Dmitry Stepanov @stepa

We, @aal_vc, wrote the check into @mostik_ai at incorporation. Today: #1 on ARC-AGI. 15 people, 12 PhDs, a Fields medalist — proof that genuinely different models can collaborate without either losing what makes it distinct. Diversity + collaboration, working exactly as it should.

Sasha Malysheva @aimalysheva

2 weeks ago

meet @mostik_ai! what happens when you put 12 PhDs in one room for four months? first place on the ARC-AGI leaderboard, which I can't say much about while the competition is still running. and this, which I can. everyone's arguing about whether open models will catch up to

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1/ @higgsfield AI just closed $400M at a $5.4B valuation — 4x its $1.3B mark from 8 months ago. @global_dst led, joined by @GoldmanSachs , @intel , @libertyglobal, @tribecap, Smash Capital, @fifthwallvc + more. 2/ ARR reportedly hit $700M in August, up from ~$20M a year ago. Enterprise now drives the majority of revenue vs. <25% in January. 30M+ users, 238 countries. 3/ @alexmashrabov posted something that stuck with us: Kazakhstan just took #1 in the world at the Physics Olympiad — 5/5 golds, one medalist headed to MIT. Higgsfield is built mostly by a Kazakhstan team. Same talent pipeline, same rigor — a generation later, scaling one of the fastest GenAI companies on the planet. 4/ This is our thesis at @aal_vc: back deeply technical founders wherever they build, before the category has a name. Proud to keep backing builders like this.

How to top that? To build something together!

Sasha Malysheva @aimalysheva

a month ago

12 PhDs and a Fields Medalist in the mountains arguing about latent communication, and it happened to be my birthday 🎂 taking suggestions on how to top that 😂

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Recraft just hit #1 on public image gen benchmarks — 2 weeks post-launch. Our @recraftai portfolio company. Founded by the creator of CatBoost. Own foundation model. No API wrappers. This is exactly what we back at @aal_vc.

Recraft @recraftai

4 months ago

Two weeks since launch, and the public benchmarks are in. Recraft is officially the #1 independent image generation lab 🚀

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My friend and partner at AAL VC, @ashvardanian, already has the code ready before the hardware ships. That's the kind of founder and GP you want ahead of the curve.

Ash Vardanian @ashvardanian

4 months ago

Vera nice indeed! As SpaceX, OpenAI, & Anthropic start getting NVIDIA Vera CPUs, they may soon discover that the only open-source codebase GitHub can find optimized for Vera is my NumKong mixed-precision library 😎 vdotq_f32_mf8 is already there: github.com/search?q=vdotq… The

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@TheStageAI, an @aal_vc portco, just opened their platform to everyone. @GarchFather and team built AI compression tech inside Huawei that shipped in millions of phones — now they're making that same power available to every AI developer. The problem they're solving: up to 70% of AI costs are pure GPU infrastructure. Their platform compresses, compiles & deploys models with up to 5x cost reduction. No quality loss. Hours instead of months. @recraftai already doubled model performance with it. If you're an AI dev or founder tired of brutal inference bills — go try it.

TheStage AI @TheStageAI

4 months ago

TheStage AI Platform is now open to everyone. Automatically accelerate your models and download them to run in the cloud or on smartphones.

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Proud to back xmemory as an @aal_vc portco. We invested early — before the story was obvious. Memory is becoming core infrastructure for AI. xmemory is building right at that layer.

xmemory @xmemory_ai

5 months ago

We’re excited to share that our team at @xmemory_ai has published our main white paper. The core idea is simple: without focus, AI systems try to "remember" everything, and that is where they fail. Schema is the best way to teach them focus. We compared xmemory against major

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Thrilled to see @xmemory_ai featured in @BessemerVP’s latest AI Infrastructure Roadmap for 2026. We’re one of the companies highlighted in Memory, Context, and State Management, alongside seven other strong builders. What stands out even more than the mention is the broader shift it signals: memory is becoming core infrastructure for production AI. As AI moves from one-off interactions to persistent, real-world workflows, the systems that win will be the ones that can retain context, manage state, and stay grounded over time. Proud of what the our team is building, and excited for what comes next. #AIInfrastructure #Memory #ContextManagement #AgenticAI #EnterpriseAI

Memory is becoming the next critical layer in AI. Excited to back xmemory — building a precision-first memory layer for AI systems, fixing reliability at the root (the “write path”) instead of patching it later. $4M pre-seed, strong syndicate — and just getting started. Proud this is an @aal_vc portfolio company.

xmemory @xmemory_ai

6 months ago

Today we’re sharing our first blog post: “Schema as the Core of Reliability.” Our view is simple: AI memory breaks down when facts are stored as unstructured text and reconstructed later. That approach can work for thematic recall, but it becomes fragile when systems need to

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Some contributions quietly reshape the entire stack. Huge respect to @ashvardanian for an insane multi-year open-source effort — pushing SIMD, vector search, and numerical computing forward. Proud to have him as the CTO at @aal_vc. This is what real infra-level innovation looks like.

