Count
Count Technologies Ltd. is a London-based collaborative agentic analytics platform that unifies SQL, Python, AI agents, and visualizations in a single canvas for data teams, product/growth teams, and business leaders at data-led companies, sold via freemium SaaS with enterprise tiers.
- Company typePrivate
- Founded2016
- HeadquartersLondon, United Kingdom
- Headcount501–1,000
- GTM typeB2B
- OfferingSoftware
What Count does
Count Technologies Ltd. (operating as Count) is a London-based, privately-held software company that builds a collaborative agentic analytics platform for data-led organizations. Founded in 2016, the company operates with 11–50 employees and is incorporated in the United Kingdom. Its core product, Count Canvas, is a unified workspace that combines SQL queries, Python code execution, AI-assisted analysis, interactive visualizations, and presentation-style reporting into a single collaborative surface. The platform is built on an in-memory DuckDB compute layer that supports browser (120MB) and server (32GB) modes, allowing exploratory workloads to be offloaded from primary data warehouses.
Count's product portfolio includes the Canvas workspace, the Count AI Agent (powered by models from Anthropic, OpenAI, and Google), Count Metrics (a semantic layer for shared business definitions), a Public REST API on Scale plans, and an MCP (Model Context Protocol) Server that connects Count data to external agent workflows and Slack. The platform connects natively to more than a dozen data sources including Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, MySQL, ClickHouse, Athena, Synapse, and Google Sheets. Recent product milestones include platform general availability in mid-2025 and the July 2025 release of agent context controls, rule settings, and source boundaries for governing AI agent behavior. The company holds SOC 2 Type II, HIPAA, and GDPR certifications.
Count operates a freemium product-led growth model combined with enterprise field sales. A free tier enables self-serve sign-up with no credit card, while Scale and Enterprise tiers (sold on annual and multi-year contracts) unlock the public API, SSO, SOC 2/HIPAA compliance, role-based permissions, and dedicated account management. Customers span data teams, product and growth teams, and business leaders — with named enterprise and mid-market accounts including Accenture, Bumble, Writer, Docebo, Funding Circle, Omnipresent, Cleo, Moneybox, LeadIQ, MUBI, JustPark, Insurello, and Kit across financial services, technology, entertainment, marketing technology, and family finance verticals. The company has raised a disclosed $2.4M seed round (led by LocalGlobe with Global Founders Capital) plus two subsequent rounds from TheVentureCity, and reports no disclosed revenue.
Count firmographics
Firmographics- Name
- Count
- Legal name
- Count Technologies Ltd.
- Website
- https://count.co
- Company type
- Private
- Founded year
- 2016
- Operating status
- Operating
- Headcount range
- 501–1,000 employees
- Short description
- Count Technologies Ltd. is a London-based collaborative agentic analytics platform that unifies SQL, Python, AI agents, and visualizations in a single canvas for data teams, product/growth teams, and business leaders at data-led companies, sold via freemium SaaS with enterprise tiers.
- Ownership category
- akta.pro rank
Count industry classification
Industry- Product category
- Business Intelligence & Analytics Software
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM) (BPAEAHAC)
Keywords
Where Count is headquartered
LocationHeadquarters
- HQ city
- London
- HQ country
- United Kingdom
- HQ region
- Europe
Markets served
Count business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- SaaS Subscription: Count operates as a cloud-based SaaS platform with subscription pricing. The platform offers a free tier for individual users to get started, with paid plans for teams and enterprises requiring additional features, support, and governance capabilities.
- Enterprise Licenses: Enterprise and Scale plans offer advanced features including SOC2 compliance, HIPAA support, SSO, enhanced security controls, workspace management, and API access. Pricing is likely tiered based on seat count and feature requirements.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Others | Free tier for individual users to explore and build canvases |
| Subscription | Annual | Scale plan with advanced features, API access, and enterprise controls |
| Subscription | Multi-year contract | Enterprise tier with full security, compliance, and dedicated features |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels8 records
Count product offering
Product offeringCore offering
Count provides a collaborative analytics SaaS platform that lets teams build, share, and automate data analyses directly on top of cloud data warehouses. Its product suite centers on a spreadsheet-like Canvas, an AI Agent for natural-language querying, Count Metrics for a semantic data layer, a Public API for programmatic access, and an MCP Server for integration with AI assistants.
Product overview
Count is a collaborative agentic analytics platform consisting of a unified product portfolio. The core offering is Count Canvas, a collaborative workspace where teams explore data using SQL, Python, and AI-assisted analysis. The Count AI Agent powers natural language data querying and autonomous exploration, integrated directly into the Canvas. Count Metrics provides a semantic layer for metric governance and self-service. The platform includes a Public API for programmatic access and an MCP Server for connecting to external agent workflows. Additional capabilities include Alerts and Subscriptions for automated reporting, In-Memory Compute (DuckDB) for performance optimization, and Visualization and Reporting tools. Together these components enable teams to move from reactive dashboard viewing to collaborative, AI-driven decision-making.
Differentiator
Problem solved
Functional benefit
Products and services
- Canvas A collaborative analytics canvas that allows teams to build, share, and automate data analyses in a spreadsheet-like interface on top of cloud data warehouses; designed for data, product, and business users.
