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The fuel for AI, engineered — not scraped.
Training Data Engineering
Every model is only as good as what it learns from. We engineer the training data that physical and digital AI actually needs — generating photoreal synthetic data from real-time 3D, and collecting and labeling the real-world data that no dataset yet contains.
Synthetic
photoreal, perfectly labeled
3D‑native
rendered from real-time engines
Physical AI
data for the real world
What we build
We generate, collect and curate the data models learn from.
Our real-time 3D pipeline is a data factory: it produces photoreal scenes with perfect ground-truth labels — and we pair it with real-world collection where reality is what counts.
Synthetic
Simulation-generated datasets
Photoreal images and sequences rendered from 3D scenes — with pixel-perfect labels, segmentation and depth for free. Infinite variations of the rare cases you can’t capture in the wild.
Collection
Real-world capture & labeling
Field data collection and annotation pipelines for cases where reality is irreplaceable — structured, cleaned and ready to train on.
Digital Twins
Environment & location datasets
We reconstruct real places and objects as 3D data — building the architectural and spatial datasets physical AI needs to understand the built world.
Domain
Detection & safety datasets
Task-specific sets for the behaviors and hazards you care about — from civic monitoring to industrial safety — engineered around the exact edge cases that matter.
Why Viga
Our real-time 3D is the reason we can synthesize data others can’t.
Synthetic data is a rendering problem. Almost nobody bidding for your data work has spent two decades building photoreal, real-time graphics. We have — and that is precisely the engine that generates labeled data at scale.
01
Computer Graphics
We make photoreal imagery — the core skill behind synthetic data.
02
GPU Programming
Render millions of labeled frames without the cost blowing up.
03
Real-Time 3D
Endless variation — lighting, angle, weather, layout — on demand.
04
Training Data
That render engine, repurposed as a labeling machine.
Labels come free
Because we render the scene, we know the ground truth exactly — segmentation, depth, pose, bounding boxes generated automatically, not annotated by hand.
Physical AI, natively
3D reconstruction and spatial data are our home ground, so datasets for robotics and embodied AI are a natural extension, not a stretch.
Generate the impossible
Hazards, failures and rare events that can’t or shouldn’t be staged — produced safely and in volume inside simulation.
Synthetic + real, together
We blend rendered data with targeted real-world capture, closing the reality gap instead of pretending it isn’t there.
Our capabilities
We build the digital engines – synthetic data, immersive twins, and AI solutions for complex industries
Enterprise data intelligence
Turn scattered documents, drawings, media and logs into a governed intelligence layer your teams can query in natural language — with sourced, trustworthy answers back in seconds.
Visual Intelligence Solutions
Vision systems that find what matters in satellite feeds, camera networks and inspection footage in real time — few-shot detection, no waiting on giant labeled datasets.
Training Data Engineering
Photoreal synthetic data generated from real-time 3D, paired with real-world capture and labeling — the training data that physical and digital AI actually needs.
Got a question or idea to explore?
If you’re looking to build something new or rethink what’s possible, let’s start a conversation.
We collaborate with teams at all stages, from initial concepts to complex projects.
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