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UK Trademark — IPO
Human Machinery
Application UK00801436103 · Registered
Quick Facts
| Application Number | UK00801436103 |
| Status | Registered |
| Owner | SVEIN TORP PERFORMANCE AS |
| Filed | 2018-06-06 |
| Registered | 2019-04-29 |
| Renewal Due | 2028-06-06 |
| Type | Individual |
| Feature | Word |
| Attorney | See claim section below |
Is this trademark active?
Yes. Human Machinery is currently a registered UK trademark, with renewal due on 2028-06-06. It is protected under UK intellectual property law and can be enforced against infringing uses.
Goods & Services
The specification below is taken directly from the filed record at the UK IPO for each Nice class this trademark is registered in.
Class 35 — Advertising & Business
Business management consultancy in the field of management and leadership development; business management of professional athletes; business development services; testing in order to assess employment ability.
Class 41 — Education & Entertainment
Coaching [training]; sports coaching; life coaching [training]; personal training; sports coaching services; educational services in the field of coaching; consultancy in the field of coaching [training and education counseling]; career counseling; arranging and conducting of colloquium and in-person educational forums in the field of leadership development; tutoring and providing of physical training; consultancy related to physical training; physical training services.
Class 44 — Medical & Beauty Services
Psychological coaching, counseling and therapy; physical therapy; chiropractic, physiotherapy, acupuncture, osteopathy, sports medicine, massage and paramedical services; treatment services in the filed of meta cognition; treatment services in the filed of meta cognitive coaching methods combined with physical "tapping method" for stimulation of the head/ mind for reduction of mental overstimulation and stress; trigger point physical therapy.
Timeline
- Filed: 2018-06-06
- Registered: 2019-04-29
- Renewal due: 2028-06-06
About This Trademark
'Human Machinery' is a registered trademark on the UK IPO register, owned by SVEIN TORP PERFORMANCE AS. The application (UK00801436103) was filed on 6 June 2018 and registered on 29 April 2019. The registration is set to expire on 6 June 2028.
This mark is recorded under multiple classes: Class 35 (advertising, business management & retail services); Class 41 (education, entertainment & sporting services); Class 44 (medical, veterinary & beauty services).
The trademark is represented by Zacco UK Ltd.
Frequently Asked Questions
Who owns UK trademark UK00801436103 ('Human Machinery')?
UK trademark UK00801436103 for the mark 'Human Machinery' in Class 35, 41, 44 is recorded on the UK IPO register as owned by SVEIN TORP PERFORMANCE AS. This covers one specific UK trademark record only — the same brand name may be owned by different parties in other classes, other countries, or as separate registrations.
Is UK trademark UK00801436103 currently a registered trademark?
Yes — the UK IPO records UK trademark UK00801436103 for the mark 'Human Machinery' as registered.
Which Nice classes is UK trademark UK00801436103 registered under?
UK trademark UK00801436103 for the mark 'Human Machinery' is recorded in Class 35 (advertising, business management & retail services); Class 41 (education, entertainment & sporting services); Class 44 (medical, veterinary & beauty services). The filed specification reads: Class 35: Business management consultancy in the field of management and leadership development; business management of professional athletes; business development services; testing in order to assess employment ability. | Class 41: Coaching [training]; sports coaching; life coaching [training]; personal training; s…
When was UK trademark UK00801436103 filed?
UK trademark UK00801436103 for the mark 'Human Machinery' was filed at the UK IPO on 6 June 2018 and registered on 29 April 2019.
When does UK trademark UK00801436103 need to be renewed?
UK trademark UK00801436103 for the mark 'Human Machinery' is currently recorded as valid until 6 June 2028, at which point it will need to be renewed with the UK IPO to remain in force.
Who is the attorney of record for UK trademark UK00801436103?
Zacco UK Ltd is listed as the attorney / representative of record for UK trademark UK00801436103 for the mark 'Human Machinery' on the UK IPO register.
