Industrial automation • DataMiner/SNMP • engineering software • accountancy data • AI-augmented engineering

Robust plant systems for manufacturing lines that need to keep running.

JMTEQ provides practical engineering support across PLC, HMI, DataMiner/SNMP monitoring, database, reporting, integration, accountancy data consolidation and AI-augmented engineering work. The focus is simple: dependable control, transparent data and maintainable software for real operational environments.

Discuss a project View services Accountant solutions Explore ALITA

Automation: Siemens S7, TIA, WinCC and site support
Monitoring & Data: DataMiner, SNMP, SQL Server and reporting
Software & AI: Production software and AI-augmented engineering

Fault investigation Controlled software changes Monitoring handover Account data consolidation Legacy-system analysis

Engineering support for live plant systems

Traceability and production database systems
PLC/SCADA and DataMiner fault finding and modification support
SNMP, Modbus, Eurotherm, load-cell and instrument integration
Reports, dashboards and operational visibility
Account-data consolidation from spreadsheets, exports and systems
Disaster recovery and supportability documentation

Services

Automation and software work with an engineering-first approach.

JMTEQ bridges the gap between shop-floor control systems and the data/reporting systems needed by engineering, quality and operations teams.

PLC

Controls & automation support

Fault finding, modifications, commissioning assistance and support for industrial control systems, including Siemens S7/TIA environments and HMI/SCADA integration.

SQL

Production software & databases

VB.NET applications, SQL Server data stores, transaction logging, traceability, test-line data capture, reporting and controlled operator workflows.

MES

Interfaces & plant data

Interfaces between control systems, MES, Oracle/SAP-style data sources and local applications, with attention to validation, retries, audit trails and recoverability.

DMA

DataMiner & SNMP monitoring

DataMiner-facing monitoring solutions, SNMP aggregation, OID polling, driver output files, element/view generation, Visio mapping and operational support packs.

Instrumentation & logging

Data acquisition and diagnostics for live values such as load cells, Eurotherm controllers, Modbus devices, analogue tags, setpoints and process measurements.

REP

Reports & dashboards

Operational reports, production histories, test results, supervisor sign-off records, CSV exports, trend charts and data views that make plant behaviour visible.

ACC

Solutions for Accountants

Data manipulation, consolidation and reporting workflows for accountancy practices and finance teams pulling information from spreadsheets, CSV exports, cloud systems, databases and client records.

View accountant data solutions

AI-Augmented Engineering & ALITA

Advanced AI-assisted engineering analysis and development across PLC logic, legacy code, industrial networks, APIs, databases and manufacturing systems, using ALITA to scale investigation while JMTEQ engineering judgement determines the result.

Explore the ALITA capability

DOC

Engineering documentation

Functional design specifications, commissioning packs, support manuals, disaster recovery notes, network inventories and handover documentation for long-term maintainability.

Problem on a live system

Bring the fault, evidence and operational constraint. JMTEQ can help trace the issue across controls, software, data and communications.

Change needed safely

Define the required behaviour, work from a known baseline and keep validation, rollback and handover in view.

System needs understanding

Use engineering review and ALITA-supported analysis to reconstruct how legacy systems, PLCs, databases and applications work together.

Capability

Built around real plant constraints.

Manufacturing software rarely lives in isolation. It has to work with PLCs, HMIs, instruments, databases, legacy applications, operators, maintenance engineers and production pressure. JMTEQ work is structured around those constraints from the start.

Typical deliverables are designed to be supportable after commissioning: clear configuration, visible status, controlled logging, sensible diagnostics and documentation that engineers can actually use.

Control systemsSiemens S7 / TIA / WinCC

MonitoringDataMiner / SNMP / Visio views

ApplicationsVB.NET / Windows services

DataSQL Server / Oracle-style interfaces

Accountancy dataExports / spreadsheets / consolidation / reports

CommsSNMP / Modbus / instruments / plant networks

AI-augmented engineeringPLC / code / data / ALITA analysis

SupportFault finding / recovery / documentation

Working pattern Baseline → evidence → controlled change → documented handover

Solutions for Accountants

Turn scattered account data into controlled, repeatable reports.

