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humans&

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uuid003vs8h

Namestring
humans&
Legal namestring
humans& ai, inc.
Websiteurl
humansand.ai
Company typeenum
Private
Founded yearint
2025
Descriptiontext

humans& (legal entity humans& ai, inc.) is a San Francisco-based, privately held frontier AI lab founded in September 2025 by alumni of xAI, Anthropic, Google DeepMind, OpenAI, Meta, Reflection, AI2, Stanford, and MIT. Co-founders include Georges Harik (Google's seventh employee), Andi Peng (former Anthropic researcher), Noah Goodman, and Eric Zelikman (co-founder and CEO). The company's stated thesis is that the next chapter of AI should center on people and their relationships, positioning its systems as "connective tissue" that strengthens organizations and communities rather than tools that displace workers.

The company is building foundation models trained with long-horizon and multi-agent reinforcement learning, memory systems, and user-understanding components, targeting social intelligence, team coordination, group decision-making, conflict resolution, and organizational alignment rather than retrieval or code generation. Its announced flagship product, AICE Agent, is designed to plan, act, and follow through on extended multi-step coordination tasks across organizations. The product has not yet shipped; first commercial release is targeted for later in 2026.

humans& is pre-revenue. There are no disclosed customers, no public pricing, and no active commercial distribution channels. The January 2026 $480M seed round at a $4.48B post-money valuation, led by SV Angel and co-founder Georges Harik with participation from NVIDIA, Jeff Bezos, GV, Emerson Collective, Forerunner, S32, DCVC, Human Capital, Liquid 2, Felicis, CRV, and others, is earmarked primarily for compute resources to train foundation models. The intended go-to-market is enterprise-focused, with plans to compete against Anthropic's Claude Cowork, Google Gemini in Workspace, and OpenAI multi-agent orchestration through direct sales and/or API access upon launch.

Short descriptiontext

humans& is a San Francisco-based frontier AI lab building foundation models for social coordination and team collaboration, targeting enterprise organizations with long-horizon, multi-agent reinforcement learning systems such as its announced AICE Agent.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersRedwood City, United States
HQ citystring
Redwood City
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
frontier AI research, human-centered AI, multi-agent collaboration, foundation models, team coordination AI
Industry3 codes
1Agents & Autonomous Workflows (Tool Use, Planning, Multi-Agent)
CodeHDAAACAFPrimaryYes
2End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management)
CodeHDAEANAAPrimaryNo
3Workplace Automation & Self-Service (RPA for IT, Chatbots, Virtual Agents)
CodeBPAEAIAIPrimaryNo
NAICS code1 code
  • Custom Computer Programming Services541511
SIC code2 codes
  • Services-Prepackaged Software7372
  • Services-Computer Integrated Systems Design7373
Product category
AI Collaboration Software
Social media profiles2 records
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1AI Collaboration Platform (planned)
TypeSubscription Recurring
Description

The company is building a foundation model for social intelligence and team coordination. As a pre-revenue company with no shipped product as of early 2026, the revenue model has not been publicly disclosed. Planned product launch is targeted for 2026.

techcrunch.com
Marketing channels2 records

Each record includes

Title, Type, Stage, Description, Source

Cost components5 values
Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

humans& is a frontier AI lab developing foundation models for social intelligence and team collaboration. Its announced flagship product, AICE Agent, is an AI system that augments human workers by managing collaborative workflows—tracking decisions, balancing competing priorities, and maintaining alignment across organizations—trained using long-horizon and multi-agent reinforcement learning. As of January 2026, the company is pre-revenue with approximately 20 employees and has not yet shipped its first commercial product; launch is planned for later in 2026.