Attorney of Record
This trademark has an attorney of record listed on the UK register. The firm has not yet claimed its listing on Trademark Dashboard.
Cross-Register Filings
Trademarks matching "Human Machinery" have been found on the following foreign registers. Exact matches appear first; where the name also appears inside longer filings, those are listed below as similar marks. A “Same applicant” badge appears next to a mark when the applicant name aligns with the source filing.
US — United States (USPTO)
| Mark | Ref | Status | Filed |
|---|---|---|---|
| HUMAN MACHINERYSame applicant | 79246168 | 700 | 2018-06-06 |
Similar names
| Mark | Ref | Status | Filed |
|---|---|---|---|
| PORTFOLIO THEORY IN OPTIMIZED MANUFACTURING PORTFOLIO THEORY IS A FRAMEWORK USED IN FINANCE TO ANALYZE AND OPTIMIZE INVESTMENT PORTFOLIOS. ACCORDING TO INVESTOPEDIA (SOURCE: HTTPS://WWW.INVESTOPEDIA.COM/TERMS/P/PORTFOLIOMANAGEMENT.ASP), THE CENTRAL IDEA OF PORTFOLIO THEORY IS THAT INVESTORS CAN REDUCE THEIR OVERALL RISK BY HOLDING A DIVERSIFIED PORTFOLIO OF ASSETS. THIS IS BECAUSE THE RETURNS OF DIFFERENT ASSETS TEND TO HAVE VARYING LEVELS OF CORRELATION, MEANING THAT THE RETURNS OF SOME ASSETS MAY RISE WHILE OTHERS FALL, DEPENDING ON MARKET CONDITIONS. IN PORTFOLIO THEORY, RISK IS TYPICALLY MEASURED BY THE VARIANCE OR STANDARD DEVIATION OF RETURNS. BY COMBINING ASSETS WITH VARYING LEVELS OF RISK, INVESTORS CAN CREATE A PORTFOLIO WITH A LOWER OVERALL LEVEL OF RISK THAN ANY OF THE INDIVIDUAL ASSETS. THIS IS KNOWN AS THE "DIVERSIFICATION EFFECT." THE OPTIMAL PORTFOLIO IS DETERMINED BY A TRADE-OFF BETWEEN RISK AND RETURN. ACCORDING TO INVESTOPEDIA (SOURCE: HTTPS://WWW.INVESTOPEDIA.COM/TERMS/P/PORTFOLIOMANAGEMENT.ASP), INVESTORS SEEK TO MAXIMIZE THEIR EXPECTED RETURN WHILE MINIMIZING THEIR RISK. THIS INVOLVES FINDING THE PORTFOLIO WITH THE HIGHEST EXPECTED RETURN FOR A GIVEN LEVEL OF RISK, OR THE LOWEST LEVEL OF RISK FOR A GIVEN EXPECTED RETURN. PORTFOLIO THEORY PROVIDES A NUMBER OF TOOLS AND TECHNIQUES FOR ANALYZING AND OPTIMIZING PORTFOLIOS, INCLUDING THE CALCULATION OF EXPECTED RETURN, VARIANCE, COVARIANCE, AND CORRELATION COEFFICIENTS. THESE MEASURES CAN BE USED TO CALCULATE THE EFFICIENT FRONTIER, WHICH REPRESENTS THE SET OF PORTFOLIOS THAT OFFER THE HIGHEST EXPECTED RETURN FOR A GIVEN LEVEL OF RISK, OR THE LOWEST LEVEL OF RISK FOR A GIVEN EXPECTED RETURN. OVERALL, PORTFOLIO THEORY PROVIDES A FRAMEWORK FOR INVESTORS TO ANALYZE AND OPTIMIZE THEIR INVESTMENT