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Introducing Scale Network - The Operating System for the AI World Scale Network, based in Switzerland and the United States, is building a full-stack enterprise AI and data platform that transforms fragmented organizational data into secure, actionable intelligence connecting the complete journey from Data → Intelligence → Action. Our...

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Scale Network

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16,899 просмотров • 11 дней назад •via X (Twitter)

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Mansa AI is an enterprise-grade AI + Web3 platform designed to move artificial intelligence from experimentation into real-world execution. Built for creators, developers, and businesses, it focuses on deploying AI that actually works across modern digital systems, not just in isolated demos. 🚀 Production-ready AI infrastructure Mansa AI enables teams to deploy AI systems designed for live environments, handling real workflows, real data, and real operational demands without constant manual oversight. 🧠 Autonomous AI agents At its core, Mansa AI allows users to build autonomous agents that automate decision-making, coordinate tasks, monitor live signals, and execute complex workflows across dynamic environments. ⚙️ Fully customizable logic Agents can be configured with custom behaviors, triggers, and responses. From content generation and analytics to operational automation and intelligent orchestration, logic adapts to specific business strategies. 🔗 Web3 and off-chain integration Mansa AI bridges blockchain ecosystems with traditional systems, enabling cross-chain coordination, smart contract interactions, and seamless integration with existing enterprise infrastructure. 📊 Real-world use cases The platform supports automation for operations, customer engagement, analytics, data pipelines, content workflows, and AI-driven optimization across products and teams. 📈 Built for scale Whether launching as a startup or deploying across enterprise systems, Mansa AI is designed to scale AI operations without adding complexity or fragmentation. Mansa AI transforms artificial intelligence into deployable infrastructure. By combining autonomy, customization, interoperability, and scalability, it enables teams to own, operate, and grow intelligent systems that deliver real value in production environments.
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Mansa AI is an enterprise-grade AI + Web3 platform designed to move artificial intelligence from experimentation into real-world execution. Built for creators, developers, and businesses, it focuses on deploying AI that actually works across modern digital systems, not just in isolated demos. 🚀 Production-ready AI infrastructure Mansa AI enables teams to deploy AI systems designed for live environments, handling real workflows, real data, and real operational demands without constant manual oversight. 🧠 Autonomous AI agents At its core, Mansa AI allows users to build autonomous agents that automate decision-making, coordinate tasks, monitor live signals, and execute complex workflows across dynamic environments. ⚙️ Fully customizable logic Agents can be configured with custom behaviors, triggers, and responses. From content generation and analytics to operational automation and intelligent orchestration, logic adapts to specific business strategies. 🔗 Web3 and off-chain integration Mansa AI bridges blockchain ecosystems with traditional systems, enabling cross-chain coordination, smart contract interactions, and seamless integration with existing enterprise infrastructure. 📊 Real-world use cases The platform supports automation for operations, customer engagement, analytics, data pipelines, content workflows, and AI-driven optimization across products and teams. 📈 Built for scale Whether launching as a startup or deploying across enterprise systems, Mansa AI is designed to scale AI operations without adding complexity or fragmentation. Mansa AI transforms artificial intelligence into deployable infrastructure. By combining autonomy, customization, interoperability, and scalability, it enables teams to own, operate, and grow intelligent systems that deliver real value in production environments.

King

155,637 просмотров • 8 месяцев назад

📣 We are collaborating with the Naval Postgraduate School to empower thousands of students to work and build applications with AI. Hear from Todd Lyons, EVP at the NPS Foundation & Alumni Association, on how #NVIDIADGX and NVIDIA Omniverse are helping to create synthetic data, train tailored foundational models, and deploy solutions at scale for the public sector.
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📣 We are collaborating with the Naval Postgraduate School to empower thousands of students to work and build applications with AI. Hear from Todd Lyons, EVP at the NPS Foundation & Alumni Association, on how #NVIDIADGX and NVIDIA Omniverse are helping to create synthetic data, train tailored foundational models, and deploy solutions at scale for the public sector.

