Why AI Struggles in Production
Modern enterprises don't struggle with building AI models. They struggle with operating AI reliably in production:
AI stacks are fragmented across tools, models, agents, and vendors
Agentic workflows execute without runtime control
Governance exists as static policy, not enforceable logic
Auditability, ownership, and reversibility are added after deployment
These gaps don't surface during pilots, but when AI becomes operational.
From Fragmented AI to One Governed Runtime
Build a Unified AI Ecosystem
Unify models, agents, tools, and workflows under a single governed runtime designed for production-ready AI.
Replace fragmented platforms with one operational foundation that enforces control, governance, and accountability as AI runs.
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
Create Your Own AI Native Infrastructure
Deploy the Enterprise AI Operating System entirely within your environment on-prem, cloud, or hybrid.
Enterprise-grade security, control, and data sovereignty remain fully in your hands.
No Vendor Lock In
Bring your models, LLMs, tools, and data.
- Retain full ownership of source code, artifacts, and IP.
- No forced ecosystems.
- No outbound learning.
- No exit penalties.
Your AI stack evolves on your terms.
Break the Cost Per User Case barrier
Build, deploy, and operate unlimited AI and GenAI use cases without per-model, per-agent, or per-workflow pricing.
- One subscription.
- Predictable spend.
- No compounding AI costs as usage scales.
Run AI as a Core Enterprise System
Runtime Governance, Enforced by the Kernel
Governance is enforced in real time as AI executes, ensuring policies, validations, and approvals cannot be bypassed.
Agent-Safe by Design
Agentic workflows operate within enforced execution boundaries, enabling autonomy at scale with built-in guardrails.
Built-in Auditability
Every AI action is automatically logged, traced, and explainable, creating a continuous audit trail without additional tooling.
Traceability and Reversibility is Native
Traceability and reversibility are native, providing end-to-end lineage and safe rollback across AI decisions, models, and agent workflows.
Unlimited Use Cases. One Operating Foundation.
Your use cases. Your artifacts. Your control.
From BFSI to telecom, retail, and healthcare, organizations build AI and Agentic AI use cases that evolve, scale, and remain under enterprise control.
Banking and FS for AI and agentic intelligence
- KYC/AML intelligence & continuous monitoring
- Credit risk modelling & portfolio scoring
- Collections optimization & delinquency prediction
- Agentic copilots for relationship managers, ops, and compliance
- Enterprise GenAI knowledge systems for teams
Insurance-specific for AI, GenAI, agentic workflows
- Early claim fraud detection
- Claims decisioning & straight-through processing
- Underwriting triage & risk scoring
- Customer service copilots (policy queries, documentation, endorsements)
- Agentic workflows for FNOL, claims routing, policy servicing
Telecom for network, customer, and field-ops intelligence
- Predictive maintenance
- NOC automation with agentic workflows
- Churn prediction & customer retention
- Field engineer copilots
Retail & E-commerce for personalization, forecasting, and operational AI
- Demand forecasting
- Dynamic pricing
- Recommendation systems
- GenAI customer support copilots
Healthcare for clinical and operational decision intelligences
- Clinical summarization
- Claims & coding optimization
- Operational efficiency modelling
- GenAI medical knowledge assistants
Manufacturing & Industrial for predictive, preventive, and production intelligence
- Predictive maintenance
- Process optimization
- Energy/throughput modelling
- GenAI copilots for SOPs and troubleshooting
Always-On AI. Built as Infrastructure.
AI only scales when enterprises can build it safely, trust it in daily workflows, and run it continuously
The AI Operating System makes this possible by running as part of your core enterprise architecture.
Trusted by Enterprises Operating AI at Scale
Real-World Outcomes
Enterprises use the DSW Enterprise AI Operating System to:
01 /
Move AI/ML & Agentic AI use cases into production faster
From months to weeks in regulated environments
02 /
Eliminate unpredictable per-use-case AI costs
Single-subscription model replacing per-model and per-agent pricing
03 /
Operate audit-ready AI systems by default
Continuous execution logs, traces, and approvals enforced at runtime
04 /
Reduce operational, regulatory, and execution risk
Runtime policy enforcement and reversible execution
05 /
Retain full ownership of AI systems and IP
No outbound learning, no vendor lock-in
One Subscription,
Unlimited Scale.
Tailor-made for regulated insurance environments
Designed for compliance-driven, risk-sensitive operations.
Infosys Finacle’s Open Source Services Partner FY25
InsurTech of the Year 2025
Supports governance, audit, and regulatory workflows across underwriting, claims, and servicing.
Trusted by Leaders
in BFSI and Beyond
Explore how we've helped businesses like yours achieve success with innovative technology solutions.
Canara HSBC achieves faster deployment on persistency prediction and customer retention
With DSW's insurance-specific solutions on top of its robust AI platform, we've been able to move use cases into production quickly.
Ritesh Rathod
Chief Strategy and Data Officer, Canara HSBC
DSW UnifyAI simplified our data-driven approach, enabling easy development of AI-powered use cases.
Stefano Bonfa
Director, OxSDE, Europe
Customers In Production – Canara HSBC, Manipal Cigna, Mahindra, Castler, Wealthright, FSS
With advanced capabilities of the platform's AgenticAI, Castler's escrow services became smarter, more efficient - enabling faster, secure, scalable solutions for our BFSI clients.
Ritesh Tiwari
Chief Product Officer, Castler
Manipal Health Cigna in production with over 5 use cases of AI/ML and GenAI
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