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Angular
Frontend framework
HighCharts
Interactive charts
Real-time
Data APIs
Pixel-perfect
Design
AI & Automation · Data & Analytics
Turn raw data into decisions that compound.
AI data analytics services delivering custom data engineering services, BI dashboards, data governance, and generative AI for data insights — an enterprise data analytics company building from data engineering foundations to executive-facing analytics.
AI data analytics services
Custom data engineering services
Predictive analytics solutions
Generative AI for data insights
Business intelligence (BI) solutions provider
Self-service analytics platforms
50TB+
Data processed monthly
Scalable pipelines handling enterprise-grade volumes.
4×
Faster time-to-insight
Automated reporting that replaces weeks of manual work.
70%
Fewer ad-hoc data requests
Self-service analytics empower teams to query directly.
18%
Avg stockout reduction
Demand forecasting that optimises inventory decisions.
Why MetaDesign
Hire data analytics developers for pipelines that run themselves.
Enterprise data analytics company delivering ETL, warehousing, BI dashboards — built by engineers who understand your business, not just SQL.
Teams shipping with MetaDesign
Selected work
Case studies.
Healthcare Learning Firm
Looker Studio
Dashboard engine
Multi-source
Data unification
Custom events
Engagement tracking
Actionable
Insights
INGEST.
TRANSFORM.
VISUALISE.
DECIDE.
Executive Dashboards
Hire data analytics developers for real-time KPI dashboards — revenue, pipeline, churn, and operational metrics in one view for C-suite.
Revenue Analytics
Predictive analytics solutions powering cohort analysis, LTV prediction, and pricing optimisation from your transaction data.
Supply Chain Analytics
Generative AI for data insights driving demand forecasting, inventory optimisation, and supplier performance tracking.
Customer 360
AI data analytics services unifying customer profiles from CRM, support, billing, and behaviour data for personalisation.
Compliance Reporting
Automated regulatory reports — SOX, GDPR, HIPAA — with audit trails and data lineage.
Real-Time Streaming
Hire machine learning experts for data mining on Kafka and Kinesis — fraud detection, clickstream analysis, and IoT telemetry.
Our Approach
Data & Analytics: Our Proven Process
01
Discover
Audit your data sources, quality, and current analytics maturity. Map stakeholder needs to data requirements.
02
Architect
Design the data platform — warehouse, lakehouse, or hybrid — with governance, lineage, and access controls.
03
Build
Develop ETL/ELT pipelines, data models, and transformation logic with version control and testing.
04
Visualise
Create dashboards and self-service analytics tools aligned to business KPIs and decision workflows.
05
Operate
Ongoing monitoring, pipeline maintenance, data quality checks, and continuous analytics improvement.
01
Discover
Audit your data sources, quality, and current analytics maturity. Map stakeholder needs to data requirements.
02
Architect
Design the data platform — warehouse, lakehouse, or hybrid — with governance, lineage, and access controls.
03
Build
Develop ETL/ELT pipelines, data models, and transformation logic with version control and testing.
04
Visualise
Create dashboards and self-service analytics tools aligned to business KPIs and decision workflows.
05
Operate
Ongoing monitoring, pipeline maintenance, data quality checks, and continuous analytics improvement.
Customer value
Why enterprises trust us with their AI.
Real outcomes our clients report within the first engagement cycle.
Higher automation rates
Eliminate repetitive tasks and free your team to focus on strategic work.
Measurable accuracy
AI models with tracked precision, recall, and F1 scores — not guesswork.
Faster decision-making
Real-time insights and predictions that accelerate business decisions.
Reduced operational cost
Automation that pays for itself within the first quarter.
Production-grade reliability
Guardrails, monitoring, and fallback logic built into every AI system.
Knowledge transfer
Your team learns to maintain and extend AI systems independently.
By the numbers
400+
Engineers worldwide
200+
Active clients
20yr
Pure-play software
94%
Client retention
ENGAGEMENT MODELS
Three ways to scale your Data & Analytics infrastructure.
Turn fragmented databases into modern data platforms, automated ETL pipelines, and executive dashboards with predictable delivery cycles.
