
Data Analytics Services That
Drive Growth
Enable AI-First transformation to make smarter business decisions
Explore the Data TransformationTrusted by Leaders




Harness Data, Accelerate Insights
Modern enterprises are drowning in data but starving for insights. While organizations wrestle with data silos, cost overruns, & long deployment cycles, you could be making decisions at the speed of insight.
Testimonials

I needed a cost-effective transaction monitoring tool which would identify high-risk transactions, flag potential control weaknesses, improve over time through machine learning, reduce the number of false positives reviewed by the compliance team and be user-friendly in terms of configuration and visualization. konaAI delivers on all counts, and I was very pleased with the choice we made.
Amay Sharma
CEO, Unblast
Driving Success Through
Strategic Partnerships




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Data and Analytics Excellence

The Foundation of Data Excellence
Transform raw data into enterprise-ready assets with our intelligent data platform engineering. We architect data ecosystems that scale with your business requirements along with building pipelines.
Differentiators
Speed to Value
Deploy production-ready data platform services
Cost Intelligence
Reduce data infrastructure costs by 30-40% through proactive FinOps
Future-Proof Architecture
Built for AI-first enterprises with MLOps and LLM integration
Governance by Design
Compliance-ready frameworks that scale with your business
Services Portfolio
The Foundation of Data Excellence
Transform raw data into enterprise-ready assets with our intelligent data platform engineering. We architect data ecosystems that scale with your business requirements along with building pipelines.
Our Differentiators
Unified Data Architecture
Eliminate data silos with our Lakehouse-first approach
Real-Time Intelligence
Faster data processing for instant decision-making
FinOps Excellence
Proactive cost management that aligns spend with business value
Agility Meets Reliability
Bring DevOps discipline to your data workflows. Our DataOps practice ensures your data is always accurate, accessible, and audit ready.
Our Differentiators
Automated Data Quality
ML-powered anomaly detection and root-cause analysis
CI/CD for Data
Version control and automated testing for data pipelines
Unified Governance
Centralized metadata management with policy-as-code enforcement
From Insights to Impact
Turn your data into predictive intelligence that drives business outcomes. Our data scientists don't just build models, they deliver business-ready AI solutions.
Differentiators
Unified Data Architecture
Eliminate data silos with our Lakehouse-first approach
Real-Time Intelligence
Faster data processing for instant decision-making
Generative AI Integration
RAG-powered assistants and content automation
Use Cases


Healthcare and Lifesciences
Patient data lake with secure IoT integration enabling predictive care models that reduce readmissions by 28%
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Banking, Insurance and Financial Services
Unified multi-cloud data lake enabling real-time fraud detection with 95% accuracy, reducing fraud losses by $2.3M annually

Manufacturing
Predictive maintenance analytics preventing equipment failures, saving $1.8M in unplanned downtime
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Media and Communications
Real-time content personalization engine increasing user engagement by 45% across digital platforms
Know MoreFrequently Asked Questions
How do I know if my organization is ready for data transformation?
If you are struggling with data silos, making decisions based on outdated information, or spending more time searching for data than analyzing it, then you are ready. Our free Data Maturity Assessment will evaluate your current state and provide a clear roadmap.
What is the typical timeline for seeing results from a data and analytics initiative?
Quick wins can be achieved in 4-8 weeks with our rapid deployment approach. Comprehensive transformations typically show measurable ROI within 3-6 months, with full transformation completed within 12-18 months, depending on complexity.
How much should we expect to invest in data and analytics transformation?
The investment varies based on your current infrastructure, data volume, and business objectives. Our assessments provide detailed ROI projections.
Can you work with our existing technology stack?
Absolutely. We are platform-agnostic and work with all major cloud providers (AWS, Azure, GCP) and data technologies. We will assess your current stack and recommend the optimal integration approach to maximize your existing investment.
How do I know which services my organization needs most?
Our Data Maturity Assessment identifies your biggest pain points and opportunities. Generally, organizations start with data engineering for foundation building, add DataOps for reliability, and then scale with data science for advanced analytics and AI.
Do we need to implement all services at once?
Not at all. We recommend a phased approach starting with your most critical business needs. Many organizations begin with one service area and expand as they see results and build internal capabilities.
What if we already have an internal data team?
We work collaboratively with your existing team, providing expertise, best practices, and accelerated delivery. We can augment your team's capabilities, provide specialized skills, or handle specific projects while knowledge transfer occurs.
How do you ensure our data remains secure?
Security is built into every solution from day one. We implement enterprise-grade security including encryption, access controls, audit trails, and compliance frameworks. All our consultants follow strict data handling protocols.
Can you help with regulatory compliance (GDPR, HIPAA, SOX)?
Yes, compliance is integrated into our governance frameworks. We have extensive experience with GDPR, HIPAA, SOX, PCI-DSS, and other regulatory requirements, ensuring your data operations are audit-ready from implementation.