case showing two NVIDIA GPUs installed side by side — an RTX 4070 and an RTX 2070 SUPER — on a consumer motherboard, the secondhand dual-GPU build used for local LLM inference. In AI Advances Gian Luca Bailo · Jun 10 Running 26B and 35B LLMs at Full Speed on €990 of Used Hardware — No Cloud Required ### How a secondhand gaming PC keeps pace with a single RTX 3090 for local AI inference — and what I learned measuring it honestly, including… 174 2 []( []( ! : The system’s own map of its architecture — inputs (cameras, oximeter, watch), a core (memory, reasoning, reflection), outputs (lights, image generation, haptics). A body, laid out as a wiring diagram. In Towards AI Gian Luca Bailo · 4d ago Brick by Brick: How My Home AI Is Growing a Body ### For about two months, the AI running in my house has been less like an assistant and more like a presence — it remembers across days, it… 1 []( []( ! : Claude 4.6 and the Commodore 64: When an LLM Writes, Builds, and Playtests Its Own Game In AI Advances Gian Luca Bailo · Feb 8 Claude 4.6 and the Commodore 64: When an LLM Writes, Builds, and Playtests Its Own Game ### I gave an AI agent a 1982 computer, a cross-compiler, and an emulator. It read the docs, picked its own project, wrote an Arkanoid clone in… 176 6 []( []( See all from Gian Luca Bailo Recommended from Medium ! : Vibe coding is really over this time, claude terminal window telling you to stop Michal Malewicz · 3d ago You only have weeks left to vibe code ### Then it’s over. You better hurry up! 2.2K 80 14 []( []( ! : Vibe Computing: The Moment We Stop Operating Computers In Write A Catalyst Tarun Singh · 3d ago Vibe Computing: The Moment We Stop Operating Computers ### For most of my life, using a computer meant learning how the computer wanted to be used. 50 1 []( []( ! : I Built a 100% Open-Source, Local Multi-Agent AI Chief of Staff on My Laptop. Here’s the Blueprint. In Data Science Collective Xavier Vasques · 6d ago I Built a 100% Open-Source, Local Multi-Agent AI Chief of Staff on My Laptop. Here’s the Blueprint. ### It’s 7:00 p.m. on a Friday. My MacBook is humming softly. A six-agent system I built over the last few weeks has just finished transcribing… 144 4 1 []( []( ! : Pot Calling the Kettle Black: Why Closethropic Is Targeting Qwen This Time Andrew Zhu · Jun 25 Pot Calling the Kettle Black: Why Closethropic Is Targeting Qwen This Time ### My dear friends, On June 24, 2026, Anthropic sent a letter to US Senators Tim Scott and Elizabeth Warren accusing Alibaba’s Qwen team of… 107 7 2 []( []( ! : Ornith-1.0 promotional banner showing the model name in orange text, a cartoon bird mascot wearing glasses and coding on a laptop, with checkmarks listing the four model sizes: 9b-dense, 31b-dense, 35b-moe, and 397b-moe. Tagline reads: Open-Source LLMs Specialized for Agentic Coding. In Level Up Coding Kashif Mehmood · 3d ago Ornith 1.0: The 9B Coding Model That Writes Its Own Harness ### Ornith-1.0–9B scores 69.4 on SWE-bench Verified. The 9B Qwen 3.5 baseline sitting next to it in the same model card scores 53.2. Move up to… 136 3 []( []( ! : The GPT 5.6 Models Are A Big Improvement, Whenever The Public Gets Access In Towards AI Caspar Bannink · 3d ago The GPT 5.6 Models Are A Big Improvement, Whenever The Public Gets Access ### OpenAI: the GPT-5.6 launch post, dated June 26, 2026. The three models are Sol (flagship), Terra (balanced), and Luna (fast and… 46 1 1 []( []( See more recommendations Help Status About Careers Press
Show HN: Opplic AI growth employees for web agencies
/ support@ Book a demo AI Growth hire for ^ Web Agencies, ` Results that Scale. No code required. Nothing goes live until you approve it. Your AI growth team that works 24/7 for every client Opplic turns every client website into a compounding growth engine, learning the business, finding missed demand, opening approval-ready Growth PRs, then shipping website campaign improvements only after you say yes. Five steps. You stay in control of all of them. opplic does the work of a growth team for every client at once, and checks with you before anything ships. Growth step 01 Connect a client site Connect connected connected reading… Connect your client sites Point opplic at the websites you already manage. You don't touch any code. We read each site and the channels around it. Growth step 01 Connect a client site Connect conne
/ support@ Book a demo AI Growth hire for ^ Web Agencies, ` Results that Scale. No code required. Nothing goes live until you approve it. Your AI growth team that works 24/7 for every client Opplic turns every client website into a compounding growth engine, learning the business, finding missed demand, opening approval-ready Growth PRs, then shipping website campaign improvements only after you say yes. Five steps. You stay in control of all of them. opplic does the work of a growth team for every client at once, and checks with you before anything ships. Growth step 01 Connect a client site Connect connected connected reading… Connect your client sites Point opplic at the websites you already manage. You don't touch any code. We read each site and the channels around it. Growth step 01 Connect a client site Connect conne
