Arcwise

Arcwise

By connecting data warehouses and business documentation, it uses traceable AI to detect and explain business metric changes in a timely way, helping teams make decisions faster.

Last Updated 10/10/2026

About Arcwise

According to its official website, Arcwise is positioned to help teams detect metric changes early and explain the reasons behind them. It connects to existing data warehouses and BI tools (such as Snowflake, BigQuery, Databricks, and more), and ingests business documentation, metric definitions, and operational logic so that AI-generated explanations are traceable and auditable. The website states that analysis results can be viewed in the Arcwise app or embedded directly into team documents and slides. The product page also lists security and privacy measures, including SOC 2 Type II, data encryption in transit and at rest, and handling data with least-privilege access. It suits teams that already have a data warehouse, need to continuously monitor core business metrics, and want to quickly decide on their next actions.

Best for

Data teams that rely on data warehouses and BI tools for business analysis
Business leaders who need to detect metric anomalies promptly and explain the causes
Teams that want to view analysis reports directly in their documents and slide decks

Best use cases

Detect meaningful changes in business metrics early, before routine retrospectives

Generate grounded, auditable explanations of metric fluctuations, clarifying the next decision and the reasoning behind it

Embed data change reports directly into your team's documents and slide decks for easier collaboration

Features

Early Detection of Metric Changes

Identify meaningful performance changes early, before they surface in retrospectives.

AI Explanations of Metric Changes

Explains meaningful metric fluctuations; the official website claims its AI-generated content is hallucination-free and fully traceable to data and documentation.

Connect Data Warehouses and BI Tools

Securely connects to your existing data sources; examples listed on the official website include Snowflake, BigQuery, Databricks, and more.

Bring In Business Context

Ingest documents, definitions, and operational logic; Arcwise continuously learns from them to produce grounded, auditable explanations.

In-Depth Analysis Reports

Analysis reports can be viewed in the Arcwise app or embedded directly into your team's documents and slide decks.

Governance and Monitoring

Provides admin tools for tracking AI usage, reviewing query history, and enforcing security policies.

Pros

  • The official website states that AI explanations are fully traceable to data and documentation, avoiding unfounded answers
  • The official website states it only processes metadata and queries and does not store sensitive business data
  • Offers SOC 2 Type II audit and data encryption in transit and at rest
  • Supports flexible deployment with your own LLM API keys (e.g., Azure OpenAI, internal models)

FAQ

According to the official website, Arcwise only processes metadata and queries and does not store sensitive business data; data is encrypted in transit and at rest, and processing runs in the connected data warehouse.
The website mentions that you can flexibly choose to use your own LLM API keys (such as Azure OpenAI or internal models), or use keys managed by Arcwise.

Tool Information

DeveloperArcwise
Release Date10/10/2026
PricingFree