Zorost Intelligence builds production-grade machine learning and deep learning systems designed for mission-critical, domain-sensitive use cases. From aviation safety forecasting to defense risk modeling and smart infrastructure planning, we deliver intelligent systems that learn, adapt, and act in real-time.
We specialize in advanced supervised, unsupervised, and reinforcement learning frameworks—with pipelines powered by Databricks, Azure ML, SageMaker, and hybrid edge-cloud inference architectures.
What We Deliver:
Model Design & Custom Training
Build and fine-tune models using regression, classification, anomaly detection, time-series forecasting, NLP, and image-based neural nets (CNNs, ViTs, RNNs).Large-Scale Data Processing
Use Apache Spark, Delta Live Tables (DLT), AWS Glue, and Microsoft Fabric to power high-volume ETL, feature generation, and model-ready preprocessing pipelines.Real-Time ML Inference
Enable low-latency predictions on telemetry, sensor, or user input streams using AWS SageMaker Endpoints, Azure ML Real-Time Scoring, and Kubernetes-deployed models.MLOps & Lifecycle Management
Implement MLFlow, Azure Machine Learning Studio, or SageMaker Pipelines to manage versioning, retraining, lineage, explainability, and drift monitoring.Neural Networks & Deep Learning Architectures
Train custom CNNs, transformers, LSTMs, and autoencoders using PyTorch, TensorFlow, Hugging Face, and JAX across multimodal datasets (text, imagery, time series).AI-Powered Recommendation & Personalization Systems
Deploy personalized interfaces and alerts using collaborative filtering, sequence modeling, and hybrid deep recommender systems.
Zorost’s Edge:
Unified AI Stack Expertise:
From data engineering (DLT, Spark, Unity Catalog) to deployment (SageMaker, Azure Fabric), we handle every layer of the ML lifecycle.Domain-Aware Feature Engineering:
Embed aviation telemetry, GIS elevation models, or mission-specific signals into model training—leveraging SME-informed feature design.Secure & Compliant Deployment:
Deliver FedRAMP-, HIPAA-, and DoD-aligned model infrastructures with explainability, auditability, and rollback tooling.Multimodal AI Systems:
Fuse text, satellite imagery, audio, radar, and time-series into cohesive models that reason across formats—enabling rich, context-driven predictions.
Flight delay prediction, aircraft system monitoring, safety analytics, and predictive maintenance models tailored to telemetry feeds.
Threat detection, mission planning optimization, and autonomous decision systems trained on geospatial + strategic data.
Medical imaging AI, patient outcome prediction, drug response modeling, and diagnostic support systems.
Demand prediction, traffic flow optimization, and real-time routing using spatiotemporal ML models.
