Supper
Supper is an AI-native data platform that delivers natural language querying, live dashboards, and automated reporting for high-growth companies and enterprises, using proprietary semantic modeling and in-house integrations to provide verified business data answers across teams.
- Company typePrivate
- Founded2025
- HeadquartersNew York, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Supper does
Supper is an AI-native data platform that delivers a unified answer layer for business data, serving high-growth companies and established enterprises through horizontal solutions for leadership, data, GTM, customer success, and product teams. The platform connects to data warehouses (Snowflake, BigQuery, Redshift, Databricks), databases (PostgreSQL, ClickHouse, Firebolt), and SaaS tools (HubSpot, Salesforce, Pipedrive, Stripe, Mixpanel) via integrations built and maintained in-house, then encodes each customer's metrics, definitions, and business logic into a proprietary semantic model that validates every query before execution against live data.
The product consists of four core surfaces: Agent Interactions (natural language interface with multi-turn conversation memory), Dashboards (live querying at every load with agent drill-down), Skills (automated scheduled reporting), and the Accuracy Layer (semantic model validation). An MCP server extends the verified data layer to Claude, Claude Code, ChatGPT, Glean, LangChain, CrewAI, and internal Slack bots, positioning the platform as a trusted data substrate for agentic AI workflows. Forward Deployed Analysts are embedded during customer onboarding to build semantic models and validate accuracy.
Supper operates a hybrid go-to-market with a free self-serve Trial tier and three paid subscription tiers (Start, Scale, Enterprise) priced on token usage with usage-based overage billing. Distribution is entirely direct, combining product-led self-serve for smaller accounts with sales-assisted pilots and Forward Deployed Analyst services for Scale and Enterprise contracts. The company is headquartered in New York (Usual Things Inc., d/b/a Supper), employs 11-50 people, and raised an $11 million seed round led by Union Square Ventures in December 2025, with participation from BoxGroup, Inspired Capital, Torch Capital, and Avid Ventures. The company holds SOC 2 Type II certification and is GDPR-compliant, with HIPAA readiness documentation and ISO 27001-aligned encryption controls available to enterprise buyers.
Supper firmographics
Firmographics- Name
- Supper
- Legal name
- Usual Things Inc.
- Website
- https://supper.co
- Company type
- Private
- Founded year
- 2025
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Supper is an AI-native data platform that delivers natural language querying, live dashboards, and automated reporting for high-growth companies and enterprises, using proprietary semantic modeling and in-house integrations to provide verified business data answers across teams.
- Ownership category
- akta.pro rank
Where Supper is headquartered
LocationHeadquarters
- HQ city
- New York
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Supper business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Operations, Marketing or Sales, Infrastructure
Revenue model
- Platform Subscription: Token-based subscription pricing with tiered plans (Trial, Start, Scale, Enterprise). Plans include token allowances with overage charges per 1,000 tokens. Includes Forward Deployed Analyst support at various levels.
- Usage-based Overage: Overage charges applied when token consumption exceeds plan allowance, billed at flat per-1,000-token rate. Simple questions consume ~50 tokens, multi-step analyses ~250 tokens, complex projects ~1,000 tokens.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Free tier with 1 connected data source, pay-as-you-go overage |
| Subscription | Monthly | Start tier for small companies building data infrastructure |
| Subscription | Monthly | Scale tier for growing companies needing more data and automation |
| Subscription | Multi-year contract | Enterprise tier with unlimited data sources and custom SLA |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels6 records
Supper product offering
Product offeringCore offering
Supper is an AI-native data agent platform that connects to a company's data warehouses, databases, and SaaS tools, builds a company-specific semantic model of metrics and business logic, and lets any business user ask questions in plain English to receive verified answers, live dashboards, and automated reports. The platform validates every query against the semantic model before execution, eliminates the data ticket queue, and exposes the same verified answers to external AI tools via an MCP server.
Product overview
Supper is an AI-native data platform offering a unified system with four core product surfaces: Agent Interactions (natural language querying), Dashboards (live data visualization), Skills (automated reporting), and the Accuracy Layer (semantic model validation). The platform is delivered through tiered pricing (Trial, Start, Scale, Enterprise) with optional Forward Deployed Analyst services for hands-on implementation support. An MCP server enables integration with external AI tools. All plans include security compliance (SOC 2 Type II, GDPR) with enterprise features like field-level controls and BYO infrastructure available at higher tiers.
Differentiator
Problem solved
Functional benefit
Products and services
- Agent Interactions Natural language interface that lets any team member ask business questions in plain English and receive verified answers drawn from live data, with the agent showing its reasoning, the SQL/Python query used, and the underlying sources. Supports multi-turn conversation memory and proactively surfaces patterns observed in the data. For business users across leadership, data, GTM, customer success, and product teams.
- Dashboards Live data dashboards that query fresh data at every page load rather than on scheduled refreshes. Any metric can be clicked to drill down with the agent for an explanation of what drove changes, eliminating stale dashboard reports.
- Skills Automated reporting capability that converts agent conversations into repeatable Skills scheduled on a cadence and delivered to email, Slack, or dashboards. Skills include refresh logic that adapts parameters at runtime, eliminating manual recurring reports.
- Accuracy Layer Company-specific semantic model that encodes metrics, definitions, and business logic. Validates every AI-generated query against the model before execution against live data, ensuring consistent, auditable answers across the organization.
- Forward Deployed Analysts Embedded senior data experts who work with customers during onboarding to connect data sources, build the semantic model, and validate accuracy. Ongoing engagements are available as add-ons for continued support and complex analyses.
- MCP Server Model Context Protocol server that exposes Supper's verified answers, semantic model, and data query capabilities to any MCP-compliant AI assistant or agent. Enables verified business data to be queried directly within Claude, Claude Code, ChatGPT, Glean, LangChain, CrewAI, and custom agent stacks, with permissions and audit trail traveling with each call.
