André JOLY, Author at Turn Voice-AI into actions !

The construction of the European industry starts now!

The European Commission published its calls for proposals for Cluster 4 of the Horizon Europe program on Thursday, December 11, 2025.

SPIX industry is preparing its contribution to several industrial themes, or ” how to make voice AI solutions operational in industry “!

SPIX industry and European objectives

A few excerpts from the introduction can help us to understand the stakes of the 2026-2027 calls for projects of Cluster 4 for Europe and how SPIX’s voice AI solutions fit fully into this strategy.

Progress in digital and industrial technologies, including in space, shapes all sectors of the economy and society. These technologies transform the way industry develops, create new products and services, and are central to any sustainable future. Research and innovation to support the green and digital transition , and achieve and maintain strategic capacities such Access to Space or Act in Space, are a key to Europe's competitiveness and open strategic autonomy, to industrial sustainability and to setting human-centered standards (page 7).

SPIX’s voice AI solutions are dedicated to improving industrial performance by fundamentally transforming access to digital technology for field operations . This is the missing link needed to fully realize the true benefits of digital transformation in industry.
Industry in Europe will not develop without the men and women who work to improve production, maintenance, and quality processes. The vision of a 100% automated industry is now obsolete; the attractiveness of industrial jobs is becoming a real issue. SPIX’s voice AI solutions create a link between humans and complex industrial systems , in a human-centric approach.

Resilience and technological sovereignty have become renewed priorities for the EU due to the current geopolitical and economic context that exposed vulnerabilities in critical value chains (page 7).

SPIX places sovereignty issues at the heart of its development strategy . This approach resonates anew in the current European context.
With the data sovereignty solutions developed by SPIX, it is possible to guarantee the confidentiality of the industrial data being handled. What does confidentiality mean? In very concrete terms today: it means guaranteeing the immunity of industrial data from the American Patriot Act and Cloud Act.
On these two issues, the providers AWS, Google, Plaud, Azure, Copilote, OpenAI and others are not sovereign, and cannot claim their independence from the laws of their country of origin.

It will for example boost Europe leadership and competitiveness on Artificial Intelligence innovation (AI), in line with the Apply AI Strategy, and leading the way on making AI safer and more trustworthy, and on tackling the risks stemming from its misuse. Similarly, it will ease the exploitation of untapped data potential while promoting high standards of data protection (page 7).

Europe is placing AI developments at the heart of issues of competitiveness , trust and performance, in total agreement with SPIX’s value proposition.
In addition to arguments of sovereignty and independence from certain extraterritorial laws, SPIX has been positioning itself for several years on simplifying access to complex systems and data through the use of voice assistance for operators.

So what exactly do we do?

In concrete terms, industrial synergies are being built around these calls for projects. Let’s take two examples from cluster 4 projects to illustrate the potential added value of SPIX’s voice AI solutions in the proposed industrial projects.

HORIZON-CL4-2027-02-DIGITAL-EMERGING-52-two-stage: New approaches for Human/AI collaboration for the workforce of the future (page 182) The expected outcomes are [related to the transformation of industrial jobs] through AI-based human-machine interactions (and skills linked to them) which enhance flexibility, inclusion, well-being, up-skilling, career evolution and knowledge sharing; AI has a great potential to make task simpler by reducing the complexity offering intuitive interfaces and real-time feedback allowing workforce to be more efficient and effective while facilitating access to more complex tasks including those involving various forms of planning.

Industrial systems are becoming increasingly complex for field operators, and digital transformation has not always brought the expected simplification. It is therefore essential to change the game with radically different human-system interfaces.

SPIX’s voice AI solutions enable industrial operators to interact naturally, using voice, with a wide range of digital systems. This type of interface allows them to keep their hands free, allowing them to focus their eyes on safety and the tasks at hand. SPIX’s intelligent assistance features provide the contextual support operators need to ensure quality, versatility, and even skills development on the job.

SPIX brings natural voice interfaces to industrial projects, ensuring access to complex systems for industry operators. SPIX’s voice AI solutions are operational in complex environments with noise, security, and network outages.

DIGITAL-EMERGING-09: Advanced Local Digital Twins using AI for Early Warning and Preparedness (IA) Open AI models that can help predict, respond to, and mitigate impacts before a disaster occurs, enabling proactive decision-making and effective disaster management effectively (page 158) The Local Digital Twins will enable […] interactive user interfaces that allow components to be exchanged, modified, and reconfigured […]

When a natural disaster strikes, mission preparation and local knowledge are essential. The idea of a Digital Twin and innovative AI models for simulations is compelling. However, we know that a Digital Twin suffers from its own obsolescence from the moment it’s developed. Updating this data remains costly and time-consuming… unless we rely on the men and women on the ground!

