Rockfish Data Secures Seed Funding to Help Enterprises Leverage Synthetic Data for Operational Workflows

Insider Brief

  • Rockfish Data raises $4M seed round, led by Emergent Ventures, bringing total funding to nearly $6M. The company, founded by Carnegie Mellon researchers, pioneers an AI-driven synthetic data platform addressing enterprise data silos.
  • Its platform uses generative AI to create privacy-preserved, high-fidelity synthetic data for product demos, AI training, and more, serving clients like the US Army and Department of Homeland Security.
  • The funding will drive product innovation and go-to-market efforts, scaling solutions for robust, scalable AI/ML workflows in diverse industries.

PRESS RELEASE — Rockfish Data (https://www.rockfish.ai), a pioneer in synthetic data generation platform for operational workflows, has announced the successful closing of a $4M seed fundraising round. This round was led by Emergent Ventures with participation from Foster Ventures, TEN13, Dallas VC, NewBuild Venture Capital and others. This brings the total amount raised close to $6M.

Founded by Dr. Muckai Girish, Dr. Vyas Sekar, Dr. Giulia Fanti and Mr. Nathan Haugo, Rockfish Data is revolutionizing how enterprises and public sector organizations overcome data silos that severely limit the efficacy of AI/ML and analytics workflows today.

Product owners are increasingly facing data silos across the entire product lifecycles — everything from showing product demos for potential customers, cross-company or cross-border data sharing and generating diverse training and test data. Synthetic data via Generative AI holds the key to address this massive gap in operational data. Based on foundational innovation and research at Carnegie Mellon University, the Rockfish Data platform is the industry’s first outcome-centric synthetic data generation platform that helps companies unlock the true value of their data and drive these workflows.

“Synthetic data is poised to play a crucial role in ensuring AI models’ robustness and scalability as they transform a range of industries and applications,” said Anupam Rastogi, Managing Partner at Emergent Ventures and incoming board member at Rockfish. “Rockfish Data’s approach to generating synthetic data using state-of-the-art deep generative algorithms addresses a critical need in enterprise data operations. We’re excited to partner with Rockfish as they enter this new phase of growth.”

“Rockfish Data is a company that we have believed in since its inception. We are impressed with the progress the company has made and are excited to be a part of its continued success,” commented Priya Ramachandran, Managing General Partner at Foster Ventures.

Rockfish Data is trusted by several enterprises and public sector agencies such as the US Army and the Department of Homeland Security.

Jibin Zhan, Co-founder and VP of Engineering at Conviva, said, “Rockfish Data brings much-needed genAI-based synthetic data generation to the Conviva platform for generating structure preserving session and event datasets. We are impressed by Rockfish’s ability to create privacy-preserved and high-fidelity synthetic data using state-of-the-art genAI capabilities for a plethora of use cases, including product demos, AI training, and test data generation.”

“We are on a mission to make it easy for enterprises to overcome data silos as they build AI and ML workflows at scale. We have redefined how synthetic data can be generated for operational workflows using generative AI,” said Rockfish Data Co-founder & CEO, Muckai Girish. “This funding round will allow us to continue our product innovation and invest in more go-to-market initiatives that accelerate adoption.”

About Rockfish Data, Inc.

Rockfish Data is the industry’s first outcome-centric synthetic data generation platform that helps companies unlock the true value of their operational data to tackle data silo bottlenecks. Rockfish’s data adaptive, and enterprise secure platform builds on patent-pending proprietary technology and years of research at Carnegie Mellon University.

To learn more about Rockfish Data, visit https://www.rockfish.ai/

Contacts

Media Enquiries:
Muckai Girish
E: pr@rockfish.ai
P: (650) 762–5001

SOURCE

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