Quantifiable outcome
- 7-8 hours saved per analyst per week on ad-hoc reporting
- +4 more outcomes
Companies that use Supper
Customer profileNamed customers9 records
Segments6 records
Ideal customer profiles2 records
Supper technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration19 records
AI capability9 records
Feature7 records
Supper partnerships and signals
Strategic signalPartnerships
Eleven partnerships are on record, tiered core.
- Anthropic (Claude)coreSupper's MCP server integrates with Claude, allowing users to ask data questions directly within Claude conversations. Two-minute OAuth setup with no code required.
- Claude CodecoreClaude Code has Supper's MCP available as a connected tool, enabling developers to query live business data directly from development sessions.
- Model Context Protocol (MCP) EcosystemcoreSupper follows open MCP standard, allowing integration with any AI tool that supports MCP including ChatGPT, Glean, LangChain, CrewAI, and internal Slack bots.
- SnowflakecoreCloud data warehouse integration. Supper connects via dedicated read-only account and queries live data directly.
- BigQuerycoreGoogle Cloud data warehouse integration. Read-only connection with direct live querying.
- Amazon RedshiftcoreAWS data warehouse integration. Read-only connection with direct live querying.
- DatabrickscoreData lakehouse platform integration. Read-only connection with direct live querying.
- HubSpotcoreCRM integration. Supper operates as a data warehouse for HubSpot, authenticating directly and pulling data on demand or nightly.
- SalesforcecoreCRM integration. SaaS tool connection with schema model built and maintained by Supper.
- StripecorePayments integration. Revenue data at transaction level including MRR, churn, expansion, and refunds calculated from actual payment records.
- AWS (Amazon Web Services)coreInfrastructure provider. Encryption at rest via AWS KMS, BYO S3 option writes outputs to customer AWS bucket.
Scale indicators7 records
Recent moves6 records
Expansion highlights6 records
Supper competitors and assessment
Company assessmentDirect peers
- ThoughtSpot: AI-powered analytics platform with natural-language search-driven BI. Directly comparable to Supper in the conversational/AI BI category, though positioned at larger enterprise customers.
- Domo: Cloud BI and data visualization platform with AI features (DomoAI). Comparable to Supper as an end-to-end BI platform, though with broader legacy footprint and very different price point.
- Mode Analytics: Analytics platform combining SQL/Python notebooks, dashboards, and exploratory analysis. Competitor to Supper in the modern BI category with overlapping customer base of analytics-driven companies.
- Sigma Computing: Cloud-native BI platform with a spreadsheet-style interface for querying cloud data warehouses. Closely comparable to Supper on the AI-native cloud BI axis and serves similar high-growth B2B customer profiles.
- Hex: Collaborative data workspace combining notebooks, apps, and AI-powered querying. Directly comparable to Supper as an AI-augmented analytics platform targeting data teams and business users at growth-stage companies.
Broad incumbents
- Power BI: Microsoft's flagship BI platform bundled into the Microsoft 365 / Azure ecosystem with Copilot AI features. Represents the most significant competitive threat via bundled pricing and Microsoft Fabric data stack integration.
- Tableau: Largest installed-base BI platform, owned by Salesforce, now adding Einstein/AI capabilities. Competes with Supper in the broader BI category with massive enterprise footprint but a less AI-native architecture.
- Looker: Enterprise BI platform owned by Google Cloud with deep semantic modeling (LookML) and integration with BigQuery. Directly comparable semantic-layer approach to Supper's Accuracy Layer, but as part of a much larger Google Cloud portfolio.
Emerging players
- Snowflake Cortex: Snowflake's native AI/ML features including Cortex Analyst for natural-language-to-SQL within the data warehouse. Emerging competitor that could disintermediate BI-layer tools like Supper by enabling direct conversational querying inside the warehouse.
- Databricks AI/BI (Genie): Databricks' AI/BI Genie product for natural-language querying of lakehouse data. Comparable to Supper as an emerging AI-driven BI surface, with the advantage of being bundled into a major data platform and Unity Catalog.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Supper social profiles
Digital presenceSupper compliance and trust
Trust signalCompliance4 records
Supper financial estimates
Financial estimateRevenue estimate
Valuation estimate
Supper leadership team
Management profileNumber of profiles
Profiles4 records
Supper funding detail
Funding detailFunding overview
Funding rounds2 records
Investors5 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Supper M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Supper
What does Supper do?
Supper is an AI-native data agent platform that connects to a company's data warehouses, databases, and SaaS tools, builds a company-specific semantic model of metrics and business logic, and lets any business user ask questions in plain English to receive verified answers, live dashboards, and automated reports. The platform validates every query against the semantic model before execution, eliminates the data ticket queue, and exposes the same verified answers to external AI tools via an MCP server.
Is Supper a public or private company?
Supper is a private company. It is classified as venture growth investor backed and is currently operating.
When was Supper founded?
Supper was founded in 2025. It employs 11 to 50 people.
Where is Supper based?
Supper is headquartered in New York, United States, in the North America region.
How does Supper make money?
Two revenue lines are on record. Platform Subscription is the primary driver. The others are usage-based Overage.
Who are Supper's main competitors?
Direct peers on record are ThoughtSpot, Domo, Mode Analytics, Sigma Computing and Hex. Broad incumbents are Power BI, Tableau and Looker. Emerging players are Snowflake Cortex and Databricks AI/BI (Genie).
Does Supper have an API?
Yes. Supper exposes a full MCP (Model Context Protocol) server that allows AI assistants to query business data, retrieve structured row data, and access semantic model context. Available on Scale and Enterprise plans. Uses OAuth authentication. No public REST API mentioned.