# Dhristhi > Last updated: 2026-06-28 > Dhristhi (Dhristhi System Private Limited) helps enterprises deliver platform engineering, modern data platforms, AI/ML implementation, and product design outcomes to production in focused delivery windows. The firm connects strategy to implementable architecture, engineering, and operational handoff for regulated and complex operating environments. Dhristhi serves CTOs, CIOs, platform teams, and data leaders building production-grade AI, data, and platform capabilities. Engagements emphasize senior-led execution, reusable accelerators, and systems designed to be operated, measured, and governed after launch. It is a Databricks Partner. Industry focus: healthcare, insurance, financial services, and enterprise SaaS. Every engagement follows a Diagnose -> Build -> Transfer path. ## Services - [Product Design & UX](https://www.dhristhi.com/services/product-design): Human-centered, AI-augmented, accessibility-first product design; targets 15-30% engagement improvement. - [Platform Engineering](https://www.dhristhi.com/services/platform-engineering): Backstage-based Internal Developer Platforms with golden paths and self-service; production-ready IDP in 6-8 weeks. - [Data Platform](https://www.dhristhi.com/services/data-platform): Databricks lakehouse implementation with Unity Catalog governance and AI-ready foundations. - [AI & ML Implementation](https://www.dhristhi.com/services/aiml-implementation): Agentic AI, GenAI, MLOps, monitoring, and Responsible AI governance from pilot to production. - [All services](https://www.dhristhi.com/services): Overview of the four connected capabilities across product, platform, data, and AI. ## Solution Accelerators - [Databricks Aurora Sync](https://www.dhristhi.com/solution-accelerators/databricks-aurora-sync): Exactly-once Databricks-to-Aurora MySQL sync for 500+ Delta tables. 2-3 weeks. - [Unity Catalog Governance](https://www.dhristhi.com/solution-accelerators/unity-catalog-governance): Automated Unity Catalog setup, RBAC, FinOps dashboards, and compliance mapping. 1-2 weeks. - [Data Quality Observability](https://www.dhristhi.com/solution-accelerators/data-quality-observability): Automated quality checks and ML anomaly detection across 1,000+ tables. 2-3 weeks. - [Modern Data Platform](https://www.dhristhi.com/solution-accelerators/modern-data-platform): Complete governed lakehouse with FinOps, MLOps, and self-service analytics. 4-6 weeks. - [Backstage Developer Portal](https://www.dhristhi.com/solution-accelerators/backstage-developer-portal): Self-service developer portal with catalog, golden-path templates, and TechDocs. 3-4 weeks. - [All accelerators](https://www.dhristhi.com/solution-accelerators): Reusable implementation patterns for common delivery bottlenecks. ## Case Studies - [Global Fintech Portal Consolidation](https://www.dhristhi.com/case-studies/global-fintech-backstage-consolidation): Unified 14 developer tools into one Backstage portal for 320+ engineers. Onboarding from 3 weeks to 3 days. - [Healthcare Microservices Self-Service](https://www.dhristhi.com/case-studies/healthcare-platform-microservices-migration): HIPAA-compliant golden path templates reduced service creation from 2 weeks to 10 minutes. - [E-Commerce Platform Transformation](https://www.dhristhi.com/case-studies/ecommerce-platform-engineering-transformation): Multi-brand self-service platform cut provisioning from 5 days to 15 minutes. - [Government Health Member Portal](https://www.dhristhi.com/case-studies/government-health-member-portal): Multi-state member portal serving 2.4M+ members with 99.95% uptime. - [Health Platform SaaS Transformation](https://www.dhristhi.com/case-studies/health-platform-saas-transformation): Monolith to multi-tenant SaaS with 12 microservices, daily deployments, and AI-assisted development. - [Logistics Serverless Transformation](https://www.dhristhi.com/case-studies/logistics-serverless-event-architecture): Batch processing replaced with serverless event-driven architecture. 4.2M+ daily events, 70% cost reduction. - [Health Services Document AI](https://www.dhristhi.com/case-studies/government-health-document-processing): AI document processing achieving 92% straight-through processing and 80% reduction in manual review. - [Workforce Predictive Analytics](https://www.dhristhi.com/case-studies/enterprise-workforce-predictive-analytics): ML-powered attrition prediction (87% accuracy) saving $2.1M/year in unplanned recruitment. - [All case studies](https://www.dhristhi.com/case-studies): Real client engagement results across platform engineering, data, and AI. ## Insights - [AI Needs More QA, and AI QA Needs More Data Science](https://www.dhristhi.com/blog/ai-needs-more-qa-and-ai-qa-needs-more-data-science) - [Key Differences Between Machine Learning and Generative AI](https://www.dhristhi.com/blog/key-differences-between-machine-learning-and-generative-ai) - [Integration of AI in Workforce Management](https://www.dhristhi.com/blog/integration-of-ai-in-workforce-management) - [Introduction to Strategic Workforce Planning](https://www.dhristhi.com/blog/strategic-workforce-planning) - [How Generative AI Should Be Used](https://www.dhristhi.com/blog/how-to-use-generative-ai) - [Dhristhi Partners with Databricks](https://www.dhristhi.com/blog/databricks-partnership) - [From T-SQL to Lakehouse: De-risking Stored-Procedure Migrations to Delta Live Tables](https://www.dhristhi.com/blog/from-tsql-to-lakehouse-pragmatic-blueprint-stored-procedure-migrations-delta-live-tables) - [Lakehouse Modeling Playbook: Star Schemas, OBTs, or Data Vault on Databricks](https://www.dhristhi.com/blog/lakehouse-modeling-playbook-when-to-use-star-schemas-obts-or-data-vault-on-databricks) - [All articles](https://www.dhristhi.com/blog) ## Company - [About Us](https://www.dhristhi.com/about-us): Who Dhristhi is and how the team works. - [Contact Us](https://www.dhristhi.com/contact-us): Start an assessment or schedule a strategy call. Email: office@dhristhi.com. Office: Pune (Pimpri-Chinchwad), Maharashtra, India. ## Citation Name: Dhristhi System Private Limited Short name: Dhristhi Website: https://www.dhristhi.com Type: Enterprise data, AI, and platform engineering company Specialization: Platform engineering, data platforms, AI/ML, product design Partnership: Databricks Partner ## Legal - [Privacy Policy](https://www.dhristhi.com/privacy-policy) - [Terms of Service](https://www.dhristhi.com/terms-of-service) - [Cookie Policy](https://www.dhristhi.com/cookie-policy)