Question: Need a company that can help me build a scalable data infrastructure to support my AI projects - any recommendations?

If you're looking for a managed platform to create a data infrastructure that can scale with your AI work, Astronomer is a good option. It provides a single framework to break down data silos, deliver data to your AI workloads and automatically scale your AI applications. With more than 1500 integrations, including dbt Cloud, Snowflake, Databricks and OpenAI, Astronomer offers tools to speed up productivity and a variety of pricing tiers, so it's a good fit for companies with AI/ML workloads.

Another good option is Aiven, a single, cloud-agnostic platform that can manage your data infrastructure across multiple clouds. Aiven supports open-source technologies like Apache Kafka, PostgreSQL and OpenSearch, making it easier to build next-gen apps quickly. It has transparent and predictable pricing, strong security and expert support, making it a good fit for companies of all sizes that want to simplify data management and accelerate app development.

If you're looking for a focus on building fast, secure and scalable AI-powered apps, MindsDB is worth a look. It connects to more than 200 data sources and supports many AI/ML frameworks, with multiple AI engines, model management and observability features. MindsDB is designed for large-scale cloud operations and is geared for companies that want to rapidly adopt AI and get the cost savings that come with it.

Last, you could look at InData Labs, which provides a range of AI-powered software development services, including AI consulting, machine learning solutions and data engineering services. With experience delivering successful AI projects in many industries, InData Labs can help you build a scalable data infrastructure that meets your business needs.