Datagran has raised $1.0M in total across 1 funding round.
Datagran's investors include Ecliptic Capital, L'ATTITUDE Ventures, LvlUp Ventures, Osney Capital, Quake Capital, SOSV.
Datagran is a San Francisco-based technology company founded in 2017 that builds an AI-powered platform for seamless data integration, workflows, and internal tool creation. It serves data-intensive organizations across marketing, sales, business intelligence, and operations, solving the problem of fragmented data stacks by enabling no-code connections to apps like Facebook Ads, Google Ads, and Google Drive, along with AI query bots, visualizations, predictions, and alerts[1][2][4][6]. Clients including Subway, BIC, Coors Light, Discovery, and KIA use it to reduce tool clutter, cut ad spending by up to 50%, deduplicate data in real-time, predict customer behaviors, and accelerate ML model deployment without coding, fostering collaborative growth with around 33-70 employees and reported revenue of $17 million[2][4][5].
Datagran was co-founded in 2017 by Carlos Méndez (CEO) and Necati Demir (CTO), with Omar Ruiz as CFO, emerging from a focus on machine learning to empower developers and non-technical users in data-heavy companies[1][3][5]. The idea stemmed from the need to speed up ML model deployment to business apps without custom APIs or code, initially targeting growth hackers to boost sales and operations while reducing tool sprawl[1]. Early recognition came as a "High Potential Startup" by JP Morgan Chase and Endeavor, with traction from marketing tools that improved digital results for brands like Subway and BIC; the company expanded to 12 locations across the Americas and Europe, evolving into a full AI data workspace[2].
Datagran rides the AI agent and no-code automation wave, capitalizing on the explosion of generative AI and multi-tool data silos in a post-LLM era where businesses demand instant data access without engineering bottlenecks[1][6][7]. Timing aligns with rising enterprise AI adoption, as companies shift from fragmented analytics (e.g., separate BI, CRM, ad platforms) to unified workspaces amid economic pressures for efficiency—evident in its marketing focus amid ad platform complexities[2][4]. Market forces like GDPR demands and OAuth hurdles favor its secure integrations, while it influences the ecosystem by democratizing data for non-experts, accelerating ML in SMBs/mid-market firms, and reducing reliance on specialized analysts[3][6].
Datagran is poised to expand its agent auth infrastructure (e.g., upcoming HubSpot/Gmail integrations) into a broader AI orchestration layer, capitalizing on trends like autonomous agents and real-time data meshes in a $100B+ data integration market[6]. Rising demand for secure, no-code AI tools amid AI regulation and multi-cloud sprawl will shape its path, potentially scaling via partnerships with ad giants or BI leaders. Its influence may evolve from marketing niche to enterprise staple, empowering "amateurs" in data decisions and solidifying its role as the connective tissue for AI-driven businesses—much like how it started by bridging ML to apps, now scaling human intelligence at organization speed[3].
Datagran has raised $1.0M across 1 funding round. Most recently, it raised $1.0M Seed in January 2018.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Jan 1, 2018 | $1.0M Seed | Ecliptic Capital, L'ATTITUDE Ventures, LvlUp Ventures, Osney Capital, Quake Capital, SOSV |
