MCP
MCP GmbH (Algorithm Factory) is a Vienna-based consulting and software firm that combines mathematical optimization with AI-as-a-Service to deliver production planning, supply chain planning, and workforce management solutions for DACH-region manufacturers in process and discrete industries.
- Company typePrivate
- Founded2007
- HeadquartersVienna, Austria
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What MCP does
MCP GmbH (operating under the brand "Algorithm Factory") is a Vienna-headquartered management consulting and software firm founded in 2007 that develops planning processes and systems for manufacturing companies, with a focus on mathematical optimization and AI-driven production, supply chain, and workforce planning. The firm employs 40+ specialists, has completed 300+ planning projects, and serves enterprise manufacturers in the DACH region across process industries (food, beverage, ultra-fresh, cosmetics, chemicals, animal feed) and discrete manufacturing (electronics, electrical engineering, machinery). MCP operates as a Siemens Solution Partner for Opcenter APS in DACH and as a channel partner for Sunstice (formerly FuturMaster) supply chain planning software.
The company's product portfolio centers on three platforms — Sunstice (end-to-end supply chain planning), Opcenter APS (detailed production scheduling implemented as a Siemens partner), and the proprietary MCP Workforce Management solution with its Shopfloor Monitor — augmented by AI-as-a-Service, a cloud-based REST API platform that exposes Constraint Programming, Metaheuristics, and Machine Learning optimization as embeddable modules for setup time, food production, tank/silo, paint shop, and resource-constraint scheduling. Add-on modules extend Opcenter APS with weighting rules, energy consumption monitoring, AI integration, silo/tank planning, and Power BI reporting. The technology stack is grounded in proprietary algorithms refined through research collaborations with TU Wien (Christian Doppler Laboratory, now CAIML doctoral college), KIT, University of Duisburg-Essen, and University of Siegen.
MCP generates revenue through a hybrid model: professional services for consulting and software implementation (projects typically spanning 2-6 months, priced based on scope with multi-year contracts) and recurring revenue from MCP Workforce Management and AI-as-a-Service subscriptions. Go-to-market is consultative enterprise field sales initiated via free "Potenzialgespräch" potential-assessment conversations, supplemented by event-driven thought leadership (Fachgespräche Feinplanung expert talks), content marketing, and LinkedIn advertising. Distribution combines direct enterprise sales with channel/OEM relationships — Siemens for Opcenter APS, Optwisier and GRÜN GQM for embedded AI-as-a-Service — and a 2026 market development push into Central and Eastern Europe. The firm is privately held, ISO 27001 certified, and has grown organically with no disclosed external funding.
MCP firmographics
Firmographics- Name
- MCP
- Legal name
- MCP GmbH
- Website
- https://algorithm-factory.com
- Company type
- Private
- Founded year
- 2007
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- MCP GmbH (Algorithm Factory) is a Vienna-based consulting and software firm that combines mathematical optimization with AI-as-a-Service to deliver production planning, supply chain planning, and workforce management solutions for DACH-region manufacturers in process and discrete industries.
- Ownership category
- akta.pro rank
MCP industry classification
Industry- Product category
- Manufacturing Planning Software
- NAICS
- Custom Computer Programming Services (541511)
- SIC
- Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Supply Chain Planning (SCP) & Advanced Planning Systems (APS) (HDAEAEAL)
- akta.pro secondary industries
- Supply Chain Planning (S&OP/IBP, Demand & Inventory) (BPAHAHAD), Core ERP Suites (Financials, Procurement, Projects) (HDAEAEAA)
Keywords
Where MCP is headquartered
LocationHeadquarters
- HQ city
- Vienna
- HQ country
- Austria
- HQ region
- Europe
Offices2 records
Markets served
MCP business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations
Revenue model
- Process Consulting: Process and organizational consulting for supply chain planning, production planning, and workforce management. Includes analysis of planning processes, identification of optimization potential, and implementation of best practices.
- Software Implementation: Implementation of Opcenter APS (Siemens), Sunstice (Supply Chain Planning), and MCP's own Workforce Management and AI-as-a-Service solutions. Projects typically span 2-6 months.
- AI-as-a-Service: Cloud-based optimization algorithms offered as a service, allowing quick and easy integration into existing software solutions. Revenue generated through subscription or usage-based model for optimization algorithms.
- MCP Workforce Management: Proprietary workforce management software offered as end-to-end solution or integrated with other software. Can be delivered standalone or integrated with Opcenter APS.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Other | Multi-year contract | Consultation-based pricing with free initial potential assessment |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels6 records
MCP product offering
Product offeringCore offering
MCP develops and implements integrated planning architectures for industrial manufacturers, combining supply chain planning (Sunstice), production detailed scheduling (Opcenter APS), qualification-based workforce management, and AI-as-a-Service optimization. The firm delivers mathematical optimization algorithms via REST API that integrate with existing ERP, MES, or APS systems and provides consulting, implementation services, and proprietary software add-ons for complex production environments.