cted connected reading… Each client gets its own growth employee opplic learns that client's services, customers, brand voice, and goals, kept completely separate from your other clients. Growth step 02 Valora · growth employee Kept separate from your other clients It opens a Growth PR It spots an opportunity and writes up a plain-English proposal: what it'll change, why, and the result it expects. You review it like an email. Growth step 03 Growth PR #42 Ready to ship 8 city landing pages Common-questions section + map "Get the app" above the fold Approve all It ships site + campaigns together Growth step 04 Shipping site + campaigns 8 pages updated on Matching campaigns LinkedIn post queued Google Business live It measures, reports, and learns You see the leads and revenue each change produced. What wins for one client becomes a playbook opplic reuses across your whole portfolio. Growth step 05 Results · last 30 days The engine It runs the same loop every day and gets better each time. One growth employee per client, repeating a simple cycle. Yesterday's results shape today's work, so the posts and pages compound instead of starting from zero. Services, customers, voice, and goals. Kept separate per client. Engagement on posts, leads & ranking from every change. Decides what users want to see, and what the site should drop. DAILY · per client · compounding Two clocks, honestly. Posts get same-day feedback; SEO & site PRs are proposed continuously but measured over weeks. The engine runs daily. Search just takes longer to ripen. You're always in the loop. Every site change waits for your approval, and you can redirect the AI any day. It never goes off on its own. It learns what to cut. What users engage with shapes the next posts; what the data says a site is missing shapes the next PR. Less guessing each cycle. One approval. Every channel, shipped in sync. Approve a Growth PR and opplic coordinates the website change with the matching campaigns, with no copy-pasting between five disconnected tools. Search-ready landing pages & local SEO Four things generic AI tools can't do. 01 It changes the actual website Not just a content calendar. Real SEO and conversion improvements on the live site, every one tracked and reversible. A page structure that books jobs for a plumber becomes a reusable playbook applied across your whole book of clients. Every change ties to a result you can show the client. The retainer conversation stops being a guess. One agency = dozens of client deployments, and every client's wins make the next proposal smarter. That compounding, distribution plus shared playbooks, is what generic, sell-to-one-company tools can't copy. It's your growth team. Your logo on it. Run every client's growth employee from one workspace, and resell the whole thing under your own brand. Your clients see you delivering measurable growth. opplic stays invisible. Your branding, your domain, your client portal Manage dozens of client growth employees in one place Optional second approval step for clients who want it Per-client reporting you can send straight to retainers Your Agency · Growth Building momentum. Delivering results. 5 clients · 12 Growth PRs this month Live All systems operational Client Status Last update Apex Labs +14 bookings 2h ago Nimbus Finance +22 quote requests 4h ago Kindly Health Ready to review 6h ago Northbeam Inc. Measuring 1d ago Greenly +9 leads 2d ago 5 Active Clients +37 +18% Total Impact Real results. Real
growth. 1 workspace to run every client's growth, instead of 30 disconnected tools. a growth employee per client, always auditing, proposing, and measuring. things shipped without your approval. You hold every gate. Priced per client. Scales as your book does. Start with a few clients, prove the leads, then roll it across your whole portfolio. A growth employee per client Growth PRs with one-click approval Site changes + matching campaigns Leads & revenue reporting per client Start free trial Most agencies white-label included · 6–40 clients Everything in Studio Full white-label: your brand & domain Optional client approval workflow Cross-portfolio playbook learning Priority human support Book a demo At scale 40+ clients · volume pricing Everything in Agency Custom integrations & SSO Dedicated success manager Portfolio benchmarking Talk to us FAQ For the non-technical owner. Do I need to know how to code? No. You review proposals in plain English and approve them like you'd approve an email. opplic handles every technical detail behind the scenes, so you stay focused on your clients and their results. What if my client's site isn't built the technical way? Will anything go live without me seeing it? How do you measure leads and revenue? 9:41 opplic › today 9:41 AM 8 local landing pages for Valora + matching IG & LinkedIn posts. approve? approve all 👍 shipped. reporting the leads in 21 days iMessage 10-minute setup Connect the client sites you already manage. Wake up to pages shipped, posts published, leads tracked, retainers renewed. opplic pings you a Growth PR the moment something's ready to approve. or email support@ No code required · Nothing ships without your approval © 2026 opplic . All rights reserved.
