Oblivious

Oblivious provides privacy-enhancing software for secure data collaboration and infrastructure. Its core product enables enterprises to analyze sensitive data, deploy AI, and migrate critical workloads to cloud environments without increasing exposure. It employs differential privacy for analytics and secure enclaves, protecting data during processing within hardware-isolated environments.

Co-founded in 2020 by Jack Fitzsimons and Robert Pisarczyk, both Oxford PhDs in machine learning, security, and privacy, Oblivious emerged from a need. They identified the conflict between data utility and individual privacy, especially with siloed, impactful data. Their aim was to make data privacy a default, enabling scientists to work effectively with sensitive information.

It serves organizations in regulated industries, enabling safe utilization of sensitive data in production. Oblivious’s vision empowers these teams to extract value from data with protection where traditional security falters. Its mission is to assist organizations in gaining critical insights while remaining oblivious to the sensitive individual details within datasets.

High-Level Overview

Oblivious is a Dublin-based confidential computing startup founded in 2020 that builds privacy-enhancing software to enable secure data collaboration, allowing organizations to analyze and share sensitive data without exposing it.[1][2][3] The company develops tools like OBLV Deploy, which integrate seamlessly into existing workflows for applications such as secure cloud migration, multiparty collaboration, offshore analytics, and cross-team data sharing, primarily serving the cybersecurity and tech sectors including data scientists at companies like Uber or Airbnb.[2][3][6] By enforcing confidentiality constraints through cutting-edge technologies like cryptography and machine learning privacy tools, Oblivious solves the problem of data silos and access restrictions that hinder analytics, enabling "eyes-off data science" where data remains oblivious to unauthorized eyes while unlocking its value.[1][2][4] With rapid growth from a university spinout to a multinational team and €5.35m in oversubscribed seed funding in 2024 (plus a prior $1m round), Oblivious demonstrates strong momentum in the privacy tech space.[1][4][6][7]

Origin Story

Oblivious was spun out of Oxford Foundry at the University of Oxford in 2020 and is now headquartered in Dublin, Ireland, at NovaUCD.[1][2][4] It was co-founded by Robert Pisarczyk (CEO) and Jack Fitzsimons (CTO), both Oxford PhDs with expertise in computer engineering, machine learning, cryptography, data science, and privacy technologies.[1][2][4][6] The idea emerged from their observations of data projects being scrapped due to privacy barriers and data scientists accessing unnecessary sensitive information, prompting them to create tools that broker trust and integrate privacy into developer workflows without disruption.[2][4] Early traction included a $1m seed round in 2021, followed by an oversubscribed €5.35m raise in 2024 led by Cavalry Ventures with backers like Act VC and Atlantic Bridge, fueling expansion to a global team of engineers, security architects, and designers.[4][6][7]

Core Differentiators

Oblivious stands out in confidential computing through:

• Seamless Integration and Usability: Privacy tools embed invisibly into existing data science and development workflows, requiring no system overhauls or retraining, unlike outdated role-based access controls from the 1980s.[1][2][3]
• Advanced Privacy-Enhancing Technologies (PETs): Leverages cryptography and confidential computing for "eyes-off" analytics, enabling secure machine learning on encrypted data while enforcing usage policies.[1][2][4][8]
• Use Case Versatility: Supports secure cloud migration, multiparty encrypted data sharing, post-end-of-life data retention, offshore analytics, and cross-team collaboration, maintaining full control and compliance.[3]
• Developer and Community Focus: Builds scalable, user-friendly software with a collaborative culture; fosters a privacy-conscious ecosystem via events like the Eyes-Off Data Summit and competitions.[1][5]
• Proven Expertise: Backed by founders' deep academic and technical backgrounds, positioning it to handle high-stakes data for internet-scale services.[1][2][6]

Role in the Broader Tech Landscape

Oblivious rides the wave of escalating data privacy regulations (e.g., GDPR) and AI-driven demand for secure data usage amid rising breaches and cross-border restrictions, timing perfectly with the shift to confidential computing as a standard for machine learning on sensitive data.[2][3][4][6] Market forces like siloed "impactful data" across organizations, billions invested in data lakes yet stalled by access issues, and the need for trust in multiparty AI collaborations favor its tools, which unlock innovations without compromising security.[2][4][5] By enabling ethical "eyes-off data science," Oblivious influences the ecosystem, promoting PET adoption, brokering inter-organizational trust, and accelerating sectors like cybersecurity, cloud services, and global analytics teams.[1][3][6]

Quick Take & Future Outlook

Oblivious is poised to scale its platform as AI and data collaboration explode, with plans to enhance toolsets for broader secure data-sharing adoption across industries.[7][9] Trends like stricter global privacy laws, sovereign AI needs, and multiparty ML will propel growth, potentially positioning it as a cornerstone for ethical data innovation. Its influence may evolve from startup to key enabler in privacy-first infrastructure, much like how it transforms raw data potential into confident, boundary-respecting value—remaining oblivious to risks while driving breakthroughs.[1][5]