Full AI
Complete AI answer with formatted markdown, bullet insights, data summary, and auto-selected chart.
LLM + full datatableArth.ai is built for B2B software that ships to customers of every privacy posture — from cloud-native to fully local. Set the mode per customer, per workspace, or per data table.
Rich answers with chart and insight. LLM sees the full table.
Text values tokenized before the LLM. Original values restored in output.
AI sees column statistics. Full table rendered locally — answer context uses statistics.
Pure server-side rendering. Local answer formatting; query planning may still use a model.
These modes govern answer composition; query planning may still use an AI model.
Plus API key + origin guard — every widget locked to your domain.
Same engine, four operating profiles. Configure per customer, per table, or per plan tier.
Complete AI answer with formatted markdown, bullet insights, data summary, and auto-selected chart.
LLM + full dataText values tokenized before the LLM. AI answers with masked data; original values restored in the output your users see.
LLM + tokens onlyAI generates narrative from column statistics. Full data table rendered locally — rows never exposed to the model.
LLM + aggregatesPure server-side rendering with deterministic templates. No answer-composition model call; query planning may still use a model. Maximum data privacy and infrastructure control.
Local answer renderingEvery API key is bound to your domains. Requests from any other origin are rejected at the edge.
Locked to your domainReview workspace access, agent configuration, and available audit records with your administrator. Confirm identity-provider requirements for your deployment.
Workspace access · Agent settingsYou configure the mode at workspace level. The widget, the API, and the Chrome extension all inherit the same policy — your customers never see a less-strict surface by accident.
defaults: mode: full_ai log_queries: true byo_llm: false overrides: # EU enterprise tenants stay masked. - match: customer.region == "EU" mode: masked # Choose local answer formatting for PII. - match: table.tags.contains("pii") mode: local_template
Full AI uses query results to compose answers; Masked data tokenizes text values; Hybrid uses column statistics for the answer; Local template formats answers server-side. These modes govern the answer stage. Query planning can still use an AI model.
Configure the answer privacy mode for your agent and review the available controls with your administrator. Confirm the settings used by each integration before rollout.
Data handling depends on your model provider and deployment configuration. Review the applicable retention and training terms with the team. Local answer formatting does not guarantee that no information leaves the query pipeline.
Configure allowed origins and protect API credentials. Origin validation complements authentication; it does not replace server-side identity and access controls.
Model and provider options depend on your deployment. Contact us to review supported providers, keys, access controls, and rollout requirements.
Request current security documentation from our team. For the current status and to review our controls, book a security review and we'll walk through the specifics for your rollout.
We’ll walk through the exact policy you’d set for your customer base.