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§ Private Profile · Madrid, Spain
No-code data science platform for visual data exploration and AI-powered analytics, enabling predictive models from unstructured data.
Graphext develops a no-code data science platform that enables visual data exploration and AI-powered analytics directly in the browser, bridging the gap between non-technical business users and complex data tools. The platform leverages technologies such as WebAssembly and WebGL to fluidly handle millions of data rows, allowing for the creation of explainable predictive models and insights from unstructured data. Graphext operates on a product-led growth model, successfully evolving from smaller self-service tiers to securing six- or seven-figure corporate contracts with major clients. The company has seen approximately 7 million euros invested over its initial seven years of research and development, prior to significant external funding. Its advanced analytics solutions have attracted a notable customer base, including global corporations like McDonald’s and Roche. Graphext was founded in 2015 by Victoriano Izquierdo and Miguel.
Graphext has raised $3.0M across 1 funding round.
Graphext has raised $3.0M in total across 1 funding round.
Graphext has raised $3.0M in total across 1 funding round.
Graphext's investors include Hoxton Ventures, Altair Capital Management, Andreessen Horowitz, Antler, E1 Ventures, Aniq Kassam, Foundamental, Fuel Ventures, Erik Nordlander, GV (Google Ventures), Iterative, Madrona Ventures.
Graphext has raised $3.0M across 1 funding round. Most recently, it raised $3.0M Seed in June 2023.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jun 1, 2023 | $3M Seed | Hoxton Ventures | Altair Capital Management, Andreessen Horowitz, Antler, E1 Ventures, Aniq Kassam, Foundamental, Fuel Ventures, Erik Nordlander, GV (Google Ventures), Iterative, Madrona Venture Group, Polygon Labs, Spark Capital, Starbridge Venture Capital, Trajectory Ventures, Uncorrelated Ventures, Virginia Venture Partners, Balaji Srinivasan, Evan Moore, John O'Brien (Strange Brew Ventures), Prashant Malik, Surojit Chatterjee, Tony Jamous, Trevor Wright, Will Martin, Ahmed MEN, Javi Lopez, Joaquin Cuenca Abela, Jose Florido, Juanjo Mostazo, Juan Luis Perez, Miguel Arias, Pablo Sanch, Serhii Sokolenko 🇺🇦, Vicen Mart | Announced |
Graphext is a Madrid-based technology company founded in 2017 that builds a no-code visual analytics platform for advanced data science, enabling non-technical users to explore data, build predictive models, and derive actionable insights without coding.[1][3][4] The platform connects to sources like Snowflake, BigQuery, Redshift, Excel, and CSVs, supporting use cases such as customer segmentation, churn analysis, lead scoring, and SEO monitoring, primarily serving revenue operations teams in acquisition, retention, and customer value optimization.[1][3][4] With $8.1 million raised across five rounds—including a $4.6 million seed in June 2023 led by Hoxton Ventures—and around 22 employees, Graphext demonstrates steady growth momentum through product enhancements, recruitment, and adoption by top-tier companies.[1][3][5]
Graphext was co-founded in 2017 by Victoriano Izquierdo (CEO, Computer Science background) and Miguel Cantón Cortés, evolving from their earlier project Contexto.io, which focused on social media data analytics.[1][3][5] Izquierdo, a former street photographer with design and coding skills, identified broader data challenges companies faced, leading to Graphext's expansion into a versatile platform handling diverse data sources like Snowflake and Excel.[3] Early traction came from simplifying complex analytics, attracting investors like Hoxton Ventures, SaxeCap, Trajectory Ventures, K Fund, and over 80 angels, culminating in the 2023 seed round to fuel tech development and hiring.[1][3]
Graphext rides the no-code/low-code data science wave, democratizing AI amid exploding data volumes and talent shortages, allowing teams to bypass business deadlines for deeper insights.[3] Timing aligns with modern data stacks' rise (e.g., Snowflake, BigQuery) and demand for explainable AI in revenue ops, where dashboards fall short on exploration and prediction.[1][2][3][4] Market forces like AI democratization and unstructured data growth favor its rapid processing and visual NLP, positioning it to influence BI by empowering non-experts and integrating with CRM/ops tools.[2][3]
Graphext is poised to scale through enterprise adoption, premium features like private cloud/SSO, and expansions in personalized recommendations or data engineering services.[4][5] Trends like agentic AI and multimodal data will amplify its no-code edge, potentially evolving it into a full revenue AI platform amid intensifying BI competition.[2] As funding fuels hires (e.g., recent data scientists, designers), expect deeper ecosystem influence, transforming how mid-market firms operationalize data for competitive edges—building on its origins in simplifying analytics chaos.[1][3]