PREKIT: The Composable Edge Node

At Alpamayo, we understand data quality to be a direct result of a robust industrial Edge. PREKIT Edge Nodes connect to your machines, collect data, clean and contextualize it at the source, and publish it to a Unified Namespace. This eliminates fragile, vendor-dependent integrations, ensures data is usable, and creates a foundation for both shopfloor operations and connected products.

PREKIT Unified Namespace Architecture
Use Cases

Proof from factory floors

PREKIT Edge Nodes are tools to create a unified source of truth of actionable data from the shopfloor - data that makes a difference, when placed into the hands of frontline workers, maintainers, production planners, and R&D engineers.

Process Optimization

Stabilize throughput across every production line

Integrate digital twins with live telemetry to forecast constraints, optimize takt alignment, and drive continuous throughput improvements, while maintaining quality standards.

OEE Estimation

Measure your real OEE

Unfify MES, PLC, and Historian data to reveal availability, performance, and quality insights at every cell. Switch fragmented spreadsheets for comparability between your shopfloor's KPIs based on a single source of truth.

Work Orders

Close work orders with zero swivel chair

Sync parameters and execution data bidirectionally between ERP and production lines to cut manual entry, boost accuracy, and give planners real-time visibility into fulfillment.

AI on the Shopfloor

Operational copilots for every engineer

Understand data faster with AI copilots that sit on top of your industrial data, and answer questions with an understanding of its meaning.

Variants

Built to scale from single-node deployments to global fleets

Each industrial environment comes with its own requirements. To meet your needs, PREKIT can be delivered plug-and-play on an industrial gateway, as containerized software, or as source code for your team to take ownership of.

In-a-Box
In-a-Box

As close to plug-and-play as we can get. Delivery on pre-configured industrial-grade Edge Device. Install it in a machine's electrical cabinet. Connect it to a PLC, a power supply, and your network. And you're ready to go.

Bring your own device
Bring your own device

We'll support you in deploying PREKIT containers and tailored modules distributed across your own cloud infrastructure, on-premise virtual machines, and Edge Gateways, in the way that best suits your operation.

Example: 1 perpetual license + 1 connector configuration
Source code
Source code

Fork our code. Profit from our new features and bug fixes, while your teams can focus on your unique domain expertise, when building your IoT solution. For OEMs: PREKIT can be deployed as an entirely whitelabeled solution.

PREKIT Live
Alpamayo Chocolate Factory Demo

See a PREKIT-connected factory through your role

Explore a live chocolate factory running on PREKIT. 78 machines, real production orders from bean to bar, and AI you can talk to. No login needed.

Production Manager

Where are my orders right now? Track orders through all seven areas. Spot bottlenecks and see which delivery promises are slipping — before your customer asks.

Alpamayo Chocolate Factory Demo

Technical Specifications

PREKIT is a software platform for building advanced Edge-driven industrial data platforms capable of consolidating high quality data from a vast number of industrial assets distributed across one or multiple sites.

Connectivity

Standard Protocols

OPC/UA, MQTT, S7, Sinumerik, Modbus, Profinet, EtherCAT, SQL, REST-API

Other Protocols

If we don't support your protocol, you are entitled to a custom data adapter free of additional charge.

Network Connections

LTE, Ethernet, WiFi, LTE+WiFi

Platform Functions

Data Contextualization

Configurable data model and semantics

Analytics

Data cleaning, virtual sensor calculation, data segmentation at the source. ML runtime for deployment of custom models to the Edge.

Edge Historian

Built-in Historian database

Data Visualization & Dashboards

Integrated Grafana

Custom Applications

Custom Docker containers or extension of UI and via plugins

database Databases

Configuration

PostgreSQL, MySQL, OracleDB, MariaDB, Microsoft SQL Server, IBM Db2, Firebird, CockroachDB, SQLite, Amazon Aurora, Amazon RDS

Historian Databases

Built-in Edge Historian, integrations with TimescaleDB / TigerData, InfluxDB

Integration

Data Integration

MQTT (Sparkplug B), OPC/UA, REST-API, MCP

API Client Libraries

all OpenAPI clients, e.g. Python, C#, Go, TS, JS, C++, Zapier, Rust, ...

Software Development Kits (SDK)

Python

Security

Encryption

Local Certificate Authority, TLS encryption, DB backup encryption (in transit & at rest), TPM-encrypted infrastructure

Authentication & User Management

Azure Active Directory / Entra ID, AWS IAM, OAuth 2.0, SSO, fine-grained Resource Based Access Control (RBAC)

Data Security

Outbound Ports only, Air-Gapped Operation, Remote PLC Access, Database Auditing, DB Multi-Region and Geo-redundant Backups

Hardware

Devices1

Welotec EG500 Mk-2

Certification

CE, UL

system_update_alt System Requirements

Operating System (Minimum Requirements) 2

Windows 10 Pro 64 Bit, Windows Server 2019 64 Bit, Ubuntu 14.04 LTS, Debian 8, CentOS 7, RHEL 7, macOS Sierra 10.2, any Docker-compatible operating system

Storage 2

min. 8 GB RAM, min. 64 GB SSD

settings Other

Time Synchronization

NTP Client & Server

add_circle Additional Services

Global Data Flatrate

Access to Edge Nodes via global LTE network

VPN Gateway

Remote access to Edge Nodes via our secure VPN

1 Applies to In-a-Box variant.

2 Applies to Virtual Platform variant.

Frequently Asked Questions

Find quick answers to common questions.