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§ Private Profile · London, United Kingdom
An organization with Oliver Hughes serving as its Founder and Chief Executive Officer, responsible for its overall strategic direction and operations.
Count is a London-based enterprise software company that develops a collaborative data platform combining advanced SQL integrated development environment capabilities with a digital whiteboard for data analysis and visualization. The cloud-based platform allows data engineering teams and business stakeholders to directly query databases, build analytical models, and create interactive dashboards within a shared, infinite canvas environment. To scale its operations and enhance its technical infrastructure, the enterprise has raised approximately $3 million in seed funding from various institutional and angel investors. Count is backed by venture capital entities including LocalGlobe, and its data collaboration software is currently utilized by prominent consumer technology and retail companies such as Monzo, Vinted, and Gymshark. To bridge the communication gap between technical data analysts and commercial decision-makers, the organization was officially founded in 2016 by Oliver Hughes and Taylor Brown.
Count has raised $2.0M across 1 funding round.
Count has raised $2.0M in total across 1 funding round.
Count has raised $2.0M across 1 funding round. Most recently, it raised $2.0M Seed in April 2020.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Apr 1, 2020 | $2M Seed | LocalGlobe | Charlie Songhurst, Global Founders Capital | Announced |
Count has raised $2.0M in total across 1 funding round.
Count's investors include LocalGlobe, Charlie Songhurst, Global Founders Capital.
Count is a technology company building a collaborative data analytics platform that integrates AI agents, an infinite canvas, and business intelligence tools to enable data teams and stakeholders to explore data, build dashboards, and solve problems together.[1][2][3] It serves fast-growing startups and organizations by breaking down silos between analysts and stakeholders, reducing analyst workload by up to 75%, with customers using it over 17 days per month on average.[3] The platform addresses the "last mile" of analytics—turning raw data into actionable, real-time insights—through features like auditable AI queries, semantic layers for metrics, and seamless sharing via Slack, email, or convertible canvases into reports, dashboards, or slide decks.[1][3]
Count Technologies Ltd was incorporated on March 14, 2016, in London, England, initially as Countopen Limited before rebranding in May 2018; its core business is business and domestic software development (SIC 62012).[4] Founder David Smith leads the effort, spotlighting Count as a platform designed for fast-growing startups to gather data and derive insights collaboratively.[3] A pivotal moment came with the launch of the Count canvas—a nine-month development combining virtual whiteboard, SQL IDE, and visualization tools—redefining team-based analysis and marking the start of an ambitious product roadmap.[3]
Count rides the wave of AI-augmented analytics, where generative AI meets collaborative BI to democratize data for non-technical stakeholders amid exploding data volumes in startups.[1][2][3] Timing aligns with the shift from siloed dashboards to real-time, team-driven platforms, fueled by remote work and AI tools like LLMs that demand auditable, performant computation layers.[1] Market forces favoring Count include BI market growth (projected to exceed $30B by 2025) and startup needs for agile insights without heavy analyst dependency; it influences the ecosystem by reducing silos, boosting data literacy, and enabling 75% workload cuts, positioning it as a "team sport" for analytics in high-growth environments.[3]
Count's momentum builds on its canvas launch and sticky usage (17+ days/month), with a roadmap promising deeper AI collaboration and BI innovations to capture more of the collaborative analytics market.[3] Trends like multimodal AI, edge computing for data, and embedded analytics will shape its path, potentially expanding to enterprise-scale governance. Its influence may evolve from startup darling to ecosystem standard-setter, amplifying business clarity in AI-driven decisions—echoing its core promise to solve every AI problem through team-powered data.