Accountancy work often depends on data arriving from many places: bookkeeping platforms, payroll exports, bank files, client spreadsheets, CRM systems, portals, PDFs, CSV files and older databases. JMTEQ can help pull that information together, clean it, reconcile it and present it in formats that are easier to review and reuse.

The same engineering approach used for manufacturing data applies well to accountancy data: understand the source, preserve the baseline, transform carefully, flag exceptions and produce outputs that can be checked.

Typical data sources

Bookkeeping exports Payroll reports Bank CSV files Client spreadsheets Cloud system exports CRM and job data Legacy databases PDF or statement extracts

What JMTEQ can build

Import tools for CSV, Excel, database and system-export files.
Data cleansing, matching, mapping and exception-reporting workflows.
Consolidated management reports, client packs and review schedules.
Repeatable month-end, VAT, payroll or management-account data preparation.
Audit trails showing source files, transformation logic and review outputs.

Collect

Gather exports, spreadsheets, database extracts and source files from multiple client or business systems.

Clean

Normalise formats, remove avoidable manual rework, validate required fields and identify data quality issues.

Consolidate

Map accounts, jobs, clients, periods, nominal codes and transaction records into a controlled reporting structure.

Report

Create spreadsheets, dashboards, summary packs or exception reports that support review and decision making.

Useful where manual spreadsheet work keeps repeating.

JMTEQ can help convert fragile copy-and-paste processes into clearer data workflows with checks, repeatability and documented assumptions.

Discuss an accountancy data problem

AI-Augmented Engineering & ALITA

Engineering intelligence across the entire automation stack.

JMTEQ combines deep industrial automation and software engineering experience with advanced AI-assisted development, code analysis and system reasoning. ALITA, Augmented Logic & Intelligence for Technical Automation, is JMTEQ's proprietary engineering-intelligence approach for applying that capability to real automation and manufacturing systems.

This is not generic AI consulting and not simply asking for code fragments. AI provides scale, analysis capacity and implementation assistance. JMTEQ engineering knowledge determines what is correct, safe and appropriate for the plant, software, data and business process being supported.

PLC Network Software API Database Manufacturing decision

ALITA

Augmented Logic & Intelligence for Technical Automation

It doesn't just analyse files. It analyses systems. ALITA helps JMTEQ correlate engineering evidence across PLCs, industrial networks, application software, APIs, databases, logs, documentation and production context.

PLC

PLC and automation software analysis

AI-assisted investigation can support PLC project review, online/offline comparison, block analysis, MC7 and DB evidence, hardware configuration, networks and automation sequencing.

Code

Industrial software development

VB.NET, C#, Node.js, Windows services, APIs, distributed services, data acquisition tools and legacy manufacturing applications can be inspected, modified and extended against a known source baseline.

Legacy

Legacy-system investigation

Established systems can be reverse-engineered from source code, database structures, configuration, logs, screenshots, process sequences and operational evidence without assuming a full rewrite is required.

Faults

Evidence-led fault investigation

Root-cause analysis can correlate runtime logs, database errors, industrial communications, protocol behaviour, trend data, screenshots and observations from the live process across multiple layers.

Systems

Cross-system reasoning

JMTEQ can reason from machine and PLC behaviour through server-side software, APIs, SQL data, traceability records and business process impact instead of treating each layer separately.

Tools

New engineering tools

AI-assisted development supports specialist engineering tools and applications, from initial requirement and architecture through implementation, validation, release notes and technical documentation.

Working method

More than code generation.

JMTEQ uses AI within an engineering workflow: define the requirement, analyse the system, design the architecture, implement the change, validate the result and complete an engineering review before release.

Requirement

Define the engineering problem, system boundary, constraints and acceptance criteria.

Analyse

Use structured AI analysis methodology to inspect code, PLC evidence, data, logs and documentation.

Engineer

Design architecture and implement controlled software or configuration changes against a known baseline.

Validate

Correlate evidence, test behaviour, challenge assumptions and verify the result against the real system.

Document

Produce evidence-based engineering output, release notes, reports and support documentation.

Advanced analysis method

Engineering problem to documented result.

For larger or unfamiliar systems, JMTEQ uses a structured AI analysis methodology to break the problem down, automate or semi-automate inspection work, correlate evidence and then apply engineering judgement before documenting the outcome.

