Luigi Bajetti (@baiogi) header
Luigi Bajetti (@baiogi) profile picture

Managing Partner & Founder @lombardstreetVC

Woodside, CA
Joined August 2009
Photo by Luigi Bajetti (@baiogi)Photo by Luigi Bajetti (@baiogi)Photo by Luigi Bajetti (@baiogi)Photo by Luigi Bajetti (@baiogi)Photo by Luigi Bajetti (@baiogi)Photo by Luigi Bajetti (@baiogi)Photo by Luigi Bajetti (@baiogi)Photo by Luigi Bajetti (@baiogi)Photo by Luigi Bajetti (@baiogi)
Luigi Bajetti retweeted
Agent memory gets harder the longer a chat runs. We wondered: how well does Observational Memory hold up at 100K, 1M and 10M tokens? So we ran it on BEAM, the long-term memory benchmark, with default settings. Turns out it has the top published scores at 100K and 1M:
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Luigi Bajetti retweeted
Today, we're excited to announce that we have raised $10 million in funding and officially launched Sava Trust Company, an AI-native, modern trust company chartered in Nevada, open to clients and their attorneys & advisors nationwide. Our funding was led by @GradientVC, with participation from @ycombinator, @svangel, @Max, @orangecollectv and @SurgePointCap. For too long, trust administration has relied on manual processes, disconnected systems, and complex fee structures. Establishing a trust can take weeks or months, with limited visibility for families and their advisors over the life of the trust. With Sava, we're building a better way. youtube.com/watch?v=yR2bV3KT…
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Superset is now Paradev: The code editor that helps engineers run armies of coding agents. We just raised an $11.5M Seed round led by @usv with @ycombinator to redefine how software is written.
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Luigi Bajetti retweeted
Introducing Exa 3.0: our largest ever improvement to search quality. Exa is now #1 on every benchmark we tested, from public evals to verticals like coding and GTM intelligence. It's the result of multiple research breakthroughs 🧵
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Luigi Bajetti retweeted
1) Today we're announcing Atomwell, our state-of-the-art foundation model for predicting experimental outcomes, alongside scaling laws for molecular discovery. We trained models from 800M to 9B parameters on ~80M experimental measurements, and found clean scaling laws in both model size and data.
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Luigi Bajetti retweeted
Exa just passed $100m in annualized revenue. We've grown almost exactly 10x per year for 3 years. We now handle 2 billion requests a month from 200k+ teams. And it’s still so early: We predict agents will search 1000x more than humans by 2030. Agents don't search like humans. They write long, complex queries and want all the world's data, not just the web. We've spent 5 years building a search engine designed for them. We now serve personal agents, AI labs, coding agents, GTM agents, really any agent. Exa gives these agents access to 100s of billions of web documents and tons of proprietary data. Our customers are increasingly noticing that information is the bottleneck to agent performance. While the world seems close to perfect intelligence with models like Fable and Astra, we are very far from perfect information. To our small but legendary team, thank you for getting us here, from engineering to research to GTM to ops. To our customers, it is an honor to serve you. We have some exciting releases coming soon and can't wait to share them 🫡
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Luigi Bajetti retweeted
Our AI found a bug that let anyone mint infinite XRP, with $94B at risk. It had been hiding in one of the most audited codebases in crypto for nearly a decade, and earned us the maximum $250K bounty. Here's how it went unnoticed, and how we found it.
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Luigi Bajetti retweeted
We built an 8000 sqft. high-throughput wet-lab in 30 days, to solve molecular discovery - starting with pesticides. Most teams in drug-discovery don’t receive target-organism verification until clinical trials. Pesticides allow us to rapidly validate our model in the target organism directly. With the help of our high-throughput lab, we were able to generate compounds that killed a $13 billion pest, the Fall Armyworm. We believe that the bitter lesson is coming for biology.
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Luigi Bajetti retweeted
We built a time machine for the web. Introducing Exa Snapshot: an index of 400 billion historical snapshots of webpages that lets you search as if it's the past. Snapshot is already being used for backtesting prediction models, RL at labs, exploring the pre-AI web, and more.
