Scaling AI with expertise, innovation, and global reach
Build, deploy, and scale AI/ML models with a global data science approach—leveraging offshore, nearshore, and onshore expertise to drive efficiency, innovation, and ROI.
AI without limits
Enterprises are rapidly expanding their AI capabilities, but scaling model development efficiently remains a challenge. Many are navigating infrastructure inconsistencies, high talent costs, and the need for seamless AI/ML operations. Tavant enables organizations to overcome these hurdles with global AI operating models—leveraging offshore expertise, modern AI/ML platforms, and scalable frameworks to drive innovation and efficiency.
Perspectives
Offerings
AI Model Development & Optimization
Model Design
Build AI/ML models tailored to specific business objectives and priority use cases.
Model Training
Train models for accuracy, performance, scalability, and production readiness.
Performance Optimization
Improve model efficiency, precision, responsiveness, and runtime performance.
Business Validation
Validate model outcomes against measurable business and operational objectives.
AI-Powered Product Enablement
AI Feature Engineering
Embed intelligent capabilities into digital products and enterprise solutions.
Data Intelligence
Turn enterprise data into actionable insights that strengthen product decisions.
Experience Enhancement
Use AI to personalize interactions and improve customer and user experiences.
Product Optimization
Improve AI-enabled products continuously using performance and usage insights.
Model Modernization & MLOps Integration
Legacy Modernization
Migrate legacy analytics and AI workloads to modern, scalable technology platforms.
Framework Transformation
Modernize existing models, codebases, tools, and development frameworks.
MLOps Integration
Embed automated deployment, monitoring, governance, and lifecycle workflows.
Continuous Improvement
Enable ongoing model updates, optimization, and sustained production performance.
AI Model Lifecycle Management
Model Monitoring
Track model health, drift, accuracy, reliability, and production performance.
Model Retraining
Refresh models with new data to maintain relevance, accuracy, and business value.
Version Management
Manage model versions, updates, approvals, releases, and deployment histories.
Lifecycle Governance
Establish controls for consistent, reliable, and governed model operations.
Scalable Data Science Infrastructure
Reusable Platforms
Build standardized AI/ML environments that accelerate data science delivery.
Scalable Compute
Enable flexible infrastructure for demanding model training and AI workloads.
Deployment Infrastructure
Support reliable, repeatable model deployment across production environments.
Cost Optimization
Optimize infrastructure utilization and spend while maintaining performance.
Tavant Advantage
Continuous AI Innovation
Our dedicated AI R&D engine keeps businesses ahead with innovative technology and scalable AI architectures.
Enterprise-Grade AI Platforms
Extensive experience with AWS Sagemaker, Azure ML, and GCP AI, enabling seamless AI adoption and deployment.
Flexible & Scalable Engagement
A proven onshore-offshore-nearshore model tailored to specific business needs—never a one-size-fits-all approach.
Industry Expertise & Data Excellence
Deep domain knowledge across various industries with experience in high-volume, real-time data environments.
Tavant merges deep mortgage expertise with cutting-edge technology — from machine learning to data science — in a way that's genuinely unique in this industry.
Scott Weeks
CIO, LendUS
The platform is so intuitive that we're getting compliments on ease of use across our dealer network, with minimal training required.
Lisa Schosker
Director, Global Warranty Administration, AGCO Corporation
Tavant came in already understanding our industry, which let us ramp up quickly without sacrificing quality.
Sherry Samuels
Senior Director, CoreLogic
Tavant Global Data Science Factory
Industrialize Data Science at Scale.
Accelerate model development, modernization, lifecycle management, and deployment with a scalable data science operating model built for enterprise impact.
FAQs
A global operating model for building, deploying, and scaling AI/ML models that combines offshore, nearshore, and onshore expertise to drive efficiency, innovation, and ROI.
Infrastructure inconsistencies, high talent costs, and the need for seamless AI/ML operations — addressed through global AI operating models, modern AI/ML platforms, and scalable frameworks.
Four offerings: AI Model Development & Optimization, AI-Powered Product Enablement, Model Modernization & MLOps Integration, and AI Model Lifecycle Management.
Designing, training, and deploying high-performance AI/ML models tailored to business objectives, with a focus on accuracy, scalability, and measurable impact.
Yes — Model Modernization & MLOps Integration helps organizations transition from legacy frameworks like R and SAS to modern platforms, while integrating MLOps for seamless deployment, monitoring, and continuous improvement.
Building reusable, high-performance AI/ML platforms that enable efficient model deployment, compliance, and cost optimization.
Using AI-driven insights, optimizing data assets, and enhancing customer engagement through intelligent solutions.
AWS SageMaker, Azure ML, and GCP AI, supporting seamless AI adoption and deployment, backed by a dedicated AI R&D engine focused on continuous AI innovation.