Aim of the study
The aim of this analysis is to provide a clear vision of the market for no-code/low-code generative AI platforms, identifying the most relevant players for businesses in 2025. The matrix aims to distinguish pioneers, mature solutions and promising new entrants, in order to help decision-makers guide their technological choices.
Selection methodology
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Mapping the players
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Identification of specialized solutions in generative AI and/or no-code.
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Inclusion of international (Databricks, Dataiku) and French/European (Zelros, Zaion, Illuin Technologies, LightOn) players.
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Relevance check: only publishers offering an integrated generative AI offering (LLM, RAG, copilots, automation) were selected.
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Sources used
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Fundraising and press releases (Crunchbase, FrenchWeb, TechCrunch).
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Official company websites.
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Specialized reports (Gartner, CB Insights, industry press).
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Check active sites for each player.
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Categorization by quadrant
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Best-in-Class AI: recognized solutions, segment leaders, global adoption (e.g. Databricks, Dataiku).
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AI Next Gen: new entrants offering disruptive innovations (Illuin, Mindflow, LightOn).
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AI Rising Stars: young players still in the development or seed phase, but with strong potential (MIA, Vectara, Nuclia Rising).
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AI Safe Bet: solid solutions, already proven in stable environments, but with a less differentiating innovation (Squirro, Dust).
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Evaluation criteria
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Maturity & adoption (X axis)
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Year of creation and fundraising.
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Number of active customers and strategic partnerships.
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Financial strength (round table, valuation).
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Capacities & robustness (Y axis)
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Technology (proprietary LLM, RAG, NLP, OCR, agents).
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Ability to integrate into IT environments (APIs, connectors, cloud).
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Security and compliance (RGPD, certifications, data governance).
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Innovation and differentiation
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Unique positioning (e.g. Zelros in insurance, Zaion in voice AI).
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Rapid adaptation to new uses (copilot integration, automation).
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Recognition by analysts and trade press.
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Results and observations
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Global leaders: Databricks and Dataiku confirm their position thanks to international adoption and considerable financing power.
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Specialized European champions: Zelros and Zaion stand out for their sector focus (insurance, banking and voice customer relations).
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The “Next Gen” innovators: Illuin, Mindflow and LightOn bring disruptive approaches, with a focus on R&D and technical specialization.
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The Rising Stars: MIA and Vectara embody the new wave, focusing on the exploration of new use cases but still in the structuring phase.
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Safe Bets: Dust and Squirro represent reliable, stable solutions that are less differentiating in terms of innovation.
| In
treprise |
Fundraising (series & amount) | Creation date | Founders / management | Type of technology (OCR, LLM, NLP, agents, etc.) | Short description | Official website |
|---|---|---|---|---|---|---|
| Zelros | Series A – 11 M USD (total ~16.5 M USD) | ~2016 | – | AI recommendations, agents, CRM integrations, NLP | AI platform for insurance / banking, intelligent assistants | https://www.zelros.com/ |
| Databricks | Several issues including Série J 10 B USD (2024) | 2013 | Ali Ghodsi, Ion Stoica, Matei Zaharia, etc. | Big Data, AI, LLM (analytics / intelligence modules) | Unified data, analytics & AI platform for the enterprise | https://www.databricks.com/ |
| Dataiku | 400 M USD (2021) + other towers | 2013 | Florian Douetteau, Clément Stenac, Marc Batty, Thomas Cabrol | Data science / ML / AI, pipeline, integration | Collaborative AI / data platform for businesses | https://www.dataiku.com/ |
| Konverso | 2 M € (2019) | 2017 | Bertrand Lafforgue, Amédée Potier | NLP, agents, RAG, tool integration | No-code AI platform for deploying business AI assistants | https://www.konverso.ai/ |
| Zaion | 11 M € (january 2025) | 2017 | Franz Fodéré | Conversational AI (ASR, NLP, voice bots) | Voice AI specialist for contact centers / customer relations | https://zaion.ai/ |
| Delos | 2.5 M € (April 2025) | 2023 | Pierre & Thibaut de la Grand’rive | Generative AI, workspace AI / OS, productivity tools | Native AI tools for productivity (summaries, doc analysis, etc.) | https://www.delosintelligence.com/ |
| Mindflow | ~€5 M (seed 2024) | 2021 | Paul-Arthur Jonville (CEO) | AI agents, orchestration, hyperautomation | GenAI / automation platform for IT & ops teams | |
| LightOn | – | 2016 | Igor Carron, Laurent Daudet, Florent Krzakala, Sylvain Gigan | LLMs, a secure generative AI platform | Paradigm” enterprise generative AI platform | https://lighton.ai/ |
| Illuin Technology | Lifting not communicated (initiated) | 2017 | Robert Vesoul | NLP, Data Science, AI, voice parsing | AI / digital solutions for businesses (NLP, AI, data) | https://www.illuin.tech/ |
| K2view | – | – | – | Data virtualization / fabric | Virtualization / data integration solution | – |
| Kore AI | – | – | – | Conversational agents, NLP | Chatbot platform / AI agents | – |
| Vectara | – | – | – | Vector search, LLM, RAG | Augmented search platform / AI + embeddings | https://vectara.com/ |
| Nuclia | – | – | – | Knowledge indexing, RAG | Search tool & conversational indexing | https://www.nuclia.com/ |
| MIA | – | – | – | AI / chat assistants | AI assistant solution | – |
| Squirro | – | – | – | Insights augmented, NLP | Augmented intelligence platform | https://www.squirro.com/ |
| Dust | – | – | – | Générative AI, platform dev | AI dev tools / AI development space | https://dust.tt/ |
| Rok AI | – | – | – | AI agents, co-pilots | AI assistant / co-pilot | – |
Conclusion
This matrix, built according to quantitative (funding, adoption, year of creation) and qualitative (technological capacity, innovation, integration) criteria, offers an up-to-date snapshot (September 2025) of the ecosystem of no-code/low-code generative AI platforms.
It enables decision-makers to identify :
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Strategic partners for immediate deployment (Best-in-Class).
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Betting on the future (Next Gen and Rising Stars).
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Stable solutions for securing established use cases (Safe Bet).
