Loading video...

Video Failed to Load

Go Home

Parallel Web Systems emerges from stealth. The mission stunned Silicon Valley: "We're building infrastructure for the web's second user: AI agents." Not chatbots. Not language models. Something nobody had attempted:

thefernandocz's profile picture

Fernando Cao

104,120 subscribers

389,468 views • 11 months ago •via X (Twitter)

Science & Technology
LIVE

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Today, we’re launching the Parallel Search API, the most accurate web search for AI agents, built using our proprietary web index and retrieval infrastructure. Traditional search ranks URLs for humans to click. AI search needs something different: the right tokens in their context window. Parallel’s Search API is built from the ground up for AI agents, resulting in higher accuracy, lower costs, and lower latency for end-to-end agentic workflows.
1:20

Today, we’re launching the Parallel Search API, the most accurate web search for AI agents, built using our proprietary web index and retrieval infrastructure. Traditional search ranks URLs for humans to click. AI search needs something different: the right tokens in their context window. Parallel’s Search API is built from the ground up for AI agents, resulting in higher accuracy, lower costs, and lower latency for end-to-end agentic workflows.

Parallel Web Systems

669,725 views • 8 months ago

Everyone's spinning up 50 agents in parallel. The engineer who built Droid Missions told me the opposite: if you can't produce something large and correct with one, adding more just makes it worse. Parallelization is for gathering live info, not building systems.
0:53

Everyone's spinning up 50 agents in parallel. The engineer who built Droid Missions told me the opposite: if you can't produce something large and correct with one, adding more just makes it worse. Parallelization is for gathering live info, not building systems.

Ray Fernando

24,555 views • 4 months ago

AI agents are starting to take real actions in the world. What does the infrastructure underneath them need to look like? 💻 Stephen from Metaplex & Aadil from Solana Foundation on building systems where value flows to the edges of the network, not the middle.
1:26

AI agents are starting to take real actions in the world. What does the infrastructure underneath them need to look like? 💻 Stephen from Metaplex & Aadil from Solana Foundation on building systems where value flows to the edges of the network, not the middle.

Funding the Commons

19,289 views • 2 months ago

Infrastructure for Multi-Agent Systems Pete Koomen Multi-agent systems are powerful but hard to build. Think agentic MapReduce with thousands of subagents running in parallel. We're looking for folks who've felt the pain of scaling these systems and want to make operating fleets of agents as easy as deploying a web service.
0:59

Infrastructure for Multi-Agent Systems Pete Koomen Multi-agent systems are powerful but hard to build. Think agentic MapReduce with thousands of subagents running in parallel. We're looking for folks who've felt the pain of scaling these systems and want to make operating fleets of agents as easy as deploying a web service.

Y Combinator

11,506 views • 1 year ago

Palantir CEO says silicon valley is the reason America is losing. here’s the TLDR: >silicon valley owes america a debt. it spent 20 years building photo apps when it should have been building weapons. >the next era of deterrence runs on AI, not nukes. our adversaries are not waiting for us to figure it out. now the question is who builds it first and what they build it for.
2:21

Palantir CEO says silicon valley is the reason America is losing. here’s the TLDR: >silicon valley owes america a debt. it spent 20 years building photo apps when it should have been building weapons. >the next era of deterrence runs on AI, not nukes. our adversaries are not waiting for us to figure it out. now the question is who builds it first and what they build it for.

Damian Player

44,074 views • 3 months ago

Since our 1999 investment in Google, Kleiner Perkins has long partnered with teams building the web’s core infrastructure. Today, we are co-leading Parallel’s $100M Series A with Index Ventures. Founded by Parag Agrawal, Parallel Web Systems is building the web for agents. The platform provides a native search API and index that can retrieve, organize, and rank tokens—not blue links—so AI systems can access and reason over accurate, current context. As part of the round, Mamoon Hamid will join Parallel’s board. As Parag Agrawal puts it: “Agents aren’t issuing keywords. They declare intent and receive high-signal tokens.” Watch Mamoon’s conversation with Parag ⬇️
3:08

Since our 1999 investment in Google, Kleiner Perkins has long partnered with teams building the web’s core infrastructure. Today, we are co-leading Parallel’s $100M Series A with Index Ventures. Founded by Parag Agrawal, Parallel Web Systems is building the web for agents. The platform provides a native search API and index that can retrieve, organize, and rank tokens—not blue links—so AI systems can access and reason over accurate, current context. As part of the round, Mamoon Hamid will join Parallel’s board. As Parag Agrawal puts it: “Agents aren’t issuing keywords. They declare intent and receive high-signal tokens.” Watch Mamoon’s conversation with Parag ⬇️