NVIDIA

59,320 просмотров • 2 месяцев назад

AI has solved software. Biology is the next frontier. We're hiring across every team at Adaptyv. We’ve built the best automated lab for protein designers to experimentally test their AI-designed proteins. Today, the most advanced protein design companies run their wet-lab work on Adaptyv, from the biggest biopharmas to frontier AI labs to dozens of virtual biotech startups. Demand has grown faster than we have, so we’re hiring across the board: • Bio: Research associates, scientists and lab technicians to develop and run new assays at scale. • Lab automation: Engineers and interns to onboard new lab instruments and scale our automation infrastructure. • Software: Product and backend engineers to scale LabOS, our internal lab orchestration platform, our API for agents and the data pipelines that turn messy physical-world data into clean results. • Partnerships, customer success and operations: Building partnerships with AI & pharma labs, making sure customers understand their data and can run more campaigns, making sure the company operations run smoothly
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AI has solved software. Biology is the next frontier. We're hiring across every team at Adaptyv. We’ve built the best automated lab for protein designers to experimentally test their AI-designed proteins. Today, the most advanced protein design companies run their wet-lab work on Adaptyv, from the biggest biopharmas to frontier AI labs to dozens of virtual biotech startups. Demand has grown faster than we have, so we’re hiring across the board: • Bio: Research associates, scientists and lab technicians to develop and run new assays at scale. • Lab automation: Engineers and interns to onboard new lab instruments and scale our automation infrastructure. • Software: Product and backend engineers to scale LabOS, our internal lab orchestration platform, our API for agents and the data pipelines that turn messy physical-world data into clean results. • Partnerships, customer success and operations: Building partnerships with AI & pharma labs, making sure customers understand their data and can run more campaigns, making sure the company operations run smoothly

Adaptyv Bio

13,670 просмотров • 2 месяцев назад

And this just in ... Snowflake and Anthropic are expanding our work across Snowflake Cortex AI – with Claude powering Snowflake Cortex Code and Snowflake Intelligence – as well as Claude Marketplace. 🚀 As more organizations use Anthropic Claude models directly inside Snowflake, demand continues to grow for governed, production-ready AI that delivers the security, observability, and scale enterprises require. Together, Snowflake and Anthropic are helping accelerate enterprise AI adoption and build the foundation for the agentic enterprise. See how we’re building it together, and how customers are using Snowflake and Anthropic to power real-world AI use cases across their organizations:
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And this just in ... Snowflake and Anthropic are expanding our work across Snowflake Cortex AI – with Claude powering Snowflake Cortex Code and Snowflake Intelligence – as well as Claude Marketplace. 🚀 As more organizations use Anthropic Claude models directly inside Snowflake, demand continues to grow for governed, production-ready AI that delivers the security, observability, and scale enterprises require. Together, Snowflake and Anthropic are helping accelerate enterprise AI adoption and build the foundation for the agentic enterprise. See how we’re building it together, and how customers are using Snowflake and Anthropic to power real-world AI use cases across their organizations:

Snowflake

11,191 просмотров • 3 месяцев назад

Today we're launching Hebbian Robotics (YC S26) Hebbian Robotics (YC S26) . We build APIs for evaluating data quality, without training a robotics model. Data vendors use our API to search and analyze Physical AI data at scale, getting on-demand quality signals and metrics without managing infrastructure. High-quality data is the bottleneck to the next frontier of intelligence in robotics. Buyers want data they can trust. Data providers are focused on operational excellence. They don't have the bandwidth to understand the quality of their data at scale. We're fixing this. Vendors use our APIs to understand the impact of their decisions on their data quality: - Buyers demanding per-collector hour limits? Prove compliance while we stay ahead of the workarounds. - Changed your collection SOPs? Monitor for quality drift and regression. - Suspect duplicate samples? Verify with a single API call. Before Hebbian, I trained AI models for industrial cleaning robots, and kingston kuan spent years building large-scale infrastructure at Jane Street.
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Today we're launching Hebbian Robotics (YC S26) Hebbian Robotics (YC S26) . We build APIs for evaluating data quality, without training a robotics model. Data vendors use our API to search and analyze Physical AI data at scale, getting on-demand quality signals and metrics without managing infrastructure. High-quality data is the bottleneck to the next frontier of intelligence in robotics. Buyers want data they can trust. Data providers are focused on operational excellence. They don't have the bandwidth to understand the quality of their data at scale. We're fixing this. Vendors use our APIs to understand the impact of their decisions on their data quality: - Buyers demanding per-collector hour limits? Prove compliance while we stay ahead of the workarounds. - Changed your collection SOPs? Monitor for quality drift and regression. - Suspect duplicate samples? Verify with a single API call. Before Hebbian, I trained AI models for industrial cleaning robots, and kingston kuan spent years building large-scale infrastructure at Jane Street.