Ash Vardanian @ashvardanian

6 months ago

My biggest open-source release! NumKong — 2'000+ SIMD kernels for mixed-precision numerics, from Float6 to Float118. Started in 2023. Opened the PR in 2024. Finally, merged this week! RISC-V, Intel AMX & AVX-512, Apple SME & SVE, WASM Relaxed SIMD. 200'000 lines of code in a 5

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The real signal around GTC isn’t just on stage — it’s in rooms like this. Activeloop convening top builders across AI infra + physical AI. We invested via @aal_vc with a clear thesis: data infrastructure will define the next decade of AI. Glad to be part of it.

Davit @DBuniatyan

6 months ago

Jensen just announced the start of the GPU-accelerated database era at #GTC26. AI runs on GPUs. But your data still runs on CPUs. That mismatch is breaking the AI stack. For the last two months, we’ve been busy solving this problem. Excited to announce Deeplake becoming the

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AI apps are getting complex fast. Not just prompts — but systems of agents, tools, and workflows. Observability is becoming the bottleneck. Laminar is building right at that layer. Proud that @aal_vc participated in the round.

Robert @skull8888888888

6 months ago

Excited to share that @lmnrai has raised $3M to build open-source observability for long-running AI agents. Laminar is how companies like @browser_use, @OpenHandsDev, and Rye see what their agents are doing, understand why they fail, and spot patterns across millions of runs.

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Cinema Studio 2.0 is officially live! Proud to have @higgsfield_ai in the AAL VC portfolio. Watching @amashrabov and the team bridge the gap between AI and true filmmaking has been incredible. Seeing directors like Emmy-winning filmmaker Jason Zada use it to remove the "production tax" on creativity is the ultimate proof of concept.

Alex 🧩 Scaling Video GenAI @alexmashrabov

7 months ago

Today is a big day for us. We've just released SOUL 2, the next generation of our flagship in-house image model. This is a product we've been working on for the past six months. A bit of backstory: when we released the first SOUL, the response was absolutely rewarding. It

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What started in 2020 as a simple podcast tool grew into Async — an AI studio connecting ideation -> production > localization in one flow. A good reminder: big AI platforms often start as small, focused tools. Shrink the distance between imagination and output, and creators win.

Async Platform @async_platform

8 months ago

📷𝐏𝐨𝐝𝐜𝐚𝐬𝐭𝐥𝐞 𝐢𝐬 𝐧𝐨𝐰 𝐨𝐟𝐟𝐢𝐜𝐢𝐚𝐥𝐥𝐲 𝐀𝐬𝐲𝐧𝐜! No, we weren’t acquired. No, we’re not going anywhere. Just getting smarter, faster, and fully AI-powered. Step inside Async.com unleash your ideas now! More details coming soon!

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📷𝐏𝐨𝐝𝐜𝐚𝐬𝐭𝐥𝐞 𝐢𝐬 𝐧𝐨𝐰 𝐨𝐟𝐟𝐢𝐜𝐢𝐚𝐥𝐥𝐲 𝐀𝐬𝐲𝐧𝐜! No, we weren’t acquired. No, we’re not going anywhere. Just getting smarter, faster, and fully AI-powered. Step inside Async.com unleash your ideas now! More details coming soon!

Some news hits differently when you can trace it to real human journeys. Watching friends like Alexander and Razmig spend years building, betting early, and bridging ecosystems — and now seeing those paths converge in Armenia–US AI momentum — is a reminder: big tech stories are human first. Grateful to witness it.

Mkhitar Hayrapetyan @Hayrapetyan_M

7 months ago

🔥 Firebird AI 👉 $4B investment in 🇦🇲 Armenia US @VP @JDVance announced approval of export licenses for Phase 2 of @FirebirdCloudAI’s project-launching the region’s largest AI supercomputer (up to 50,000 @nvidia GPUs) & marking one of the largest 🇦🇲🇺🇸 tech partnerships to date.

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“The quality of your life is determined by the quality of the questions you ask yourself.” — Tony Robbins 2026 remix: The quality of your life is shaped by the feedback loop between the questions you ask AI and how you handle the responses.

A few years back I asked a partner at a top VC why they didn’t invest in Europe. His answer stuck with me: “Because there isn’t really a Europe.” What he meant was the fragmentation — languages, rules, cultures — made it hard for investors to treat the region as one market. Today that’s starting to change. The European Commission is moving forward with a new EU-wide corporate structure (often called “EU Inc”), a game-changer for scaling startups across borders — harmonised company law, standardised equity frameworks, and interoperable governance. If implemented well, this could: • Remove legal friction • Lower the cost of cross-border growth • Make European founders more fundable globally • Reduce the pull toward Delaware as a default legal home More than policy, it’s infrastructure — and it signals that Europe wants to compete, not just regulate. Excited to see what this unlocks for founders, VCs, and builders in the years ahead.