Kleiner Perkins

44,860 views • 8 months ago

For years we’ve been told: “India can’t build deep tech.” “We do services. Not systems.” “Real AI is built in Silicon Valley.” Today, that narrative dies. We just launched SuperOS — the world’s first AI Operating System that is already running the hospital. Not assist. Not generate notes. Not make PowerPoints. Run. The. Hospital. Thread. 🧵
1:36

For years we’ve been told: “India can’t build deep tech.” “We do services. Not systems.” “Real AI is built in Silicon Valley.” Today, that narrative dies. We just launched SuperOS — the world’s first AI Operating System that is already running the hospital. Not assist. Not generate notes. Not make PowerPoints. Run. The. Hospital. Thread. 🧵

Varun Dubey

188,121 views • 5 months ago

.Aaron Levie says AI agents may take years to diffuse from engineering into the rest of knowledge work. "The models are really good at code, and the work is verifiable." "You have 5 or 10 things that make agents work in an enterprise context for engineering." "The users are less technical, the data is much more fragmented, the systems are much more legacy." "That's why it's going to be a number of years for this diffusion to roll from what we're seeing in Silicon Valley, into the rest of knowledge work."
1:27

.Aaron Levie says AI agents may take years to diffuse from engineering into the rest of knowledge work. "The models are really good at code, and the work is verifiable." "You have 5 or 10 things that make agents work in an enterprise context for engineering." "The users are less technical, the data is much more fragmented, the systems are much more legacy." "That's why it's going to be a number of years for this diffusion to roll from what we're seeing in Silicon Valley, into the rest of knowledge work."

MTS

13,046 views • 3 months ago

User activity is becoming part of the Orkestri AI experience. From exploring agents to checking performance and earning points through platform interaction, OKAI is building around real usage — not just ideas. AI agents are becoming productive digital workers. #OKAI
0:29

User activity is becoming part of the Orkestri AI experience. From exploring agents to checking performance and earning points through platform interaction, OKAI is building around real usage — not just ideas. AI agents are becoming productive digital workers. #OKAI

OKAI Official

12,533 views • 2 months ago

B2A: Business-to-Agent Dalton Caldwell Not b2b, not b2c, but b2a: Business-to-agent. We are looking for startups that are building products where AI agents are the intended customer. Make something agents want.
1:02

B2A: Business-to-Agent Dalton Caldwell Not b2b, not b2c, but b2a: Business-to-agent. We are looking for startups that are building products where AI agents are the intended customer. Make something agents want.

Y Combinator

143,119 views • 1 year ago

Top announcement from the Developer Keynote: Gemini Enterprise Agent Platform—a unified dev ecosystem for building production-ready AI agents and infrastructure. What's that mean? Access to 200+ models, including Gemini and Gemma 4 + open source models →
0:47

Top announcement from the Developer Keynote: Gemini Enterprise Agent Platform—a unified dev ecosystem for building production-ready AI agents and infrastructure. What's that mean? Access to 200+ models, including Gemini and Gemma 4 + open source models →

Google Cloud Tech

16,489 views • 3 months ago

New Website, Same Vision ⚔️ We're building the onchain arena where AI agents compete, improve, and earn rewards for real results. Trust agents by what they've done, not what they claim. Explore now 👉 👈
0:23

New Website, Same Vision ⚔️ We're building the onchain arena where AI agents compete, improve, and earn rewards for real results. Trust agents by what they've done, not what they claim. Explore now 👉 👈

Recall

18,672 views • 1 year ago

some advice for designing tools in the age of ai: 1. embrace ambiguity — ai tools work best when you're comfortable with not having full control. leave room for emergence and surprise. 2. focus on the human-ai collaboration model — design the interaction patterns, not just the outputs. what's the back-and-forth like? how do humans guide the ai? 3. design for iteration, not perfection — ai outputs are rarely perfect the first time. design systems that make refinement natural and easy. 4. think in systems, not features — ai changes fast, so build adaptable foundations rather than specific implementations that will break. 5. protect against the uncanny valley — either make it obviously ai-generated or indistinguishable from human work. the middle ground feels weird. 6. consider the invisible costs — ai has computational, environmental, and social costs that aren't immediately visible but matter. 7. design for augmentation, not replacement — the best ai tools make humans more capable rather than trying to replace them. 8. build in feedback loops — systems that learn from user interactions get better over time. the thing is, we're all figuring this out together. the design patterns for ai are still being invented. it's like the early web days — exciting, messy, and full of possibilities.
1:25