中信建投首次覆盖明略科技( )，公司Agentic Services业务未来有望快速发展
从去年开始，明略科技完成了一场从传统数据智能企业向Agentic AI服务商的系统性转型。 明略科技创始人吴明辉在2025年年报中发文表示，“2025年，公司完成了一次关键转型——从帮助客户‘看懂数据’，到帮助客户‘拿到结果’。2026年，我们的核心任务是将已验证的Agentic Services交付能力推向更大规模。” 转型初见成效，自研模型加速卡位Agentic AI赛道 2025年，明略科技正式在原有Data Intelligence（数据智能）业务板块之外，新增了Agentic Services（智能体化服务）业务板块。 新增业务下，明略科技在技术基础设施上进行了重构，搭建了DeepMiner + 自研模型体系。在去年10月，其模型Mano在OSWorld榜单位列总榜第二、Mind2Web榜单第一；Cito在BFCL小尺寸模型领域排名第一。DeepMiner已升级至V2版本，员工实现100%接入平台，可自主创建并部署专属业务Agent。 而在2025年，明略科技Agentic Services业务板块采用按效果计费模式，客户为可量化的业务结果付费，例如营销ROI的提升、内容产出效率的倍增。 在营销场景中，明略科技打通了从洞察策划、多模态内容生产到投放执行的全链路，以近3倍的运营效率帮助客户实现平均20%的营销效果提升。新增大客户中超过30%来自该业务板块，大客户续约率达96%，2025年首年Agentic Services业务板块即贡献收入超1亿元。 5月，明略科技开源端侧GUI-VLA模型Mano-P（OSWorld专用模型榜全球第一）和推理加速框架Cider；发布首款AI Native硬件Octic，完成“感知—处理—协作”的软硬一体化闭环。 6月，明略科技又发布为AIPC量身打造的Mano-CUA-2.0并上线Thinking模式，在100道真机任务测试中成功率提升9%；与博泰车联签署战略合作协议，将Agentic AI延伸至智能网联汽车赛道；受邀出席
从去年开始，明略科技完成了一场从传统数据智能企业向Agentic AI服务商的系统性转型。 明略科技创始人吴明辉在2025年年报中发文表示，“2025年，公司完成了一次关键转型——从帮助客户‘看懂数据’，到帮助客户‘拿到结果’。2026年，我们的核心任务是将已验证的Agentic Services交付能力推向更大规模。” 转型初见成效，自研模型加速卡位Agentic AI赛道 2025年，明略科技正式在原有Data Intelligence（数据智能）业务板块之外，新增了Agentic Services（智能体化服务）业务板块。 新增业务下，明略科技在技术基础设施上进行了重构，搭建了DeepMiner + 自研模型体系。在去年10月，其模型Mano在OSWorld榜单位列总榜第二、Mind2Web榜单第一；Cito在BFCL小尺寸模型领域排名第一。DeepMiner已升级至V2版本，员工实现100%接入平台，可自主创建并部署专属业务Agent。 而在2025年，明略科技Agentic Services业务板块采用按效果计费模式，客户为可量化的业务结果付费，例如营销ROI的提升、内容产出效率的倍增。 在营销场景中，明略科技打通了从洞察策划、多模态内容生产到投放执行的全链路，以近3倍的运营效率帮助客户实现平均20%的营销效果提升。新增大客户中超过30%来自该业务板块，大客户续约率达96%，2025年首年Agentic Services业务板块即贡献收入超1亿元。 5月，明略科技开源端侧GUI-VLA模型Mano-P（OSWorld专用模型榜全球第一）和推理加速框架Cider；发布首款AI Native硬件Octic，完成“感知—处理—协作”的软硬一体化闭环。 6月，明略科技又发布为AIPC量身打造的Mano-CUA-2.0并上线Thinking模式，在100道真机任务测试中成功率提升9%；与博泰车联签署战略合作协议，将Agentic AI延伸至智能网联汽车赛道；受邀出席
首届北京—伯明翰科技周，加速全球化布局；正式开源发布Octo——全球首个开源可信的Agent协作网络，卡位“Agent互联网”底层协议。 2026年7月，中信建投首次覆盖明略科技。认为公司正处于从传统数据智能向Agentic AI战略转型的关键期，新业务Agentic Services去年下半年落地即兑现高增长。 中信建投在研报中总结了明略科技Agentic Services未来增长点： 一、强β：AI需求旺盛，企业AI Agent赛道万亿市场，长期成长空间充足。 二、场景拓展：Agentic Services当前主要在营销场景落地，后续有望向电商代运营、短剧等内容生成等场景拓展； 三、新平台和商业模式的落地：已推出人+Agent协作的平台Octo，未来有望基于token调用收费。 四、依托与腾讯的股权、业务合作，AI应用领域深度合作，有望打开增长空间。看好公司战略转型，其布局AgenticAI的核心优势源于20年行业深耕积累的线上线下多模态商业数据（秒针营销系统），叠加自研DeepMiner智能体平台等全套模型技术体系。
中美AI角力｜阿里据报从下周五起 禁员工使用Anthropic AI模型
阿里巴巴 （9988） 据报于内部宣布全面禁用Anthropic旗下Claude模型，员工被要求卸载Anthropic旗下产品，包括Sonnet、Opus、Fable等多个模型，及Claude Code在内的Agent产品。有关安排从下周五（10日）生效。 陆媒引述据消息人士指，阿里内部自年初以来为鼓励员工使用AI技术，不仅推出内部模型免费额度，还对外部模型实行大额报销政策。员工可自由选择Claude、GPT、Gemini等外部模型，不少程序员每周消耗额度高达数百美元，并将Claude Code、OpenAI Codex 与阿里旗下Qoder都作为高频使用Agent工具。 据此前报道，Reddit网友发帖称其在逆向分析Claude Code 2.1.196版本时，发现该工具自4月2日发布的2.1.91版本起便内置了一套隐蔽的检测机制，会在用户开启智能体时检查系统时区是否为中国时区，以及URL是否匹配一份包含147个条目的域名清单，当中包括百度、阿里、字节跳动、月之暗面、MiniMax、阶跃星辰等中国科技企业及AI实验室的域名，及大量Claude API中转服务地址。 事件曝光后在开发者社区广泛流传。Anthropic Claude Code团队成员Thariq Shihipar日前在X上回应称，该机制是团队于3月上线的“实验性”措施，防止未经授权的账户转售及防范模型蒸馏攻击，并表示相关代码已在当日发布的新版本中“完全回滚”并删除。 此前Anthropic指控阿里巴巴利用数千个虚假账户发动大规模行动，“非法”访问Claude AI模型，从而规避Anthropic将其产品限制在中国市场之外的政策。 Anthropic致多位美国参议员和白宫官员的信函指出，与阿里旗下Qwen AI实验室有关联的运营者发起了一场针对软件编程和智能体推理等Claude最核心功能的行动。该公司称，这是迄今为止中国公司试图搭美国顶尖实验室顺风车的最大规模尝试。 根据知情人士和《彭博》看到的一份文件副本，Anthr
