Private GenAI Applications
In Just 12 Weeks

A focused, outcome-driven delivery model that takes your AI use case from concept to production—securely, reliably, and at enterprise scale.

Weeks 1-4: Scope & Foundation

We begin by deeply understanding your business goals, data landscape, and operational constraints.

Weeks 5–7: Development

We design and build a functional MVP aligned to your real-world workflows.

Week 8: Pilot & Feedback

You get hands-on access to the solution in a controlled pilot environment.

Beyond Week 12: Continuous Maintenance

Post-deployment, we provide complete and continuous maintenance and update support.

Weeks 11-12: Deploy & Operate

We move the solution into production and ensure it’s ready to run at scale.

Weeks 9–10: Fine-Tuning

We refine the solution based on real usage and feedback.
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Fast

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Collaborative

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Built for Enterprise Needs

End-to-End AI Development Lifecycle – Built for Enterprise Production

Step 1

Discovery & Brainstorming

Identify high-value use cases and define the business problems the agentic AI system will solve.
Step 2

Private GenAI Infra Setup

Deploy a secure, compliant, enterprise-grade GenAI foundation on private or hybrid infrastructure.
Step 3

Agent Design

Architect intelligent agents with domain logic, tools, guardrails, and role-specific behaviors.
Step 4

Workflow Orchestration

Build orchestrated, multi-step agentic workflows that automate end-to-end business tasks.
Step 5

Finetuning & Training

Adapt foundation models using enterprise data to align outputs with internal context and accuracy needs.
Step 6

Pilot & Iteration

Validate workflows with real users, iterate quickly, and refine performance through feedback loops.
Step 7

Production Rollout

Deploy fully-validated agentic systems into production with monitoring, security, and scalability controls.

Build AI you can deploy, operate, and trust.

Let’s design a secure, enterprise-ready AI solution aligned to your data, infrastructure, and governance needs.

Talk to DKube
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