Supper

What Supper does

Supper is an AI-native data platform that makes a company's information as easy to use as a conversation. It connects to all data systems, cleans and unifies data, learns unique company metrics, and keeps everything live and auditable. Supper provides a single answer layer for the entire company, connecting every source in the data stack, understanding business operations, and delivering verified answers, live dashboards, and automated reporting without relying on a data team. It aims to solve problems like data request backlogs, overwhelming dashboards, and outdated reports by allowing anyone to ask questions in plain English and receive clear, trusted answers instantly. The platform guides users with follow-ups, clarifies intent, and helps them drill into specific data needs, from sales tracking to product adoption and finance monitoring.

Products

• Agent InteractionsAllows users to ask questions in plain language and receive verified answers with reasoning, queries, and sources. It has full conversation memory and proactively identifies insights.
• Accuracy LayerEnsures correct answers by running every question through a semantic model built specifically for the company's metrics, definitions, and business logic before generating a number. It maps data sources, applies business logic, writes and validates queries, and runs against live data with an audit trail.
• DashboardsLive dashboards that query data at load time, eliminating scheduled refreshes and stale exports. Users can click into numbers, and the agent explains changes.
• SkillsEnables users to save any analysis or agent conversation as a 'Skill' to be scheduled, run automatically, validated against the semantic model, and delivered to relevant stakeholders.

Key capabilities

• AI-native data platform
• Plain English querying
• Verified answers in seconds
• Semantic model generation
• Live dashboards and charts
• Automated reporting and workflows (Skills)
• Connects to warehouses, databases, and SaaS tools
• No third-party connectors; integrations built and maintained by Supper
• No data cached or stored outside your Supper environment (for most plans)
• Full audit trail on every answer
• Granular access controls
• Field-level privacy controls (FLC)
• Bring-your-own infrastructure (BYO LLM, BYO storage)
• SOC 2 Type II compliant
• GDPR-compliant
• Encryption at rest (AWS KMS) and in transit
• Read-only connection to data warehouses
• IAM roles for internal service-to-service access
• Least-privilege access enforcement
• User entitlements (schema, table, column-level permissions)
• Automated self-serve onboarding
• Forward Deployed Analyst support
• Premium Slack support
• Answer validation
• Custom semantic layer development
• Custom onboarding
• API access
• Custom chart styling and white-labelling

Use cases

• Sales tracking pipeline velocity
• Product digging into adoption
• Finance monitoring margins
• Validating hypotheses for product teams
• Tracking feature rollouts
• Quantifying product impact
• Understanding adoption, activation, retention, and expansion
• Centralizing definitions for product metrics
• Board reporting
• Monthly meetings reporting
• Strategic product development
• Delegating and sharing data across departments
• Monitoring company performance for leadership teams
• Breaking down growth and retention by segment, product, region, cohort, or customer
• Consistent storytelling for board meetings, fundraises, and all-hands
• Reducing ad-hoc data requests for engineering teams
• Automating repetitive reporting tasks

AI approach

Supper is an AI-native data platform that uses an AI chat agent to allow business teams to ask questions in plain English and receive clear, trusted answers. It connects to various data systems, cleans and unifies data, learns company-specific metrics, and provides live and auditable information. The platform includes an "Accuracy Layer" that builds a semantic model around a company's specific metrics, definitions, and business logic to ensure accurate answers, rather than just generating SQL. It also features agent interactions, live dashboards, and "Skills" for automated reporting.

Tech named: AI-native data platform, AI chat agent, semantic model, SQL, Python, LLM

Industries served

• Fintech
• Banking
• Logistics
• High-growth companies

What it says sets it apart

• AI-native platform designed for conversational data interaction
• Proprietary semantic model built specifically for each company's unique metrics and business logic, ensuring accuracy and consistency
• Integrations are built and maintained in-house by Supper, avoiding third-party connector issues and ensuring reliability
• Queries run directly against live data in the customer's warehouse, with no data copies or storage outside the customer's environment (by default)
• Comprehensive security features including SOC 2 Type II, GDPR compliance, field-level controls, and BYO infrastructure options for enterprise clients
• Forward Deployed Analyst included with onboarding to ensure successful setup and semantic model development
• Eliminates data request backlogs and reliance on data teams for basic queries
• Provides full audit trail for every answer, showing reasoning, query, and sources
• Transforms manual, time-consuming reporting into automated 'Skills'
• Focuses on providing trusted, consistent answers across all teams, resolving discrepancies in metrics

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.