Differentiator
Functional benefit
Problem solved
Product overview1 text field

humans& is a human-centric frontier AI lab developing foundation models for social intelligence and team collaboration. The company is building AICE Agent, an AI system that augments rather than replaces human workers, using innovations in long-horizon and multi-agent reinforcement learning, memory, and user understanding. The product is designed to facilitate group decision-making, conflict resolution, and organizational alignment. As of early 2026, the company is pre-product launch with approximately 20 employees and has not yet shipped its first commercial product.

Product and service1 record
1AICE Agent
CategoryAI Collaboration Software
Description

An AI agent system designed to augment rather than replace human workers by managing collaborative workflows—tracking decisions, balancing competing priorities, and keeping teams aligned over time across organizations. Built on foundation models trained using long-horizon and multi-agent reinforcement learning for social intelligence.

Scale indicator4 records

Each record includes

Type, Value, Description, Source

Partnership3 partners
1Andi Peng (co-founder)
Strategic tierCoreTypeOthersAnnounced on2026-02-25
Description

Co-founded humans& with expertise from Anthropic. Former Anthropic researcher focused on human-centric AI systems.

newcomer.co
2Georges Harik (co-founder)
Strategic tierCoreTypeOthersAnnounced on2026-02-25
Description

Co-founder of humans& and Google's seventh employee. Co-led the $480M seed round and is a key figure in the company's direction.

newcomer.co
Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2026-02-09
Description

Represented by Vijoy Pandey at VentureBeat's AI Impact Series, discussing agent connectivity and collective intelligence alongside humans& co-founder Noah Goodman. Both companies are exploring multi-agent AI architectures, with Outshift proposing an 'Internet of Cognition' framework.

Recent move5 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeBroad incumbent
Description

Alphabet's frontier AI research arm and named competitor via Gemini in Workspace. DeepMind shares talent lineage with humans& (multiple co-founders have prior DeepMind experience) and pursues overlapping multi-agent and reasoning research.

TypeBroad incumbent
Description

Frontier AI lab and direct competitor in the AI agent / coordination space (Claude Cowork). Humans& co-founder Andi Peng is an Anthropic alumnus, and Anthropic is explicitly named as a competitor humans& plans to challenge in enterprise collaboration.

TypeEmerging player
Description

Bret Taylor-led AI agent company focused on conversational agents for enterprise customer experience. Comparable in building production-grade AI agents for enterprise workflows and in pursuing a 'human-centric' augmentation rather than replacement positioning.

TypeBroad incumbent
Description

Enterprise-focused AI lab founded by Mustafa Suleyman (DeepMind co-founder) pursuing human-centric personal and enterprise AI assistants. Comparable positioning around 'human-centered AI' and overlap with humans& in DeepMind talent lineage.

TypeEmerging player
Description

AI agent startup building autonomous task-execution agents for consumers and enterprises. Comparable to humans& in pursuing agentic AI capabilities, though MultiOn focuses on individual user task automation rather than multi-agent team coordination.

TypeDirect peer
Description

Elon Musk's frontier AI lab with overlapping talent lineage (humans& founders include ex-xAI researchers) and similar foundation-model ambitions. Both labs target reasoning and agentic capabilities and compete directly for AI research talent.

TypeEmerging player
Description

Early-stage AI agent company building foundation models that take actions on behalf of users across enterprise software. Comparable to humans& in its focus on agents that augment rather than replace workers, though Adept focuses on individual task automation versus multi-agent coordination.

TypeEmerging player
Description

AI lab behind Devin, the autonomous software engineering agent. Comparable in building foundation-model-driven autonomous agents for enterprise workflows and in pursuing capital-intensive frontier model development with significant seed-stage funding.

TypeBroad incumbent
Description

Frontier AI lab building foundation models and multi-agent orchestration capabilities (e.g., Operator, AgentKit). Humans& explicitly positions against OpenAI's multi-agent efforts and competes for the same enterprise AI talent pool.

TypeBroad incumbent
Description

Enterprise-focused foundation model provider offering AI agents and workflow automation for businesses. Comparable as a competing enterprise AI platform pursuing agentic capabilities and targeting similar organizational coordination use cases.