阿里巴巴 （9988） 据报于内部宣布全面禁用Anthropic旗下Claude模型，员工被要求卸载Anthropic旗下产品，包括Sonnet、Opus、Fable等多个模型，及Claude Code在内的Agent产品。有关安排从下周五（10日）生效。 陆媒引述据消息人士指，阿里内部自年初以来为鼓励员工使用AI技术，不仅推出内部模型免费额度，还对外部模型实行大额报销政策。员工可自由选择Claude、GPT、Gemini等外部模型，不少程序员每周消耗额度高达数百美元，并将Claude Code、OpenAI Codex 与阿里旗下Qoder都作为高频使用Agent工具。 据此前报道，Reddit网友发帖称其在逆向分析Claude Code 2.1.196版本时，发现该工具自4月2日发布的2.1.91版本起便内置了一套隐蔽的检测机制，会在用户开启智能体时检查系统时区是否为中国时区，以及URL是否匹配一份包含147个条目的域名清单，当中包括百度、阿里、字节跳动、月之暗面、MiniMax、阶跃星辰等中国科技企业及AI实验室的域名，及大量Claude API中转服务地址。 事件曝光后在开发者社区广泛流传。Anthropic Claude Code团队成员Thariq Shihipar日前在X上回应称，该机制是团队于3月上线的“实验性”措施，防止未经授权的账户转售及防范模型蒸馏攻击，并表示相关代码已在当日发布的新版本中“完全回滚”并删除。 此前Anthropic指控阿里巴巴利用数千个虚假账户发动大规模行动，“非法”访问Claude AI模型，从而规避Anthropic将其产品限制在中国市场之外的政策。 Anthropic致多位美国参议员和白宫官员的信函指出，与阿里旗下Qwen AI实验室有关联的运营者发起了一场针对软件编程和智能体推理等Claude最核心功能的行动。该公司称，这是迄今为止中国公司试图搭美国顶尖实验室顺风车的最大规模尝试。 根据知情人士和《彭博》看到的一份文件副本，Anthr
opic在信中声称，该行动涉及在4月至6月期间，通过近25,000个虚假账户与Claude进行了2,880万次交互。Anthropic表示，阿里此番行动与该公司今年早些时候在博客中提及的其他中国开发者类似行为如出一辙。 Anthropic警告称，阿里和其他中国实验室正在系统性地、未经授权地使用美国领先模型的成果，通过一种名为“对抗性蒸馏”的方法，以极低成本开发具有竞争力的聊天机器人。该公司警告说，使用这种方法构建的AI系统往往缺乏安全防护措施，并敦促特朗普政府加大力度阻止这种做法。 Anthropic在信中写道﹕“这些蒸馏攻击是非法、系统性地以工业规模进行，目的是窃取美国前沿实验室的AI能力，并将其重新包装成自己的能力，而无需承担训练美国前沿模型所需的培训和研发成本”。
遭Anthropic指控蒸馏攻击 阿里全面禁用Claude全系产品
快科技7月3日消息，据媒体报道，阿里巴巴今日下发内部通知，全面限制员工使用Anthropic 旗下Claude 全系产品，要求全体员工卸载相关工具，禁令将于7月10日正式落地。 本次封禁范围覆盖Sonnet、Opus、Fable 等全系列大模型，以及Claude Code等智能Agent开发工具，阿里内部将彻底切断Claude使用通道。 今年年初，阿里曾大力推动员工落地AI工具应用，对内开放自研大模型免费调用额度，同时放开外部商用模型报销权限，员工可按需选用 Claude、GPT、Gemini等海外大模型。 不少研发人员依赖Claude Code、OpenAI Codex搭配阿里自研Qoder 开展开发工作，单周外部模型调用开销可达数百美元。 此次一刀切禁用Claude，导火索源于Anthropic向美国监管机构提交的指控文件。 6月24日有消息披露，Anthropic于6月10日致函美国参议院银行委员会，声称4月22日至6月5日期间，阿里通过约 2.5 万个虚假账号，累计与Claude产生超2800万次交互，并单方面将该行为定义为 "工业级模型蒸馏攻击"，甚至拔高至国家安全相关层面。 针对该指控，Anthropic同步收紧全球账号风控规则。值得注意的是，这并非该企业首次针对国内AI企业提出同类指控。 早在今年2月，Anthropic就发布公开声明，以近乎一致的说辞，指控 DeepSeek、月之暗面、MiniMax 三家国内AI实验室对Claude实施大规模模型蒸馏。
快科技7月3日消息，据媒体报道，阿里巴巴今日下发内部通知，全面限制员工使用Anthropic 旗下Claude 全系产品，要求全体员工卸载相关工具，禁令将于7月10日正式落地。 本次封禁范围覆盖Sonnet、Opus、Fable 等全系列大模型，以及Claude Code等智能Agent开发工具，阿里内部将彻底切断Claude使用通道。 今年年初，阿里曾大力推动员工落地AI工具应用，对内开放自研大模型免费调用额度，同时放开外部商用模型报销权限，员工可按需选用 Claude、GPT、Gemini等海外大模型。 不少研发人员依赖Claude Code、OpenAI Codex搭配阿里自研Qoder 开展开发工作，单周外部模型调用开销可达数百美元。 此次一刀切禁用Claude，导火索源于Anthropic向美国监管机构提交的指控文件。 6月24日有消息披露，Anthropic于6月10日致函美国参议院银行委员会，声称4月22日至6月5日期间，阿里通过约 2.5 万个虚假账号，累计与Claude产生超2800万次交互，并单方面将该行为定义为 "工业级模型蒸馏攻击"，甚至拔高至国家安全相关层面。 针对该指控，Anthropic同步收紧全球账号风控规则。值得注意的是，这并非该企业首次针对国内AI企业提出同类指控。 早在今年2月，Anthropic就发布公开声明，以近乎一致的说辞，指控 DeepSeek、月之暗面、MiniMax 三家国内AI实验室对Claude实施大规模模型蒸馏。
