phData develops scalable AI and Data Applications and brings them into production on AWS for large enterprises. Our services include infrastructure optimization, task automation, data migrations, modernizations, advanced analytics, AI model development, and 24/7 Managed Services. Our expertise empowers enterprises to leverage data effectively for continuous growth.
phData's Elastic Operations for AI service enhances the performance and cost-efficiency of your AI and machine learning applications by leveraging AI best practices on AWS. This managed service ensures reliable deployment, continuous monitoring, and robust security, enabling organizations to operationalize their AI models effectively and achieve sustained success.
Machine learning engineering services with expertise across data science, engineering, and AWS to get your models into production.
The AI Governance Program Design helps you build a scalable AI capability. We focus on ensuring the appropriate guardrails are in place to make the most from your AI investment.
Let phData help you define an actionable data strategy that will prepare you to build a successful operational data platform.
This high-level assessment identifies how you can bring market-leading AI capabilities into your organization. The assessment starts with processes for introducing AI and targets the appropriate level of maturity for short-term benefit to unlock long-term success.
Implement a chatbot that allows you to ask questions to contracts in natural language for rapid insights.
Data engineering services for streaming, batch, and interactive data products on AWS.
A focused engagement to identify gaps in your organization's AI landscape and create a business-driven roadmap. This offering delivers a practical, actionable plan covering people, processes, and technology to drive successful AI adoption.
phData Cloud DataOps is an end-to-end service for reliably getting your data products into production. It provides you with the automation, coaching, and 24×7 operational services you need to ensure success with today’s modern, cloud-based data platforms.
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