Our composable portfolio integrates seamlessly with existing infrastructure and spans agentic copilots, AI model platforms, computer vision, voice intelligence, and decision intelligence. Each solution can be deployed independently or combined to create a cohesive enterprise intelligence layer.
A unified control plane for data, models and agents — with end-to-end lineage, policy-grade governance and one-click deployment to any environment.
Enterprise-grade copilots for operations, sales and engineering teams — grounded in your proprietary data, governed by your policies.
Industrial defect detection, OCR, document AI and biometric verification — pre-trained models fine-tunable to your domain in hours.
Fine-tune open and frontier models on your proprietary data, evaluate against rigorous benchmarks, and deploy to production with full rollback safety.
Forecasting, anomaly detection and decision-intelligence dashboards that integrate directly with your data warehouse and reporting stack.
Real-time multilingual transcription, neural text-to-speech and voice agents that handle support, sales and operations calls at scale.
Atlas consolidates data, features, models and agents into a single governed plane — with policy controls, lineage tracking and observability built in. Consolidate five disparate tools into one durable, auditable backbone.
Our products connect through open, standards-based interfaces, deployed inside your own environment and governed to your policies. No rip-and-replace.
Deploy within your own AWS, Azure or GCP environment — your data never leaves your perimeter.
Connect to your lakehouse, warehouse and streaming pipelines through managed connectors.
Integrate with your CRM, support desk and messaging tools via secure, documented APIs.
REST, webhooks and SSO — built to slot into your existing authentication and governance.
A 30-minute working session with our solutions architects, scoped to your stack and business objectives. You will receive a written summary mapping products to outcomes within one business day.
