{"id":3386,"date":"2026-04-01T17:44:02","date_gmt":"2026-04-01T15:44:02","guid":{"rendered":"https:\/\/www.574invest.com\/?p=3386"},"modified":"2026-04-01T17:44:02","modified_gmt":"2026-04-01T15:44:02","slug":"sncf-strengthens-the-reliability-of-its-ai-systems-with-the-startup-numalis","status":"publish","type":"post","link":"https:\/\/www.574invest.com\/en\/sncf-strengthens-the-reliability-of-its-ai-systems-with-the-startup-numalis\/","title":{"rendered":"SNCF strengthens the reliability of its AI systems with the startup Numalis"},"content":{"rendered":"[vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]As artificial intelligence becomes widespread across all sectors, certifying it for safety\u2011critical systems remains a major challenge. The SNCF Group, through its investment arm 574 Invest, has just reaffirmed its support for Numalis, a French startup capable of mathematically \u201cproving\u201d the reliability of algorithms. This long\u2011standing collaboration is transforming AI into a secure industrial tool.<\/strong><\/p>\n
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 <\/p>\n<\/div>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][image_with_animation image_url=”3387″ image_size=”full” max_width=”100%” max_width_mobile=”default” animation_type=”entrance” animation=”None” animation_movement_type=”transform_y” hover_animation=”none” alignment=”” border_radius=”none” box_shadow=”none” image_loading=”default”][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]In the railway world, safety is not an option, it is a sine qua non<\/em> condition. While artificial intelligence is helping advance technologies related to automation projects or driver\u2011assistance systems<\/a>, it still faces a major obstacle: the \u201cblack box\u201d effect. How can we guarantee that a vision algorithm won\u2019t mistake the moon for an orange signal, or that it won\u2019t be fooled by a single modified pixel?<\/p>\n

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It is to address this crucial question that the Group\u2019s Technology, Innovation and Projects Department has been collaborating with Numalis<\/a> for nearly seven years, a Deeptech based in Montpellier (France).<\/p>\n<\/div>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]From defense to rail: the origin of a meeting<\/strong><\/p>\n

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It all began during a \u00abspeed\u2011dating\u00bb event organized by the French Defence Procurement Agency (DGA). Cyril Cappi, technology risk strategy expert at SNCF, discovered Numalis there. At the time, the startup was working on classified defense programs to ensure missile reliability.<\/p>\n

\u00ab I immediately saw this company\u2019s potential to help answer our questions about train autonomy. Because while vision\u2011based AI (deep learning) is powerful, it is inherently inexplicable. For an airplane or a train, this opacity is incompatible with safety standards.\u00bb \u2013 Cyril Cappi, technology risk strategy expert at SNCF Group<\/em><\/p>\n<\/div>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]A new logic<\/strong><\/p>\n

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With machine learning and now deep learning neural networks, AI\u2011based computer systems rely on a fundamentally different logic.<\/p>\n

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\u00abTraditional programs follow a deterministic logic: an identified situation triggers a predefined action according to pre\u2011programmed rules. With deep learning, this logic is reversed: instead of explicitly encoding rules, the model learns them from data collected in real\u2011world situations. This approach can deliver very strong performance, but it also introduces new types of errors, particularly related to operational conditions or sensor quality. The tool developed by Numalis aims to analyze the robustness of deep learning models in order to provide the safety guarantees required for their integration and certification in future onboard perception systems.\u00bb \u2013 C\u00e9drick Lelionnais, RSYS AI \u2013 R&D Vision & Audio, SNCF Voyageurs (Engineering Department)<\/em><\/p>\n<\/div>\n<\/div>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][image_with_animation image_url=”3388″ image_size=”full” max_width=”100%” max_width_mobile=”default” animation_type=”entrance” animation=”None” animation_movement_type=”transform_y” hover_animation=”none” alignment=”” border_radius=”none” box_shadow=”none” image_loading=”default”][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]Saimple: the tool that \u201cstress\u2011tests\u201d AI<\/strong><\/p>\n

