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§ Private Profile · C/O The Accountancy Partnership Suite 5, 5th Floor, City Reach, 5 Greenwich View Place, London, England, E14 9NN
Seedata.io is a technology company.
Seedata.io builds an automated deception platform that strategically deploys and manages virtual decoy assets, known as "seeds," across an organization's digital infrastructure. This technology plants, maintains, and monitors these intelligent traps, which are designed to appear indistinguishable from legitimate data and systems to attackers. The platform's core capability lies in its ability to detect sophisticated threats early by generating high-fidelity alerts immediately upon interaction with these decoys, thereby significantly reducing Mean Time To Detection and minimizing false positives compared to traditional security methods.
The company was co-founded in 2021 by Enrico Faccioli and Matt Holland. Their foundational insight stemmed from the observed shortcomings of conventional cybersecurity defenses in effectively detecting advanced, evasive threats, coupled with the prevalent issue of alert fatigue within security operations teams. Faccioli and Holland aimed to develop a proactive, low-maintenance detection methodology that delivers actionable intelligence, shifting from reactive defense to proactive threat identification.
Seedata.io serves organizations across various sectors that are looking to bolster their threat detection capabilities and safeguard sensitive data from both external adversaries and potential insider threats. By enabling the automated deployment of cloud-native honeypots, the platform empowers security teams to respond more rapidly to breach attempts with a reduced incidence of false alarms, securing diverse environments including cloud and on-premise. The company’s vision centers on providing continuous, high-value telemetry to defenders, enabling them to gain superior visibility and proactively pinpoint intruders before substantial damage can occur.
Seedata.io has raised $1.1M across 2 funding rounds.
Seedata.io has raised $1.1M in total across 2 funding rounds.
Seedata.io has raised $1.1M across 2 funding rounds. Most recently, it raised $890K Seed in August 2021.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Aug 1, 2021 | $890K Seed | — | ADA Ventures, Creandum, Outrun Ventures, Passion Capital, Rokk3r Labs, Charles Delingpole, Michael Pennington, Chai Patel, Konrad VON Habsburg, Nicolas Hess, Nicolaus Henke, Rahul Bhushan, TOM James, Will Neale, Cylon, Daniel Cardenas Clark | Announced |
| Feb 1, 2021 | $170K Seed | — | Antler, Pario Ventures | Announced |
Seedata.io has raised $1.1M in total across 2 funding rounds.
Seedata.io's investors include Ada Ventures, Creandum, Outrun Ventures, Passion Capital, Rokk3r Labs, Charles Delingpole, Michael Pennington, Chai Patel, Konrad von Habsburg, Nicolas Hess, Nicolaus Henke, Rahul Bhushan.
Seedata.io is a London-based cybersecurity startup founded in 2020 that offers a SaaS platform using deception technology to detect data breaches and threats early.[2][3] The product plants unique "seeds"—fake, trackable data records (like honeytokens or honeypots)—into customers' databases and networks, then monitors surface, deep, and dark web sources for any interaction or exposure, enabling rapid incident detection without risking real data.[1][2][4][6] It serves enterprises and security teams facing data leakage risks, solving the problem of undetected breaches outside traditional perimeters by reducing mean time to detection (MTTD), minimizing false positives, and providing enriched threat intelligence for faster response.[3][5][6] With no-code integrations into existing tools like SIEM and SOAR, it delivers automated alerts, high-fidelity signals, and benefits like cost savings and improved threat insights, positioning it as a lightweight addition to defense-in-depth strategies.[4][5]
Seedata.io was founded in 2020 by Enrico Faccioli (CEO) and Matt Holland (CTO) in London, England.[2][3] Faccioli, with experience as Chief Commercial Officer at an alt-data startup and leading data strategies for investors, focused on sales, fundraising, and enterprise data security gaps.[3] Holland brings 25 years in cybersecurity, including roles as CISO at global brands and mentoring startups in accelerators.[3] The idea emerged from their shared frustrations with perimeter-only monitoring and undetected data theft, prompting them to build a deception-based SaaS using fake data "seeds" to lure and expose threats—experiences "from your side of the table."[3] Early traction included fresh funding to expand the team, accelerate product development, and refine go-to-market, emphasizing values like data-backed decisions, simplicity amid complexity, and exceptional service.[2][3]
Seedata.io stands out in cybersecurity through its automated, low-burden deception platform. Key strengths include:
Seedata.io rides the surge in deception technology and automated moving target defense, critical amid rising data breaches, ransomware, and AI-enabled threats like deepfakes that evade perimeter controls.[2][6] Timing aligns with enterprises adopting defense-in-depth post-high-profile leaks, where traditional tools miss external exposures—Seedata fills this by proactively luring attackers via realistic decoys, turning passive defense into active early warning.[1][3][5] Market forces favoring it include SaaS simplicity demands, regulatory pressures for breach detection (e.g., faster MTTD), and cybersecurity skills shortages, enabling lean teams to gain assurance and insights without heavy lifts.[3][5] It influences the ecosystem by democratizing honeypots/honeytokens, boosting overall detection fidelity, and integrating with staples like SIEM, helping startups and enterprises alike strengthen postures in a threat landscape projected to grow with cloud migrations and dark web trading.[2][4][6]
Seedata.io is poised for expansion with its funding-fueled team growth and roadmap acceleration, likely prioritizing AI-enhanced seeds, deeper integrations, and enterprise-scale deployments amid escalating cyber risks.[2] Trends like zero-trust architectures, AI-driven attacks, and regulatory mandates (e.g., faster breach reporting) will propel demand for its low-friction deception layer, potentially capturing share in the $10B+ threat detection market. Its influence may evolve from niche detector to ecosystem enabler, powering SOC efficiency and inspiring hybrid defenses—ultimately making undetected breaches rarer, as its seed-trapping roots promised from day one.[3][6]