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Luigi Bajetti retweeted
Replying to @beyondreachlabs
@beyondreachlabs is announcing Flarewing™, our answer to the fast-growing power demand on satellites. Flarewing™ comes in three configurations built around common satellite form factors, from ESPA-class up to large buses, topping out at 200 kW on the Flarewing-L. Flarewing™ packs up to 100 kW per cubic meter of stowed volume depending on configuration. Thanks to our novel mechanism, our large deployed array area doesn't come at the cost of stiffness. All max configurations hold a first structural mode above 0.05 Hz, maintaining satellite maneuverability and pointing accuracy. Flarewing-S completed its first deployment and is on track to finish a full space qualification campaign before the end of 2026, with the M and L to follow. Built for constellations that need real power at production scale. Our team has been focused on the power problem, so if you want your satellites in Space faster, the question of buy vs. build has never been easier.
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Luigi Bajetti retweeted
Software engineering is becoming a hierarchy of loops. So today we're launching Mastra Factory: a system for agents to take software from issue into production. Get started with 𝚗𝚙𝚖 𝚌𝚛𝚎𝚊𝚝𝚎 𝚏𝚊𝚌𝚝𝚘𝚛𝚢:
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Luigi Bajetti retweeted
Introducing Exa Connect: connecting agents to data beyond the public web. Available today with ZoomInfo, Crunchbase, Similarweb, and many other leading data providers. exa.ai/connect
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Luigi Bajetti retweeted
Today we're launching @mastra `Harness` `Harness` gives you a `Session` with plan/build modes. It lets you manage thread lifecycle, spawn or fork subagents, approve tools per-call or session, ask user questions, queue/steer. With skills, sandbox, browser, heartbeat. channels:
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Luigi Bajetti retweeted
We raised $250M in Series C funding at a $2.2B valuation, led by a16z. Exa is a search lab organizing the web's data for agents.
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Luigi Bajetti retweeted
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Luigi Bajetti retweeted
We have raised $7 million in funding, led by @Initialized to build the next generation of air traffic systems. We’re joined by investors such as United Airlines, Y Combinator, and other amazing firms and angels who I'll tag at the end of this thread
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Luigi Bajetti retweeted
The unexpected side of venture is that it grows your ambitions in a way that you don't expect. When I first started @archildata, I was hoping that organizations could use it to build a lower-cost way to run applications like Wordpress or genomic sequencing. This is pretty far from where we've landed! There are two cataclysmic changes coming to how we think about infrastructure over the next few years. First, the next wave of applications are *stateful* in way that tools like Kubernetes don't solve for. Secondly, the models that are going to underpin these applications overwhelmingly prefer to use the file system as the transactional system of record. This means that the world is in desperate need for a file system that provides a first-class developer (and agent!) experience to solve for these applications. If you look at what's available, though, XFS was released in 1994 and ZFS was released in 2005. These aren't going to be the right tools! People who don't work in file systems continue to operate under the assumption that these systems from the turn of the millennium are the best that we will ever get, and that's just not the case. I'm just *so* excited for what's to come with Archil, and we've only just started to lift the veil with releases like Serverless execution this week. Thank you to @Standard_Cap and our existing investors for their support and conviction to make this vision a reality. You can get an Archil disk today by running `npx disk create` and it's the worst version of the product that will ever exist. Onward!
Today, we're announcing our $11M Series A raise, led by @Standard_Cap in order to build the layer that connects AI to its data. The next generation of agentic applications are inherently stateful in a way that existing primitives don't solve for. Archil solves this for agents by giving them an infinite, high-performance file system that they can use to directly run bash and Linux programs.
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Luigi Bajetti retweeted
Today we're pleased to share that Sygaldry has raised $139M to build quantum-accelerated AI servers for AI data centers, delivering more compute per watt. We're hiring brilliant, curious, kind, and collaborative scientists, engineers, and more. bit.ly/48KBufk
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Luigi Bajetti retweeted
We’re excited to announce today that @mastra has raised a $22M Series A led by Spark Capital. This brings our total capital raised to $35M:
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Luigi Bajetti retweeted
Today, we’re launching the Mastra platform with tools to run your agents effectively at scale: • Mastra Studio: evals, logs, traces, datasets, metrics • Mastra Server: deploy agents + workflows • Memory Gateway: SoTA agent memory
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