Side-by-side comparison of AI visibility scores, market position, and capabilities
Next-generation card issuing and embedded payment platform. San Francisco CA, raised $100M+, built by former Braintree and PayPal engineers for enterprise-grade card programs.
Highnote is a next-generation embedded card and payment platform built by fintech industry veterans from Braintree and PayPal. Founded in 2020 and headquartered in San Francisco, California, the company has raised over $100 million in funding. Highnote targets enterprises and growth-stage companies building sophisticated card programs that require more configurability and commercial terms than first-generation BaaS platforms provide.\n\nHighnote's platform covers card issuance, transaction processing, ledger management, and rewards program infrastructure through a unified API. A key differentiator is its modern ledger architecture, which provides real-time financial position tracking at the account and transaction level — enabling more accurate reconciliation and complex financial product logic than legacy processing platforms support. The platform supports both consumer and commercial card programs, credit and debit structures, and multi-currency deployments.\n\nHighnote has positioned itself as the enterprise-grade option for companies that have outgrown first-generation BaaS tools or need more sophisticated financial product configurations. Its founding team's deep experience in payment infrastructure at scale informs architectural decisions that prioritize reliability, real-time data access, and compliance flexibility. In 2024 and 2025, Highnote expanded its commercial card capabilities and launched tools for managing complex interchange optimization across large card portfolios.
Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.
Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.
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