build or babysit.

Auto-Scaling Pipelines
03

Unified operational view

Join plant-floor, quality, and supply-chain data into one governed model with full lineage — and ask it questions in plain English.

Talk to Your Data
04

Predictive analytics ready

Feed governed, continuously fresh data to predictive-maintenance and quality models to cut unplanned downtime and scrap.

Anomaly Detection
OT + IT
Unified
Plant floor meets enterprise data
Real-time
Sensor streams
High-frequency IoT, auto-scaled
Less
Unplanned downtime
Predictive maintenance on fresh data
03Use cases

Put it to work

Predictive maintenance

Anticipate equipment failures from sensor and historian data to avoid costly unplanned downtime.

Quality & yield analytics

Trace defects to root cause by joining process, quality, and supplier data across OT and IT.

Supply-chain visibility

Unify supplier, inventory, and logistics data for end-to-end, real-time traceability.

Get started

Bring the plant floor and the enterprise onto one governed lake — and turn telemetry into uptime.

See Autolake on your own data — book a 30-minute walkthrough.