Advanced AI/ML and data science services built on cloud-native platforms, real-time data pipelines, and secure governance frameworks.
Talk to Our ExpertsCustom analytics and ML models are designed, trained, and governed on secure cloud data estates, translating complex datasets into auditable, business ready decisions.
We enable production grade MLOps pipelines for secure model deployment, monitoring, versioning, and access control, ensuring reliable AI operations.
AI ready data foundations are established on Azure and Microsoft Fabric, reinforced with Purview led governance, lineage, classification, and policy driven access controls.
Every organization collects data for AI and ML pipelines, but only a few turn it into intelligence. Data complexity, quality issues, and governance gaps create friction that stops AI from becoming truly operational.
LevelShift solves this by connecting the entire pipeline with its data science services: high-quality data, governed modeling, secure deployment, and continuous monitoring, so AI becomes a reliable, production-ready capability for businesses.
Data science bridges that gap: transforms historical patterns, live data streams, customer behavior signals, and operational metrics into meaningful predictions.
We begin by understanding your business questions, exploring your data, and identifying the strongest opportunities for predictive and prescriptive modeling.
We build models using proven frameworks, evaluate their performance, optimize fairness and accuracy, and deploy them into secure, scalable environments.
As a Microsoft Solution and Fabric Featured Partner, LevelShift can help you secure ECIF funding and take advantage of Microsoft Azure Consumption Commitment (MACC) for your PoC and implementation.
Explore Funding OptionsMost vendors run isolated POCs that never reach production. We design end-to-end data science programs that include use-case discovery, data quality remediation, MLOps engineering, Purview-based governance, secure model deployment, and real adoption across business units—not just model experiments.
Yes. We specialize in Fabric ML, Azure ML, Synapse ML, and hybrid architectures, including model training, pipeline orchestration, feature store management, evaluation, and secure model hosting aligned to Microsoft's data ecosystem.
Yes. We integrate ML outputs into CRM, ERP, supply-chain, productivity, and operational systems through APIs, Fabric pipelines, Power Platform, and secure event triggers so insights become part of daily decision-making.
Absolutely. MLOps automation, CI/CD, versioning, and monitoring are core parts of our service.
Yes. We address data readiness, lineage gaps, metadata enrichment, access boundaries, masking, and compliance using Microsoft Purview, Fabric governance controls, and DCS frameworks so your data platforms are trustworthy enough for AI.
Yes. We build LLM-based assistants, document intelligence solutions, and agent workflows.