Okładka: OmniEnergy in practice: from energy meter to ISO 50001 report, with no spreadsheet in between
OmniMESOmniEnergyISO 50001MES System

OmniEnergy in practice: from energy meter to ISO 50001 report, with no spreadsheet in between

A walk through the OmniEnergy module in the order you actually use it: connecting a meter, configuring SEUs and EnPIs, comparing periods, scheduling and exporting the report to PDF. Along the way we explain why the system records who entered every manual value, leaves incomplete snapshots off the charts and refuses to compare periods of different length — because that is what decides whether your data survives an ISO 50001 audit.

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Okładka: Jev in industry: when a decision costs less than a single token
OmniMESAIAgent AIMES System

Jev in industry: when a decision costs less than a single token

TypeSafe has released Jev — a model that writes no text at all and instead returns typed decisions with calibrated probability. The cost of a single judgment drops below the price of a few tokens, and latency from seconds to milliseconds. We look at what this actually changes in an MES: where such a model belongs on the shop floor, where it must never be used, and how to wire it in without breaking your audit trail.

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Okładka: Traceability in MES: building the product genealogy the Digital Product Passport demands — five months to 18 February 2027
OmniMESUEDPPMES System

Traceability in MES: building the product genealogy the Digital Product Passport demands — five months to 18 February 2027

From 18 February 2027 the product passport becomes mandatory for industrial batteries above 2 kWh, EV and LMT batteries. A passport cannot be assembled from a spreadsheet after the fact — it needs product genealogy captured by the MES while the goods are being made. Here is which data has to be linked, which standards now govern it (EN 18219, EN 18220), and what a mid-sized factory can realistically finish in five months.

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Okładka: OmniMES × Relpol partnership — a smart energy metering network for Polish industry
OmnimesOmniEnergyRelpolEMSISO 50001energy efficiency

OmniMES × Relpol partnership — a smart energy metering network for Polish industry

Multiprojekt (the maker of OmniMES) and Relpol S.A. are launching a joint offering: certified Relpol RMM energy meters combined with the OmniMES system and the OmniEnergy module compliant with ISO 50001. One hardware vendor, one software vendor, one invoice, one point of technical support — instead of three separate integration projects.

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Okładka: Digital Product Passport for batteries: 5.5 months to 18 February 2027 — what your MES must cover (lessons from the Battery Pass, Volvo and GBA pilots)
OmniMESUEDPP

Digital Product Passport for batteries: 5.5 months to 18 February 2027 — what your MES must cover (lessons from the Battery Pass, Volvo and GBA pilots)

From 18 February 2027 every LMT battery, every industrial battery above 2 kWh and every EV battery placed on the EU market must have a battery passport (Article 77 of Regulation 2023/1542). Based on the European Commission guidance of August 2026 we explain which data points are mandatory from February, which are not yet filled in (carbon footprint, recycled content, due diligence), what the Battery Pass, Volvo and GBA pilots showed, and what data your MES should prepare.

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Okładka: Black Hat USA 2026 and DEF CON 34: three attack vectors against MES and OT systems — what factories should deploy in 30 days
OmniMEScyberbezpieczenstwoit-otNIS2

Black Hat USA 2026 and DEF CON 34: three attack vectors against MES and OT systems — what factories should deploy in 30 days

Black Hat USA 2026 and DEF CON 34 brought three threads that matter to manufacturers: the inside story of the December 2025 attack on Poland's energy sector and a manufacturing company (lateral movement into OT through a private APN), weaknesses in industrial protocols and engineering software (CC-Link IE TSN, OPC UA, open62541, Siemens S7), and vulnerabilities in local AI runtimes. We cover what was actually presented and propose a 30-day action list.

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Okładka: AI Act 15 days after 2 August 2026: what supervisors can actually check in MES — and why high-risk AI obligations moved to December 2027
AIOmniMESUEAI Act

AI Act 15 days after 2 August 2026: what supervisors can actually check in MES — and why high-risk AI obligations moved to December 2027

The 2 August 2026 date did not start enforcement of high-risk AI obligations. The Digital Omnibus (Regulation (EU) 2026/1744) moved them to 2 December 2027 for Annex III systems and to 2 August 2028 for Annex I. What a factory running an MES must comply with today (the workplace emotion-recognition ban, transparency duties, GDPR and DPIAs for operator monitoring), who supervises the AI Act in Poland, and how to use the time until December 2027.

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Okładka: Robot Foundation Models in the factory: Pi-Zero, OpenVLA, GR00T N1.5 — the end of teach-pendant programming
AIroboticsPhysical AIOmniMES

Robot Foundation Models in the factory: Pi-Zero, OpenVLA, GR00T N1.5 — the end of teach-pendant programming

For 50 years an industrial robot learned a single task through teach-pendant trajectory programming. In 2024–2026 three open foundation models for robotic manipulation arrived — Pi-Zero from Physical Intelligence, OpenVLA from Stanford and GR00T N1.5 from NVIDIA — promising to end that era. The operator shows the robot what to do in VR/AR through 5–10 demonstrations, and a generic model translates that into a real-time trajectory. This article walks through how it actually works today, where it is enough, where it is not, and the real implications for MES integrators across the EU.

