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AI-Powered Predictive Intelligence Platform Secures $15 Million in Initial Funding

AI platform CRED secures $15 million seed funding, with defy.vc leading the round, joined by HOF Capital, Alumni Ventures, LDV Partners, Streamlined Ventures, SilverCircle Ventures, Octopus Ventures, BAM Ventures, Gaingels, and a prominent PE firm leader.

AI-Powered Predictive Intelligence Platform Secures $15 Million in Initial Funding
AI-Powered Predictive Intelligence Platform Secures $15 Million in Initial Funding

AI-Powered Predictive Intelligence Platform Secures $15 Million in Initial Funding

In the realm of AI-powered predictive intelligence, CRED is making waves with its mission to democratize predictive models at scale. The platform, which has recently secured a $15 million seed round, aims to make real-time predictive insights accessible to every enterprise, transforming the way companies harness their data.

Founded by serial entrepreneur Jon Carr-Harris, who boasts a decade of leadership in AI products, CRED is designed to connect with existing systems and includes a built-in outreach tool for emailing prospects directly, triggering follow-ups, and launching campaigns without the need to switch tools. This seamless integration allows businesses to streamline their operations and focus on driving revenue and operational efficiency at scale.

The funding round was led by defy.vc, with participation from HOF Capital, Alumni Ventures, LDV Partners, Streamlined Ventures, SilverCircle Ventures, Octopus Ventures, BAM Ventures, Gaingels, and a large PE firm leader. Neil Sequeira, Founder and Partner at defy.vc, expressed his excitement about backing an experienced technical founder like Jon with an incredible AI native team.

At its core, CRED addresses data management in companies, unifying internal systems with real-time market signals and predictive AI models. This process delivers timely, ranked alerts, intelligent scores, and personalized recommendations that clearly indicate what actions to take and why they matter. The enrichment and reporting feature offers complete visibility into a data ecosystem, auditing data quality in real-time and enriching records with live market signals.

One of the standout features of CRED is its smart action and execution feature, which enables GTM teams to take immediate, intelligent action on enriched data and predictive insights. This feature, coupled with the intelligent scoring and prioritization system that assesses ideal customer profile fit, propensity to churn, and upsell potential, sets CRED apart in the market.

Since its inception, CRED has driven over $100 million in revenue for users in the past year, along with more than $20 million in cost savings. The platform has already signed 25 large enterprise customers while in stealth mode, including the Golden State Warriors, UTA, and the PGA. CRED's success is evident in its double-digit revenue growth month over month and its ability to save companies over 10,000 hours of manual data entry per month.

Jon Carr-Harris, CRED's founder, stated that CRED is reimagining enterprise intelligence by combining real-time data, AI, and workflows into a single action-oriented, revenue-driving platform. With the fresh funding, CRED plans to scale operations into additional enterprise sectors beyond Sports & Entertainment. The company recently opened a new office in San Francisco and is actively hiring across multiple teams.

In a world where data is king, CRED is democratizing predictive intelligence by turning fragmented systems and signals into intelligent, contextual, and actionable insights at scale, enabling enterprises to make better, faster, and more confident decisions typically only available to the most sophisticated financial players.

The CRED platform, led by serial entrepreneur Jon Carr-Harris, aims to leverage artificial intelligence for investing and finance by democratizing predictive models at scale. With its recent $15 million seed round, CRED intends to make real-time predictive insights accessible to every business, transforming operations and unlocking new opportunities in technology-driven business sectors.

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