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[]( Product Get Started Intelligence You Control Giotto is a portable AI model and operating system for serious work. Use it in the cloud, download it to your infrastructure, or buy Giotto-ready hardware. Sovereign Portable Performant Integrated Video 1 AI access should not depend on someone else’s platform Giotto is the next generation portable reasoning model and AI operating system for intelligence you control. Built to enable agentic reasoning on a single GPU, it can run on the infrastructure of your choice. Sovereign Choose where Giotto runs and how data is handled across environments. Portable Use Giotto in the cloud, download it privately or deploy on Giotto-ready hardware. Performant The smartest single-GPU model. Built for advanced reasoning and effective deployment. Integrated Assistant, documents, code, integrations, agents
[]( Product Get Started Intelligence You Control Giotto is a portable AI model and operating system for serious work. Use it in the cloud, download it to your infrastructure, or buy Giotto-ready hardware. Sovereign Portable Performant Integrated Video 1 AI access should not depend on someone else’s platform Giotto is the next generation portable reasoning model and AI operating system for intelligence you control. Built to enable agentic reasoning on a single GPU, it can run on the infrastructure of your choice. Sovereign Choose where Giotto runs and how data is handled across environments. Portable Use Giotto in the cloud, download it privately or deploy on Giotto-ready hardware. Performant The smartest single-GPU model. Built for advanced reasoning and effective deployment. Integrated Assistant, documents, code, integrations, agents
, and monitoring in one connected layer. Run Anywhere Dedicated cloud, private deployment, or certified Giotto hardware: the same Giotto system, deployed wherever you want. ! : Sketch-style interface of Giotto OS assistant with chat history, apps menu, and cloud background. Cloud Access Use Giotto Get a dedicated Giotto environment hosted in Europe, with private GPUs, unlimited team access and API calls included. Dedicated EU cloud Unlimited team members Managed setup and updates Fast start and easy to scale Use Giotto → ! : Data center room with server racks and a desk featuring multiple monitors displaying system status and charts. Private deployment Download Giotto Download the Giotto model, run it on your GPUs and keep workflows, data and operations in your environment. Run on private GPUs Keep data under your control Suitable for technical and regulated teams Designed for sovereign deployment Download Giotto → ! : Sketch of server tower, rack unit, and monitor displaying system overview and stats. Certified Appliance Buy Giotto Buy Giotto-ready workstations or enterprise