Update README.md

README.md

@@ -6,15 +6,17 @@ The most influential minds in AI — from Fei-Fei Li to Yann LeCun — agree: th
 
 DreamVu's proprietary dual-stream capture system — Alia 360° omnidirectional camera + GoPro egocentric — produces synchronized ego-exo 3D training data at a scale and fidelity no one else can match. 360° depth + RGB, no blind spots, no stitching — from a single sensor protected by 32+ patents. Born from breakthrough research at IIIT Hyderabad (CVPR 2016), refined through 8+ years of production deployment.
 
-**Any environment. Any domain.** Grocery retail, warehouses, manufacturing floors, kitchens, fulfillment centers — if your Physical AI needs real-world 3D training data, we capture and deliver it.
+**Any environment. Any domain. Any modality.** Our capture platform serves the entire Physical AI stack — from world models and VLMs to VLA foundation models and sim-to-real transfer pipelines.
 
 ## What You'll Find Here
 
-🔬 **Models** — State-of-the-art Vision Language Models fine-tuned on DreamVu's dual-stream data, demonstrating ~20% improvement over baseline on NVIDIA Cosmos-Reason2 and GR00T benchmarks.
+📦 **Datasets** — We're releasing curated ego-exo datasets to fuel open research, starting with grocery retail — 500+ distinct skills annotated across shopper behavior, product interactions, restocking, shelf monitoring, and backend operations. Think of it as our ImageNet moment for Physical AI: a public benchmark the community can build on, while our full-scale capture platform serves any domain.
 
-📦 **Open Datasets** — We're releasing a curated grocery retail ego-exo dataset to fuel open research — 500+ distinct skills annotated across shopper behavior, product interactions, restocking, shelf monitoring, and backend operations. Think of it as our ImageNet moment for Physical AI: a public benchmark the community can build on, while our full-scale capture platform serves any domain.
+🔬 **Models** — Fine-tuned state-of-the-art models spanning Vision Language Models, Vision-Language-Action (VLA) foundation models, world models, and more — trained on DreamVu's dual-stream data and demonstrating measurable improvements over baselines.
 
-🚀 **Demos** — Try our fine-tuned VLMs on real retail video with live chain-of-thought reasoning.
+🌐 **World Models & Simulation** — Datasets and pipelines built for training world models that understand physics, space, and time — with native support for sim-to-real transfer through NVIDIA Isaac Sim.
+
+🚀 **Demos** — Interactive Spaces showcasing our models on real-world scenarios with chain-of-thought reasoning, spatial understanding, and action planning.
 
 ## Why We Started with Grocery
 
@@ -26,7 +28,7 @@ A grocery store contains more distinct manipulation tasks per square foot than a
 
 ## Platform Compatibility
 
-NVIDIA Isaac Sim (USD) · Hugging Face LeRobot (RLDS) · Open X-Embodiment · AGIBOT World Challenge 2026
+NVIDIA Isaac Sim (USD) · Hugging Face LeRobot (RLDS) · Open X-Embodiment · NVIDIA Cosmos · NVIDIA GR00T · AGIBOT World Challenge 2026
 
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