No more delays. No more stalled pilots. Just production-ready AI/ML in weeks.

Enterprise AI/ML Runtime Built for Real-World Use Case Deployment

Fragmented AI stacks, post-deployment governance, and limited runtime visibility keep enterprises stuck in pilots. The UnifyAI kernel solves this by enforcing governance and control in real time.

AI is Everywhere.
But Operational AI is Rare.

Most enterprises face the same hurdles: siloed teams, long development cycles, integration nightmares, and governance concerns. UnifyAI kernel is here to solve that – the AI/ML runtime fully equipped to help teams build, deploy, and scale faster, for real outcomes.

Go live 50% faster

Cut AI/GenAI deployment costs by up to 60%

Ensure enterprise-grade privacy, compliance and observability

Deploy across AWS, Azure, GCP, or your private cloud or on-prem

Take a lightning tour of the DSW AI/ML Runtime

Your AI foundation not just for today’s use cases, but for tomorrow’s vision.

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Supercharge Your AI /ML Use Cases

UnifyAI

Build, test, deploy, and monitor AI/ML models with lightning speed using accelerated workflows:

400+ pre-built connectors for seamless data ingestion and transformation

Real-time monitoring with performance, drift, and anomaly tracking

Core AI/ML runtime engine with built-in model selection and evaluation

One-click deployment to production environments

Unified Ops

One OS. One Centralized AI/ML ecosystem. Total Control.

Centralized observability across models and agents

Built-in compliance - ISO 42001, SOC 2, ISO 27001, HIPAA, GDPR

Full traceability with logs, alerts, and audit trails

An AI/ML runtime that seamlessly unifies data, models, workflows, and intelligent agents into a single execution layer that is purpose-built to operationalize AI at scale and consistently drive measurable business outcomes.

Hardware / Cloud Infrastructure

Servers, storage, network, accelerators

AI Fabric (Kernel-Mediated Extension & Integration Layer)

External models, LLMs, OSS, ISV tools
Accessed only via kernel-defined interfaces
No direct execution without kernel mediation

DSW Enterprise AI OS Kernel (UnifyAI Core)

Governance-as-Code (mandatory, non-bypassable)
Policy enforcement, lineage, audit, reversibility
AI lifecycle, versioning, execution contracts
Defines allowed interactions with runtimes & fabric

AI Execution Subsystems (Kernel-Controlled)

ML Runtime - inference, scoring, monitoring
Agentic Runtime - multi-agent orchestration
No execution bypasses kernel policies

Enterprise & AI Applications

Business applications, workflows, and decision systems
AI behaves as long-running production systems

Supercharge Your AI/ML Use Cases with DSW UnifyAI’s Built-In Capabilities

UnifyAI kernel operates your AI/ML runtime with advanced tools that help you move faster, reduce manual work, and stay production-ready from the start.

Capability	What it Delivers
In-built AI Studio	Fast-track AI/ML model development with auto-ML, feature engineering, and monitoring.
Prompt Hub	Create, manage, and reuse high-quality prompts for consistent GenAI agent behavior.
Data Ingestion Toolkit	Automate data prep and extraction with minimal effort.
Central Feature Store	Store, standardize, and reuse features across models and teams.
Knowledge Base Connector	Seamless integration of external/internal knowledge sources for GenAI workflows.
Auto Monitoring Engine	Real-time model and agent monitoring, performance alerts, and drift detection.
Guardrails & Controls	Role-based access, safety checks, compliance workflows built in from day one.