Data & AI Services

Our Data & AI services deliver architecture, governance, modeling, and engineering capabilities that reduce reporting time by nearly 75% and increase forecast accuracy by 30%.

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Most enterprises face a widening gap between the data they collect and the insights they can use. Outdated platforms, fragmented data ecosystems, and siloed AI experiments leave decision-makers without a clear signal. Regulatory complexity and data privacy obligations only make things harder.

Our data & AI services help enterprises close this gap. We modernize legacy platforms, unify and govern data pipelines, and design intelligent models that solve real business challenges. Need a cloud-native data architecture? We design it with resilience and lineage built in. Need predictive analytics or real-time ML models? Our engineers build and deploy with full observability and traceability.

Our platform engineering, combined with accelerators like Breeze.AI and KAPS, enables clients to operationalize intelligence faster, with full compliance and enterprise readiness.

Data Platform Modernization

We re-engineer legacy data platforms to cloud-native, high-performance architectures that support real-time insights, cross-functional access, and AI-readiness. Our teams ensure compliance, data governance, and smooth transition from fragmented infrastructure.

Advanced Analytics & Insights

We design analytics systems that predict, recommend, and drive action. Our solutions integrate behavioral intelligence, generate prescriptive insights, and plug directly into operational workflows, helping teams move from passive reporting to proactive decision-making.

AI/ML Implementation

We develop machine learning models aligned with industry needs and integrate them securely into business systems. Our teams manage data engineering, lifecycle automation, bias mitigation, and model explainability, so AI works responsibly and reliably.

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Data Governance & Compliance

We create governance frameworks to ensure data quality, control access, and automate compliance with standards like GDPR, HIPAA, and SOC2. Governance is built into pipelines, metadata layers, and model training to deliver audit-ready, reliable data systems.

Industry-specific Data Solutions

We bring specialized data and AI architectures customized for verticals like BFSI, healthcare, manufacturing, and more, reflecting regulatory requirements, integration needs, and business objectives specific to each domain.

Domain-aligned Intelligence

We design models and pipelines that reflect your industry logic, whether that means risk scoring in BFSI or regulatory signal extraction in healthcare, so AI decisions are transparent, explainable, and aligned to business goals.

Modern Data Architectures

Our teams bring deep expertise in modern stacks, such as Snowflake, Databricks, Redshift, and Azure Synapse, ensuring your data infrastructure supports scale, security, and real-time access.

Integrated Governance by Design

Governance isn’t an afterthought. We embed it into data pipelines, model training loops, and metadata layers to reduce regulatory risk and improve data quality.

Accelerated AI Deployment

Our accelerators, including KAPS, Breeze.AI, and GenAI-in-a-Box, reduce the time to train, validate, and deploy AI models by 30–50%, helping enterprises move from PoC to production without risk.

Outcomes That Matter

We define KPIs for every engagement, whether it's churn reduction, forecasting accuracy, or model reliability, and deliver consistently against them.

Data & AI Services

Establish High-Confidence Data Pipelines and AI Models