Coming Soon
MarTech · AI
AI Campaign Intelligence
Understand what is working across campaigns — and what to do next.
Learn more about AI Campaign IntelligenceData · Analytics · AI · Customer Intelligence
Turn Data Into Intelligence.
Turn Intelligence Into Action.
We build modern data platforms, AI solutions, customer intelligence systems, and intelligent software products that help businesses make faster, smarter decisions.
Engineering-firstGoverned by designCloud-agnostic
intelligence-stacklive
Business Outcomes
Faster decisionsRevenue growthEfficiencyCustomer experience
Intelligence
AnalyticsCustomer IntelligenceAI Agents
Data & AI Platform
LakehouseGovernanceVector SearchMLOps
Data Sources
Enterprise DataCustomer DataMarketing Data
Building Intelligent Data & AI Solutions for the Modern Enterprise
Build · Understand · Automate
Capabilities
From Data Foundations to Intelligent Applications
Four connected capabilities that take organisations from raw data to decisions and automated action.
BUILD
Modern Data Platforms
Scalable, governed data foundations on the cloud.
- Data Engineering
- Data Architecture
- Cloud Data
- Databricks
- Apache Spark
- Data Warehousing
- ETL / ELT
- Data Quality
- Data Governance
UNDERSTAND
Analytics & Intelligence
Insight that reaches the people who act on it.
- Business Intelligence
- Advanced Analytics
- Customer Intelligence
- Marketing Analytics
- Audience Segmentation
- Decision Intelligence
- AI-powered Analytics
PREDICT
Data Science & Machine Learning
Models trained, fine-tuned and run reliably in production.
- Data Science
- Machine Learning
- ML Model Training
- LLM Fine-Tuning
- Deep Learning
- MLOps
- Model Monitoring
AUTOMATE
AI & Intelligent Applications
AI systems that reason, retrieve and act.
- Generative AI
- RAG
- AI Agents
- Agentic AI
- Enterprise AI
- AI Automation
- Knowledge Graphs
- Enterprise Search
Data & Cloud
Build a Data Foundation That Scales With Your Business
Lakehouse architectures, reliable pipelines and governance built in — so analytics and AI teams work from data they can trust.
Sources
- ERP & CRM
- Apps & APIs
- Files
- Events
Ingest
- Batch ELT
- Kafka streams
- CDC
Bronze
- Raw
- Immutable
- Replayable
Silver
- Cleansed
- Conformed
- Validated
Gold
- Business-ready
- Modelled
- Served
Consume
- BI
- ML
- GenAI
- Apps
Governance plane — across every layer
Data QualityGovernanceObservabilityLineageSecurity
- Data Engineering
- Data Architecture
- Cloud Data Platforms
- Databricks
- Apache Spark
- Kafka
- ETL / ELT
- Data Warehousing
- Data Quality
- Data Governance
- Data Observability
- Data Lineage
AI & GenAI
From Generative AI to Enterprise Intelligence
Grounded in your knowledge, orchestrated with agents, and governed with people in the loop — AI engineered for production, not just demos.
01
Knowledge
- Documents
- Governed data
- APIs & systems
02
Retrieval
- Vector search
- Knowledge graph
- Enterprise search
03
Reasoning
- LLMs
- Agent orchestration
- Tools & memory
04
Control
- Human-in-the-loop
- Guardrails
- Evaluation
05
Action
- Assistants
- Automation
- Insights
PlatformSecurity & permissionsObservabilityLLMOpsCost control
- Generative AI
- RAG
- Vector Search
- Knowledge Graphs
- Enterprise Search
- AI Agents
- Agentic AI
- Human-in-the-loop
- AI Automation
- Machine Learning
- AI-powered Analytics
AdTech & MarTech
Turn Customer Data Into Personalized Experiences
Unify signals from every touchpoint into a customer data platform, resolve identities into a Customer 360, and activate intelligent audiences across marketing and advertising — including Meta Ads, Google Ads and the Adobe ecosystem.
