Rishi Bhatia

To make enterprise agents work reliably, what do you need? semantic contracts, explicit rules? Both, but it’s only half the picture. The other half is the layer that runs enterprises but rarely shows up cleanly or coherently in systems of record: decision traces. These are the exceptions, overrides, precedents, and cross-system context that live in Slack threads, deal-desk conversations, escalation calls, and, most often, in people’s heads. You can’t reliably reconstruct them from your CRM or ERP. Rules tell an agent what should happen in general (“use official ARR for reporting”), but they fall apart on edge cases (“a VP approves a discount on a Zoom call”) where the action is logged but the reasoning is lost. When that happens, agents don’t know what they’re allowed to do next, or why. Systems-of-agents startups have a structural advantage because, when they sit in the execution path, they can see what inputs were gathered, what policy was evaluated, what exception route was invoked, who approved, and what state was written. If you persist and link those traces, you get what my partners Jaya and Ashu call a “context graph”: a living, queryable record of decision traces that links decision events to the why behind them. Our bet is that context graphs will power a new generation of startups and become the core asset behind the next trillion-dollar platforms, especially in workflows where “the AI decided” is not an acceptable answer.

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"Before physical robots transform industries, digital human labor (AI) will come first." - Elon Musk said it last week at Dwarkesh Podcast: He's right. And most investors are missing the timing advantage. Here's the timeline: Human Labor (Today): High cost, coordination complexity, compliance risk compounds with scale. Digital AI Labor (2024-2030): Software-based transformation. Deploy in months, not years. Scale to 600k+ interactions/hour with zero added headcount. Physical Robotics (2030+): Hardware-dependent. Requires manufacturing scale, regulatory frameworks, and capex that most enterprises can't afford yet. Second Order Ventures operates in the Digital AI Labor phase—the critical bridge between human-dependent operations and physical automation. We're not investing in AI tools. We're building AI labor infrastructure. The difference? AI Tools: Chatbots, dashboards, RPA point solutions. Customer integrates and operates. AI Labor Infrastructure: Cohorts of digital AI agents that systematically augment organizational functions. We build, deploy, and operate. Real example: We deployed a 9,000-agent digital AI labor cohort for a $10B+ life insurance company. The result? $90M+ in annual labor cost redeployed to strategic functions. 100% compliance. Zero regulatory incidents. This isn't a fad. It's a longitudinal transformation that requires patient capital and infrastructure control. The window is now. Before physical robotics commoditize labor transformation. Read the full Digital Labor timeline below What's your timeline for deploying digital AI labor in your organization? #DigitalLabor #AIInfrastructure #SecondOrderVentures #VentureCapital #FutureOfWork

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https://tyr.vc updated with latest investment in Occam Industries. T|Y|R.vc syndicated in €3m PreSeed round with Presto Ventures, HTGF | High-Tech Gründerfonds, Freedom Fund VC, and Antler. We are proud to back founder Gui Wainwright and team, the developer of OccamX, a retrofit computer vision-enabled autopilot designed specifically for FPV drones. "We specialize in integrating advanced software into existing, mass-manufactured platforms, unlocking expanded capabilities without the need to alter airframes, supply chains, or OEM ownership". To prove it, OccamX has been blue-stamped/deemed fit for integration by the Ukrainian DefenceTech cluster BRAVE1.

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**Bolna's Impressive Fundraising Highlights Self-Serve Success in India** Bolna's recent $6.3 million funding round led by General Catalyst underscores a significant trend in the Indian tech ecosystem. With 75% of its revenue generated from self-serve customers, Bolna is leveraging the growing demand for voice orchestration solutions. At ElevenX Capital, we see this as a strong indicator of how businesses are increasingly prioritizing scalable, user-driven tools. How can venture capitalists better assess the potential of self-serve revenue models in the future? #investing #innovation #venturecapital #entrepreneurship

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𝗧𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝗼𝗳 𝗹𝗮𝘂𝗻𝗰𝗵𝗶𝗻𝗴 𝗮𝗻 𝗔𝗜𝗙? 𝗜𝘁’𝘀 𝗻𝗼𝘁 𝗮 𝗰𝗼𝗽𝘆-𝗽𝗮𝘀𝘁𝗲 𝗲𝘅𝗲𝗿𝗰𝗶𝘀𝗲. I sat down with Lion Amirr Virani on The Koffee Conversation Show to discuss the practical realities of launching an AIF—specifically for fund managers who are navigating the transition from a strategy to a structured entity. You can watch the full breakdown here: https://lnkd.in/gcjkBDJJ After structuring 50+ funds, I’ve seen that the first time fund managers often start with a belief that "structuring an AIF" is a clerical exercise but end up realizing it is an architectural challenge. We tackled the questions that actually matter to a Fund manager long-term success: 𝟭. 𝗧𝗵𝗲 "𝗪𝗵𝘆" 𝗯𝗲𝗳𝗼𝗿𝗲 𝘁𝗵𝗲 "𝗛𝗼𝘄": Why do you actually need an AIF? We discussed why this flexible structure isn't for everyone and how to avoid over-complicating your vehicle before you’ve even made your first call for capital. 𝟮. 𝗧𝗵𝗲 𝗚𝗶𝗳𝘁 𝗖𝗶𝘁𝘆 𝘃𝘀. 𝗗𝗼𝗺𝗲𝘀𝘁𝗶𝗰 𝗗𝗶𝗹𝗲𝗺𝗺𝗮: We broke down the rule of thumb for choosing a jurisdiction. Is your capital global or local? Your answer changes your entire structural foundation. 𝟯. 𝗔𝗜𝗙𝘀 𝗳𝗼𝗿 𝗙𝗮𝗺𝗶𝗹𝘆 𝗢𝗳𝗳𝗶𝗰𝗲𝘀: How sophisticated family-managed businesses are using AIFs to "ring-fence" their wealth , use QIB status and create professional investment verticals that operate like institutional platforms. It was a great session, moving past the theory and into the practical realities of what it takes to run a fund today. 𝗙𝗼𝗿 𝘁𝗵𝗲 𝗳𝘂𝗻𝗱 𝗺𝗮𝗻𝗮𝗴𝗲𝗿𝘀 𝗶𝗻 𝗺𝘆 𝗻𝗲𝘁𝘄𝗼𝗿𝗸: What is the one structural hurdle you wish someone had told you about before you launched your first scheme? Let’s share some insights below. #AIF #FundManagers #GiftCity #VentureCapital #PrivateEquity #AssetManagement #FamilyOffice

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