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The core of Numalis\u2019 technology lies in formal methods. Unlike traditional testing, which relies on multiplying simulations of real situations, their software, called Saimple, <\/strong>uses mathematics to explore the entire field of possible scenarios.<\/p>\n

\u00abThe tool injects various types of \u201cnoise\u201d (blur, pixel modifications, Gaussian perturbations) into the AI model to verify its stability. AI is a very precise but fragile technology. A single altered pixel, invisible to the human eye, can be enough to make an AI misidentify a person. Saimple helps detect these vulnerabilities before they become critical. This is essential for safety\u2011related trust, but also extremely useful for cybersecurity sovereignty.\u00bb \u2013 Cyril Cappi, technology risk strategy expert at SNCF Group<\/em><\/p>\n<\/div>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]A concrete success: validating ERTMS onboard screens<\/strong><\/p>\n

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Far from being a purely theoretical project, the Numalis solution is already operational within the Engineering Department of SNCF Voyageurs. It has notably made it possible to automate the certification of the onboard displays of the European signaling system ERTMS.<\/p>\n

\n

Previously, humans had to manually verify that every icon and every color on the train cab displays complied with stringent standards. By entrusting this task to an AI audited by Numalis, SNCF Voyageurs not only saved valuable time but also strengthened the reliability of the process.<\/p>\n

\u00abWe discovered that certain invisible \u2018watermarks\u2019 were disrupting the AI\u2019s decisions. The Numalis solution allowed us to correct these issues.\u00bb \u2013 Cyril Cappi, technology risk strategy expert at SNCF Group<\/em><\/p>\n<\/div>\n<\/div>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][image_with_animation image_url=”3389″ image_size=”full” max_width=”100%” max_width_mobile=”default” animation_type=”entrance” animation=”None” animation_movement_type=”transform_y” hover_animation=”none” alignment=”” border_radius=”none” box_shadow=”none” image_loading=”default”][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]By supporting Numalis, the SNCF Group is not simply purchasing an \u201coff\u2011the\u2011shelf\u201d technology. It is contributing to the emergence of a global certification standard, an essential building block to ensure that, in the future, connected trains will be able to operate safely on the national rail network.<\/p>\n

\n

574 Invest and Numalis: a strategic partnership for railway innovation<\/strong><\/p>\n

\n

The investment fund 574 Invest, dedicated to startups and backed by the SNCF Group, is strengthening its commitment to the tech ecosystem by participating in Numalis\u2019 fundraising round. This initiative is part of a broader approach: since its creation, 574 Invest has benefited from the active support of all Group entities, including the Group\u2019s Technology, Innovation and Projects Department, ensuring strong alignment between its investments and the Group\u2019s strategic priorities.<\/p>\n

\u00ab This operational partnership with Numalis, followed by a minority equity stake, reflects our approach of investing where we can generate a double impact. Our ambition is clear: combine financial performance with operational value creation for the SNCF Group.\u00bb \u2013 Lucas Rudolf, Managing Director of 574 Invest\u00a0<\/em><\/p>\n

\u00ab\u00a0It is a true illustration of our DNA: identifying future French tech champions, supporting their growth, while rapidly generating operational benefits for the Group and strengthening the sovereignty of France and Europe.\u00bb \u2013 Cyril Cappi, technology risk strategy expert at SNCF Group<\/em><\/p>\n

Beyond a simple financial contribution, this commitment represents a genuine strategic choice in service of the French industrial sector.<\/p>\n

\n

As Europe deploys its AI Act, the ability to prove the ethics and robustness of systems is becoming a major competitive advantage. Numalis, whose founder, Arnault Loualalen, is the lead author of the international ISO standards on AI robustness (ISO\/IEC 24029), places France in a leading position in this emerging \u201ctrust\u201d market.<\/p>\n<\/div>\n<\/div>\n<\/div>\n[\/vc_column_text][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"

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