Farhad Massoudi

Thrilled to announce that Together Fund is investing in Sentra, alongside a16z speedrun! You track results in Jira. Decisions in Notion. Conversations in Slack. But the reasoning, the debates, trade-offs, and context behind why you chose A over B, disappears into what we call "Dark Matter." A decision made in March looks insane by July because no one remembers the constraints that made it smart. I lived this firsthand at Twitter scaling from 800 to 8,000 employees, and at Google while launching AI Overviews to billions at planet scale. The problem isn't process. Process is compensation for something deeper: organizational amnesia. An organization’s "Systems of Record" doesn’t solve this, they encode it. They store what happened, never why. That's why we are investing in Sentra. Sentra is the always-on collective memory that eliminates organizational amnesia by maintaining accurate context for all members and agents, functioning as an operational nervous system. It connects to every channel where work happens, meetings, Slack, email, code commits, docs, calendars, and treats them not as artifacts to search, but as living signals to synthesize. The fleeting and the permanent, unified into a memory that understands. The founding team is built for this: - Jae Gwan Park (CEO): Product-first founder, memory systems research at UofT and MIT - Ashwin Gopinath (CSO): Former MIT professor, created "Reflexion" (NeurIPS 2023), agents that learn from mistakes, 2x founder - Andrey Starenky (CTO): Early Vapi engineer, ex-IBM, built to process enterprise-scale data firehose Together is an operator-led fund. We invest in problems we've lived. This is one of them. Many congrats Jae, Ashwin and Andrey, we are so excited to partner with you! Read the full thesis: https://lnkd.in/gixj9cE4 Book a demo: https://www.sentra.app/ #OrganizationalMemory #AI #Sentra #TogetherFund #a16z #ContextGraphs

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Last year’s Series A was a milestone, but it wasn’t a stopping point. As proof that we’ve only been moving faster than before, I’m excited to share that Numeric raised a $51M Series B, led by investors like IVP, Menlo Ventures, Founders Fund, and more. Over the past year, we've launched AI-powered flux analysis that accountants actually trust, built out cash management tooling, and worked with some of the best finance teams in the industry. This raise funds what’s next: more AI agent capabilities, building a strong finance data layer, and expanding the team. If you're interested in working on hard problems in finance infrastructure, let's talk. More on the round: https://lnkd.in/gvkWqiDx

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Announcing our portco Zeno has raised next round of $25mn with participation from Congruent Ventures Lowercarbon Capital Trifecta Capital ! Advantedge Founders continues to back the team with $2mn additional investment. Its been terrific working with Michael Spencer & Greg Moran to establish the full stack model in Africa. With this raise expansion in new markets and planning for India launch is next steps. https://lnkd.in/gGr6qiBj

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🚀 Big milestone for Attio: today announcing a $52M Series B led by GV (Google Ventures), with Michael McBride joining the Board. This follows incredible momentum in customers, revenue, and team growth. But what excites us most remains the same as the very first day I met Nicolas Sharp four years ago, and the reason we have continued to back Attio from Seed through to Series A to now: game-changing product philosophy, world-class technological leadership and delivery, and resulting customer delight. From day one, Nicolas Sharp and Alexander Christie set out to build a new kind of CRM: ✨ Lightning fast and a delight to use ✨ Built on a flexible, modern data model ✨ All designed to give users full control to build a CRM that works for their GTM motion and seamlessly plug into the rest of their stack That foundation has proven to be exactly the right one. A new generation of GTM builders is emerging with Attio as their central pillar - including companies like Lovable, Granola, Modal and more. And the data model is perfect for building native AI functionality and allowing agents to work with the CRM - some of this is live, some is coming soon 👀  Nick and Alex have assembled a stellar team and have impressively scaled the organisation. Congratulations to them all on this funding milestone. Thank you for having us along for the ride over the past few years, and here’s to an epic next chapter ahead.  More from Nick here: https://lnkd.in/easA6jYV