- Customer Data Platform
- Identity Resolution
- Customer 360
- Audience Segmentation
- Personalization
- Marketing Automation
Customer touchpoints
WebMobileCRMTransactionsMarketingAdvertisingEvents
Customer Data Platform
Unified, governed customer data
Customer intelligence
Identity ResolutionCustomer 360Audience SegmentationCustomer Intelligence
Activation
CampaignsPersonalizationMarketing AutomationAdvertising
Activates toMeta AdsGoogle AdsAdobe Experience CloudCRM & email platforms
Our approach
One Platform Mindset. Multiple Business Problems.
Data, AI and customer intelligence are not separate projects. They share the same data, governance and engineering foundations. We design them as one connected system — so every new use case is faster, cheaper and more reliable than the last.
Connected, not siloed
Data platforms, analytics, AI and customer intelligence designed as one system — so every investment compounds instead of creating another silo.
Engineering-first
Everything as code: tested pipelines, versioned models, reproducible infrastructure and documented architecture.
Governed by design
Security, access control, lineage and human oversight are built in from the first sprint — not bolted on at the end.
Built to become product
We turn repeatable solutions into accelerators and products, so clients benefit from proven patterns rather than bespoke rework.
Products
From Ideas to Intelligent Products
We are turning proven patterns from our data and AI work into SaaS products. These products are in development — join early access to shape what we build.
Coming Soon
Customer Data · AI
Customer Intelligence Platform
Customer 360, segmentation and predictive insight on your own data.
Learn more about Customer Intelligence PlatformIn Research
MarTech · Automation
Campaign Automation Engine
Signal-driven journeys, orchestrated across channels.
Learn more about Campaign Automation EngineIn Research
Data Platform · AI
Data & AI Platform
An accelerator for governed lakehouse, analytics and AI.
Learn more about Data & AI PlatformIndustries
Applied Across Data-Intensive Industries
The same data, analytics and AI foundations adapt to the specific problems of each industry.
Financial Services
Customer analytics, risk insight, regulatory reporting data foundations and AI-assisted operations.
Insurance
Policy and claims data platforms, document intelligence and customer retention analytics.
Retail & E-commerce
Customer 360, personalisation, demand insight and marketing performance analytics.
Healthcare
Governed data platforms, operational analytics and knowledge assistants with strict data controls.
Telecommunications
Streaming data, churn and value models, and customer experience intelligence.
Media & Advertising
Audience data, identity, campaign measurement and advertising activation.
Technology
Product analytics, data platforms and AI features embedded into software products.
Working in another industry?
Tell us about it
Technology
A Modern, Open Technology Ecosystem
We choose technology to fit the problem — across leading data platforms, clouds, AI models and marketing systems.
Data
- Databricks
- Apache Spark
- Kafka
- Delta Lake
- Snowflake
- SQL
Cloud
- AWS
- Azure
- GCP
AI
- LLMs
- Generative AI
- RAG
- Vector Search
- AI Agents
Marketing
- Meta
- Google Ads
- Adobe
- CDP
- Marketing Automation
About Marquedata
Engineering the Future of Data and Intelligence
We started with data engineering and are building toward intelligent products. Each stage builds on the last — and every client engagement strengthens the foundations of what comes next.
- 01
Data Engineering
Reliable pipelines
- 02
Data Platforms
Governed foundations
- 03
Analytics
Trusted insight
- 04
AI / GenAI
Intelligent systems
- 05
Customer Intelligence
Customer understanding
- 06
Intelligent Products
Reusable IP
- 07
SaaS
Products at scale
Engagement patterns
How We Solve Data & AI Problems
Representative engagement patterns, shown as Problem → Solution → Architecture → Results. Detailed client case studies will be published with client approval.
Data & Cloud
Enterprise Data Platform
- Problem
- Fragmented warehouses and manual pipelines leave teams reconciling numbers instead of using them.
- Solution
- A governed lakehouse with medallion layers, automated quality checks and a shared catalogue.
- Architecture
- SourcesIngestionBronze · Silver · GoldSemantic layerBI & AI
- Results
- Single source of truthAutomated data qualityFaster new-source onboarding
Customer Intelligence
Customer 360
- Problem
- Customer data is scattered across web, app, CRM and transactions with no shared identity.
