Facts
MaestroHub, the short version.
One fact per line, each with the date it was true and where to read more. Last updated 19 October 2026.
What MaestroHub is
- MaestroHub is the industrial context platform, in Gartner's Industrial Data Management category. It connects machines and business systems, gives every value one meaning in a governed namespace, and lets people and AI agents use that context inside permissions and an audit trail.
- Oct 2026More
- It runs on your own infrastructure: an edge box, a virtual machine or your Kubernetes cluster. It is not a hosted cloud service.
- Oct 2026More
- It is not a SCADA, an MES or a long-term historian. It reads from and writes to those systems.
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- MaestroHub is an independent company and is not related to UiPath Maestro or other products with a similar name.
- Oct 2026
- Context Engine has two editions, Foundation and Enterprise, plus a free trial.
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Products and their status
- Context Engine is live in release 3.0. It connects machines and systems, gives each value its schema, quality and origin, runs pipelines and buffers data when a link drops.
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- Release 3.0 ships in October 2026. It adds the lineage map, the approval gate for pipelines, delivery order per output and more.
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- The MCP server lets your own AI client, such as Claude, use MaestroHub. It is live in release 3.0.
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- Knowledge Graph, App Studio and the Maestro agent are coming soon. They are in development and testing and are not part of release 3.0.
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Connectivity
- More than 90 connectors reach over 120 kinds of machines and systems, among them OPC UA, Siemens S7, Modbus, MQTT, EtherNet/IP, SAP, Ignition and the PI System.
- 2 Oct 2026More
- 22 of the connectors can also write back, under permissions and audit.
- 4 Aug 2026
- Every connector is included in every edition. There is no per-connector or per-tag charge.
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Deployment
- Tier 1: one machine, single binary, 8 vCPU (4 physical cores with two threads each), 16 GB RAM, 200 GB SSD. One site. Context Engine runs with its embedded MQTT broker and embedded time-series database.
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- What one Tier 1 machine takes in with nothing lost is measured and published, dated, for 4, 8 and 22 vCPU. The published Tier 1 specification is the 8 vCPU measurement.
- 14 Oct 2026More
- Tier 2: one machine running K3s, 16 vCPU, 24 GB RAM, 500 GB SSD. Manages many sites from one instance.
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- Tier 3: three identical Kubernetes nodes, 16 vCPU, 24 GB RAM and 500 GB SSD each, with application-tier high availability.
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- Runs on Windows, macOS and Linux, as Docker images, on K3s and on any conformant Kubernetes, for amd64 and arm64.
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- History is kept as an operational window that you set, the same in every edition: one day by default, and from release 3.0 each topic keeps 1, 7, 14 or 32 days. Long-term history goes to your own system of record.
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Pricing and trial
- Context Engine is priced per instance, not per tag.
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- Foundation costs $16,000 per year per instance. Enterprise is quoted for the sites and nodes you run.
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- The free trial needs no licence key. It runs on an evaluation licence with every feature, Enterprise ones included, in two-hour sessions you can restart.
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- Evaluation on your own plant starts with a six-week pilot: one VM, no production writes.
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Security and trust
- MaestroHub's information security management is certified to ISO/IEC 27001.
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- Access is role-based, with single sign-on over OIDC, SAML and LDAP.
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- Every change lands in a hash-chained, tamper-evident audit trail with a verification call.
- Oct 2026
- MaestroHub publishes one dated benchmark: Tier 1 on Google Cloud C3 machines with 4, 8 and 22 vCPU, measured on 19 October 2026 with MaestroHub 3.0. A value counts only when it is authorized, schema-checked, stored and published live, and values are read back at the end. On every machine size the limit was the processor; above it devices are slowed and nothing acknowledged is dropped. The rates for each machine are on the benchmark page.
- 19 Oct 2026More
Customers and results
- Customers include Ford Otosan, BSH, Akkim, Eczacıbaşı and Togg.
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- BSH: 15% operational efficiency, 10% more output, return on investment in under six months.
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- Ford Otosan: 95% accuracy predicting CNC tool anomalies, $22,000 saved per CNC machine a year, implemented in under a month.
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- Akkim: 15% better steam use, 8 tonnes of steam saved a day, return on investment in under a week.
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Company
- Offices in İstanbul, Türkiye and Düsseldorf, Germany.
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- Founders: Yasir Tunçer (CEO), Barış Velioğlu (CTO) and Aras Yiğit Çakmak (Chief Delivery Officer).
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- Investors: İstanbul Portföy (lead), INC Innovation Center, Fark Labs and Cevher Group.
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- Thirteen releases shipped between February and August 2026.
- Aug 2026
- Audience Award at the WMF 2026 startup competition in Bologna.
- Jun 2026More
Something here out of date?
Write to info@maestrohub.com and we will correct it. Every fact on this page carries the date it was true.