Mosek

What Mosek does

Mosek ApS is a privately held Danish software company founded in 1997 by Erling D. Andersen and Knud D. Andersen, headquartered in Copenhagen's Symbion Science Park. The company develops and commercializes MOSEK, a mathematical optimization solver that addresses linear programming (LP), quadratic programming (QP), second-order cone programming (SOCP), semidefinite programming (SDP), and mixed-integer programming (MIP) problems using a state-of-the-art interior-point optimizer supplemented by simplex methods.

The product surface is structured around two API tiers: a high-level object-oriented Fusion API for Python, C++, Java, and .NET, and a lower-level Optimizer API available for C, Java, .NET, Python, Julia, Rust, and R. An OptServer add-on enables remote optimization execution with job scheduling. MOSEK is deeply integrated into the broader optimization ecosystem, serving as a backend solver for CVXPY, Pyomo, JuMP, GAMS, AMPL, YALMIP, CVX (MATLAB), PuLP, Mathematica, Drake, and Frontline Solvers. The current stable release is MOSEK 11.2.

Mosek monetizes through one-time commercial licenses with annual software maintenance, volume-based group licenses, OEM/ISV embedding royalties, and free academic licenses that serve as a developer-adoption funnel. Distribution occurs through direct sales, resellers, AWS Marketplace, and an integrator program. The named commercial customer base spans financial services (MSCI, Zurich Insurance Group), technology (Sony, Mitsubishi, MathWorks, Code Ocean), energy (EDF Renewables, Gridmatic, Plexos), automotive (Bridgestone), consulting (COWI), and transportation (Danske Statsbaner), while the academic footprint includes 97,992 active personal licenses and 202 institutional licenses at institutions such as MIT, Harvard, and Berkeley. The company operates with 1-10 employees and no external venture or private equity funding.

Name

Mosek

Legal name

Mosek ApS

Website

https://mosek.com

Company type

Private

Founded year

1997

Operating status

Operating

Headcount range

1–10 employees

Short description

Mosek ApS is a Danish software company that develops MOSEK, a mathematical optimization solver for linear, quadratic, conic, semidefinite, and mixed-integer programming, sold via commercial and OEM licenses to enterprises in financial services, energy, technology, and engineering, with a large free academic user base.

Ownership category

akta.pro rank

Headquarters

HQ city

Copenhagen

HQ country

Denmark

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Operations, Marketing or Sales, Infrastructure

Revenue model

1. Commercial Software Licenses: Mosek sells commercial licenses for its optimization solver software. Pricing is publicly available on their website. The purchase process involves quote requests, purchase orders, and license activation.
2. Software Maintenance: Annual software maintenance contracts provide updates, support, and access to new versions
3. Group License: Volume licensing scheme for organizations requiring large-scale usage, offering flexibility without token server requirements
4. OEM/ISV Licensing: Companies that integrate MOSEK into their own services or software sold to third parties can obtain OEM/ISV licenses
5. Academic Licenses: Free academic licenses for students and professors at educational institutions

Pricing tiers

Go-to-market motion1 record

Distribution channels5 records

Marketing channels8 records

Core offering

MOSEK is a commercial mathematical optimization solver that solves linear (LP), quadratic (QP), conic (SOCP), semidefinite (SDP), and mixed-integer (MIP) programming problems using state-of-the-art interior-point optimizers. The software is delivered through the MOSEK Fusion API (a high-level object-oriented modeling interface) and the MOSEK Optimizer API (a lower-level C-based interface) for integration into customer applications.

Product overview

MOSEK is a unified mathematical optimization software platform centered on its core solver engine. The main product is the MOSEK solver for linear, quadratic, conic, semidefinite, and mixed-integer programming. Users interact with the solver through two API layers: the Fusion API (object-oriented, available for Python, C++, Java, .NET) and the Optimizer API (lower-level C-based, available for C, Java, .NET, Python, Julia, Rust). The OptServer enables remote optimization execution. MOSEK offers specialized licensing tiers including free academic licenses, trial licenses, commercial licenses, group licenses for enterprise deployments, and OEM/ISV licensing for embedded integrations. The company provides extensive documentation, tutorials, and modeling cookbooks to support users across financial, energy, engineering, and academic sectors.

Differentiator

Problem solved

Functional benefit

Brands

• MOSEK: The company's primary optimization solver product for linear, quadratic, conic, and mixed-integer programming problems
• OptServer
• Fusion API
• Optimizer API

Products and services

• MOSEK Solver

Quantifiable outcome

• Robeco uses similar solver technology to optimize €12.5 billion in fixed income portfolios daily

Named customers19 records

Segments7 records

Ideal customer profiles5 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration12 records

AI capability1 record

Feature5 records

Partnerships

Ten partnerships are on record, tiered core.

