The premier R&D lab for Volumetric AI and Spatial Computing. We give machines the ability to deeply understand and predict the physical world.
Core Methodology
Every engagement follows our three-phase framework — from raw sensor data to actionable insight.
We transform raw physical data — from LiDAR, photogrammetry, and structured light — into high-fidelity, semantic digital twins that accurately represent the real world.
Beyond static models, we build physics-based generative environments. We simulate material stress, fluid dynamics, and human movement to create functional digital replicas.
Our proprietary Computer Vision pipelines extract actionable business logic. We automate defect detection, volumetric measurements, and semantic segmentation with sub-millimeter precision.
Industry Verticals
Technical excellence deployed across the highest-stakes industries in the world.
Our AI-driven 3D inspection systems compare manufactured parts against CAD masters in real-time. We identify surface deviations as small as 0.1mm, eliminating scrap and reducing warranty claims in complex geometric verification.
Defect Detection
Our deep learning models automatically identify and segment architectural elements — pipes, HVAC, structural beams — from raw point clouds. We accelerate BIM-compliant digital asset creation by up to 70%.
Scan-to-BIM
We leverage high-resolution surface scanning for objective medical assessments. Our algorithms track dermatological lesion volumes over time and analyze musculoskeletal posture for quantitative clinical data.
Non-Invasive
We build advanced physics engines for realistic cloth draping and fluid simulation, enabling virtual try-ons that accurately respect the actual material properties of the product for next-generation e-commerce.
Physics SimThe Engine Room
State-of-the-art algorithms for volumetric processing, built for production-grade deployment.
Our SLAM implementations achieve sub-centimeter drift in massive industrial environments, turning consumer hardware like the iPad Pro into professional-grade surveying tools.
We're at the forefront of 3D Gaussian Splatting and Neural Radiance Fields — reconstructing photorealistic 3D scenes from a limited photo set for real-time rendering of complex environments.
Deep learning pipelines that understand the semantic meaning of 3D geometry — enabling automated classification, segmentation, and measurement at industrial scale.
Beyond static representations, we simulate physical behavior — stress, dynamics, and motion — creating functional replicas that respond to real-world conditions.
Capability Depth
Industry Footprint
Your R&D Workbench
Bridging the gap between research and production deployment.
We analyze your use case to determine the optimal sensor-AI configuration before a single line of production code is written.
We build proprietary 3D/AI modules that your team can integrate directly into your existing software stack with clear APIs and documentation.
We refine existing computer vision models to run faster, more accurately, and on lower-power edge hardware without sacrificing output quality.
The Yerevan Hub
Based in the heart of Yerevan, Armenia, 3D^AI leverages one of the world's most talented mathematics and computer science communities.
Our team consists of Ph.D. researchers and senior software architects dedicated to solving the world's hardest 3D problems. Yerevan's unique position as a rising tech powerhouse allows us to offer world-class R&D services with an agile, high-precision mindset.
Start the Loop
Ready to add a third dimension to your AI? Reach out and let's scope your project.