Julius AI vs Loam

Julius AI has no write-up on Specifiction yet; its figures are above.

Loam stores supported files and connected business data so authorized AI tools can query it and ground answers in rows. It accepts formats including CSV, Excel, Parquet, TSV, and JSON, and connects to tools such as ChatGPT, Claude, and Cursor through an MCP-compatible setup. The service is aimed at teams without a dedicated data team, including sales and marketing groups and company founders. Queries use the connected Loam account’s current access, and table permissions are checked when each request runs. Users can limit an AI’s access to selected data, such as allowing revenue while excluding payroll. Loam says uploaded and connected data is not used to train AI models and can be deleted by users; providers such as Google, OpenAI, and Anthropic process data to generate results and do not use it to train their models. The web upload interface accepts files up to 100 MB. The free Individual plan supports one person, file uploads, grounded questions, and supported AI connections. Individual Pro costs $399 a year, with a 39 USD monthly option; Team costs $499 a year, with a two-seat minimum and a 49 USD per-seat monthly option. The terms prohibit storing protected health information, primary cardholder information, or other sensitive information.