GammaLex
Labs
Three active initiatives building the impossible. Some are in active development, others are deployed. Each represents deep research and engineering at the frontier.
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OrenAI
Breast Imaging Intelligence
We fuse AI, AR, and Voice technologies to revolutionize early cancer detection. OrenAI moves beyond traditional radiology workflows, creating an integrated system where machine learning models analyze imaging data with unprecedented accuracy while clinicians interact through immersive augmented reality visualizations and hands-free voice commands.
Currently in active development, we're building multimodal perception systems that fuse LiDAR, thermal sensors, RGB cameras, and DICOM medical imaging. Our architecture combines Vision Transformers with CNN ensembles, targeting sub-15ms inference on edge devices for real-time clinical workflows.
We're in discussions with partner hospitals for pilot deployments. The system will provide clinicians with immersive 3D AR visualizations and hands-free voice commands, transforming how radiologists interact with medical imaging data.
We're building OrenAI using PyTorch, NVIDIA TensorRT, OpenCV, and Monai. This is deep R&D work—we're not just building a product, we're advancing the state of multimodal perception in clinical environments.
Dali Cloud Agent
Autonomous Infrastructure Control
We replace static DevOps scripts with cognitive control planes. Dali MCP introduces a new layer of abstraction for cloud infrastructure: multimodal agents that understand architectural diagrams, documentation, and intent, autonomously planning, provisioning, and optimizing resources across multi-cloud environments.
Currently in development, Dali implements agents that adhere to the Model Context Protocol (MCP) for standardized reasoning. We're building toward L4 autonomy—human-on-the-loop rather than human-in-the-loop—with agents that maintain continuous awareness across multi-region, multi-cloud infrastructure.
We're actively developing the autonomous remediation capabilities that will investigate logs, identify root causes, and execute remediation strategies. The goal is to slash mean time to recovery while reducing cloud costs through predictive resource optimization.
We're building these control planes using Kubernetes, Rust, Terraform, and LangGraph. This is foundational infrastructure work—creating systems that think, act, and adapt without constant human intervention.
Context-Aware Generative Digital Branding
AI-Accelerated Website & Brand Execution
We move beyond static templates to Generative UI—interfaces that render in real-time based on user intent and context. By combining streaming server components with fine-tuned LLMs, we create adaptive web experiences that personalize layout, copy, and product showcases instantly for every visitor while maintaining strict brand consistency.
Our systems generate content that is creative yet strictly adherent to brand voice, tone, and visual identity—enabling hyper-personalized storytelling at scale without going off-brand. We achieve this through neuro-symbolic architectures that treat brand guidelines as hard constraints, ensuring 100% brand compliance across millions of AI-generated customer touchpoints.
The result is a 2.5x increase in conversion rates for e-commerce platforms deploying our intent-based Generative UI compared to static storefronts. Average Order Value rises by 45% driven by hyper-personalized, context-aware product bundles generated in real-time.
We build these systems using React Server Components, Tailwind CSS, Framer Motion, and the Vercel AI SDK, enabling session-based personalization that feels natural, not intrusive. Layouts adapt sub-frame to match user intent while maintaining strict design system constraints.