AI & ML Operations Optimized for Peak Efficiency
Cut Costs, Boost Performance, and Streamline AI/ML Operations with Proven Expertise and Intelligent Automation.
Maximize AI/ML Performance While Reducing Maintenance Costs
Managing AI/ML models can be complex and costly, with constant tuning, optimization, and compliance needs. Beyond initial development, enterprises face ongoing expenses for data pipeline enhancement, compute resource consumption, and model deployment. Our AI-powered solutions streamline every phase of AI/ML operations—cutting maintenance costs, improving model performance, and ensuring seamless compliance, letting your teams focus on innovation.
Offerings
We build end-to-end AI/ML Ops solutions that streamline and automate the machine learning lifecycle, from CI/CD pipelines and feature stores to model training, deployment, and observability. Our reusable templates, orchestration frameworks, and monitoring capabilities accelerate model delivery and ensure operational excellence and scalability.
We design and implement custom AI/MLOps platforms that empower data science teams with self-service capabilities, robust infrastructure-as-code frameworks, and integrated model operationalization support. Our platforms enable faster experimentation, improved governance, and seamless production deployments.
Tavant provides comprehensive managed services for production model monitoring, incident management, and on-call support to ensure model health and business continuity. Our proactive observability frameworks help organizations minimize downtime, manage risks, and optimize AI system performance.
We offer strategic technology consulting to assess ML maturity, develop AI/MLOps roadmaps, and provide tooling, architecture, and compliance advisory. We help organizations maximize ROI from AI Investments, accelerate operationalization efforts, and establish scalable, future-ready AI governance frameworks.
Offerings
We build end-to-end AI/ML Ops solutions that streamline and automate the machine learning lifecycle, from CI/CD pipelines and feature stores to model training, deployment, and observability. Our reusable templates, orchestration frameworks, and monitoring capabilities accelerate model delivery and ensure operational excellence and scalability.
We design and implement custom AI/MLOps platforms that empower data science teams with self-service capabilities, robust infrastructure-as-code frameworks, and integrated model operationalization support. Our platforms enable faster experimentation, improved governance, and seamless production deployments.
Tavant provides comprehensive managed services for production model monitoring, incident management, and on-call support to ensure model health and business continuity. Our proactive observability frameworks help organizations minimize downtime, manage risks, and optimize AI system performance.
We offer strategic technology consulting to assess ML maturity, develop AI/MLOps roadmaps, and provide tooling, architecture, and compliance advisory. We help organizations maximize ROI from AI Investments, accelerate operationalization efforts, and establish scalable, future-ready AI governance frameworks.
Why Tavant
Proven Cost Optimization
Global AI/ML operations team with L1/L2 support.
Automation-Driven Efficiency
Innovative tools to minimize errors, reduce manual effort, and drive cost savings.
Enterprise AI Expertise
Experience with AWS Bedrock, Google Gemini, and Microsoft AI Foundry.
Faster ROI
Pre-built accelerators for rapid AI/ML deployment and maintenance.
Scalable Global Model
Cost-effective offshore services for AI/ML operations.
Success Stories
Managed over 100 AI data pipelines, reducing resolution time by 50% and L2/L3 engineer engagement by 30%.
Onboarded all ML workloads, expanded the MLOps team, and optimized processes for efficiency.
Improved model efficiency and implemented a costing methodology, achieving 50% cost savings.
Managed millions of subscriber data points to optimize the streaming experience.
Optimized AI/ML Operations for a Global Tech Company
Managed over 100 AI data pipelines, reducing resolution time by 50% and L2/L3 engineer engagement by 30%.
Built a Scalable MLOps Platform for a Leading Real Estate Data Provider
Onboarded all ML workloads, expanded the MLOps team, and optimized processes for efficiency.
Enhanced AI Performance for a Digital Media Company
Improved model efficiency and implemented a costing methodology, achieving 50% cost savings.
Streamlined MLOps & DataOps for a Global Streaming Media Giant
Managed millions of subscriber data points to optimize the streaming experience.