In line with the “human-centric” theme, SPIX’s voice AI solutions enable field operators to provide relevant and structured information by voice to update Digital Twin data in real time.

SPIX provides Digital Twin projects with the essential link between models, technology, and the humans involved in their use. SPIX’s voice AI solutions are operational in complex environments with noise, security, and no network coverage.

The era of natural interfaces is coming!

The European Horizon Europe projects offer a glimpse into the state of innovation in industry. This new round of calls for proposals for 2026 confirms SPIX industry’s strategy, which focuses on implementing voice-based AI solutions to simplify access to complex systems for men and women in industry.

So let’s go, let’s build together the European projects that will allow European industry to remain competitive and attractive.

Point of contact
André JOLY – Managing Director
Tel.: +33 (0)6 25 17 27 94
Email: andre.joly (at) spix-industry.com

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“Voice Experience “, ” SPIX ” and ” SPIX industry ” are registered trademarks of Simsoft3D SAS.

The medical field is teaching the industry lessons in innovation!

The medical sources cited are from an article in UsineDigitale : “From digital dictation to ambient AI: How medicine is discovering the promises and limitations of generative voice assistants.”

Download the article in PDF format

The healthcare sector is massively adopting generative voice AI solutions and identifying unprecedented gains. These gains are human, financial, and related to the reliability of the data processed.

This news from the health sector validates the strategy of SPIX industry (specialist in generative voice AI for industry) in partnership with Zenidoc (specialist in generative voice AI for health).

In this article, SPIX industry offers a forward-looking overview of the findings made in the healthcare sector and how the industry could draw inspiration from them to accelerate its adoption of generative voice AI solutions for the benefit of these business processes.

The observation

The observation is undeniable: the healthcare sector is far ahead in the adoption and use of generative voice AI solutions.

According to the French Hospital Federation , ” 65% of hospitals already use at least one artificial intelligence solution in production. Document writing and report management are among the primary use cases. ” The industry is therefore very behind in this area, and yet, the writing of inspection reports, quality control reports, and project progress meeting reports should be among the first industrial use cases to be deployed without delay.

This advancement in healthcare is also linked to the growing awareness among stakeholders of the revolutionary potential of the “generative” component of voice AI solutions. According to UsineDigitale , ” where digital dictation delivered raw text requiring review, generative AI delivers a nearly finalized document, which the physician simply needs to validate .” This revolution, driven by the generative component, empowers healthcare professionals and eliminates the frustrations associated with errors and the lack of synthesis inherent in pure speech recognition. In the industrial sector, speech recognition solutions have long been criticized for their impracticality. It’s time for the industry to reconsider its position on this issue!

The industry remains wary of hallucinations from generative AI solutions. Yet the healthcare sector is critical! The French Hospital Federation (FHF) reported error rates of 1.5% for hallucinations and 3.5% for omissions in a 2024 study. Are we certain that an industry professional would have lower error rates when writing a report? And even if they did, the FHF clarifies: ” Even with only 1% errors, careful professional review is necessary before validation.” “. For SPIX industry , the validation step by the industrial operator is essential, for several reasons:

Maintaining operator competence , especially among new generations.
Empower the operator to validate the content of their report.
Promote communication between operators at the time of the report’s release.

In short, everything is in place for the industry to massively adopt generative voice AI solutions. The healthcare sector has even validated the benefits associated with these technologies.

The benefits

Industry has two obsessions: ” increasing metal time ” and ” ensuring end-to-end digital continuity ” of processes. The healthcare sector has demonstrated that the widespread deployment of generative voice AI solutions can achieve significant benefits in both areas.

For the French Hospital Federation , ” these technologies represent a potential lever for freeing up medical time and reducing administrative burdens.” ” If we replace ” “Medical time ” versus “ metal time “… we’re not far from the holy grail sought by manufacturers!

Doctolib goes further and quantifies the benefits its clients have seen from using generative voice AI: “50% less screen time per day, an average of two hours saved, and five times more documented files.” What industrialist hasn’t dreamed of having truly documented field intervention reports, and not just “Nothing to report” in the comments section? Companies in the energy, chemical, and defense sectors are striving for “zero defects” and “100% traceability.” Wouldn’t the widespread deployment of voice and voice assistant technology with generative voice AI solutions solve this problem quickly?