Product overview
MCP (Algorithm Factory) is a planning and optimization specialist that develops and implements integrated planning architectures for industrial companies. The product portfolio centers on three core solutions: Sunstice (supply chain planning), Opcenter APS (production detailed scheduling), and MCP Workforce Management (personnel deployment planning), which are enhanced by AI-as-a-Service for advanced optimization. MCP also offers proprietary add-ons for Opcenter APS including MCP Weighting Rule, Energy Consumption Monitor, AI Integration, Silo and Tank Planning, and Power BI Reporting. AI-as-a-Service provides specialized optimization modules including Setup Time Optimisation, Food Production Scheduling, Process Industry Scheduling, Paint Shop Scheduling, Artificial Teeth Scheduling, Core Resource Assignment, Employee Resource Assignment, Production Leveling, Batch Optimisation, Resource/Constraint Optimisation, Tank/Silo Optimisation, and Sequence Optimisation. The solutions combine supply chain planning, production planning, workforce management, mathematical optimization, and shop floor execution into consistent decision architectures.
Differentiator
Problem solved
Functional benefit
Brands
- Sunstice: Supply chain planning software for end-to-end planning of demand, inventory, procurement, and production.
- AI-as-a-Service
- MCP Workforce Management
- Opcenter APS Add-Ons
Products and services
- Sunstice End-to-end supply chain planning software providing transparency across demand, inventory, procurement, and production. Includes Demand Planning, Supply Planning, Inventory Optimization, S&OP, Distribution Resource Planning, Revenue Growth Management, Integrated Business Planning, and SAP Integration for data-driven management decisions.
- Opcenter APS Advanced Planning and Scheduling (APS) system for detailed production scheduling and capacity planning of all production resources, considering rules, constraints, and alternative machines. Delivered in DACH via MCP's Siemens Solution Partnership.
- MCP Workforce Management Qualification-based workforce planning for production that combines personnel availability, skills, and production requirements into a single integrated plan. Includes qualification management, absence management, shift planning, and the Shopfloor Monitor for digital feedback from the production floor. Can be delivered standalone or integrated with Opcenter APS.
- AI-as-a-Service Cloud-based optimization algorithms delivered via REST API that solve complex planning problems including production scheduling, setup time optimization, resource allocation, batch optimization, sequence optimization, and production leveling. Integrates with existing ERP, MES, or APS systems without requiring in-house algorithm or AI expertise.
Quantifiable outcome
- +15% more accurate forecasts
- +7 more outcomes
Companies that use MCP
Customer profileNamed customers14 records
Segments4 records
Ideal customer profiles2 records
MCP technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration7 records
AI capability4 records
Feature8 records
MCP partnerships and signals
Strategic signalPartnerships
Ten partnerships are on record, tiered core and minor.
- CAIML (Center for Artificial Intelligence and Machine Learning)coreTU Wien invited MCP to participate in the newly established CAIML doctoral college based on MCP's extensive expertise in planning algorithms and AI acquired through the Christian Doppler Laboratory.
- TU Wien - Christian Doppler LaboratorycoreTogether with TU Wien, MCP established a Christian Doppler Laboratory for research on 'Artificial Intelligence and Optimization in Planning and Scheduling' under the leadership of Assoc. Prof. DI Dr. Nysret Musliu. After seven successful years, MCP's expertise led to invitation to join CAIML (Center for Artificial Intelligence and Machine Learning).
- SiemenscoreMCP became a Solution Partner for Siemens in the DACH region. As part of the evaluation process for Siemens, MCP evaluated APS production planning tools for the Siemens Transformer Group and recommended Preactor (now Opcenter APS). MCP fills geographical gaps in Siemens' global network for Opcenter APS distribution and implementation.
- Karlsruhe Institute of Technology (KIT)coreResearch collaboration with KIT on methods for enhancing energy flexibility of industrial processes. Goal is to develop AI-supported approaches making energy-intensive production more grid-friendly and sustainable. MCP acts as implementation partner transferring research into industrial practice.
- University of Duisburg-EssenminorResearch collaboration focused on stochastic modeling and capacity planning.
- University of SiegenminorResearch collaboration focused on human factors, industry 4.0, decision analysis, and project management.
- Optwisier A.I. SolutionscoreOptwisier's modern supply chain planning software is powered by optimization algorithms from MCP. The solution enables automated detailed planning specifically for the food industry, including multi-stage processes that take setup times and intermediate storage capacities into account.
- GRÜN GQMcoreGRÜN GQM uses MCP's AI-as-a-Service in its established MES software for food and beverage industry. Automatic line sequence optimization enables planners to improve existing schedules at the click of a button, resulting in shorter setup times and improved on-time delivery.
- FuturMaster (now Sunstice)coreMCP expanded its solution portfolio by adding FuturMaster's supply chain software (now Sunstice). FuturMaster rebranded to Sunstice with strategic shift toward Structured Agility. MCP is an active partner for supply chain planning in DACH and CEE regions.
- Stiefsohn Consulting GmbHminorAffiliated company and part of corporate group structure. Listed as a connected enterprise in data protection documentation.