Brandon Ong

165,737 просмотров • 22 дней назад

The pilot phase of enterprise AI is ending. What separates the organizations that scale from those that stall is infrastructure, data readiness, and governance built before models are ever deployed. Patrick Moorhead and Daniel Newman sit down with Varun Chhabra of Dell Technologies and Jason Schroedl of NVIDIA at Dell Technologies World 2026 to break down new approaches to agentic AI deployment, investments in data readiness, and how enterprises can expand AI capabilities while maintaining control over security, costs and operations.
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The pilot phase of enterprise AI is ending. What separates the organizations that scale from those that stall is infrastructure, data readiness, and governance built before models are ever deployed. Patrick Moorhead and Daniel Newman sit down with Varun Chhabra of Dell Technologies and Jason Schroedl of NVIDIA at Dell Technologies World 2026 to break down new approaches to agentic AI deployment, investments in data readiness, and how enterprises can expand AI capabilities while maintaining control over security, costs and operations.

Six Five Media

148,133 просмотров • 2 месяцев назад

$HASHAI is Ahead of the Curve ✅ Today’s Amazon Web Services outage highlights the advantage of truly decentralised, reliable infrastructure. 🔹Hash AI’s Node network is purpose-built for real-world, high-performance computing, built on Ethereum. From training and deploying AI models to executing complex data processing and ETL workflows. 🔹Experience lower costs, higher reliability, and complete freedom from vendor lock-in with infrastructure engineered for scale, speed, and resilience. Rent now → Learn more →
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$HASHAI is Ahead of the Curve ✅ Today’s Amazon Web Services outage highlights the advantage of truly decentralised, reliable infrastructure. 🔹Hash AI’s Node network is purpose-built for real-world, high-performance computing, built on Ethereum. From training and deploying AI models to executing complex data processing and ETL workflows. 🔹Experience lower costs, higher reliability, and complete freedom from vendor lock-in with infrastructure engineered for scale, speed, and resilience. Rent now → Learn more →

Hash AI

17,248 просмотров • 10 месяцев назад

Is your AI infrastructure ready for the agentic era? At Cisco Live, I connected with Gordon Macintosh and Dale Tucker from Equinix, Inc. to explore how the Secure AI Factory ecosystem is building the physical and interconnection foundations that make agentic AI at scale possible. Three thing leaders are still overlooking: → Distributed infrastructure. Production AI = multiple agents, tools, data sources, and policies → Data gravity is real. Sovereignty, regulation, and sensitivity shape where AI can run. → Last mile connectivity is where strategies stall. Secure, predictable, low-latency connections aren't optional at production scale. The Cisco + NVIDIA + Equinix, Inc. reference architecture is one of the most concrete answers I've seen with Equinix as the neutral landing zone across 280+ data centers worldwide. As Dale put it: "Last mile connectivity is where AI strategy can either accelerate or stall." The companies that win the next phase of AI will be the ones who got the infrastructure and the ecosystem right. Watch our full conversation here: #CiscoLive #SecureAIFactory #EquinixPartner #CiscoPartner
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Is your AI infrastructure ready for the agentic era? At Cisco Live, I connected with Gordon Macintosh and Dale Tucker from Equinix, Inc. to explore how the Secure AI Factory ecosystem is building the physical and interconnection foundations that make agentic AI at scale possible. Three thing leaders are still overlooking: → Distributed infrastructure. Production AI = multiple agents, tools, data sources, and policies → Data gravity is real. Sovereignty, regulation, and sensitivity shape where AI can run. → Last mile connectivity is where strategies stall. Secure, predictable, low-latency connections aren't optional at production scale. The Cisco + NVIDIA + Equinix, Inc. reference architecture is one of the most concrete answers I've seen with Equinix as the neutral landing zone across 280+ data centers worldwide. As Dale put it: "Last mile connectivity is where AI strategy can either accelerate or stall." The companies that win the next phase of AI will be the ones who got the infrastructure and the ecosystem right. Watch our full conversation here: #CiscoLive #SecureAIFactory #EquinixPartner #CiscoPartner

