Build, train, and deploy machine learning models across structured and unstructured datasets.

Hanas supports full ML lifecycle orchestration, from feature engineering to model registry and monitoring.

Key Features:

🔹 Integration with MLflow, Python, Spark ML

🔹 Feature stores and reusable pipelines

🔹 Model versioning, performance tracking

🔹 Deployment via API endpoints or batch scoring

Accelerate insight generation and data interaction through GenAI-powered copilots.

Hanas enables contextual assistants for business users and data teams — enhancing search, summarization, and user queries.

Key Features:

🔹 GenAI-based data exploration (chat with your data)

🔹 Business glossary Q&A, anomaly explanation

🔹 Prompt chaining + integration with LLMs

🔹 Custom agents for internal workflows

Deliver forward-looking insights to support smarter decision-making across business processes.

Whether it's customer churn, fraud detection, or demand forecasting, Hanas enables rapid development and deployment of predictive use cases.

Key Features:

🔹 Pre-built model templates

🔹 Use-case specific scoring logic

🔹 Data drift detection and retraining triggers

🔹 Business scenario testing and simulation

Detect changes, anomalies, and business events as they happen — and trigger alerts or automated actions in real-time.

Monitor your data and business metrics continuously with intelligent alerting that reduces noise and focuses on what matters most.

Key Features:

🔹 Rule-based and statistical anomaly detection

🔹 Alert delivery via email, Slack, webhooks

🔹 Workflow integration (e.g., auto ticketing, approvals)

🔹 Dynamic thresholds and escalation policies