Finally, let’s not forget human communication, a fundamental aspect of many activities. In the healthcare sector, Doctolib reports that ” the most common feedback we receive is: ‘I rediscovered my patients’ faces,’ or conversely, ‘patients say I finally know my doctor’s eye color.'” ” Could generative AI voice solutions bring about a revival of communication between industry professionals? Who hasn’t experienced technical meetings where participants are glued to their screens, focused on taking notes, and not on communicating with each other?

The benefits of generative voice AI solutions are therefore clearly identified. They are distinct from and complementary to those linked to digitalization, as is often believed.

So now, how do we get into the industry, and why?

The outlook

From Google to Meta and OpenAI , the major players in tech regularly predict the end of screens and a new reign of spoken language. The question is how to achieve this in industrial sectors where everything is complex. Would it be simpler in healthcare? Not necessarily, and yet this sector is ahead of industry.

For the young healthcare company Medadom , ” Eventually, all doctors will have an assistant by their side. It’s a necessary step, just like the computerized medical record was in its time. “. The parallel with the digital transformation of industry is clear. As digital systems become increasingly complex, all industrial operators will need an assistant to generate or access information simply and efficiently. The digital transformation of industry is underway, and some processes are more difficult to digitize than others. For example, field operators in quality control, inspection, or maintenance processes still struggle to use digital tools. Generative voice AI solutions free up their hands and eyes, allowing them to focus their attention on the tasks at hand.

Looking further ahead, and considering the new generations who will come to work in industry, the healthcare sector also offers opportunities. Doctolib specifies that AI will profoundly transform the way we practice medicine. The consultation assistant is just the first step. Medical knowledge doubles every five years, and AI can make this data even more accessible. ” This observation also holds true for industry. How can we quickly upskill new employees on increasingly complex or critical industrial processes? How can we make increasingly rich, and sometimes outdated, documentation accessible on long-life installations? At the same time, we already know that younger generations will no longer be willing to spend hours reading technical documents to find the answer to their questions. Generative voice AI solutions could resolve this situation if they are deployed on a large scale across all processes.

Finally, the industry is hesitant regarding the security and confidentiality of data associated with its critical processes. Once again, the healthcare sector, which manages highly confidential data, has taken the lead on this issue. The French Hospital Federation is considering the necessary steps to address the deployment of generative voice AI solutions. It specifies that ” the framework for evaluating healthcare AI should be structured around three pillars: systematic medical validation, auditability of models and data sources, and transparency regarding the infrastructure used, particularly concerning the hosting of health data .”

For SPIX industry , these three points can be translated for the industry as follows:

Validation of LLM (or SLM for embedded systems) model results by industry experts is essential to ensure the reliability of information exchanged between the operator and a generative voice AI system. SPIX industry has the skills and resources to perform this validation for each manufacturer, confidentially and without cross-referencing data between manufacturers.
Models must be sovereign , resource-efficient, and locally controlled. Several technologies exist today for implementing generative voice AI solutions for industry. The key challenges now are to control their implementation in sometimes complex industrial environments, ensure the sovereignty of the models used, reduce dependence on potentially intrusive actors, and limit the dissemination of manipulated data on uncontrolled servers. SPIX industry has mastered all these aspects to meet the requirements of critical industries such as energy, chemicals, and defense.
To ensure data confidentiality and service reliability in any industrial environment, the models must run on internal company servers (on-premises) or in offline embedded mode . All SPIX industry generative speech AI models are operational offline, in offline embedded mode, or on-premises when a connection to internal company servers is possible, to ensure service reliability and data confidentiality in any context.

Conclusion

Today, the healthcare sector is leveraging the full range of generative voice AI solutions to optimize medical time, improve the patient-physician relationship, and ensure the transmission of high-quality information. The deployment of these technologies has been achieved despite the complexity associated with the highly confidential nature of the health data handled.

Why is the spread of this type of approach not yet a reality in industry? Yet, some critical industries share many points with the healthcare sector: complex processes, confidential data, a requirement for total traceability, etc. Three reasons can be put forward: 1- the medical field has been using voice (dictaphones, voice dictation solutions) for more than a decade and therefore has a fairly long feedback loop, 2- major tech players ( Nuance/Microsoft, Doctolib for example ) have massively invested in this area for healthcare, 3- the scarcity of human resources in the healthcare sector creates a requirement to optimize medical time.

In summary, the industry is 10 years behind the healthcare sector in the use and deployment of voice AI solutions for process optimization. It’s never too late to catch up! Adding the “generative” component will undoubtedly allow this gap to be closed quickly and industrial processes to be optimized with operational generative voice AI solutions.