Computer Vision
Research & Development

Bringing cutting-edge academic research
directly to your toughest computer vision challenges.

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Areas of Expertise

Our team combines deep research expertise with real-world impact, delivering 90% efficiency improvements in data workflows, pioneering synthetic data solutions for safety-critical applications, and solving complex recognition problems across healthcare, manufacturing, and robotics. We lead engagements from research prototyping through regulatory-grade deployment, tailoring computer vision systems to the environments where reliability is non-negotiable.

Medical Imaging

Clinical-grade perception for radiology, pathology, and surgical workflows, backed by state-of-the-art models and validated pipelines.

  • Multi-domain expertise across radiology, nuclear medicine, and digital pathology with bias monitoring.
  • Design and development of custom models from dataset curation to clinically relevant metric design.
  • Secure deployment architectures that integrate seamlessly with PACS, FHIR, and respect on-premise inference constraints

Synthetic Data

Procedural and generative pipelines that close coverage gaps while protecting sensitive assets and accelerating validation.

  • Domain-specific diffusion and NeRF stacks calibrated with physical priors and sensor characteristics.
  • Scenario search tooling to surface long-tail edge cases for autonomy, inspection, and robotics.
  • Benchmarking harnesses that mix simulated and captured data for trustworthy generalization testing.

Interactive Annotation

Human-guided labeling systems that couple expert insight with adaptive automation to compress iteration cycles.

  • Active learning queues, consensus scoring, and reviewer analytics to prioritize the highest ROI samples.
  • Embedded feedback loops that update model checkpoints and UI affordances in real time.
  • Governance dashboards capturing lineage, quality gates, and compliance-ready audit traces.

Why Choose Draupnir

We're three computer science PhD candidates with in-depth research expertise in computer vision and machine learning. Unlike traditional consulting firms, we don't just implement existing solutions – we pioneer new approaches to solve complex vision problems that require genuine research and innovation.

3
PhD-level Researchers
50+
Research Papers
95%
Annotation Efficiency
10x
Faster Training

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