We’re proud to share the first performance results of NICL (Neuralk In-Context Learning), the world’s first Tabular Foundation Model specialized for Commerce — achieving strong, state-of-the-art results on real industrial use cases.
More details in the thread 👇
🚀 Meet the ai-PULSE 2025 Startups!
They’re bold, fast-moving, and building the next wave of AI innovation in Europe and we’re excited to have them as partners alongside us for this year’s edition.
Proud to introduce the startups partnering with us for ai-PULSE 2025:
Alphaguard
@ARLQ_AI
Data Machine Intelligence
@delos_so
Dessia
GENERIO
Hexagone AI
Naaia
@Neuralk_AI@OctopizeMD
PrediQT Technologies
@RyaxTech
Styly
Tender Brain
📅 See you on December 4 for a full day of talks, masterclasses, demos, and big ideas.
🔗 Sign up online or on site here: https://t.co/tJyZJslvIJ
#Startup #aiPULSE2025 #ArtificialIntelligence #AI #Innovation #SmarterFasterEverywhere #Europe
.@Neuralk_AI (startup du Microsoft GenAI Studio) lance TabBench, 1er benchmark IA tabulaire pour le commerce. NICL, son modèle entraîné sur Azure, atteint des performances à l’état de l’art sur des cas d’usage concrets en entreprise. Fiers de soutenir cette IA de terrain 🎉
Aujourd’hui, on donne la parole aux startups 🚀
On leur pose LA question ⬇️
👉 Comment l’IA booste votre capacité d’innovation ?
💡Le moins qu'on puisse dire, c'est que l'IA n'y est pas pour rien dans leur croissance !
Demain, on interroge le public sur ses usages personnels de l'IA. Restez connectés !
#VivaTech
We’re proud to share the first performance results of NICL (Neuralk In-Context Learning), the world’s first Tabular Foundation Model specialized for Commerce — achieving strong, state-of-the-art results on real industrial use cases.
More details in the thread 👇
✅ Evaluation on actual enterprise tabular data, helping teams identify what truly works in production
✅ Evaluation on OpenML
✅ Easy comparison of model performance (NICL, TabPFN, TabICL, XGBoost, and more). NICL delivers state-of-the-art results across all datasets.
Tabular AI vs. LLMs: we went head-to-head on real-world data.
We compared @MistralAI’s new LLM classifier against our in-house @Neuralk_AI tabular models on a private product categorization dataset provided by a client (35k samples, 15 categories, highly imbalanced, noisy).