Market position
Strengths4 records

Each record includes

Headline, Details, Source

Weaknesses4 records

Each record includes

Headline, Details, Source

Competitive moat4 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Segment1 record

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile1 record

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability5 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature3 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles4 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds1 record

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors16 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

humans&

AI Collaboration Softwarehumansand.ai

humans& is a San Francisco-based frontier AI lab building foundation models for social coordination and team collaboration, targeting enterprise organizations with long-horizon, multi-agent reinforcement learning systems such as its announced AICE Agent.

What humans& does

humans& (legal entity humans& ai, inc.) is a San Francisco-based, privately held frontier AI lab founded in September 2025 by alumni of xAI, Anthropic, Google DeepMind, OpenAI, Meta, Reflection, AI2, Stanford, and MIT. Co-founders include Georges Harik (Google's seventh employee), Andi Peng (former Anthropic researcher), Noah Goodman, and Eric Zelikman (co-founder and CEO). The company's stated thesis is that the next chapter of AI should center on people and their relationships, positioning its systems as "connective tissue" that strengthens organizations and communities rather than tools that displace workers.

The company is building foundation models trained with long-horizon and multi-agent reinforcement learning, memory systems, and user-understanding components, targeting social intelligence, team coordination, group decision-making, conflict resolution, and organizational alignment rather than retrieval or code generation. Its announced flagship product, AICE Agent, is designed to plan, act, and follow through on extended multi-step coordination tasks across organizations. The product has not yet shipped; first commercial release is targeted for later in 2026.

humans& is pre-revenue. There are no disclosed customers, no public pricing, and no active commercial distribution channels. The January 2026 $480M seed round at a $4.48B post-money valuation, led by SV Angel and co-founder Georges Harik with participation from NVIDIA, Jeff Bezos, GV, Emerson Collective, Forerunner, S32, DCVC, Human Capital, Liquid 2, Felicis, CRV, and others, is earmarked primarily for compute resources to train foundation models. The intended go-to-market is enterprise-focused, with plans to compete against Anthropic's Claude Cowork, Google Gemini in Workspace, and OpenAI multi-agent orchestration through direct sales and/or API access upon launch.

humans& firmographics

Firmographics
Name
humans&
Legal name
humans& ai, inc.
Website
https://humansand.ai
Company type
Private
Founded year
2025
Operating status
Operating
Headcount range
11–50 employees
Short description
humans& is a San Francisco-based frontier AI lab building foundation models for social coordination and team collaboration, targeting enterprise organizations with long-horizon, multi-agent reinforcement learning systems such as its announced AICE Agent.
Ownership category
akta.pro rank

humans& industry classification

Industry
Product category
AI Collaboration Software
NAICS
Custom Computer Programming Services (541511)
SIC
Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)
akta.pro primary industry
Agents & Autonomous Workflows (Tool Use, Planning, Multi-Agent) (HDAAACAF)
akta.pro secondary industries
End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA), Workplace Automation & Self-Service (RPA for IT, Chatbots, Virtual Agents) (BPAEAIAI)

Keywords

  • Frontier AI research
  • Human-centered AI
  • Multi-agent collaboration
  • Foundation models
  • Team coordination AI

Where humans& is headquartered

Location

Headquarters

HQ city
Redwood City
HQ country
United States
HQ region
North America

Offices1 record

Markets served

humans& business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Revenue model

  1. AI Collaboration Platform (planned): The company is building a foundation model for social intelligence and team coordination. As a pre-revenue company with no shipped product as of early 2026, the revenue model has not been publicly disclosed. Planned product launch is targeted for 2026.