- Solution
- Identity resolution and unified profiles with segmentation ready for activation.
- Architecture
- TouchpointsIdentity graphCustomer 360SegmentsActivation
- Results
- Unified customer viewReusable audiencesPersonalisation-ready data
AI & GenAI
GenAI / RAG Assistant
- Problem
- Critical knowledge sits in thousands of documents that are hard to search and slow to use.
- Solution
- A permission-aware RAG assistant with citations, evaluation and human feedback loops.
- Architecture
- DocumentsChunk & embedVector indexLLM + guardrailsAssistant
- Results
- Cited, grounded answersMeasured answer qualityGoverned access
AdTech & MarTech
Marketing Intelligence
- Problem
- Campaign data lives inside each ad platform, making cross-channel performance hard to judge.
- Solution
- A unified marketing data model with attribution, anomaly alerts and AI-generated insight.
- Architecture
- Ad platformsMarketing data modelAttributionAI insightsDecisions
- Results
- Cross-channel visibilityEarlier issue detectionEvidence-based budget shifts
Insights
Latest Thinking
Practical guides from our work on data platforms, AI and customer intelligence.
Data Platforms
Choosing a Data Platform in India: Databricks, Snowflake or BigQuery
How to choose between Databricks, Snowflake, BigQuery and other cloud data platforms in India: workloads, cost, skills, data residency and DPDP Act considerations.
· 3 min read
Generative AI
LLM Fine-Tuning vs RAG: Which Should You Use?
RAG supplies facts at question time; fine-tuning changes how a model behaves. How to choose between them, what fine-tuning needs, and how to prove it worked.
· 4 min read
MarTech
Composable CDP: Customer Data Platform Capabilities on Your Lakehouse
How to build identity resolution, Customer 360, segmentation and activation on the data platform you already own — and when a packaged CDP is still the better choice.
· 4 min read
FAQ
Questions about Marquedata
What is Marquedata?
Marquedata (marquedata.com) is an independent data and AI engineering company based in Kolkata, India. It builds cloud data platforms, data science and machine learning (model training and LLM fine-tuning), analytics, generative and agentic AI, and customer intelligence for AdTech and MarTech, and is developing its own B2B SaaS products. It is not affiliated with data-storage hardware or other similarly named businesses.
Does Marquedata provide data engineering and AI services in India?
Yes. Marquedata is based in Kolkata and works with organisations in India and worldwide on data engineering, cloud data platforms (Databricks, Snowflake, AWS, Azure, Google Cloud), data science and machine learning (ML model training, LLM fine-tuning, MLOps), generative AI and agentic AI, analytics and decision intelligence, and AdTech and MarTech data solutions. Start with a discovery conversation at [email protected].
What does Marquedata do?
Marquedata is a data and AI engineering company. We design and build modern data platforms, data science and machine learning solutions (including model training and LLM fine-tuning), analytics and decision intelligence, generative and agentic AI solutions, and customer intelligence systems for AdTech and MarTech — and we are developing our own SaaS products from the patterns we deliver.
Which technologies does Marquedata work with?
Our core stack includes Databricks, Apache Spark, Delta Lake, Kafka, Snowflake and SQL on AWS, Azure and Google Cloud, plus large language models, retrieval-augmented generation (RAG), vector search and AI agent frameworks. For marketing we integrate with Meta Ads, Google Ads, Adobe and marketing automation platforms.
How does a typical engagement start?
Engagements start with a short discovery to understand goals, the current data landscape and constraints, and to agree measurable outcomes. We then design the architecture and deliver in small increments of working software, before scaling, handing over or operating the solution.
Are Marquedata products available today?
Not yet. AI Campaign Intelligence, Customer Intelligence Platform, Campaign Automation Engine and a Data & AI Platform accelerator are in research or development. Organisations can join early access to become design partners and shape the roadmap.
Where is Marquedata based?
Marquedata is based in Kolkata, India, and works with clients globally. You can reach the team at [email protected] or through the contact page.
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