PORTFOLIOS BASED ON THEIR RISK TOLERANCE AND RETURN OBJECTIVES. BY DIVERSIFYING THEIR PORTFOLIOS AND BALANCING RISK AND RETURN, INVESTORS CAN REDUCE THEIR OVERALL RISK WHILE STILL ACHIEVING THEIR DESIRED LEVEL OF RETURN. CAPITAL ALLOCATION REFERS TO THE PROCESS OF DETERMINING HOW TO BEST ALLOCATE FINANCIAL RESOURCES WITHIN A COMPANY TO ACHIEVE OPTIMAL PERFORMANCE AND PROFITABILITY. ACCORDING TO INVESTOPEDIA (SOURCE: HTTPS://WWW.INVESTOPEDIA.COM/TERMS/C/CAPITALALLOCATION.ASP), THIS INVOLVES EVALUATING AND PRIORITIZING INVESTMENTS IN VARIOUS AREAS, SUCH AS EQUIPMENT, TECHNOLOGY, RESEARCH AND DEVELOPMENT, MARKETING, AND HUMAN RESOURCES, AMONG OTHERS. EFFECTIVE CAPITAL ALLOCATION REQUIRES A DEEP UNDERSTANDING OF THE COMPANY'S OPERATIONS, FINANCIAL PERFORMANCE, AND LONG-TERM STRATEGIC GOALS. IT ALSO INVOLVES WEIGHING THE COSTS AND BENEFITS OF POTENTIAL INVESTMENTS AND CONSIDERING THE POTENTIAL RISKS AND UNCERTAINTIES INVOLVED. ONE APPROACH TO CAPITAL ALLOCATION IS TO USE A CAPITAL BUDGETING PROCESS. ACCORDING TO CORPORATE FINANCE INSTITUTE (SOURCE: HTTPS://CORPORATEFINANCEINSTITUTE.COM/RESOURCES/KNOWLEDGE/FINANCE/CAPITAL-ALLOCATION/), THIS INVOLVES EVALUATING AND PRIORITIZING INVESTMENT PROPOSALS BASED ON THEIR POTENTIAL RETURN ON INVESTMENT (ROI) AND THE COMPANY'S AVAILABLE FINANCIAL RESOURCES. ANOTHER IMPORTANT ASPECT OF CAPITAL ALLOCATION IS RISK MANAGEMENT. THIS INVOLVES ASSESSING AND MANAGING RISKS ASSOCIATED WITH POTENTIAL INVESTMENTS, SUCH AS MARKET VOLATILITY, CHANGES IN CONSUMER DEMAND, AND TECHNOLOGICAL OBSOLESCENCE. ACCORDING TO HARVARD BUSINESS REVIEW (SOURCE: HTTPS://HBR.ORG/2018/11/THE-RISK-IN-CAPITAL-ALLOCATION), EFFECTIVE RISK MANAGEMENT INVOLVES IDENTIFYING POTENTIAL RISKS, DEVELOPING STRATEGIES TO MITIGATE THEM, AND MONITORING AND ADJUSTING INVESTMENTS OVER TIME TO ENSURE OPTIMAL PERFORMANCE AND PROFITABILITY. OVERALL, CAPITAL ALLOCATION IS A CRITICAL COMPONENT OF BUSINESS STRATEGY THAT REQUIRES CAREFUL PLANNING, ANALYSIS, AND RISK MANAGEMENT. BY ALLOCATING FINANCIAL RESOURCES EFFECTIVELY, COMPANIES CAN ENHANCE THEIR COMPETITIVENESS, IMPROVE THEIR FINANCIAL PERFORMANCE, AND ACHIEVE LONG-TERM SUCCESS. PORTFOLIO THEORY IS A FRAMEWORK USED IN FINANCE TO ANALYZE AND OPTIMIZE INVESTMENT PORTFOLIOS. HOWEVER, THIS THEORY CAN ALSO BE APPLIED TO A MANUFACTURING ENVIRONMENT WHERE EACH PIECE OF MACHINERY TRACKS THE INPUT AND OUTPUT OF THE MATERIALS BEING CONVERTED INTO A FINISHED PRODUCT. THIS APPLICATION OF PORTFOLIO THEORY CAN