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Okładka: Industrial data lake with Apache Iceberg + DuckDB + TimescaleDB: how a modern MES bridges hot, warm and cold storage
time-series dataTimescaleDBApache IcebergOmniMES

Industrial data lake with Apache Iceberg + DuckDB + TimescaleDB: how a modern MES bridges hot, warm and cold storage

TimescaleDB handles time-series from the last 1–90 days (hot) excellently, but at 5+ years of history the cost of PostgreSQL SSD and RAM grows faster than the business value. Apache Iceberg (a table format for the data lake) plus DuckDB (a local SQL engine) deliver a cheaper warm tier (90–730 days) and cold tier (>2 years) on S3 or MinIO. A 3-tier architecture cuts storage cost by 80–95% while keeping data queryable. This article shows how to build it for MES, where the limits are, what it costs, and how to migrate from a monolithic TimescaleDB.

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Okładka: CBAM for steel, aluminium and cement exporters: first definitive-period report by 1 August 2026 — what MES + EMS must measure
UEOmniMESCBAMEMS

CBAM for steel, aluminium and cement exporters: first definitive-period report by 1 August 2026 — what MES + EMS must measure

The CBAM definitive period started on 1 January 2026, and 1 August 2026 is the deadline for the first periodic report under the new regime. European companies in steel, aluminium, cement, fertilisers, hydrogen and electricity — whether importing into the EU or exporting to carbon-aware markets — need to start computing embedded emissions per tonne of product. This article walks through what data MES + EMS must produce, how to map it to PCF (ISO 14067), which tools actually work, what it costs and what the penalties are. Plus a six-week roadmap to the deadline.

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Okładka: TimescaleDB in OmniMES: how PostgreSQL hypertables handle 200M readings per day
time-series dataTimescaleDBPostgreSQLOmniMES

TimescaleDB in OmniMES: how PostgreSQL hypertables handle 200M readings per day

OmniMES uses TimescaleDB — the PostgreSQL extension with hypertables, native compression and continuous aggregates — as its database for industrial sensor time-series. The architecture handles 200 million readings per day, delivers 95% storage compression and 200–800 ms aggregations. This article walks through the hypertables concept, the OmniMES stack architecture, continuous aggregates and concrete production numbers.

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Okładka: Computex 2026: five NVIDIA/AMD/Intel announcements that will change MES in 2027 (GR00T N1.5, Cosmos, Omniverse Replicator)
AInvidiaOmniMESrobotics

Computex 2026: five NVIDIA/AMD/Intel announcements that will change MES in 2027 (GR00T N1.5, Cosmos, Omniverse Replicator)

Jensen Huang's Computex 2026 keynote (2 June) ran three hours and focused on industry — robotics, AI factories, digital twins. AMD and Intel countered the same day. From an MES perspective, five announcements actually change the technology map for 2027: GR00T N1.5 (robot foundation model), Cosmos 2.0 (world model for synthetic training data), the new Omniverse Replicator, AMD Ryzen AI Max+ as a Jetson alternative, and Intel Gaudi 3 for edge inference. This piece walks through each from a real deployment-pipeline perspective, not marketing.

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Okładka: NIS2 and the Polish KSC2 Act in 2026: how MES becomes cyber-compliance evidence for an EU factory
UEOmniMEScyberbezpieczenstwoNIS2

NIS2 and the Polish KSC2 Act in 2026: how MES becomes cyber-compliance evidence for an EU factory

The Polish amendment to the National Cybersecurity Act (KSC2), transposing the EU NIS2 Directive, enters real enforcement in the second half of 2026. Factories producing chemicals, food, machinery, automotive, electronics or medical devices — if they employ more than 50 people — are classified as "important entities" and fall under the full obligations package. This article walks through the ten Article 21 NIS2 requirements from an MES perspective: which functions already produce compliance evidence, what is missing, how every external API (OpenAI, cloud LLM, SaaS MES) grows your audit surface, and what to do concretely in the remaining months of 2026.

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Okładka: Time-series Foundation Models in MES: are TimesFM/Chronos/Moirai already beating your own XGBoost in failure prediction?
AItime-series dataXGBoostOmniMES

Time-series Foundation Models in MES: are TimesFM/Chronos/Moirai already beating your own XGBoost in failure prediction?

Two years after the first pretrained transformers for time series — TimesFM from Google, Chronos-Bolt from Amazon, Moirai-MoE from Salesforce — we finally have real answers to the question of whether a custom XGBoost pipeline for failure prediction in MES can be replaced by a zero-shot foundation model. This article walks through it without hype: what these models were trained on, the quality they deliver on real compressor sensor data, latencies on Jetson Orin and on a GPU server, when zero-shot is enough, and when fine-tuning is unavoidable — and what this means for the classic six-month ML project in a factory.