• CVXPYcoreTechnology or IntegrationThird-party Python interface for convex optimization. CVXPY is an open-source Python-embedded modeling language for convex optimization problems that uses MOSEK as a solver backend.
• PyomocoreTechnology or IntegrationPython-based open-source optimization modeling language that can interface with MOSEK for solving optimization problems.
• JuMPcoreTechnology or IntegrationJulia-based optimization modeling language that provides MOSEK as one of its supported solvers for mathematical optimization.
• GAMScoreTechnology or IntegrationComprehensive optimization platform with MOSEK integrated as a solver option for various optimization problem types.
• AMPLcoreTechnology or IntegrationAlgebraic modeling language for optimization that supports MOSEK as a solver for linear, quadratic, and conic problems.
• YALMIPcoreTechnology or IntegrationMATLAB toolbox for rapid prototyping of optimization problems that integrates with MOSEK solver.
• CVX (MATLAB)coreTechnology or IntegrationMATLAB-based convex optimization modeling framework that supports MOSEK as a backend solver.
• PuLPcoreTechnology or IntegrationPython library for linear and mixed-integer programming that can use MOSEK as a solver backend.
• MathematicacoreTechnology or IntegrationWolfram's technical computing platform that includes workflow support for MOSEK licensing and integration.
• AWS MarketplacecoreTechnology or IntegrationMOSEK available on AWS Marketplace for easy cloud deployment and licensing through Amazon Web Services.

Scale indicators4 records

Recent moves6 records

Expansion highlights5 records

Emerging players

• COIN-OR Foundation: COIN-OR hosts a family of open-source optimization solvers (CLP, Ipopt, Bonmin, Couenne, etc.) that provide free alternatives for many LP, MIP, and nonlinear problems, and serve as a price-umbrella competitor in MOSEK's core academic and lower-end commercial segments.
• Hexaly (formerly LocalSolver): Hexaly is a commercial solver focused on combinatorial and global optimization, addressing problems that overlap with MOSEK's MIP and QP workloads (scheduling, routing, allocation). It represents a newer commercial entrant in the same sales motion.
• Google OR-Tools: Google's open-source optimization suite covering routing, scheduling, LP, and MIP. While broader than a pure LP/QP/SOCP solver, OR-Tools competes for the same developer mindshare and is a credible (free) alternative for a meaningful slice of MOSEK's problem classes.

Broad incumbents

• Wolfram Research (Mathematica): Wolfram Mathematica includes built-in linear and nonlinear optimization solvers and integrates MOSEK as an external solver for harder problems. It overlaps MOSEK's mathematical-compute audience at universities and in research-led industries, and is also a channel partner (named MOSEK customer).
• FICO Xpress Optimization: FICO Xpress is a commercial optimization suite covering LP, MIP, and constraint programming with strong positioning in supply chain and financial services — directly comparable enterprise workloads to MOSEK's verticals, sold through FICO's broader analytics franchise.
• IBM ILOG CPLEX: IBM's CPLEX Optimization Studio is a long-established commercial solver for LP, QP, MIP, and CP, sold as part of IBM's broader analytics portfolio. It overlaps MOSEK's core problem classes and serves the same enterprise buyer, with the addition of IBM's wider data and AI tooling.

Direct peers

• LINDO Systems (LINGO / BARON): LINDO Systems offers LINGO for general LP/MIP and BARON for global (non-convex) optimization. BARON overlaps MOSEK's coverage of harder problem classes and is sold to the same enterprise / academic buyers, making it a comparable specialty solver vendor.
• Gurobi Optimization: Gurobi is the market-leading commercial mathematical optimization solver for LP, QP, and MIP, and is the primary direct competitor to MOSEK for enterprise optimization workloads in finance, logistics, and energy — the same verticals where MOSEK books revenue.

Others

• AMPL Optimization: AMPL is an algebraic modeling language for optimization that supports MOSEK alongside other solvers. It sits in the same optimization-software ecosystem, often co-evaluated with MOSEK in academic and enterprise modeling-stack purchases.
• GAMS (GAMS Development Corp.): GAMS is an algebraic modeling platform that integrates MOSEK as a solver option. As a modeling layer sitting above solvers like MOSEK, GAMS is both a partner and a peer in the optimization ecosystem, often evaluated alongside MOSEK in stack-selection decisions.

Market position

Strengths4 records

Weaknesses3 records

Competitive moat5 records

Key risks5 records

Key highlights7 records

Customer concentration

• Xx.com/mosektw
• GitHubgithub.com/MOSEK
• YouTubeyoutube.com/channel/UCvIyectEVLP31NXeD5mIbEw
• LinkedInlinkedin.com/company/mosek-aps

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Mosek