Engineering problem Structured AI analysis Evidence correlation Engineering judgement Documented result

What this means for customers

Faster investigation of unfamiliar or poorly documented legacy systems.
Deeper code, PLC, configuration, database and communications analysis.
Controlled software development without losing sight of operational risk.
Better correlation of faults across machine, network, software and data layers.
Repeatable analysis methods and clearer evidence-based technical reports.
Ability to analyse larger systems than would normally be practical manually.

Engineering analysis powered by ALITA

AI provides scale. Engineering provides judgement. ALITA combines the two.

ALITA is not presented as a standalone foundation model, autonomous engineer or generic chatbot. It is the JMTEQ engineering-intelligence layer used to organise system context, support analysis and assist implementation while the engineering decision remains with JMTEQ.

Typical work can span PLC and machine behaviour, industrial networks, software services, APIs, databases, reporting, documentation and manufacturing decisions.

Explore ALITA

Have a product idea, difficult legacy system or engineering problem?

JMTEQ can help structure the requirement, understand the existing technology and use AI-augmented development to move the work towards a tested and supportable solution.

Discuss an AI-assisted project

DataMiner expertise

SNMP aggregation, DataMiner integration and operational handover.

JMTEQ supports DataMiner-style monitoring environments where reliable polling, clean data structures and maintainable handover are as important as the front-end views. This includes the application layer that gathers live SNMP data and the DataMiner-facing outputs used by drivers, elements, views and Visio pages.

Monitoring systems and aggregator applications

Experience includes VB.NET Windows service applications that poll SNMP devices from configuration, maintain local data stores, generate output structures for DataMiner drivers and provide a supportable route for redundant monitoring deployments.

Project capability

SNMP aggregator service and support application architecture.
Configuration-driven polling with OIDs, communities, timeout, retry, poll-channel and poll-period control.
DataMiner element, view, Visio, Visio page and site-generation file support.
Driver-facing output files, XML structures, local datastore files and full snapshot outputs.
Passive-server/redundancy behaviour, service recovery, email alerting and rollback planning.

OID

SNMP polling design

Structured polling of SNMP devices using configured IP addresses, OIDs, read communities, SNMP version, retries, timeouts, poll times and controlled sleep between reads.

DRV

DataMiner driver outputs

Generation of stable output files and XML-style structures for DataMiner drivers, including parameter names, units, scaling/multiplication and grouped values.

VIS

Views, elements & Visio

Support for DataMiner element naming, view organisation, site-generation files, Visio references and Visio page mapping so monitored assets remain navigable.

RED

Redundancy & recovery

Passive-server behaviour, local datastore design, auto-restart service recovery, failover considerations, rollback notes and operational recovery documentation.

APP

Windows service applications

Service/application/shared-code structures for long-running monitoring tools, including practical diagnostics, status visibility and maintainable configuration files.

OPS

Operations handover

Engineering support manuals, installation guides, commissioning checklists, rollback/recovery steps and clear notes for support engineers taking ownership.

Typical work

Project types JMTEQ is suited for.

Focused engineering support for systems that sit between controls, monitoring, data and production operations.

Line-side software changes

Modify existing production applications, add new workflows, extend validation logic and keep changes compatible with live plant operation.

Traceability and reporting

Capture process events, operator actions, test results and machine data so engineering and quality teams can prove what happened and when.

Controls/data integration

Connect PLCs, controllers, instruments, SNMP devices, DataMiner outputs and databases with robust read/write logic, retries, validation and diagnostic visibility.

Specialist product development

Take a technical concept through architecture, implementation, target-system testing, controlled packaging, diagnostics and maintainable release.

Supportability reviews

Assess existing systems, document architecture, identify single points of failure and produce recovery/handover packs for maintenance and monitoring teams.

Approach

Clear scope, engineered implementation, usable handover.

Understand the system

Review the process, existing code, PLC/HMI structure, database schema, communications and operational constraints before proposing a change.

Define the change

Agree the required behaviour, data flow, failure handling, operator visibility, logging and acceptance criteria.

Implement carefully

Build the modification with practical diagnostics, backwards compatibility where required, and a clear route for testing and rollback.