HELP MANUFACTURERS MAKE INFORMED DECISIONS ABOUT HOW TO ALLOCATE RESOURCES, MINIMIZE RISK, AND MAXIMIZE PROFITABILITY. IN A MANUFACTURING ENVIRONMENT, THERE ARE MANY DIFFERENT FACTORS TO CONSIDER WHEN ANALYZING AND OPTIMIZING PRODUCTION PROCESSES. EACH PIECE OF MACHINERY HAS ITS OWN SET OF INPUT AND OUTPUT METRICS, WHICH CAN BE USED TO TRACK PERFORMANCE AND IDENTIFY OPPORTUNITIES FOR IMPROVEMENT. BY USING PORTFOLIO THEORY, MANUFACTURERS CAN ANALYZE THESE METRICS AND IDENTIFY AREAS WHERE THEY CAN OPTIMIZE THEIR PROCESSES TO REDUCE COSTS, INCREASE EFFICIENCY, AND IMPROVE OVERALL PROFITABILITY. ONE IMPORTANT ASPECT OF PORTFOLIO THEORY IN A MANUFACTURING ENVIRONMENT IS RISK MANAGEMENT. MANUFACTURING PROCESSES ARE INHERENTLY COMPLEX AND INVOLVE MANY DIFFERENT VARIABLES, SUCH AS SUPPLY CHAIN DISRUPTIONS, MARKET VOLATILITY, AND CHANGES IN CONSUMER DEMAND. BY DIVERSIFYING THEIR PRODUCTION PROCESSES AND BALANCING RISK AND RETURN, MANUFACTURERS CAN REDUCE THEIR OVERALL RISK WHILE STILL ACHIEVING THEIR DESIRED LEVEL OF PROFITABILITY. ANOTHER KEY ASPECT OF PORTFOLIO THEORY IN A MANUFACTURING ENVIRONMENT IS OPTIMIZATION. BY ANALYZING THE INPUT AND OUTPUT METRICS OF EACH PIECE OF MACHINERY, MANUFACTURERS CAN IDENTIFY AREAS WHERE THEY CAN OPTIMIZE THEIR PRODUCTION PROCESSES TO REDUCE WASTE, INCREASE EFFICIENCY, AND IMPROVE OVERALL PERFORMANCE. FOR EXAMPLE, BY IDENTIFYING BOTTLENECKS IN THE PRODUCTION PROCESS AND INVESTING IN ADDITIONAL MACHINERY TO INCREASE CAPACITY, MANUFACTURERS CAN INCREASE THEIR OVERALL OUTPUT AND REDUCE THEIR PRODUCTION COSTS. OVERALL, PORTFOLIO THEORY CAN BE A VALUABLE TOOL FOR MANUFACTURERS LOOKING TO OPTIMIZE THEIR PRODUCTION PROCESSES AND IMPROVE PROFITABILITY. BY ANALYZING THE INPUT AND OUTPUT METRICS OF EACH PIECE OF MACHINERY AND BALANCING RISK AND RETURN, MANUFACTURERS CAN MAKE INFORMED DECISIONS ABOUT HOW TO ALLOCATE RESOURCES AND MINIMIZE RISK WHILE STILL ACHIEVING THEIR DESIRED LEVEL OF PROFITABILITY. WITH THE RIGHT TOOLS AND STRATEGIES IN PLACE, MANUFACTURERS CAN ACHIEVE LONG-TERM SUCCESS AND REMAIN COMPETITIVE IN TODAY'S FAST-PACED MANUFACTURING ENVIRONMENT. PORTFOLIO THEORY IN OPTIMIZED MANUFACTURING IS A MANUFACTURING ANALYTICS PLATFORM THAT LINKS EACH MACHINERY ASSET TOGETHER AND DETERMINES THE CORRELATION BETWEEN THE ASSETS AND THE PROFITS RECEIVED FOR SELLING THE FINISHED PRODUCTS. THIS SOFTWARE CAN HELP MANUFACTURERS IMPROVE THEIR PRODUCTION PROCESSES BY IDENTIFYING INEFFICIENCIES AND COMPARING THESE INEFFICIENCIES