Every year 30 million Data Analysts in engineering, science, healthcare, and finance waste $80 billion on fragmented AI solutions.
Building machine learning models is only seemingly accessible to highly trained software engineers, data scientists, and AI specialists.
We are in the business of changing this by using AI to transform Data Analysts into Data Innovators.
Our platform empowers analysts to accelerate insights and discoveries by using AI to automate data transformation, model development, and infrastructure selection. We are building a suite of AI agents that automate every step of the model development lifecycle.
We realize that no-code ML solutions cannot keep pace with rapid innovation in AI, so we empower analysts to bring their tools, open-source frameworks, and code. Use our agents for all or part of the model training process.
Our services are designed to work with the tools and environments you’re already familiar with, such as Jupyter or Excel, so you can hit the ground running.
We are developing models that assist analysts in transforming data, extracting features, and establishing a training pipeline. From identifying outliers to converting data into a training-ready format or fine-tuning, we enable analysts with tools to prepare both unstructured and structured data sources.
You shouldn't have to be a hyperscaler expert to reserve, acquire, and configure infrastructure for model training. We use AI to inspect your dataset, code, and model training objectives to discover, provision, and manage the most suitable and cost-effective infrastructure for the job. Our motto is "zero IT"—analysts should not need IT support to use AI in finding the next insights and discoveries.