Our latest research, accepted at NeurIPS UniReps Workshop, shows DocQIR-Emb delivering more than 40% accuracy gains in retrieving charts and tables across five languages. With this breakthrough, global enterprises can finally unlock knowledge hidden in complex documents, outperforming state-of-the-art models.

Only 5% of GenAI projects succeed in production. Why? Because most enterprises are using pre-2020s tools to solve 2030s problems. This blog breaks down where the real bottlenecks are – and how Autonomous Data Perception, powered by Articul8’s self-evolving hybrid graph + vector architecture, can unlock real-time ROI at scale.

Articul8's Domain-specific Models Crush OpenAI's OSS Models Across Key Benchmarks

New OpenAI open-weight models dropped. Within 24 hours, Articul8’s tailored GenAI models outperformed them across multiple real-world benchmarks—proving that in high-stakes domains, specialization beats generalization every time.