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Process Innovation with e-Novia: turning operations into scalable performance

We work alongside companies to rethink their production and operational processes, integrating engineering, automation and AI to achieve measurable gains in efficiency, quality and responsiveness.

Process Innovation with e-Novia: turning operations into scalable performance

At e-Novia we help companies improve how their operations work.
Through Process Innovation we support industrial players in making their processes more efficient, more reliable and easier to control.

We combine engineering consultancy, automation and AI to generate measurable results, starting from the systems and machines you already have.

Process Innovation is a complex challenge for many companies

Organizations across industries are under pressure to modernize. Yet transforming day-to-day operations into a competitive advantage is complex.
In our work with manufacturers, infrastructure players and technology-driven industries, we repeatedly see the same barriers:

  • processes built on legacy systems and fragmented workflows
  • abundant data but little ability to interpret or act on it
  • difficulty integrating automation and AI in operational routines
  • dependence on a small circle of experts and loss of tacit knowledge
  • limited internal bandwidth to run structured, cross-functional programs

This is precisely where Process Innovation creates value: by reshaping how decisions are made, how workflows operate and how technology supports people across the organization.

Process Innovation is a complex challenge for many companies

In a rapidly evolving environment, many organizations know they need to modernize their processes—but struggle to turn this intention into concrete initiatives. The most common obstacles include:

  • fragmented workflows built on legacy systems and hard-to-use data

  • difficulty introducing automation and AI into existing operations

  • internal resistance, generational transitions and limited capabilities to drive structured transformation

The result? Reduced efficiency, time spent on low-value activities, pressure on margins and missed opportunities for growth.

We work alongside you with an end-to-end innovation consulting service that integrates:

AI Strategy & Enablement

We help you identify and implement the most suitable artificial intelligence for your context, with a focus on automation, optimization, and decision support.

Custom IoT Platform

Scalable solutions for connecting plants, assets, and sensors. Edge-ready architecture designed to collect and analyze real-time data.

Engineering Consulting

We co-design the solution with you, from concept through to implementation, leveraging expertise in embedded AI, sensor systems, mechatronics, and industrial design.

Discover Physical AI solutions for Process Innovation

Our expertise in Physical AI allows us to accelerate industrial process innovation through dedicated solution modules.
Innovazione di processo per le aziende che generano grandi volumi di dati dai propri impianti e che vorrebbero sfruttarli a pieno
Turning industrial data into actionable insight
Ideal for:
Companies generating high volumes of data but lacking the ability to interpret, correlate or transform it into value.
What we deliver:
  • Assessment of the quality and structure of existing data
  • Advanced algorithmic analysis
  • Pattern recognition, anomalies and hidden correlations
  • Construction of predictive models and decision-support systems
Value for the business:
  • From data to movement: Minimise the risks of AI implementation and launch successful projects by gaining solid knowledge of processes.
  • From data to information: extracting real value from investment in Industry 4.0
  • From data to prediction: Identify hidden signals and causal relationships in complex data sets, enabling savings in machine downtime and poor quality.
  • From data to decision: Use the results of the analysis to make informed decisions and, if necessary, develop algorithmic decision support systems as a next step.
Machinery-Co-Pilot-1
Your "augmented" operator, for smarter production
Ideal for:
Production managers and operations managers seeking to increase efficiency and quality while reducing errors and dependence on experienced operators.
What we deliver:
  • AI analysis to correlate data extracted from the machine, control parameters and qualitative outputs
  • Integration of sensors and real-time data collection
  • Intelligent interfaces to support operators during production
  • Possibility of closing the loop by automatically correcting the control parameters
Benefici:
  • For producers: Greater awareness of the impact of parameters on the final result
  • For B2B operators: Better control in quality-critical processes
  • For teams: Support for less experienced technicians to avoid errors
  • For businesses: Towards decision-making and adaptive automation of the production line
Experiment-Forecasting-1
Intelligent acceleration of R&D processes
Ideal for:
R&D Teams carrying out multiple experimental loops and high cost of testing.
What we deliver:
  • Integration of data from PLCs, laboratory systems and spreadsheets
  • Sensor fusion and predictive modelling
  • Experiment prioritization and early-failure detection
Value for the business:
  • Intelligent prioritisation:Decision-making model to focus on experiments with the highest probability of success
  • Accelerated time-to-market: Timely discontinuation of less promising experiments and reduction of testing cycles
  • Time and material savings: Optimisation of laboratory resources in terms of consumables, machines and test cells

The e-Novia Method: clarity and execution in Process Innovation

e-Novia’s approach to Process Innovation combines operational analysis, systems engineering and advanced technologies such as AI.

We support companies throughout the entire journey—from mapping inefficiencies to validating new production and organizational models.

Every Process Innovation project begins with an in-depth analysis of workflows, resources and bottlenecks.

We identify where technology can generate the greatest impact and define objectives and KPIs aligned with the company’s overall strategy.

Once priorities and needs are clear, we assess the technologies that can best support process optimization: AI, sensing, automation, digital twins and predictive analytics.

Our Process Innovation Consulting helps companies transform opportunities into actionable initiatives, supported by feasibility analyses and sustainable implementation roadmaps.

We adopt an iterative approach: we run small-scale tests, measure results and refine solutions continuously.

Through co-design with internal teams, we validate the technical and organizational robustness of each solution—encouraging knowledge transfer and building long-term internal capabilities.

After validation, we support the company in integrating new processes into day-to-day operations.

