Omnifold
AI supply chain software using self-improving forecasting algorithms for CPG, retail, and manufacturing companies managing physical goods.
Omnifold is an AI-powered supply chain forecasting and planning system that replaces traditional spreadsheets and planning software with autonomous, self-improving machine learning. The platform ingests data from ERP, CRM, WMS, TMS, marketing and sales systems, plus external feeds such as weather, point-of-sale data, credit card spend, and news to build a unified model of each customer's supply chain network.
Under the hood, Omnifold blends transformers, reinforcement learning, and proprietary retrieval systems to deliver demand forecasting that automatically adapts to market changes. The system comprehends entire supply chain networks including suppliers, production, logistics, and distribution, generating forecasts instantly that outperform month-long manual planning processes.
Founded in 2024 and backed by Kleiner Perkins and Lightspeed Venture Partners, Omnifold targets manufacturing, consumer goods, retail, and distribution companies. A Chief Supply Chain Officer (former Amazon, Starbucks, Walmart) reported forecast accuracy improved from 10% to nearly 40% compared to an industry-leading AI planning system.
[Privacy] Section 6 states AI Products are 'handled in line with our Privacy Notice and our agreement with third parties
[Privacy] Section 6 states AI Products are 'handled in line with our Privacy Notice and our agreement with third parties
Moderate risk. Suitable for internal data but avoid confidential information.
[Privacy] Section 6 states AI Products are 'handled in line with our Privacy Notice and our agreement with third parties,' but does not explicitly state whether user data trains the AI model. The policy mentions 'improve' and 'service improvement' as purposes but lacks clear opt-out language or explicit prohibition on training. This vague language warrants a moderate concern score.
“[Privacy] 'All personal information processed using our AI Products is handled in line with our Privacy Notice and our agreement with third parties.'”
[Privacy] Section 2 lists processing purposes including 'identify usage trends' and 'improve' services, suggesting broad use of user content. However, the policy does not explicitly grant a perpetual, irrevocable, worldwide sublicensable license. The language is vague about the scope and duration of rights claimed over user-generated content, creating moderate concern.
“[Privacy] 'To identify usage trends. We may process information about how you use our Services to better understand how they are being used so we can improve them.'”
[Privacy] Section 4 lists broad categories of third parties ('AI Platforms,' 'Data Analytics Services,' 'Retargeting Platforms,' 'Ad Networks') with whom data is shared. While the policy states contracts are 'designed to help safeguard' data, it does not publish a sub-processor list or provide detailed DPA requirements. The sharing scope is broad but not explicitly unrestricted, warranting moderate concern.
“[Privacy] 'We may share your data with third-party vendors, service providers, contractors, or agents who perform services for us...The categories of third parties we may share personal information with are as follows: Ad Networks, AI Platforms, Cloud Computing Services...Retargeting Platforms...'”
[Privacy] Section 7 states data is kept 'as long as necessary' and 'no longer than the period of time in which users have an account,' but also allows retention in 'backup archives' with vague deletion timelines. Section 10 permits retention 'to prevent fraud, troubleshoot problems, assist with any investigations' after account termination, creating ambiguity about actual deletion timelines.
“[Privacy] 'We will only keep your personal information for as long as it is necessary...However, we may retain some information in our files to prevent fraud, troubleshoot problems, assist with any investigations, enforce our legal terms and/or comply with applicable legal requirements.'”
[Privacy] The policy does not explicitly address IP ownership of outputs generated by AI Products. Section 6 mentions AI Products are 'designed to enhance your experience' but contains no clear statement that users retain all rights to generated outputs or that the vendor claims no license. This absence of clarity warrants moderate concern.
“Not found in documents — scored conservatively”
[Privacy] Section 8 states only 'appropriate and reasonable technical and organizational security measures' without naming any specific certifications (SOC 2, ISO 27001, GDPR compliance, HIPAA). No trust page, security documentation, or formal compliance certifications are mentioned. This absence of recognized compliance standards represents high risk.
“[Privacy] 'We have implemented appropriate and reasonable technical and organizational security measures designed to protect the security of any personal information we process.'”
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