Helen Yu

11,558 просмотров • 2 месяцев назад

CARV envisions a new form of evolution for Artificial General Intelligence (AGI): one driven by the aggregation, sharing, and refinement of high-quality on-chain and off-chain data. To do that, CARV is building an AI chain ecosystem to enable data sovereignty at scale: • CARV SVM Chain, an AI agentic infrastructure that extends SVM's capabilities onto Ethereum. • D.A.T.A. Framework, powered by CARV ID, delivers high-quality on-chain and off-chain data, enriched with tags and metrics, enabling AI agents to learn, share, and evolve dynamically. • CARV Labs accelerates ecosystem growth in and beyond CARV’s ecosystem, spearheading innovation in the AI agentic infrastructure enabling data sovereignty with incubation, grants, and infrastructure. You build?
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CARV envisions a new form of evolution for Artificial General Intelligence (AGI): one driven by the aggregation, sharing, and refinement of high-quality on-chain and off-chain data. To do that, CARV is building an AI chain ecosystem to enable data sovereignty at scale: • CARV SVM Chain, an AI agentic infrastructure that extends SVM's capabilities onto Ethereum. • D.A.T.A. Framework, powered by CARV ID, delivers high-quality on-chain and off-chain data, enriched with tags and metrics, enabling AI agents to learn, share, and evolve dynamically. • CARV Labs accelerates ecosystem growth in and beyond CARV’s ecosystem, spearheading innovation in the AI agentic infrastructure enabling data sovereignty with incubation, grants, and infrastructure. You build?

CARV

274,756 просмотров • 1 год назад

TARS AI was on the ground at Google Cloud Summit Nord in Düsseldorf, surrounded by builders, AI engineers, and cloud leaders. From autonomous agents to GenAI infrastructure, the takeaway was clear, the market is moving from pilots to large-scale deployment. For TARS AI, it was a sharp signal, growing demand for agent-first products and clear alignment on scaling AI systems for real-world adoption. Highlights, insights, and snapshots from the Google Cloud Summit 👇
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TARS AI was on the ground at Google Cloud Summit Nord in Düsseldorf, surrounded by builders, AI engineers, and cloud leaders. From autonomous agents to GenAI infrastructure, the takeaway was clear, the market is moving from pilots to large-scale deployment. For TARS AI, it was a sharp signal, growing demand for agent-first products and clear alignment on scaling AI systems for real-world adoption. Highlights, insights, and snapshots from the Google Cloud Summit 👇

TARS AI 🤖

161,340 просмотров • 1 год назад

Highlights of the OpenLedger journey: OpenLedger is the AI Blockchain unlocking liquidity for data, models, and agents, backed by Polychain, Balaji Srinivasan (ex-Coinbase CTO), and more. $14.7M+ in revenue from global enterprise projects and $91M+ in investment commitments secured. Worked with global enterprises like Walmart, Sony, Meta LLaMA, Viacom, and others. Built on Stanford’s data attribution research paper, enabling verifiable, fair rewards for contributors. 40+ projects, including ex-Google DeepMind teams and top DeFi builders, are building specialized AI models. 1M+ AI nodes, 25M+ transactions, and 20K+ models, real-world usage at scale.
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Highlights of the OpenLedger journey: OpenLedger is the AI Blockchain unlocking liquidity for data, models, and agents, backed by Polychain, Balaji Srinivasan (ex-Coinbase CTO), and more. $14.7M+ in revenue from global enterprise projects and $91M+ in investment commitments secured. Worked with global enterprises like Walmart, Sony, Meta LLaMA, Viacom, and others. Built on Stanford’s data attribution research paper, enabling verifiable, fair rewards for contributors. 40+ projects, including ex-Google DeepMind teams and top DeFi builders, are building specialized AI models. 1M+ AI nodes, 25M+ transactions, and 20K+ models, real-world usage at scale.