Together, we define timelines, roles and partners, ensuring alignment across technology, people and business objectives.
The goal is to make innovation a stable, safe and measurable part of the production system.
Some of our projects
Machinery-Co-Pilot

Machinery Co-Pilot

AI-powered Decision Support System that translates machine data into real-time quality actions, combining sensor inputs to detect weak signals of non-quality and guide operators with predictive alerts.
IntelliOp-scaled

IntelliOp

AI system for machining processes that analyzes vibrations and cutting parameters in real time, reducing surface defects and optimizing tool life.

Consulenza per l’Innovazione di Prodotto e soluzioni di design e ingegneria integrate con intelligenza artificiale.

SRv3

A digital co-worker that uses sensors and 3D vision to work alongside manual operators, helping improve manual tasks, reduce mistakes, and increase both quality and productivity
Experiment-Forecasting

Experiment Kill-Switch

Integrated AI platform that combines predictive forecasting, virtual experimentation, and a scientific assistant to speed up the development of new electrodes and formulations.
Energy-Consumption-Analysis-scaled

Energy Consumption Analysis

An industrial plant aimed to optimize its energy consumption, and through data mining, we identified the key parameters to target.
instafactory-mutti-card

InstaFactory

A mobile production plant that brings processing directly to the field, reducing the time between harvesting and packaging for products that are always fresh and sustainable.

Why choose e-Novia?

Our multidisciplinary team brings together deep vertical expertise and end-to-end execution capabilities to support your organization at every stage of the innovation journey.

We structure our competencies into dedicated Impact Streams, ensuring a seamless path from opportunity identification to scalable solutions.

Innovation

Identify and evaluate new growth opportunities
Market Research
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Technology Landscaping & Scouting
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Value Proposition
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IP understanding
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Concept Design-Product & Service
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Business Model
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Design & Engineering

From concept to market-ready prototype
Industrial & Digital Design
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AI tool Development
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Hardware
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Software
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Mechanics
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Automation & Control
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Prototyping & Validation
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Your gateway to Innovation.

Tell us what you want to achieve or what you aim to explore. We’ll respond promptly with guidance shaped around your business priorities.

Domande Frequenti

Process Innovation is the way an organization redesigns its operational activities to achieve measurable gains in efficiency, quality and responsiveness to the market.

It goes beyond digitizing what already exists. It means rethinking workflows, roles and decision-making to reduce waste, variability and dependence on a few “key experts.”

As both a venture studio and a consulting firm, e-Novia helps companies turn core processes into growth platforms: we connect machines and data, introduce AI and automation where they create the most impact, and unlock new business opportunities starting from what already exists.

Continuous improvement focuses on small, incremental steps—it optimizes what already works by eliminating waste and obvious inefficiencies.

Process Innovation becomes necessary when incremental changes are no longer enough.

It redesigns how production, planning and decisions work by introducing data-driven logic, advanced automation and artificial intelligence to unlock step-change performance (e.g., lead time, OEE, quality, cost).

At e-Novia, we support companies on two levels:
• stabilizing and improving existing processes
• radically rethinking areas where the current model can no longer meet business goals

A solid project starts with a few essential questions:
Where is the highest economic impact today? How can we measure it?

Typically, the journey includes:

1. Diagnosis and mapping of workflows through data analysis and on-site observation
2. Definition of intervention hypotheses, with early business cases
3. Rapid experimentation (pilot) with a limited scope and clear KPIs (e.g., fewer defects, higher productivity, reduced downtime)
4. Validation and scalability, extending only the solutions that show a positive ROI

e-Novia uses an iterative, multidisciplinary approach—integrating engineering, data science and AI while keeping impacts on production, people and economics under tight control.

AI creates value only when it is embedded into real operations, not when it remains a lab PoC.

In Process Innovation projects, AI can:

• anticipate failures and anomalies to reduce unplanned downtime
• suggest optimal setup parameters to cut defects and rework
• support operators’ decisions, reducing variability between shifts and sites
• optimize use of materials, energy and resources

At e-Novia, we apply these technologies in both consulting projects and venture-building initiatives that have led to companies like Blimp, Smart Robots and Huxelerate.
This dual experience—as consultants and as a Venture Studio—allows us to deliver solutions that are already validated in real industrial environments.

A reliable partner must bring together three elements:

1. Strategic vision: understanding your industrial goals, constraints and priorities
2. Technical depth: the ability to work on machines, data, software and organization without disrupting operations
3. Proven field experience: concrete cases where process innovation has generated verifiable economic results

e-Novia offers:

• a multidisciplinary team of engineers, designers, data scientists and specialist profiles
• over 75 patents and more than 10 years of experience in industrial innovation
• an ecosystem of institutions, investors and industry partners that accelerates execution and enables new business models when needed

In short: a pragmatic, collaborative and measurable journey.

• upfront alignment on objectives, scope and success criteria
• joint work with internal teams to design solutions that remain sustainable over time
• fast pilots with clear expected returns and structured decisions on what to scale, refine or stop

As a venture studio, e-Novia is used to turning ideas into scalable products and processes.
The experience gained with startups like Yape, Blimp and Smart Robots allows us to transfer validated methods to companies aiming for structural—not episodic—growth.

Not necessarily. Before considering expensive replacements, we assess what can be enhanced:

• existing machinery with additional sensors
• current systems that are not well integrated
• available data that is not used systematically

Most companies can innovate by building on their current infrastructure.
Targeted integrations, AI and structured data collection allow improvements without stopping production.

Other Innovation Paths for Your Business

A Proven Method to Drive Innovation with Consistency

Breakthrough ideas don’t happen by chance, they come from a structured, repeatable approach.

Transform Your Ideas Into Products That Change the Market

We help companies accelerate product development with Physical AI, creating solutions that stand out and scale.