Document and support

Provide documentation, commissioning notes and support information so the system can be maintained after the project is complete.

Need practical engineering support?

Send over the problem, the system context and the outcome you need.

Email JMTEQ

Contact

Talk to JMTEQ about automation, software, accountancy data, ALITA or AI-augmented engineering work.

For the fastest response, include the site/system involved, the current issue, product idea, report requirement or required change, any relevant screenshots/logs/source files, and the timescale you are working to.

JMTEQ

Industrial automation, DataMiner/SNMP monitoring, control software, accountancy data consolidation, ALITA, AI-augmented engineering and engineering data systems.

julian.meacham@jmteq.com

Helpful starting details System, client process or reporting workflow involved Current fault, change, report or data objective Screenshots, logs, drawings, exports or spreadsheet samples available

Search summary

Industrial automation, engineering software, accountancy data and AI-augmented engineering.

JMTEQ provides UK-based industrial automation, accountancy data consolidation and engineering software support for manufacturing, test, finance and specialist technical environments. Services include Siemens S7, TIA Portal, WinCC, PLC/HMI support, VB.NET, C# and Node.js engineering software, SQL Server traceability systems, DataMiner/SNMP monitoring, accountant reporting automation, multi-source account data consolidation, ALITA engineering intelligence, AI-assisted PLC and software analysis, legacy-system investigation, root-cause debugging, industrial communications analysis, API and distributed-system architecture, release engineering, reporting, dashboards, commissioning support and engineering handover documentation.

Industrial automation PLC and HMI support Siemens S7 TIA Portal WinCC DataMiner support SNMP monitoring SNMP aggregation VB.NET production software SQL Server traceability Production reporting Solutions for accountants Accountancy data consolidation Multi-source finance reporting Excel reporting automation CSV data processing AI-augmented engineering AI-assisted software development AI product development ALITA engineering intelligence PLC block analysis MC7 and DB analysis Online offline PLC comparison Industrial protocol analysis API architecture Root-cause investigation Cross-system reasoning Legacy code analysis Product prototyping OpenWrt development Embedded network products Release engineering Deployment automation Modbus integration Eurotherm integration Load-cell logging Engineering documentation

FAQ

Common questions about JMTEQ services.

What does JMTEQ do?

JMTEQ provides UK-based industrial automation, control software, production database, DataMiner/SNMP monitoring and engineering support services for manufacturing and test environments.

Does JMTEQ support DataMiner systems?

Yes. JMTEQ supports DataMiner-facing monitoring applications, SNMP aggregation, OID polling, driver output files, element and view structures, Visio mapping, redundancy behaviour and operational handover documentation.

Does JMTEQ work with Siemens PLC systems?

Yes. JMTEQ supports Siemens S7, TIA Portal, WinCC and related plant control systems, including fault finding, modifications, commissioning support and documentation.

Can JMTEQ build production reporting systems?

Yes. JMTEQ builds VB.NET and SQL Server applications for test data, traceability, operator workflows, reporting, dashboards, CSV exports and controlled data logging.

Can JMTEQ help accountants consolidate data from multiple systems?

Yes. JMTEQ can build accountancy data workflows that import, clean, consolidate and report information from spreadsheets, CSV files, bookkeeping exports, payroll reports, databases and other business systems.

Can JMTEQ help with Modbus, Eurotherm and instrumentation data?

Yes. JMTEQ supports plant data acquisition and diagnostics for Modbus devices, Eurotherm controllers, analogue tags, load cells, process measurements, setpoints and live-value logging.

Does JMTEQ provide engineering documentation and handover packs?

Yes. JMTEQ produces support manuals, commissioning checklists, recovery notes, rollback plans, network inventories and engineering handover documents for long-term maintainability.

How does JMTEQ use AI in software development?

JMTEQ uses AI and ALITA to assist with engineering analysis, source-code and PLC investigation, implementation, fault finding, evidence correlation, testing and technical documentation. The work is directed and verified using engineering knowledge, operational evidence and controlled release processes.

Can JMTEQ help develop a specialist technical product?

Yes. JMTEQ can help take a specialist software, industrial or embedded-network product from an initial requirement through architecture, implementation, testing, diagnostics, packaging, deployment and support documentation.