Data Analytics & AI

Transform Data Into Intelligent Business Outcomes

From data to decisions.
From AI to outcomes that hold.

Sundew engineers data, analytics, and AI for businesses ready to move from dashboards to decisions, and from AI pilots to AI in production. Senior data engineers, AI engineers, and consultants on one team. Generative AI has reframed the question every CFO and CIO now hears from the board: where is the return on our data investment, and where is the return on our AI investment? In 2026, the answer separates the businesses that will scale from the ones that will stall.

One capability. Four practices.
Engineered and delivered as one team.

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Data Engineering
and Modernization

Where the data foundation gets built or rebuilt.

Data Strategy
and Data Platforms

Modern data platforms are engineered to retire the spreadsheets.

Advanced
Analytics & BI

Where the data becomes dashboard that the board actually reads.

AI Strategy
and Advisory

Where AI moves from pilot to production.

Data is the asset. AI is the multiplier.
Both are useless without engineering.

Sundew's Data, Analytics, and AI capability serves the full data lifecycle. From the foundation work that turns raw data into a governed platform, to the analytics layer that turns the platform into decisions, to the AI workloads that turn decisions into automated outcomes, to the strategy that aligns the program with the board's numbers.

Outcomes That Matter.

Enterprise AI. Global consumer goods brand.

Engineering, scaling enterprise AI to 8,000 employees, of a global consumer brand.

Sundew joined a multi-vendor delivery team and contributed to the design and engineering of an enterprise AI platform built on the Open WebUI framework, hosted on Microsoft Azure, and powered by OpenAI's large language models.

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Data and AI. Global contract food services leader.

Reporting platform for a SAP S/4HANA transformation for operational teams and enterprise stakeholders.

It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content here, content here', making it look like readable English. Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text

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Reporting platform for a SAP S/4HANA transformation for operational teams and enterprise stakeholders.

Enterprise Modernization. Healthcare. Diagnostics.

Modernized order-to-cash system for one of India’s largest listed diagnostic chain.

Sundew architected a cloud-native, purpose-built healthcare operations platform on Microsoft Azure, designed from the ground up around the customer’s Order-to-Cash life cycle.

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Modernized order-to-cash system for one of India’s largest listed diagnostic chain.

Digital Transformation. Travel retail and luxury.

Scaling duty free sales by modernizing online shopping and pre-ordering for a global duty free operator.

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Digital Transformation. Education.

Driving digital modernization for one of the most reputed IITs in India, a 65 year old legacy.

Sundew led the architecture and delivery of the full migration, working within the one-month window while ensuring zero regression in governance or network integrity.

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Driving digital modernization for one of the most reputed IITs in India, a 65 year old legacy.

Strategy survives contact with delivery when the Team
that ships is the team that thinks. Let’s talk.

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Industries we are opinionated about.

Industries we win in, because the team has lived the transformation before.

Healthcare

Patient experiences engineered for the consumer expectations of 2026.

Insurance and Warranty

Sales, claims, and modernization - Sundew has shipped most defensively.

Luxury and Retail

Digital commerce solutions for the global luxury houses and lifestyle D2C brands.

Education

Modernizing and building applications, platforms, and digital presence.

Real Estate

Customer-facing applications and brand digital presence with marketing funnels.

Travel and Hospitality

Booking, stay, and post-trip unified into one intelligent guest journey.

Migrate. Modernize.
From legacy to AI-ready.

Modernize the architecture, and protect business
continuity with no measurable downtime.

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Microsoft Cloud Solution

Frequently Asked Questions

What does Sundew's Data, Analytics, and AI capability cover?

Sundew's Data, Analytics, and AI capability covers four practices delivered as one team. Data Engineering and Modernization for the foundation work, including lakehouse architecture, database migration, and pipeline engineering.
Analytics and Business Intelligence for reporting and decision support, including Power BI, Tableau, and semantic modeling. Generative AI and Agentic Workflows for production AI, including RAG, Model Context Protocol integration, and agentic systems. AI Strategy and Advisory for board-level alignment, AI roadmap, and governance.
What is the difference between data engineering and analytics?

Data engineering is the practice of building the data platform: pipelines, storage, governance, quality, and the trusted foundation on which analytics runs. Analytics is the practice of turning the platform into decisions: dashboards, reports, semantic models, and the executive-facing artifacts that drive the business. Both are required.
Analytics without engineering is unreliable. Engineering without analytics is unused. Sundew runs both as one practice, so the foundation and the decision layer are designed together.
How does Sundew approach generative AI in production?

Sundew engineers generative AI for production scale, not for proof of concept. The architectural pattern is three-layered. A vector store inside the enterprise tenant for retrieval-augmented generation across enterprise content.
Model Context Protocol as the integration layer for progressive extension into enterprise systems like SAP, Jira, Confluence, and BI databases. Governance baselined from day one, including identity, access, and content controls. The pattern has been proven at a workforce scale of 5,000+ monthly active users.
Does Sundew work with MSME and mid-market businesses?

Yes. Sundew serves both MSME and mid-market businesses and large global enterprises. For mid-market and MSME engagements, Sundew calibrates the engagement to a faster cash-conversion cycle, with focused outcome-led engagements that earn their return inside the same fiscal year.
Right-sized data platforms, targeted AI use cases that ship to production, and advisory aligned to a growth-business cadence. The operating model is the same; the engagement shape is calibrated to the stage.
What data and AI platforms does Sundew engineer on?

Sundew engineers across the major enterprise data and AI platforms. Cloud: Microsoft Azure, Amazon Web Services, Google Cloud. Data and analytics: Databricks, Snowflake, Microsoft Fabric, Amazon Redshift, Apache Hudi, Power BI, Tableau, Qlik. AI: OpenAI, Anthropic, open-source large language models on enterprise infrastructure, Open WebUI, Model Context Protocol. Database: PostgreSQL on Azure as the modernization target for legacy Oracle, DB2, and Sybase estates. Platform selection is decision-aligned, not preference-driven.
How is success measured in data or AI engagement?

Success is measured against the commercial outcome the engagement is designed to drive. For data platforms, the metrics typically include data quality, query performance, time-to-insight, and platform adoption across business units. For analytics, metrics include report usage, decision velocity, and executive engagement with dashboards.
For generative AI, metrics include monthly active users, task completion rates, employee satisfaction scores, and the rate at which the assistant is integrated into downstream workflows. For AI strategy, metrics include program velocity, governance compliance, and the rate of AI use cases reaching production.
What compliance standards does Sundew maintain for data and AI work?

Sundew operates under SOC 2 Type II (annual attestation), ISO 27001:2022 (current standard), and ISO 9001:2015. European engagements run to GDPR-aligned working standards. Healthcare engagements run to HIPAA-aware engineering practices. AI engagements run to Sundew's responsible AI principles, which include data sovereignty inside the client tenant, governance of model access, and documented review of automated decisions that affect customers or employees.

Modernize Your Data Estate. Deploy Production AI Your Board Can Trust.

From governed data foundations and legacy schema mapping to production-grade RAG and autonomous AI agents, Sundew delivers the engineering, security, and governance required to turn enterprise data into scalable business value.

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