Scale indicators5 records
Recent moves8 records
Expansion highlights6 records
MCP competitors and assessment
Company assessmentBroad incumbents
- Blue Yonder: Panasonic-owned supply chain and retail planning platform covering demand, supply, manufacturing planning, and warehouse management. Overlaps with MCP on production planning and supply chain optimization for industrial customers, but at global enterprise scale.
- Dassault Systèmes DELMIA Quintiq: Advanced Planning and Scheduling suite within Dassault's 3DEXPERIENCE platform. Direct competitor to MCP's Opcenter APS practice for complex manufacturing scheduling, particularly in process and discrete industries.
- o9 Solutions: Enterprise supply chain planning platform built on a knowledge graph and AI/ML, covering demand sensing, S&OP, supply planning, and integrated business planning. Comparable to MCP's full-stack Sunstice + Opcenter APS + AI-as-a-Service stack, but at significantly larger enterprise scale.
- Kinaxis: Public supply chain planning platform (Concurrent Planning / RapidResponse) serving global manufacturers. Comparable to MCP's Sunstice/IBP offerings but at much larger scale with a broader suite including S&OP, demand, supply, and inventory.
Direct peers
- ToolsGroup: Supply chain planning software vendor specializing in demand planning, inventory optimization, and S&OP/IBP with a probabilistic/Machine Learning approach. Direct peer to MCP's Sunstice practice and overlaps on the +15% forecast accuracy narrative.
- AIMMS (now AIMMS by Forwrd): Optimization platform for supply chain planning, production scheduling, and S&OP. Comparable to MCP's AI-as-a-Service positioning: a modeling and optimization layer that integrates with ERP/APS systems to deliver mathematically optimized plans to manufacturers.
- FuturMaster (now Sunstice): Supply chain planning software vendor whose platform MCP resells and implements. MCP and FuturMaster co-sell in DACH/CEE; the 2026 Sunstice rebrand reflects a strategic shift. Highly comparable as both build IBP/S&OP solutions for process and discrete manufacturers.
- IGZ Ingenieurgesellschaft für computergestützte Automation: Like MCP, IGZ is a DACH-based Siemens Opcenter APS partner and SAP MII specialist providing production planning and MES integration services to industrial customers. Operates in the same consulting-plus-platform-add-on model with comparable scale and customer overlap.
Regional players
- Camelot Management Consultants: DACH-based management and IT consulting firm specializing in SAP supply chain and IBP implementations. Comparable to MCP in regional positioning, consulting-led model, and manufacturing customer base, with focus on SAP IBP rather than Siemens Opcenter APS.
Emerging players
- Optwisier A.I. Solutions: Food-industry-focused supply chain planning software that embeds MCP's optimization algorithms via API. Comparable to MCP's verticalized AI-as-a-Service play in the food industry; serves as both a partner and a vertical peer that demonstrates MCP's embeddable technology.
Market position
Strengths5 records
Weaknesses4 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
MCP social profiles
Digital presenceMCP compliance and trust
Trust signalCompliance1 record
MCP financial estimates
Financial estimateRevenue estimate
Valuation estimate
MCP leadership team
Management profileNumber of profiles
Profiles4 records
MCP funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
MCP M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about MCP
What does MCP do?
MCP develops and implements integrated planning architectures for industrial manufacturers, combining supply chain planning (Sunstice), production detailed scheduling (Opcenter APS), qualification-based workforce management, and AI-as-a-Service optimization. The firm delivers mathematical optimization algorithms via REST API that integrate with existing ERP, MES, or APS systems and provides consulting, implementation services, and proprietary software add-ons for complex production environments.
Is MCP a public or private company?
MCP is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was MCP founded?
MCP was founded in 2007. It employs 11 to 50 people.
Where is MCP based?
MCP is headquartered in Vienna, Austria, in the Europe region.
How does MCP make money?
Four revenue lines are on record. Process Consulting is the primary driver. The others are software Implementation, AI-as-a-Service and MCP Workforce Management.
Who are MCP's main competitors?
Broad incumbents on record are Blue Yonder, Dassault Systèmes DELMIA Quintiq, o9 Solutions and Kinaxis. Direct peers are ToolsGroup, AIMMS (now AIMMS by Forwrd), FuturMaster (now Sunstice) and IGZ Ingenieurgesellschaft für computergestützte Automation. Camelot Management Consultants is listed as a regional player. Optwisier A.I. Solutions is listed as an emerging player.
Does MCP have an API?
Yes. AI-as-a-Service provides optimization algorithms as a cloud service via REST APIs. Planning data (orders, resources, constraints) is transmitted to the AI via REST API, processed to compute optimized solutions, and returned as structured results to the target system. Integration is designed for ERP, MES, and APS planning systems.
What industry is MCP in?
MCP's product category is Manufacturing Planning Software. Its primary akta.pro industry code is HDAEAEAL, Supply Chain Planning (SCP) & Advanced Planning Systems (APS), with a secondary code of BPAHAHAD, Supply Chain Planning (S&OP/IBP, Demand & Inventory). Its NAICS code is 541511 and its SIC code is 7373.