some advice for designing tools in the age of ai: 1. embrace ambiguity — ai tools work best when you're comfortable with not having full control. leave room for emergence and surprise. 2. focus on the human-ai collaboration model — design the interaction patterns, not just the outputs. what's the back-and-forth like? how do humans guide the ai? 3. design for iteration, not perfection — ai outputs are rarely perfect the first time. design systems that make refinement natural and easy. 4. think in systems, not features — ai changes fast, so build adaptable foundations rather than specific implementations that will break. 5. protect against the uncanny valley — either make it obviously ai-generated or indistinguishable from human work. the middle ground feels weird. 6. consider the invisible costs — ai has computational, environmental, and social costs that aren't immediately visible but matter. 7. design for augmentation, not replacement — the best ai tools make humans more capable rather than trying to replace them. 8. build in feedback loops — systems that learn from user interactions get better over time. the thing is, we're all figuring this out together. the design patterns for ai are still being invented. it's like the early web days — exciting, messy, and full of possibilities.

Ryo Lu

30,781 views • 1 year ago

Sequoia’s Shaun Maguire says Silicon Valley is undergoing a "Copernican" shift and waking up to the fact that it revolves around a set of much larger industries, not the other way around: "In Silicon Valley, [there's] almost this Copernican principle — where people used to believe that the world revolved around the Earth, then realized that it revolves around the sun." "There's a Silicon Valley parallel where people think that all of technology, all of industry, revolves around Silicon Valley, but it's actually kind of the opposite." "Silicon Valley is Earth, and there are these much bigger forces and bodies, which include energy, the chemical industry, these giant supply chains, and the semiconductor industry, which has been around for a very long time. It was pretty advanced, and people in Silicon Valley forgot about it." "I don't like the language of other industries pivoting into AI. I actually think it's the opposite." "I think it's like Silicon Valley is waking up from its toddlerhood and realizing that there were these giant industries that we underestimated, and they're actually really freaking good at what they do. And we can all benefit by working together."
2:17

Sequoia’s Shaun Maguire says Silicon Valley is undergoing a "Copernican" shift and waking up to the fact that it revolves around a set of much larger industries, not the other way around: "In Silicon Valley, [there's] almost this Copernican principle — where people used to believe that the world revolved around the Earth, then realized that it revolves around the sun." "There's a Silicon Valley parallel where people think that all of technology, all of industry, revolves around Silicon Valley, but it's actually kind of the opposite." "Silicon Valley is Earth, and there are these much bigger forces and bodies, which include energy, the chemical industry, these giant supply chains, and the semiconductor industry, which has been around for a very long time. It was pretty advanced, and people in Silicon Valley forgot about it." "I don't like the language of other industries pivoting into AI. I actually think it's the opposite." "I think it's like Silicon Valley is waking up from its toddlerhood and realizing that there were these giant industries that we underestimated, and they're actually really freaking good at what they do. And we can all benefit by working together."

TBPN

238,386 views • 4 months ago

"Bitcoin eventually destroys the state." Max Keiser & Stacy Herbert 🇸🇻🚀 join to discuss: 🔸 El Salvador's leap from BTC to sovereign AI 🔸 Building the new Florence, not Silicon Valley 🔸 Yen carry unwind & why BTC is coiled to explode Full Video:
0:53

"Bitcoin eventually destroys the state." Max Keiser & Stacy Herbert 🇸🇻🚀 join to discuss: 🔸 El Salvador's leap from BTC to sovereign AI 🔸 Building the new Florence, not Silicon Valley 🔸 Yen carry unwind & why BTC is coiled to explode Full Video:

