Analytics Solutions for Every Industry

Knowi supports analytics for any industry that works with data. Current solution pages cover IoT, banking, healthcare, telecom, manufacturing, SaaS, retail, e-commerce, fintech, energy, education, logistics, government, media, and supply chain. Because Knowi connects directly to 30+ data sources — SQL, NoSQL, time-series, REST APIs, and files — it adapts to any industry's data landscape without requiring custom connectors.

No. Unlike Tableau and Power BI, which require you to first consolidate data into a warehouse like Snowflake or BigQuery, Knowi connects directly to your operational databases and joins data across sources in a single query. You can go from raw data to a production dashboard in minutes. If you already have a warehouse, Knowi works with that too — it's warehouse-optional, not warehouse-opposed.

Knowi connects to over 30 data sources natively, including PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, Couchbase, Cassandra, InfluxDB, TimescaleDB, Elasticsearch, REST APIs, Amazon Redshift, Snowflake, BigQuery, and flat files (CSV, JSON, Excel). You can join data across any combination of these sources in a single query without moving data to a central location.

Yes. Knowi includes natural language search that lets anyone type a question in plain English — like "show me top customers by revenue this quarter" — and get an instant chart. No SQL, no training required. This is especially valuable in industries like healthcare, government, and education where the people who need data most often don't have technical backgrounds.

The biggest differences: Knowi doesn't require a data warehouse (Tableau and Power BI do), Knowi can join data across different source types in a single query (cross-source joins), Knowi includes built-in machine learning and anomaly detection (Tableau and Power BI require separate tools), and Knowi supports native embedded analytics with white-label and multi-tenant security (Tableau charges extra for Embedded Analytics, Power BI Embedded has per-render pricing). Knowi also supports on-prem deployment for industries like government, healthcare, and banking that need data to stay on their infrastructure.

Yes. Knowi supports embedded analytics via iFrame, JavaScript SDK, or API with full white-label customization. You can remove all Knowi branding, match your product's look and feel, and enforce multi-tenant row-level security so each customer sees only their own data. This is used by SaaS companies, fintech platforms, healthcare IT vendors, and media companies to ship analytics inside their products.

Yes. Knowi can be deployed fully on-prem via Docker or Kubernetes, so your data never leaves your infrastructure. This is critical for government agencies handling classified data, healthcare organizations subject to HIPAA, and banks with strict data residency requirements. BAA is available for healthcare. SOC 2 Type II certification covers the managed cloud option.

Knowi includes built-in machine learning for anomaly detection, trend forecasting, and clustering — no separate ML tools required. It also supports natural language querying so users can ask questions in plain English. You can also connect external ML models (Python, R, SageMaker) and use their output directly in dashboards. Anomaly detection runs automatically on any metric and sends alerts via email, Slack, PagerDuty, or webhook.

Most teams connect their first data source and build a working dashboard within minutes. There's no ETL pipeline to set up, no data warehouse to provision, and no schema modeling required. Connect your database or API, write a query (or use the visual query builder), and drag widgets onto a dashboard. Knowi's team also offers guided onboarding where they build a working dashboard with your data on the first demo call.