- AI Agent An AI-powered analytics assistant that enables natural-language querying and automated analysis against a company's data warehouse.
- Count Metrics A semantic metrics layer that defines and standardizes business KPIs so teams share a single, trusted source of truth across reports and analyses.
- Public API A developer-facing API that provides programmatic access to Count's analytics, metrics, and reporting capabilities for embedding and automation.
- MCP Server A Model Context Protocol server that integrates Count's analytics and metrics with external AI assistants and agent platforms.
Quantifiable outcome
- Some customers see significant reductions in warehouse compute spend by shifting exploratory work to Count's compute layer
- +4 more outcomes
Companies that use Count
Customer profileNamed customers14 records
Segments4 records
Ideal customer profiles1 record
Count technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration13 records
AI capability6 records
Feature7 records
Count partnerships and signals
Strategic signalScale indicators3 records
Recent moves6 records
Expansion highlights6 records
Count competitors and assessment
Company assessmentDirect peers
- Hex: Hex offers a collaborative data workspace combining SQL, Python, and AI-assisted notebooks with dashboards. Closely comparable to Count's canvas-based collaborative analytics positioning, with similar data team and product/growth personas.
- Sigma Computing: Sigma offers spreadsheet-style cloud analytics on top of data warehouses. Overlaps with Count's canvas-based exploration and self-service analytics use cases for business users.
- Mode Analytics: Mode is a collaborative analytics platform combining SQL, Python, R, and visual reporting for data teams. Directly competes with Count on collaborative data exploration and BI replacement positioning.
Broad incumbents
- Domo: Domo is a long-established cloud BI platform with dashboards, data apps, and AI features. Overlaps with Count's self-service analytics and BI replacement use cases but serves a broader enterprise portfolio.
- ThoughtSpot: ThoughtSpot is an AI-driven analytics platform with natural language search. Overlaps with Count's AI agent capabilities but operates as a broader enterprise incumbent with a much larger customer base and sales motion.
- Databricks: Databricks is a unified data and AI platform with Databricks SQL, notebooks, and Genie (AI/BI). Overlaps heavily with Count's collaborative analytics positioning, with substantially larger scale and a data-platform ecosystem.
- Looker: Looker (now Google Cloud) is an enterprise BI and semantic layer platform. Directly competes with Count Metrics' semantic layer and Count's BI replacement positioning, backed by Google's distribution.
- Tableau: Tableau is the dominant enterprise BI platform (Salesforce). Competes with Count on visualization, dashboards, and self-service analytics; Tableau's recent AI features (Tableau GPT) overlap with Count's agent positioning.
- Snowflake: Snowflake is a data cloud platform increasingly bundling native AI/BI capabilities (Cortex, Streamlit). Competes with Count both as a data source and increasingly as an analytics destination with embedded AI.
Emerging players
- Preset: Preset is a cloud-hosted, modernized version of Apache Superset offering collaborative dashboards and SQL exploration. Competes with Count on open, SQL-first analytics but lacks a comparable AI agent layer.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat4 records
Key risks6 records
Key highlights7 records
Customer concentration
Count social profiles
Digital presenceCount compliance and trust
Trust signalCompliance3 records
Count financial estimates
Financial estimateRevenue estimate
Valuation estimate
Count leadership team
Management profileNumber of profiles
Profiles1 record
Count funding detail
Funding detailFunding overview
Funding rounds3 records
Investors3 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Count 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 Count
What does Count do?
Count provides a collaborative analytics SaaS platform that lets teams build, share, and automate data analyses directly on top of cloud data warehouses. Its product suite centers on a spreadsheet-like Canvas, an AI Agent for natural-language querying, Count Metrics for a semantic data layer, a Public API for programmatic access, and an MCP Server for integration with AI assistants.
Is Count a public or private company?
Count is a private company. It is classified as venture growth investor backed and is currently operating.
When was Count founded?
Count was founded in 2016. It employs 501 to 1,000 people.
Where is Count based?
Count is headquartered in London, United Kingdom, in the Europe region.
How does Count make money?
Two revenue lines are on record. SaaS Subscription is the primary driver. The others are enterprise Licenses.
Who are Count's main competitors?
Direct peers on record are Hex, Sigma Computing and Mode Analytics. Broad incumbents are Domo, ThoughtSpot, Databricks, Looker, Tableau and Snowflake. Preset is listed as an emerging player.
Does Count have an API?
Yes. Count offers a REST-based public API that allows programmatic interaction with workspaces. The API is available on Scale plans and higher. It uses standard HTTP methods, accepts JSON-encoded request bodies, and returns JSON-encoded responses. Authentication is via bearer token using API keys created through service accounts. All endpoints follow RESTful conventions. The API supports rate limiting with headers indicating limits, remaining requests, and reset times. Available endpoints include canvas management (create agents, list objects, manage permissions), catalog operations, connection management, project operations, query execution, workspace management, and CSV export generation. Documentation URL: https://api.app.count.co/v1/openapi.json (US) and https://api.eu.count.co/v1/openapi.json (EU). Developer documentation is at api.app.count.co/v1/openapi.json.
What industry is Count in?
Count's product category is Business Intelligence & Analytics Software. Its primary akta.pro industry code is BPAEAHAC, Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM). Its NAICS code is 51821 and its SIC code is 7370.