We design and deploy custom neural networks and machine learning infrastructure for complex enterprise workloads. From predictive modeling to computer vision, our systems are built for accuracy and scale.
Deploying production-grade machine learning models into your existing tech stack.
Fine-tuning and deployment of open-source models on dedicated hardware. We build secure, private inference endpoints tailored to your proprietary data.
End-to-end vision systems utilizing TensorRT. Engineered for high-throughput defect detection, real-time tracking, and automated visual analysis.
Statistical and deep learning models designed for time-series forecasting. We manage data ingestion, model training, and continuous deployment workflows.
Vector database integration and semantic search pipelines to connect LLMs securely with your internal documents and enterprise knowledge bases.
Multi-agent architectures capable of reasoning, tool use, and executing complex workflows autonomously within your business logic.
Robust Kubernetes-based deployment for machine learning models, ensuring high availability, load balancing, and continuous monitoring metrics.
Transparent pricing for enterprise-grade machine learning deployments and private inference endpoints.
Dedicated inference API for open-source models (Llama 3, Mistral) hosted on isolated GPUs.
Domain-specific retraining of LLMs or Vision models using your proprietary corporate data.
End-to-end deployment of real-time object detection or defect analysis systems.
Connect LLMs to your private databases with secure vector search pipelines.
Secure audio transcription and synthesis using Whisper architectures.