servers with the model, software stack and support path aligned for production use. Workstation and server options Giotto preinstalled Support, onboarding and updates Designed for long-term ownership Buy Giotto → Choose your deployment method Run Giotto where it makes the most sense for you: cloud access for immediate use, private deployment for controlled environments, or certified appliance for long-term infrastructure control. Cloud access Use Giotto Private deployment Download Giotto Certified Appliance Buy Giotto Infrastructure ownership Giotto (dedicated to customer) Customer Customer (Giotto hardware) Deployment speed Days Days Weeks (hardware lead) Data residency CH / EU partner DCs Customer premises Customer premises Operational control Shared Full Full Hardware procurement Giotto Customer Giotto Managed support Included Optional Optional Best for Pilots & early production On-premise deployments on existing infra Building ownership from scratch Start with Giotto for free Giotto Open is a free shared cloud workspace for discovering Giotto. Access the assistant, upload documents, explore code support, use the API, and experiment with agents. Giotto Open Hosted in Europe. Free. For everyone. Access to Giotto Personal AI Assistant Document upload and analysis Code assistance Agents and integrations API use Start now ! : Screenshot of a coding environment showing Python code analyzing the Iris dataset with logistic regression. Your AI Operating System Giotto combines a reasoning model with the operating system around it: assistant, documents, code, integrations, agents and visibility into the infrastructure that powers the work. ! : Interface of Giotto Assistant showing sections for reasoning, plan, tools, memory, and a chat input box. Assistant Ask questions, plan work, use tools, and keep context across your day. ! : Stack of documents including a Q2 Research Report, charts, and a note on increased resilience across regions. Documents Summarize, compare, extract insights, and turn files into reusable knowledge. ! : Dark-themed code editor screen showing Python code, variable watch, terminal output, and flowchart diagrams. Code Write, inspect, debug, and reason about code in a practical development workflow. ! : Diagram of Giotto integrating with enterprise business tools. Integrations Connect email, calendar, team tools, and business systems into one