MOST POPULAR
Modern Data Stack Squad
A dedicated team of data architects, analytics engineers (dbt, Snowflake, BigQuery), and BI visualization experts building scalable analytics foundations.
- Scalable ETL/ELT pipelines
- dbt, Snowflake & Databricks setup
- Automated data quality checks
- Interactive executive dashboards
EMBED
Hire Data & Analytics Engineers
Embed senior SQL, Python, dbt, and PowerBI/Tableau engineers into your sprints to eliminate backlog and build reliable analytical models.
- Pre-vetted data engineers
- Immediate sprint integration
- Time-zone aligned collaboration
- Transparent monthly pricing
LAUNCH
Data Warehouse & BI Launch
A fixed-scope project to consolidate disparate data sources into a centralized cloud warehouse with tailored dashboards delivered in 6–10 weeks.
- Fixed scope & timeline
- Source ingestion & cleansing
- Self-service BI reporting
- Full documentation & training
FAQ
Asked first, every time.
Don't see yours here? Send us the question — a principal engineer will reply within 24 hours.
As a business intelligence (BI) solutions provider, we evaluate based on your ecosystem. Power BI integrates natively with Microsoft 365 and Azure. Looker is ideal for Google Cloud teams. Tableau offers the most flexibility. We assess your data stack, team skills, and budget for custom dashboard development (PowerBI, Tableau, Looker).
Yes. Our custom data engineering services integrate with Snowflake, BigQuery, Redshift, Databricks, and custom warehouses — building ETL/ELT pipelines, transformation layers, and dashboards on top of your existing infrastructure without migration.
Our AI data analytics services include automated quality checks at every stage — schema validation, freshness monitoring, anomaly detection, and row-count reconciliation using Great Expectations and dbt tests with Slack/email alerting on failures.
Yes. Hire data analytics developers who build streaming pipelines on Kafka, Kinesis, or Spark Streaming for sub-second analytics — fraud detection, clickstream analysis, operational monitoring, and IoT telemetry dashboards.
Yes. As an enterprise data analytics company, we implement comprehensive data governance frameworks with data classification, column-level access controls, PII anonymisation, audit trails, and retention policies aligned to your specific regulatory requirements.
Foundation (warehouse + core pipelines + initial dashboards): 6–8 weeks. Full platform with governance, predictive analytics solutions, and streaming: 12–16 weeks. We deliver incremental value every sprint.
A data warehouse stores structured, pre-modelled data optimised for fast queries (Snowflake, BigQuery). A lakehouse combines warehouse performance with data lake flexibility — storing raw and structured data together (Databricks, Delta Lake). Our predictive analytics solutions work on both architectures.
Yes. We build semantic layers with generative AI for data insights that business users explore through drag-and-drop interfaces in Looker, Metabase, or Power BI — no SQL knowledge required. Hire data analytics developers who set guardrails so business users explore freely.
We integrate predictive analytics solutions by building secure, automated ETL pipelines that extract historical data from your ERP, process it through custom ML models, and push actionable insights back into the ERP dashboard.
Yes, our custom data engineering services specialize in petabyte-scale big data architectures. We utilize Apache Spark, Hadoop, and cloud-native solutions like AWS S3 or Azure Data Lake to efficiently process massive unstructured datasets.
BI Platforms & Data Services
Tableau Reporting Services
Tableau dashboards that turn data into decisions.
View Service
Power BI Development Services
Power BI dashboards — Microsoft-native business intelligence.
View Service
Metabase Analytics Services
Metabase — open-source BI your whole team can use.
View Service
Google Looker Studio Services
Google Looker Studio — free, powerful, cloud-native reporting.
View Service
AI Data Labeling Services
Training data that makes AI models accurate. Expert data labeling services for machine learning.
View Service
Machine Learning Development
Predictive analytics, NLP, deep learning, and MLOps solutions.
View Service
Hire AI Engineers
Hire ML engineers, data scientists, MLOps specialists, and AI architects.
View Service
Build your data platform with engineers who get data.
Tell us about your project. We'll come back with a plan, a timeline, and the right team — no obligations.