Five engagement models

End-to-End Development
From requirement and data through model engineering, deployment and monitoring.

Dedicated Computer Vision Team
Extend your engineering capability with specialist Computer Vision resources.

Specific Technical Service
Use us for annotation, training, optimization, 3D vision, deployment or another specialist requirement.

PoC / Feasibility Development
Validate technical feasibility before making a larger investment.

Existing System Improvement
Improve an existing model or pipeline for accuracy, speed, robustness or scalability.

Detection & Recognition

YOLO · DETR · RT-DETR · DINO · Grounding DINO

Segmentation

SAM · Mask R-CNN · SegFormer · U-Net

Vision Transformers & Foundation Models

ViT · DINOv2 · CLIP · Florence · SAM

3D Vision

Point Clouds · LiDAR · Depth · Gaussian Splatting · SLAM

Multimodal AI

VLMs · Vision RAG · Visual Search · Multimodal Reasoning

Deployment

PyTorch · ONNX · TensorRT · OpenVINO · Edge · Cloud

01 — Understand
Define the business requirement and visual problem.

02 — Assess
Evaluate available data, operating conditions and constraints.

03 — Design
Select architecture, models, data strategy and deployment approach.

04 — Build
Develop and train the Computer Vision system.

05 — Validate
Measure accuracy, robustness and failure cases.

06 — Optimize
Improve accuracy, latency, memory and compute requirements.

07 — Deploy
Integrate into edge, embedded, cloud or enterprise environments.

08 — Improve
Monitor production behaviour and continuously improve the system.