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This a seductive idea; that organization's context fragments, decision logic gets lost, and an organization is prone to tackle collective amnesia. BUT this comes with a lot of caveats!! - MONOCULTURE: When one system becomes the authoritative interpreter of "why things are the way they are", it will collapse pluralism. An organization actually benefits from various "contested memories". An engineer and sales guy remember different things from a discussion and that helps. Employees can stop arguing with the system not because its correct but its "coherent". - OBSERVER's EFFECT: When people know that the reasoning within systems is being captured, they will change what gets recorded. The negotiations will become "safer" and will contaminate raw signals. - CENTRALIZATION: Interpretation gets centralized upwards. It may appear leadership or executives are gaining synthesis and becoming closer to the ground. But there is no comparison to living through the frictions, not even eclectic summaries. LEADERSHIP MUSCLE NEEDS TO PRACTICE LIVING THROUGH FRICTION OTHERWISE IT WILL TURN SENILE. - BIAS AMPLIFICATION: Model's inbuilt biases can combine with company's cultural quirks resulting in misinterpretations and distortions, worse they get reinforced over time. System will learn how the company thinks and then will optimize for continuity. AMNESIA IS SOMETIME A FEATURE. - SEMANTIC TRUTHS: Unlike objective truths this system will play on subjectivity and will build "causal" relationships that are based on semantics. This over time can form mythical decision norms with no external validity. The real question isn't "CAN IT BE BUILT?". Of course it can be. But "HOW IT SHOULD BE POSITIONSED". #llms #leadership #ai

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Thrilled for OVNI Capital to be backing RIFT in a pre-seed round led by AlleyCorp (Luc Ryan-Schreiber). Rift is building the first real-time aerial intelligence network, a new layer of infrastructure for persistent, on-demand visibility where it matters most. This funding will scale production of their autonomous stations, accelerate deployment in high-stakes environments, and expand the team leading the next phase. 🗞️ Explore the full story: - StartupMafia: https://lnkd.in/dARrg25N - BFM Business (FR): https://lnkd.in/eADSUsn7 - Les Échos (FR): https://lnkd.in/eFG3zAy5 👨‍🚀 Join the mission → https://lnkd.in/erm_SrTG

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Today we officially kick off our $2M pre seed round for Salubrum (Backed by Forum Ventures), supported by Forum Ventures, Coeus Collective Ventures, and Draper House Americas. Healthcare companies spend over $30B a year trying to acquire patients. The problem is not media. The problem is timing. Every time a patient approaches a healthcare decision a moment opens. Which doctor to see. Which procedure to pursue. Which treatment to start. For the companies involved in that decision, knowing that moment exists is incredibly valuable. Salubrum (Backed by Forum Ventures) is building the intelligence layer that maps those decision moments across the U.S. patient population. Our system aggregates large healthcare datasets covering 300M+ patient identities and uses them to predict when individuals are approaching important healthcare decisions. That signal can then be used by providers, pharma companies, payers, and other healthcare organizations trying to reach patients at the right time. Our first wedge is patient acquisition for healthcare providers and brands, but the underlying intelligence layer has much broader applications wherever patient behavior influences economic decisions. Over the past months we have quietly built the foundation. • Early pilots validating our patient intent scoring system • Distribution partnerships forming across healthcare platforms • Backed by Forum Ventures, Coeus Collective Ventures, Draper House Americas, NEXT Canada and Metta World Peace Starting tomorrow we will be meeting investors as part of the Forum Ventures showcase. If you are an investor interested in building with us get in touch. Calendly: https://lnkd.in/e5j-VvGC Investor Memo: https://lnkd.in/e5HyemAp

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I’m thrilled to officially announce our $3M seed investment in Propel People, a company we built inside the 1848 Ventures studio to tackle one of the biggest challenges facing the #construction industry today: the skilled #labor shortage. For small and medium-sized contractors, hiring isn't just a challenge. It's the number one threat to their growth, profitability, and safety. With 94% of contractors struggling to find qualified workers, it’s clear that traditional hiring methods aren't built for the trades. That’s why we built Propel People. It’s a mobile-first, AI-powered hiring platform designed for how construction actually works: in the field. By leveraging smart candidate ranking, instant #SMS-based screening, and a fully #bilingual interface, Propel helps contractors build great crews faster and more efficiently. I’m also thrilled to formally announce that industry veteran Dexter Bachelder is at the helm as CEO. Having worked with Dexter and the team over the last few months, we've already seen the impact of his leadership. His 25 years of experience scaling construction tech companies will be instrumental as Propel People enters this initial stage of growth. This investment reinforces our core thesis at 1848 Ventures: building AI-native companies that solve fundamental pain points for the #SMBs that form the backbone of our economy. A huge congratulations to Dexter and the entire Propel People team on this milestone. We are incredibly proud to partner with you to support the people who build our world. Read the full announcement below. #constructiontech #venturecapital #seedfunding #ai #skilledtrades #smb

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