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Okładka: Digital Product Passport (DPP) enters the factory: ESPR and Battery Regulation 2027 — what MES must deliver by February
UEOmniMESDPPMES System

Digital Product Passport (DPP) enters the factory: ESPR and Battery Regulation 2027 — what MES must deliver by February

On 18 February 2027 the battery passport becomes mandatory for EV batteries, industrial batteries above 2 kWh, and LMT batteries — the first concrete moment when the Digital Product Passport (DPP) turns from EU concept into a hard production requirement. For an MES, this means exposing roughly seventeen attributes per unit: material origin, carbon footprint, recycled content, batch ID, durability, cell health data. This article walks through ESPR (2024/1781) and the Battery Regulation (2023/1542) without fluff: which MES functions already produce the data, what is missing, how to wire it up architecturally with GS1 Digital Link, and what to do in the nine months left before the deadline.

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Okładka: Local RAG in the factory: Phi-4 + sqlite-vec on Jetson Orin — an MES assistant without cloud data leakage
AIAI localOmniMESData Security

Local RAG in the factory: Phi-4 + sqlite-vec on Jetson Orin — an MES assistant without cloud data leakage

After a year of GPT-4 and Claude pilots in manufacturing, the honest question comes back: do we really have to ship process data to the cloud to get an MES assistant? In 2025–2026 the answer is no. Phi-4 (14B, Microsoft, MIT) at 4-bit quantization fits in 8 GB of VRAM, sqlite-vec gives you vector search in a single file with no server, and a Jetson Orin NX/AGX delivers 100–275 TOPS on the shop floor. This article walks through the concrete architecture, token-per-second benchmarks, 3-year TCO vs the OpenAI API, and what this means for AI Act, NIS2 and plant-level IT operations.

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Okładka: EU AI Act, August 2026: which MES functions qualify as "high-risk AI" — and what it means in practice
AIOmniMESUEAI Act

EU AI Act, August 2026: which MES functions qualify as "high-risk AI" — and what it means in practice

On 2 August 2026, the EU AI Act high-risk rules become fully enforceable. A subset of MES functions — predictive maintenance tied to machine safety, operator performance monitoring, AI in medical-grade quality control, and AI-assisted workforce decisions — may be classified as high-risk, with fines up to €15M for breaches. This article maps concrete MES modules to Annex I and Annex III, lists the seven obligations of high-risk operators, and gives a 3-month action checklist for plant owners.

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Okładka: Model Context Protocol (MCP): the new standard for AI integration with MES systems. How to open production data to LLM agents without vendor lock-in
AIAGENT AIOmniMESMCP

Model Context Protocol (MCP): the new standard for AI integration with MES systems. How to open production data to LLM agents without vendor lock-in

Model Context Protocol (MCP), released by Anthropic in November 2024 and adopted in 2025 by OpenAI, Google and Microsoft, has become the de facto standard for connecting LLM agents to external data and tools. For the MES world, it ends the era of "one integration per model" and starts an architecture in which a plant exposes its data once — and Claude, ChatGPT, Gemini, and home-grown agents all plug in. This article explains how MCP works, what to expose from an MES, how to design it safely (lethal trifecta, IT/OT zoning), and when MCP simply does not make sense.

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Okładka: Redash in OmniMES: Dashboards on MongoDB with SQL and REST API
OmniMESData VisualizationredashmongoDb

Redash in OmniMES: Dashboards on MongoDB with SQL and REST API

One of the recurring questions on MES projects is: how do you build analytical dashboards on data that lives in MongoDB, without rewriting the backend to a SQL database? In OmniMES we use Redash for this — for two reasons. First, Redash can consume a REST API as a data source. Second, it has a Query Results mechanism that lets you write full SQL on the result of any earlier query. The outcome is a combination that proves to be a game changer for many MES deployments: full SQL power (JOIN, CTE, window functions) over a NoSQL backend, with zero changes in the production layer. This article walks through the setup step by step — from configuring Redash, through querying the OmniMES REST API, to a SQL query that computes a vibration trend and a ready dashboard.

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Okładka: From Industry 4.0 to 5.0: How Human-Centric AI Is Redefining the Operator on the Production Floor
AIindustry50przemysł50Smart Factory

From Industry 4.0 to 5.0: How Human-Centric AI Is Redefining the Operator on the Production Floor

Industry 4.0 promised a "factory without people." The European Commission, the WEF, and a growing number of manufacturers are answering with Industry 5.0 — where the human stays on the floor but gets new tools: a cobot, an AI assistant, an exoskeleton, augmented reality. The 2026 operator is no longer the person handing over a component — they process information, supervise systems, and participate in decisions. This article shows how 4.0 and 5.0 actually differ, what the market data looks like (BCG, McKinsey, EU Joint Research Centre), who is really deploying human-centric AI (Bosch, Stellantis, Airbus), and where the barriers are — cognitive fatigue, compliance with ISO 45001 and the EU AI Act.

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