Pranaspark LLC is a stealth technology partner. We build the models, software, edge inference, and data infrastructure that brands ship under their own name — so the partner can focus on product, market, and customer.
The engineering layers we own as the technology arm of partner brands.
Model training and fine-tuning, evaluation harnesses, and production inference. Computer vision, NLP, and multimodal systems built to ship.
The full path from raw data to a model that keeps getting better — annotation and dataset curation, training and evaluation, delivery, and production maintenance. We lean heavily on data flywheels: production signal feeding back into training so models stay state-of-the-art over time, not just at launch.
Sensor fusion, real-time detection, tracking, and on-device inference for physical-AI products operating outside the lab.
Hardware-software co-design, embedded systems, and the full path from prototype to production-grade device.
Architecture decisions, AI readiness, and the build-vs-buy calls that shape what your product can become 18 months from now.
Training pipelines, model versioning, monitoring, and cloud-native deployment so models keep getting better in production.
Feasibility studies, novel-method prototypes, and the evaluation work that decides whether something is worth productionizing.
Decades of production AI and robotics experience, delivered with AI-native leverage — frontier methods at a fraction of legacy agency cost.
Real systems shipped in pick-and-place and palletizing, robot safety, the full machine-learning model lifecycle, and edge inference. ROS / ROS2 is a daily tool, not a buzzword on a slide.
We use AI aggressively in our own engineering — code generation, evaluation, simulation, content, and ops. That leverage compounds into the kind of reliability and velocity that used to require a fifteen-person team, delivered by an embedded crew at a fraction of the price.
We build with what's working at the frontier today. Diffusion policies for manipulation, vision-language-action models for embodied control, VLMs for perception and reasoning, transformers across the stack — chosen on the merits, not because they're trendy.
We embed as the technology arm of brands building physical-AI and ML-driven products. We own the stack — models, software, edge inference, data — so the partner can focus on product, market, and customer. One engagement, deeply, instead of a roster of clients.
Acting as the embedded technology team for an outdoor-sports brand: detection models, edge deployment, mobile and backend software, and the data pipeline that keeps the system improving in the field.
Technical write-ups on physical AI, edge ML, and building the partner-stack model. First posts coming soon.
If you're a brand building a physical-AI or ML-driven product and want a technology partner — not a consultant — start here.
We take on a small number of partnerships at a time. Tell us what you're building and what's in the way; we'll respond directly.