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z = −1 + i' nα = θ + 2πk ax + by + cz + d = 0 a (f(x + T) = f(x), ∀ x ∈ IR) (f(−x) = f(x), ∀ x ∈ D) 2x + 2y + z + 4t = 0 z = −1 + i u = ρ (cosα + isinα) x + by + cz + d = 0 a (f(x + T) = f(x), ∀ x ∈ IR) (f(−x) = f(x), ∀ x ∈ D) −x + 2y + z + t = −1 2x + 2y + z + 4t = 0 C = {z = x + iy x, y ∈ IR} z = −1 + i nα = θ + 2πk u = ρ (cosα + isinα) f(x) = 3x − 2 z = r (cosθ + isinθ) (f(−x) = f(x), ∀ x ∈ D) −x + 2y + z + t = −1 2x + 2y + z + 4t = 0 C = {z = x + iy x, y ∈ IR}

Math for a better future

Moxoff

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moxoff

What we do

We generate innovation

We develop software, based on artificial intelligence algorithms and mathematical models, that allow companies to optimize their processes and products, empowering them to seize new business opportunities.

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MATHFUSION

We combine the innovative force of Artificial Intelligence and Data Science with the descriptive ability of Mathematical Modeling, to elevate the best of both disciplines to full power. That's how our customers can leverage the two core assets of their organizations: data and people, with their experiences and skills.

MULTISECTORIAL

We operate in different industry segments and this allows us to break away from predictable paths and adopt original solutions, inspired by our successful experiences in other domains.

INNOVATION ENABLERS

We explore the results of mathematical research and select those solutions that enable us to create original, reliable and easy-to-use algorithms and software for the industry.

Solutions

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z = −1 + i nα = θ + 2πk u = ρ (cosα + isinα) f(x) = 3x − 2 2x + 2y + z + 4t = 0 −x + 2y + z + t = −1 nα = θ + 2πk

Search Engine & Best-Fit Algorithm

Best Match

Knowing how to respond to customers quickly and with a high degree of customization is a differentiating competitive factor.

z = −1 + i' nα = θ + 2πk u = ρ (cosα + isinα) −x + 2y + z + t = −1 2x + 2y + z + 4t = 0 C = {z = x + iy x, y ∈ IR} z = −1 + i nα = θ + 2πk

Planning & Prediction

Predictive Maintenance

How to improve the planning of maintenance interventions, so as to limit the impact on production and improve the service offered to customers.

C = {z = x + iy x, y ∈ IR} 2x + 2y + z + 4t = 0 z = −1 + i nα = θ + 2πk −x + 2y + z + t = −1 a (f(x + T) = f(x), ∀ x ∈ IR) (f(−x) = f(x), ∀ x ∈ D) nα = θ + 2πk

Resource Allocation Forecasting & Optimization

Workforce Scheduler

Analyze different scenarios to find the one that best resolves the trade-off between costs and service level for scheduling staff schedules.

a (f(x + T) = f(x), ∀ x ∈ IR) (f(−x) = f(x), ∀ x ∈ D) −x + 2y + z + t = −1 2x + 2y + z + 4t = 0 C = {z = x + iy x, y ∈ IR} 2x + 2y + z + 4t = 0 nα = θ + 2πk −x + 2y + z + t = −1

Prediction & Detection

Real Time Monitoring & Anomaly Detection

Monitor and anticipate phenomena that influence the evolution of a process or the life of a product.

a (f(x + T) = f(x), ∀ x ∈ IR) (f(−x) = f(x), ∀ x ∈ D) −x + 2y + z + t = −1 2x + 2y + z + 4t = 0 C = {z = x + iy x, y ∈ IR} [x0 −r, x0 + r] (cosnα + isinnα) = (cosα + isinα)n z = −1 + i nα = θ + 2πk

Document Search Engine

Document miner

Navigate quickly and interactively within large document archives.

x + by + cz + d = 0 a (f(x + T) = f(x), ∀ x ∈ IR) (f(−x) = f(x), ∀ x ∈ D) −x + 2y + z + t = −1 2x + 2y + z + 4t = 0 C = {z = x + iy x, y ∈ IR} z = −1 + i nα = θ + 2πk

Propensity

Response Prediction

Identify which users of a service are at the highest risk of churn.

x + by + cz + d = 0 a (f(x + T) = f(x), ∀ x ∈ IR) (f(−x) = f(x), ∀ x ∈ D) −x + 2y + z + t = −1 2x + 2y + z + 4t = 0 C = {z = x + iy x, y ∈ IR} z = −1 + i nα = θ + 2πk

Prediction

Network Time-Series Forecasting

Monitor the functioning of every single element of a complex network.

z = r (cosθ + isinθ) x + by + cz + d = 0 (f(−x) = f(x), ∀ x ∈ D) −x + 2y + z + t = −1 2x + 2y + z + 4t = 0 C = {z = x + iy x, y ∈ IR} z = −1 + i (f(−x) = f(x), ∀ x ∈ D)

Distribution Forecasting

Data-Driven & What If Analysis

Assign each entity of interest to a class.

(f(−x) = f(x), ∀ x ∈ D) −x + 2y + z + t = −1 2x + 2y + z + 4t = 0 C = {z = x + iy x, y ∈ IR} z = −1 + i nα = θ + 2πk 2x + 2y + z + 4t = 0 z = −1 + i

Campaign media mix

Marketing Campaign Planning & Evaluation

Analysis, attribution and simulation of marketing campaigns.

Focus

Highlights

Highlights of the Month

Industry 4.0 and predictive maintenance, how it works and what advantages

Blog

The need to increase competitiveness and profitability in the production process has never been more pressing.
Manufacturers are realising their need to acquire the ability to leverage digital technologies and data in order to respond more effectively and precisely to their customers’ explicit and latent needs. For their part, customers are increasingly looking for solutions, and prefer to buy results rather than products.

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The Moxoff D.A.T.A. TRAINING for TUA ASSICURAZIONI

News

To support companies in their Digital Transformation journey, we have built an online training course.

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Mathematical models to optimize process quality

Case study

Prysmian is a world leader in the production of cables applied to the energy and telecommunications sector. Our collaboration has resulted in specialized mathematical models capable of supporting Prysmian engineers in the management of production plants.

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Industry 4.0 and predictive maintenance, how it works and what advantages

Blog

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Mathematical models to optimize process quality

Case study

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Industry 4.0 and predictive maintenance, how it works and what advantages

Blog

Learn more

Clients

Experience in different sectors

Who chose us

Terna

Telco & Utilities

The project resulted in an algorithm capable of producing accurate forecasts that support operators in making timely and effective decisions for network management.

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Edison

Telco & Utilities

For Edison we have created a gas demand forecasting model, based on machine learning, neural networks and ensemble techniques, capable of predicting customer consumption in detail, enabling better portfolio management.

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Prysmian

Manufacturing

From the project created to monitor production lines and machinery in real time, a web application was created that can support Prysmian engineers in the management of production plants.

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Mission Bambini

Other

With the participation of non-profit organizations, we have created a web platform that uses sophisticated data mining techniques to offer a quick and concise view of donations and fundraising campaigns.

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Terna

Telco & Utilities

The project resulted in an algorithm capable of producing accurate forecasts that support operators in making timely and effective decisions for network management.

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Edison

Telco & Utilities

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Prysmian

Manufacturing

From the project created to monitor production lines and machinery in real time, a web application was created that can support Prysmian engineers in the management of production plants.

More Info