Go-to-market motion1 record

Marketing channels2 records

humans& product offering

Product offering

Core offering

humans& is a frontier AI lab developing foundation models for social intelligence and team collaboration. Its announced flagship product, AICE Agent, is an AI system that augments human workers by managing collaborative workflows—tracking decisions, balancing competing priorities, and maintaining alignment across organizations—trained using long-horizon and multi-agent reinforcement learning. As of January 2026, the company is pre-revenue with approximately 20 employees and has not yet shipped its first commercial product; launch is planned for later in 2026.

Product overview

humans& is a human-centric frontier AI lab developing foundation models for social intelligence and team collaboration. The company is building AICE Agent, an AI system that augments rather than replaces human workers, using innovations in long-horizon and multi-agent reinforcement learning, memory, and user understanding. The product is designed to facilitate group decision-making, conflict resolution, and organizational alignment. As of early 2026, the company is pre-product launch with approximately 20 employees and has not yet shipped its first commercial product.

Differentiator

Problem solved

Functional benefit

Products and services

  • AICE Agent An AI agent system designed to augment rather than replace human workers by managing collaborative workflows—tracking decisions, balancing competing priorities, and keeping teams aligned over time across organizations. Built on foundation models trained using long-horizon and multi-agent reinforcement learning for social intelligence.

Companies that use humans&

Customer profile

Segments1 record

Ideal customer profiles1 record

humans& technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability5 records

Feature3 records

humans& partnerships and signals

Strategic signal

Partnerships

Three partnerships are on record, tiered core and minor.

  • Andi Peng (co-founder)coreOthers · 25 February 2026Co-founded humans& with expertise from Anthropic. Former Anthropic researcher focused on human-centric AI systems.
  • Georges Harik (co-founder)coreOthers · 25 February 2026Co-founder of humans& and Google's seventh employee. Co-led the $480M seed round and is a key figure in the company's direction.
  • Outshift by CiscominorStrategic or Co-development Partner · 9 February 2026Represented by Vijoy Pandey at VentureBeat's AI Impact Series, discussing agent connectivity and collective intelligence alongside humans& co-founder Noah Goodman. Both companies are exploring multi-agent AI architectures, with Outshift proposing an 'Internet of Cognition' framework.

Scale indicators4 records

Recent moves5 records

Expansion highlights5 records

humans& competitors and assessment

Company assessment

Broad incumbents

  • Google DeepMind: Alphabet's frontier AI research arm and named competitor via Gemini in Workspace. DeepMind shares talent lineage with humans& (multiple co-founders have prior DeepMind experience) and pursues overlapping multi-agent and reasoning research.
  • Anthropic: Frontier AI lab and direct competitor in the AI agent / coordination space (Claude Cowork). Humans& co-founder Andi Peng is an Anthropic alumnus, and Anthropic is explicitly named as a competitor humans& plans to challenge in enterprise collaboration.
  • Inflection AI: Enterprise-focused AI lab founded by Mustafa Suleyman (DeepMind co-founder) pursuing human-centric personal and enterprise AI assistants. Comparable positioning around 'human-centered AI' and overlap with humans& in DeepMind talent lineage.
  • OpenAI: Frontier AI lab building foundation models and multi-agent orchestration capabilities (e.g., Operator, AgentKit). Humans& explicitly positions against OpenAI's multi-agent efforts and competes for the same enterprise AI talent pool.
  • Cohere: Enterprise-focused foundation model provider offering AI agents and workflow automation for businesses. Comparable as a competing enterprise AI platform pursuing agentic capabilities and targeting similar organizational coordination use cases.

Emerging players

  • Sierra AI: Bret Taylor-led AI agent company focused on conversational agents for enterprise customer experience. Comparable in building production-grade AI agents for enterprise workflows and in pursuing a 'human-centric' augmentation rather than replacement positioning.
  • MultiOn: AI agent startup building autonomous task-execution agents for consumers and enterprises. Comparable to humans& in pursuing agentic AI capabilities, though MultiOn focuses on individual user task automation rather than multi-agent team coordination.
  • Adept AI: Early-stage AI agent company building foundation models that take actions on behalf of users across enterprise software. Comparable to humans& in its focus on agents that augment rather than replace workers, though Adept focuses on individual task automation versus multi-agent coordination.
  • Cognition AI: AI lab behind Devin, the autonomous software engineering agent. Comparable in building foundation-model-driven autonomous agents for enterprise workflows and in pursuing capital-intensive frontier model development with significant seed-stage funding.

