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The Controversial Bet on AI BookkeepingDespite the collapse of his previous startup, Ian Crosby is taking another shot at building a business out of automating bookkeeping. His new venture, Synthetic, aims to create a fully autonomous AI bookkeeper that can generate accrual-based financials without direct human involvement.The Vision Behind SyntheticSynthetic is designed to revolutionize bookkeeping by eliminating the need for human accountants, a stark contrast to current accounting startups like Xero. Crosby maintains an all-or-nothing approach: "We're not going to release anything that's not fully autonomous. It's that or bust."The startup is currently in the design phase, with Crosby acknowledging that his vision may not yet be technologically possible. The company plans to initially serve only AI and other software startups.The $10 Million InvestmentDespite the challenges and Crosby's troubled past with Bench Accounting, Synthetic has successfully raised $10 million in a Seed funding round led by Khosla Ventures. The round also saw participation from Basis Set Ventures and Shopify CEO Tobias Lütke.This financial backing provides Crosby with the resources to wait for foundational AI models to become more reliable for bookkeeping calculations. "I've raised years of cash, so we can just wait it out," Crosby stated.Learning from Past FailuresKhosla partner Jon Chu defended the investment by explaining his tendency to "run towards controversy a little bit." He cited Parker Conrad's journey from Zenefits to founding Rippling (now valued at $17 billion) as an example of how industry narratives can be misleading.Chu conducted thorough due diligence, speaking with several executives who worked with Crosby after his departure from Bench. According to Chu, they "had fantastic things to say about Ian." This feedback, combined with Crosby's subsequent roles at Shopify and founding of Teal (which was acquired by Mercury), convinced Khosla of his growth potential.The Bench Accounting FalloutCrosby's previous venture, Bench Accounting, famously shut down in 2024 before being "bought for scraps." Crosby maintains he wasn't directly responsible for bringing the company to insolvency, stating he was fired by Bench's board in 2021 after turning down a $250 million acquisition offer from Brex.The board reportedly disagreed with Crosby's strategic direction as the business was bleeding cash, and his executive team was frustrated with his direct leadership style. "He took a big swing, made a few mistakes. That didn't go well," Chu acknowledged about Crosby's tenure at Bench.The Path to Autonomous AI BookkeepingWhile Synthetic's prototype works for a narrow group of users, Crosby remains uncertain how it will scale for a broader customer base. He compared the current state of AI bookkeeping to "a self-driving car that can drive down one street versus the self-driving car that can drive down any street.""We haven't driven down enough streets to know if it's going to crash," Crosby explained, highlighting the technical challenges ahead. Despite these obstacles, the founder remains committed to his vision of a fully automated financial future.

Series B Funding Secures $100 Million at $2 B Valuation Parallel Web Systems, the AI agent‑tool startup founded by former Twitter CEO Parag Agrawal, announced a $100 million Series B round that values the company at $2 billion. The round was led by Sequoia with participation from existing backers Kleiner Perkins, Index Ventures, Khosla Ventures, First Round Capital, Spark Capital and Terrain Capital. Capital Accumulation: $230 Million Raised in Under a Year The new raise follows a $100 million Series A just five months earlier, which set a $740 million valuation. Combined, Parallel Web Systems has now secured $230 million in funding. Series A (Nov 2025): $100 million at $740 million valuation Series B (Apr 2026): $100 million at $2 billion valuation Total capital raised: $230 million Strategic Positioning in the AI Agent Ecosystem The company provides a suite of web search and research APIs tailored for AI agents. Notable customers include Clay, Harvey, Notion and OpenDoor, and it reports usage by banks, hedge funds, and over 100,000 developers. This traction underscores growing demand for specialized AI‑agent infrastructure. Future Outlook: Scaling Services for Developers and Institutional Clients With deep‑pocketed investors and a rapidly expanding developer base, Parallel Web Systems is positioned to broaden its API offerings and capture more of the enterprise market. Continued funding could accelerate product development, expand sales teams, and cement its role as a core layer for next‑generation AI applications.

As AI music startups like Suno and Udio focus on generating music from scratch, a new player in the space, GRAI, is taking a different approach. The company believes most people don't want to create music with AI—they'd rather remix, share, and experiment with existing tracks. With $9 million in seed funding, GRAI is positioning itself to transform music consumption into a more social experience while respecting artists' rights. Key Developments GRAI has raised $9 million in seed funding co-led by Khosla Ventures and Inovo vc The company is developing apps like 'Music with Friends' for iOS and an AI music playground for Android GRAI is building its own taste and participation graph along with real-time audio systems The startup is focusing on creating a 'derivatives pipeline' that preserves original track identity while allowing transformations Founders Ilya Liasun, Dima Kamarouski, and Andrei Avsievich previously sold their video creation app VOCHI to Pinterest Data & Market Impact The $9 million seed round represents significant investor confidence in GRAI's alternative approach to AI music. This funding comes amid a surge in AI music startups, with Suno and Udio gaining attention for their generative capabilities. However, GRAI's focus on social interaction rather than creation positions it in a different market segment targeting Gen Z and Gen Alpha users who discover music through cultural touchpoints like TikTok and social sharing. Why This Matters GRAI's approach addresses several critical issues in the modern music landscape. First, it tackles the broken discovery system that makes it difficult for new artists to gain traction. Second, it transforms passive listening into active participation, potentially increasing engagement with music. Third, it introduces social context to music consumption, which has been largely absent in streaming platforms. For artists and labels, GRAI offers a potential new revenue stream through royalties on remixes and transformations. This could be particularly valuable as traditional music sales continue to decline and streaming payouts remain notoriously low. The company's commitment to getting artist permission before implementation also addresses one of the most contentious issues in AI music—copyright and consent. For users, especially younger generations, GRAI represents a way to engage with music beyond passive consumption. This social approach could redefine how music experiences are shared and discovered, potentially shifting power away from large platforms like TikTok and YouTube. Expert Insight GRAI's founders identify a crucial gap in the current music landscape: music has become one of the last major consumer categories that hasn't gone 'creator-first.' While platforms like Instagram, TikTok, and YouTube have transformed photo and video consumption into participatory experiences, music listening remains largely passive. The company's focus on derivatives rather than generation reflects a nuanced understanding of both technology and human behavior. While generative AI has captured headlines, most people aren't looking to become music creators—they want to participate in music culture in ways that require less technical skill. GRAI's approach acknowledges this reality while still leveraging AI's capabilities. The startup's emphasis on working with artists and labels first represents a more sustainable approach than many AI companies that have faced legal challenges for using copyrighted material without permission. By establishing relationships and permission structures upfront, GRAI is building a foundation that could avoid the regulatory pitfalls that have plagued other AI music ventures. What Happens Next As GRAI rolls out its initial apps, the company will be closely watching user feedback to refine its approach. The success of these early products will likely determine the company's direction and potentially influence how other AI music startups approach the market. If GRAI's model proves successful, we may see a shift in how AI companies approach creative industries—focusing on augmentation and participation rather than replacement. This could lead to new licensing frameworks that acknowledge the value of derivative works while protecting original creators. The company's focus on Gen Z and Gen Alpha suggests they're thinking long-term about the future of music consumption. As these generations become the primary music consumers, their preferences for social, interactive experiences could reshape the entire industry. Ultimately, GRAI's success will depend on whether they can deliver on their promise of making music more social while fairly compensating artists. If they achieve this balance, they could create a new paradigm for AI in creative industries—one that prioritizes human connection and artistic integrity over pure technological capability.