Bitcoin News

33,158 views • 2 months ago

New Professionally Curious 🧠 w/ Joanna Zeng @ SOON (🔴,💊)📍🇺🇸🗽 (Mainnet Arc) + Michael Heinrich (Ø,G), Founder & CEO of 0G Labs (Home of Infinite AI) From the 2016 ICO boom → launching 0G → building decentralized AI, Michael shares what it takes to scale high-performance systems, navigate post-TGE leadership, and turn AI into a public good through modular blockchain design. SOON takeaway: The future of high-performance crypto isn’t just speed — it’s interoperability and trust. Like 0G, SOON is building the infrastructure where AI, blockchain, and user experience converge to power the next wave of decentralized systems. Key Highlights: • Michael’s journey from early crypto to founding 0G • How modular blockchains unlock scalable decentralized AI • Collaboration across ecosystems drives innovation • Privacy layers as the foundation for trustworthy AI agents • TGE as a starting point — not the finish line • Long-term building in the era of AI + crypto convergence ⏱️ Timestamps 00:00 Michael’s crypto journey 05:25 Founding 0G 10:31 Building modular AI infrastructure 13:35 Collaborating with the Solana ecosystem 17:52 Life and leadership post-TGE 24:51 Future priorities & ecosystem growth 28:38 Privacy layers & AI agents 31:00 Building for the long term Listen to the full episode below 👇
31:37

New Professionally Curious 🧠 w/ Joanna Zeng @ SOON (🔴,💊)📍🇺🇸🗽 (Mainnet Arc) + Michael Heinrich (Ø,G), Founder & CEO of 0G Labs (Home of Infinite AI) From the 2016 ICO boom → launching 0G → building decentralized AI, Michael shares what it takes to scale high-performance systems, navigate post-TGE leadership, and turn AI into a public good through modular blockchain design. SOON takeaway: The future of high-performance crypto isn’t just speed — it’s interoperability and trust. Like 0G, SOON is building the infrastructure where AI, blockchain, and user experience converge to power the next wave of decentralized systems. Key Highlights: • Michael’s journey from early crypto to founding 0G • How modular blockchains unlock scalable decentralized AI • Collaboration across ecosystems drives innovation • Privacy layers as the foundation for trustworthy AI agents • TGE as a starting point — not the finish line • Long-term building in the era of AI + crypto convergence ⏱️ Timestamps 00:00 Michael’s crypto journey 05:25 Founding 0G 10:31 Building modular AI infrastructure 13:35 Collaborating with the Solana ecosystem 17:52 Life and leadership post-TGE 24:51 Future priorities & ecosystem growth 28:38 Privacy layers & AI agents 31:00 Building for the long term Listen to the full episode below 👇

SOON - Solana Optimistic Network (Mainnet Arc)

70,794 views • 8 months ago

Following rapid growth, a $100M Series B, and a slate of new launches, I sat down with Parallel co-founder Travers. Parallel Web Systems is building core search infrastructure for the agentic web: systems that enable AI to retrieve, structure, and reason over information across the internet with speed, accuracy, and reliability. I joined Travers at Parallel’s new Palo Alto office for a wide-ranging conversation on: > The pace going from launch last August to becoming critical infrastructure powering production workflows at companies like Notion, Harvey, Granola, and more. > Why Parallel sees the future of search as far beyond “ten blue links,” toward systems built for retrieval, reasoning, monitoring, and computation. > The changing nature of the web itself: its economics, openness, and what happens as agents become primary users. > The artistry and legacy of internet history shaping the company: Olivetti typewriters, Douglas Hofstadler, Lloyd Shapley, Christo & Jeanne-Claude, Google’s Search Box, and how it inspired programs like the Museum of the Human Web. This is an extensive and wide ranging look into one of the most interesting sectors of the agentic web. We Terrain feel lucky to have worked with Travers and the team since the start just two years ago. So much to do.
25:45

Following rapid growth, a $100M Series B, and a slate of new launches, I sat down with Parallel co-founder Travers. Parallel Web Systems is building core search infrastructure for the agentic web: systems that enable AI to retrieve, structure, and reason over information across the internet with speed, accuracy, and reliability. I joined Travers at Parallel’s new Palo Alto office for a wide-ranging conversation on: > The pace going from launch last August to becoming critical infrastructure powering production workflows at companies like Notion, Harvey, Granola, and more. > Why Parallel sees the future of search as far beyond “ten blue links,” toward systems built for retrieval, reasoning, monitoring, and computation. > The changing nature of the web itself: its economics, openness, and what happens as agents become primary users. > The artistry and legacy of internet history shaping the company: Olivetti typewriters, Douglas Hofstadler, Lloyd Shapley, Christo & Jeanne-Claude, Google’s Search Box, and how it inspired programs like the Museum of the Human Web. This is an extensive and wide ranging look into one of the most interesting sectors of the agentic web. We Terrain feel lucky to have worked with Travers and the team since the start just two years ago. So much to do.

Willem

53,572 views • 2 months ago