WITH OTHER PLANTS THAT HAVE THE SAME SOFTWARE. THE MANUFACTURING ANALYTICS PLATFORM WORKS BY COLLECTING AND ANALYZING DATA FROM EACH MACHINERY ASSET IN REAL-TIME. THIS DATA INCLUDES INFORMATION SUCH AS THE INPUT AND OUTPUT METRICS, PRODUCTION RATES, AND MAINTENANCE SCHEDULES. THE SOFTWARE USES ADVANCED ALGORITHMS TO DETERMINE THE CORRELATION BETWEEN THE DATA AND THE PROFITS RECEIVED FOR SELLING THE FINISHED PRODUCTS. BY ANALYZING THIS DATA, THE SOFTWARE CAN IDENTIFY INEFFICIENCIES IN THE PRODUCTION PROCESS AND PROVIDE RECOMMENDATIONS FOR IMPROVING PERFORMANCE. FOR EXAMPLE, THE SOFTWARE MAY IDENTIFY A BOTTLENECK IN THE PRODUCTION PROCESS WHERE ONE MACHINE IS CONSISTENTLY UNDERPERFORMING COMPARED TO THE OTHERS. THE SOFTWARE CAN THEN PROVIDE RECOMMENDATIONS FOR OPTIMIZING THE MACHINE'S PERFORMANCE, SUCH AS SCHEDULING ADDITIONAL MAINTENANCE OR REPLACING THE MACHINE WITH A MORE EFFICIENT MODEL. IN ADDITION TO IDENTIFYING INEFFICIENCIES, THE MANUFACTURING ANALYTICS PLATFORM CAN ALSO COMPARE THE PERFORMANCE OF DIFFERENT PLANTS THAT HAVE THE SAME SOFTWARE. THIS ALLOWS MANUFACTURERS TO BENCHMARK THEIR PERFORMANCE AGAINST INDUSTRY STANDARDS AND IDENTIFY AREAS FOR IMPROVEMENT. FOR EXAMPLE, THE SOFTWARE MAY COMPARE THE PRODUCTION RATES OF ONE PLANT TO OTHER PLANTS IN THE SAME REGION, AND PROVIDE RECOMMENDATIONS FOR IMPROVING PERFORMANCE BASED ON THE COMPARISON. OVERALL, THE MANUFACTURING ANALYTICS PLATFORM IS A POWERFUL TOOL FOR IMPROVING THE EFFICIENCY AND PROFITABILITY OF MANUFACTURING OPERATIONS. BY LINKING EACH MACHINERY ASSET TOGETHER AND DETERMINING THE CORRELATION BETWEEN THE ASSETS AND PROFITS RECEIVED, THE SOFTWARE CAN IDENTIFY INEFFICIENCIES AND PROVIDE RECOMMENDATIONS FOR IMPROVING PERFORMANCE. BY COMPARING THE PERFORMANCE OF DIFFERENT PLANTS, THE SOFTWARE CAN HELP MANUFACTURERS BENCHMARK THEIR PERFORMANCE AND IDENTIFY OPPORTUNITIES FOR IMPROVEMENT. | 97829428 | 622 | — |
Data Source
United Kingdom (Intellectual Property Office)
UK trademark data is supplied by the Intellectual Property Office under the Open Government Licence v3.0.
United States (USPTO)
US trademark data is supplied by the United States Patent and Trademark Office. Works of the US federal government are in the public domain under 17 U.S.C. §105.
The “About This Trademark” summary and FAQ above are AI-generated from the register data shown on this page. They are factual summaries only — always verify details against the official register before making legal decisions.