Rapid Prototyping & PoCs
Fast iteration on ideas with prototype models and feasibility studies so stakeholders can validate value before committing to full-scale projects.
PrototypingPoC
Trusted by clients
End-to-end machine learning services: from rapid prototyping and dataset preparation to model optimization, deployment and ongoing monitoring.
Fast iteration on ideas with prototype models and feasibility studies so stakeholders can validate value before committing to full-scale projects.
End-to-end data pipelines, scalable annotation workflows and quality controls for building high-quality training datasets (bbox, polygon, keypoints).
Tailored model architectures for computer vision, NLP, or tabular tasks, with transfer learning and hyperparameter tuning for best trade-offs between accuracy and cost.
Quantization, pruning and conversion to ONNX/TFLite/TensorRT so models run efficiently on mobile and embedded devices without sacrificing reliability.
Production-grade CI/CD for models, monitoring for drift/latency, automated retraining and observability to keep ML systems healthy at scale.
Seamless integration with your stack via REST/gRPC APIs, streaming pipelines, or on-device SDKs to meet latency, privacy, and throughput requirements.