OpenLedger

739,641 просмотров • 1 год назад

AI INFRASTRUCTURE/ENERGY DEMAND STOCKS TO KEEP ON WATCH FOR 2026 Ex-CEO $GOOGL Eric Schmidt on energy demand driven by AI: "We need energy and the numbers are profound. What we need from you is energy in all forms. People are planning 10 gigawatt data centers" $IREN: owns and develops vertically integrated data centers for hyperscalers $CIFR: large power footprint, 3.4 GW pipeline for AI workloads + HPC $WULF: high capacity, low cost data center expansion across Texas and New York $NBIS: AI compute and cloud services translating energy into revenue $CLSK: America’s Bitcoin Miner transitioning to AI infrastructure with a massive power footprint across 30+ data center sites $BITF: owns and operates power sites positioned for AI workloads, yet to sign with a hyperscaler but could come this year $GLXY: multi-gigawatt data center infrastructure at scale
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AI INFRASTRUCTURE/ENERGY DEMAND STOCKS TO KEEP ON WATCH FOR 2026 Ex-CEO $GOOGL Eric Schmidt on energy demand driven by AI: "We need energy and the numbers are profound. What we need from you is energy in all forms. People are planning 10 gigawatt data centers" $IREN: owns and develops vertically integrated data centers for hyperscalers $CIFR: large power footprint, 3.4 GW pipeline for AI workloads + HPC $WULF: high capacity, low cost data center expansion across Texas and New York $NBIS: AI compute and cloud services translating energy into revenue $CLSK: America’s Bitcoin Miner transitioning to AI infrastructure with a massive power footprint across 30+ data center sites $BITF: owns and operates power sites positioned for AI workloads, yet to sign with a hyperscaler but could come this year $GLXY: multi-gigawatt data center infrastructure at scale

Small Cap Snipa

116,034 просмотров • 7 месяцев назад

Introducing PulseAI, where your data is your knowledge. PulseAI Platform is an agent-to-silicon AI infrastructure platform built to keep your data secure and sovereign, enabling the next AI enterprise. Offered in form factors for every stage of enterprise AI, PulseAI enables enterprise from initial pilot to hyperscale. Combining Gruve's AI-native services with NVIDIA-powered GPU architectures, it scales from 16 RTX 6000 PRO to 2,048 B300 GPUs, with security, storage, and compute integrated. The next enterprise is built on its own data and intelligence. We are here to enable it. Book your consultation: Read more on PulseAI from our Chief AI & Technology Officer Matt Robinson:
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Introducing PulseAI, where your data is your knowledge. PulseAI Platform is an agent-to-silicon AI infrastructure platform built to keep your data secure and sovereign, enabling the next AI enterprise. Offered in form factors for every stage of enterprise AI, PulseAI enables enterprise from initial pilot to hyperscale. Combining Gruve's AI-native services with NVIDIA-powered GPU architectures, it scales from 16 RTX 6000 PRO to 2,048 B300 GPUs, with security, storage, and compute integrated. The next enterprise is built on its own data and intelligence. We are here to enable it. Book your consultation: Read more on PulseAI from our Chief AI & Technology Officer Matt Robinson:

Gruve

66,180 просмотров • 3 месяцев назад

Shaping the future of AI—responsibly and at scale. Meet Prof. Krishna Pillutla, Assistant Professor at the Wadhwani School of Data Science and AI, IIT Madras, whose research advances privacy-preserving and robust machine learning in the era of generative AI. His work focuses on building trustworthy, reliable AI systems designed for real-world impact. At WSAI, innovation goes beyond the lab. With cutting-edge academic programmes, interdisciplinary research centres, and industry collaborations, the school is driving AI breakthroughs while preparing the next generation of data scientists and AI leaders—firmly placing India on the global AI map. 🎥 Watch as he takes you inside WSAI and shares why this is a defining moment for Data Science and AI at IIT Madras. IIT Madras Wadhwani School of Data Science & AI (WSAI), IITM
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Shaping the future of AI—responsibly and at scale. Meet Prof. Krishna Pillutla, Assistant Professor at the Wadhwani School of Data Science and AI, IIT Madras, whose research advances privacy-preserving and robust machine learning in the era of generative AI. His work focuses on building trustworthy, reliable AI systems designed for real-world impact. At WSAI, innovation goes beyond the lab. With cutting-edge academic programmes, interdisciplinary research centres, and industry collaborations, the school is driving AI breakthroughs while preparing the next generation of data scientists and AI leaders—firmly placing India on the global AI map. 🎥 Watch as he takes you inside WSAI and shares why this is a defining moment for Data Science and AI at IIT Madras. IIT Madras Wadhwani School of Data Science & AI (WSAI), IITM

