The Arcus Data Platform enables you to build intelligent AI applications on your structured and unstructured data.
Arcus manages the data workflows needed to make large-scale, complex data useful for LLMs – from ingesting and indexing the data to providing retrieval and evaluation capabilities – Arcus supports even the most complex queries on your data in your AI applications.
Ingest data from many sources and use AI agents to run computations over external data sources.
Index complex data types from PDFs with embedded tables and figures to mixed-modal data and more.
Retrieve to augment the context of your AI with your data using complex prompts involving comparisons, aggregations, numerical reasoning, and more.
Evaluate data quality, relevancy, response correctness, and identify hallucinations in the context of your AI.
Arcus understands your prompts to retrieve and compute the most relevant data to answer your questions.
Our compound AI workflows use many small LLMs to understand your query and search over your data to provide the most relevant and accurate context to your AI models.
Power your AI applications with data across complex data formats and from many underlying sources.
Effortlessly connect your underlying data – Arcus understands large-scale and heterogeneous data sources to ground the AI application with relevant and accurate context to answer your questions.
Arcus supports all major model providers, locally hosted and open-source models (incl. OpenAI, Cohere, Llama and Mistral).
Use one of our prebuilt applications, fine-tuned with domain-specific data and configured for best-in-class performance.
Arcus automatically optimizes the AI workflow to fit your data and application, while remaining customizable to your needs.
Use our managed platform, built with scale and reliability for your critical business processes, or talk to us about our private cloud offering to keep your data in your environment.
With advanced support for data privacy, security, and governance, Arcus is built with enterprise readiness from the start.