About
Lumi AI is a chat-based agentic analytics platform built for enterprise teams that need fast, accurate, and trustworthy insights from complex data sources. By connecting directly to systems like Snowflake, Google BigQuery, Databricks, SAP Business Warehouse, and Amazon Redshift, Lumi automatically constructs a semantic layer that understands your business context — so users can ask questions in plain language and receive sophisticated, multi-step analyses instantly. Unlike traditional BI dashboards that rely on static reports and data request queues, Lumi proactively surfaces exceptions, anomalies, and revenue opportunities before they escalate. Its agentic AI handles everything from simple lookups to complex cross-system queries, all while exposing transparent logic and assumptions to maintain trust in results. Lumi is purpose-built for Supply Chain Planning & Visibility, Sales & Customer Insights, and Warehouse Operations. Real-world deployments have uncovered seven-figure ROI — including $60M in additional revenue identified for one customer by targeting high-potential buyer segments. Key capabilities include conversational self-service analytics, rich interactive visualizations, proactive alerting, a purpose-built query builder for power analysts, role-based access controls, SOC2 compliance, and private tenant deployment options. A 14-day free trial is available, with enterprise plans for larger organizations. Lumi is ideal for operations managers, supply chain planners, data analysts, and business leaders who need to extract maximum value from their existing data infrastructure without writing a single line of code.
Key Features
- Conversational Analytics: Ask complex business questions in plain language and receive detailed, multi-step analyses — no SQL or Python skills required.
- Auto-Built Semantic Layer: Lumi automatically connects to your data sources and constructs a business-aware semantic layer, reducing setup time and ensuring contextually accurate results.
- Proactive Insights & Alerting: Lumi's agentic AI monitors your data continuously and proactively flags exceptions, anomalies, and opportunities before they escalate.
- Rich Visualizations & Reports: Generate beautiful, interactive charts and reports on demand, directly from natural language queries, ready to embed in existing workflows.
- Enterprise Security & Integrations: SOC2-compliant with role-based access controls, private tenant options, and native connectors to Snowflake, BigQuery, Databricks, SAP BW, and Amazon Redshift.
Use Cases
- Supply chain teams querying inventory and distribution data in plain English to identify exceptions and reduce operational waste.
- Sales analysts uncovering high-value customer segments and revenue opportunities hidden in CRM and ERP transaction data.
- Warehouse operations managers receiving proactive alerts about throughput anomalies before they impact fulfillment SLAs.
- Demand planners de-averaging and re-aggregating large datasets to store-item granularity without writing custom SQL.
- Executive teams getting instant, visually rich answers to ad-hoc business questions without waiting for data team bandwidth.
Pros
- No Technical Skills Needed: Business users can run sophisticated analyses without writing SQL or Python, dramatically reducing dependency on data engineering teams.
- Proactive ROI Discovery: Goes beyond reactive dashboards — Lumi actively surfaces seven-figure optimization opportunities buried in ERP and warehouse data.
- Transparent & Trustworthy Results: Lumi shares its reasoning, assumptions, and query logic with users, enabling human-in-the-loop validation rather than blind AI outputs.
- Broad Enterprise Integration Support: Native connectors to major ERPs, cloud data warehouses, and databases mean minimal setup friction for enterprise data stacks.
Cons
- Enterprise-Oriented Pricing: Full-featured plans are tailored for large organizations, which may make costs prohibitive for small or mid-sized businesses.
- Requires Existing Data Infrastructure: Lumi enhances existing data sources but does not replace them — organizations without mature ERP or warehouse setups may see limited value.
- AI Output Validation Still Needed: Despite transparent logic sharing, complex agentic analyses may still require expert review to ensure accuracy in high-stakes decisions.
Frequently Asked Questions
What data sources does Lumi AI connect to?
Lumi AI supports native connectors to major enterprise systems including Snowflake, Google BigQuery, Databricks, SAP Business Warehouse, and Amazon Redshift, as well as other ERPs and databases.
Do I need SQL or Python skills to use Lumi AI?
No. Lumi is designed for business users of all technical levels. You can ask questions in plain English and Lumi will automatically generate and run the necessary queries, returning rich visual responses.
How does Lumi AI ensure enterprise data security?
Lumi AI is SOC2 compliant and offers role-based access controls, private tenant deployment, and secure connectors to ensure enterprise-grade data governance and privacy.
What is the pricing for Lumi AI?
Lumi AI offers a 14-day free self-service trial. Enterprise plans with full agentic capabilities and security features are available — contact Lumi for pricing details or request a demo.
What types of business problems can Lumi AI solve?
Lumi is purpose-built for Supply Chain Planning & Visibility, Sales & Customer Insights, and Warehouse Operations. It excels at uncovering root causes, identifying exceptions, detecting data quality issues, analyzing distributions, and surfacing revenue opportunities.