IIT Madras

26,269 просмотров • 5 месяцев назад

The biggest driver of AI compute now is real-world deployment. At NVIDIA GTC, IREN's Kent Draper, alongside Lenovo's Vlad Rozanovich, shared what they’re actually seeing on the ground from AI infrastructure demand, and the signal is coming from enterprise use. He pointed to agents, internal enterprise models, and real-world deployments as the workloads now driving demand, and explained that the challenge isn't finding customers, it’s how quickly they can build capacity to keep up. Their strategy? A vertically integrated model focused entirely on power-dense computing, which allows them to scale faster, control the environment, and deliver infrastructure purpose-built for AI rather than multi-tenant data centers trying to support dozens of different workloads.
1:06

The biggest driver of AI compute now is real-world deployment. At NVIDIA GTC, IREN's Kent Draper, alongside Lenovo's Vlad Rozanovich, shared what they’re actually seeing on the ground from AI infrastructure demand, and the signal is coming from enterprise use. He pointed to agents, internal enterprise models, and real-world deployments as the workloads now driving demand, and explained that the challenge isn't finding customers, it’s how quickly they can build capacity to keep up. Their strategy? A vertically integrated model focused entirely on power-dense computing, which allows them to scale faster, control the environment, and deliver infrastructure purpose-built for AI rather than multi-tenant data centers trying to support dozens of different workloads.

Six Five Media

7,422,478 просмотров • 5 месяцев назад

Incredible to see how Box is leveraging Salesforce to grow faster, stay closer to customers, and unlock the power of data. Excited for what’s next: Agentforce + Tableau Next = AI + CRM + real-time insights at scale. Aaron Levie is building the future of enterprise software. Welcome Tableau Next — the world’s first agentic analytics platform! You, your agent, and your app—united with Agentforce across all your data: Salesforce, Snowflake, Databricks, Amazon, Google & more. Built on an open, composable architecture powered by Data Cloud. Agents + humans, driving real insight + action. The future of the #DataFam is here. Watch the #TC25 keynote:
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Incredible to see how Box is leveraging Salesforce to grow faster, stay closer to customers, and unlock the power of data. Excited for what’s next: Agentforce + Tableau Next = AI + CRM + real-time insights at scale. Aaron Levie is building the future of enterprise software. Welcome Tableau Next — the world’s first agentic analytics platform! You, your agent, and your app—united with Agentforce across all your data: Salesforce, Snowflake, Databricks, Amazon, Google & more. Built on an open, composable architecture powered by Data Cloud. Agents + humans, driving real insight + action. The future of the #DataFam is here. Watch the #TC25 keynote:

Marc Benioff

70,016 просмотров • 1 год назад

Today we're launching Sentry—the first-of- its-kind persistent monitoring solution that can simultaneously monitor activity across hundreds of sites to deliver predictive intelligence at global scale. Sentry brings together three powerful capabilities: ✔️ Seamlessly integrate tasking feasibility and scheduling across multiple satellite constellations ✔️ Automatically fuse data from diverse sensors into a fully co-registered dataset for large-scale analysis ✔️ AI/ML models compare new data to Maxar’s 250+PB archive to detect anomalous patterns and potential threats The world moves fast. Our intelligence moves faster. See it before it happens, everywhere it matters. ➡️ #SentryByMaxar #GEOINT #PersistentMonitoring #AI #ISR
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Today we're launching Sentry—the first-of- its-kind persistent monitoring solution that can simultaneously monitor activity across hundreds of sites to deliver predictive intelligence at global scale. Sentry brings together three powerful capabilities: ✔️ Seamlessly integrate tasking feasibility and scheduling across multiple satellite constellations ✔️ Automatically fuse data from diverse sensors into a fully co-registered dataset for large-scale analysis ✔️ AI/ML models compare new data to Maxar’s 250+PB archive to detect anomalous patterns and potential threats The world moves fast. Our intelligence moves faster. See it before it happens, everywhere it matters. ➡️ #SentryByMaxar #GEOINT #PersistentMonitoring #AI #ISR

Vantor

11,407 просмотров • 1 год назад