operating layer. ! : Flowchart showing Trigger linked to Research, Analysis, Validation Agents, leading to Synthesis Agent and Output. Agents Create task-specific agents for research, operations, analysis, and repeatable workflows. ! : Sketch of server racks, cloud, world map, and infrastructure overview dashboard with uptime and alerts. Monitoring See where workloads run, which systems are used, and how infrastructure performs. Technology Advanced systems, designed to run efficiently. Giotto is built as three connected layers: the model, the operating system around the model and the deployment layer that lets it run where it makes the most sense. Model Advanced reasoning designed with deployability in mind, not only leaderboard presentation. Operating system Assistant, documents, code, integrations, agents and memory sit in one coherent workspace. Deployment layer Use Giotto in the cloud, download it on private GPUs or buy dedicated Giotto hardware. ! : Layered diagram showing Giotto model, operating system with assistants, documents, code, agents, and deployment options. The smartest model running on a single GPU Giotto 1 is a high-reasoning model built for practical deployment. This benchmark snapshot shows how the model performs across math, science and reasoning evaluations against popular models that can run on a single GPU. Giotto 1 benchmark panel This table compares Giotto 1 against popular models in the single-GPU and efficient-deployment category. Model AIME24 AIME25 AIME26 GPQA Diamond MATH-500 HLE Giotto 1 86.7 83.3 93.3 85.4 99.6 18.4 Gemma 4 31B – – 86.2 89.2 – 19.5 GPT-OSS-120B 80.4 80.0 – 73.1 97.0 8.6 NVIDIA Nemotron 3 Nano 30B-A3B – 89.1 – 75.7 98.0 10.6 DeepSeek-R1-Distill-Qwen-32B 72.6 63.0 – 62.1 94.3 – Ministral 3 14B – 30.0 – 57.2 – 4.6 About us A Swiss lab with European heart Headquartered in Lausanne, Switzerland, we work with a team of qualified professionals across Europe. Our research and product development are the result of years of collaboration between industry and academia. Work with us Open Positions * AI * AI Research Scientist Lausanne, Vaud (Hybrid) * Business Development * Business Development Associate Zurich, Zurich (Hybrid) * Business Development Manager Zurich, Zurich (Hybrid) * Engineering * Machine Learning Engineer Remote * Senior Software Engineer Remote * Product * LLM Architect Remote * Machine Learning Engineer Remote * Spontaneous Application – Engineering Talent (Future Opportunities) Remote Powered by Management Led by an experienced and visionary team. ! : Aldo Podestà - CEO of Giotto Aldo Podestà []( CEO ! : Matteo Caorsi - CTO of Giotto Matteo Caorsi []( CTO ! : Francesco Palma - COO of Giotto Francesco Palma []( COO ! : Wallyson Lemes de Oliveira - CAIO of Giotto Wallyson Lemes de Oliveira []( CAIO Start with Giotto Use it in the cloud, download it privately, or buy Giotto-ready hardware. Get Started Today ! : ISO certification badge Cert No. 12536-ISMS-001 ISO/IEC 27001:2022 © 2026 SA - All rights reserved Privacy Policy Headquarter Place de la Gare 4 1003 Lausanne - Switzerland VAT: CHE‑300.132.471 Social &Contacts business@ mailto:business@ ?subject=Let's%20innovate%20togetherhr@ mailto:hr@ ?subject=Let's%20innovate%20together