Direct peers

  • xAI: Elon Musk's frontier AI lab with overlapping talent lineage (humans& founders include ex-xAI researchers) and similar foundation-model ambitions. Both labs target reasoning and agentic capabilities and compete directly for AI research talent.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

humans& social profiles

Digital presence

humans& financial estimates

Financial estimate

Revenue estimate

Valuation estimate

humans& leadership team

Management profile

Number of profiles

Profiles4 records

humans& funding detail

Funding detail

Funding overview

Funding rounds1 record

Investors16 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

humans& M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about humans&

What does humans& do?

humans& is a frontier AI lab developing foundation models for social intelligence and team collaboration. Its announced flagship product, AICE Agent, is an AI system that augments human workers by managing collaborative workflows—tracking decisions, balancing competing priorities, and maintaining alignment across organizations—trained using long-horizon and multi-agent reinforcement learning. As of January 2026, the company is pre-revenue with approximately 20 employees and has not yet shipped its first commercial product; launch is planned for later in 2026.

Is humans& a public or private company?

humans& is a private company. It is classified as venture growth investor backed and is currently operating.

When was humans& founded?

humans& was founded in 2025. It employs 11 to 50 people.

Where is humans& based?

humans& is headquartered in Redwood City, United States, in the North America region.

How does humans& make money?

One revenue line is on record: AI Collaboration Platform (planned).

Who are humans&'s main competitors?

Broad incumbents on record are Google DeepMind, Anthropic, Inflection AI, OpenAI and Cohere. Emerging players are Sierra AI, MultiOn, Adept AI and Cognition AI. xAI is listed as a direct peer.

Does humans& have an API?

No public API is recorded for humans&.

What industry is humans& in?

humans&'s product category is AI Collaboration Software. Its primary akta.pro industry code is HDAAACAF, Agents & Autonomous Workflows (Tool Use, Planning, Multi-Agent), with a secondary code of HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management). Its NAICS code is 541511 and its SIC code is 7372.

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Live signals
AiThorityDeepInfra and humans& Partner to Power the Next Generation of AI DevelopmentDeepInfra and humans& announced a partnership to deploy a 2-megawatt cluster in Hillsboro, Ore., featuring over a thousand NVIDIA B300 GPUs. The cluster provides large-scale compute for frontier AI model development, with DeepInfra's DeepCluster offering dedicated infrastructure.HpcwireDeepInfra and humans& Partner on 1,000-GPU NVIDIA B300 Cluster - AIwireDeepInfra and humans& announced a partnership to deploy a cluster with over 1,000 NVIDIA B300 GPUs and more than two megawatts of power in Hillsboro, Ore. The cluster supports frontier AI model development, with humans& co-founder Georges Harik as a lead investor in DeepInfra's Series B.Digital JournalAI companies account for over a quarter of 2026’s 98 newly minted unicorn start-upsAs of May 2026, 98 startups have achieved unicorn status, with AI firms representing the largest share at 25 companies just over one-quarter of all new entrants, according to a BestBrokers analysis of Crunchbase data. The most valuable new unicorn is UK-based Ineffable Intelligence at a $5.1 billion valuation after securing over $1.1 billion in funding, followed by US AI firms humans& ($4.5B) and Ricursive Intelligence ($4B). The US remains the dominant hub for unicorn creation with 60 of the 98 new unicorns, while robotics ranks second with 11 companies as investors increasingly shift capital toward AI infrastructure, robotics, and embodied AI systems.CNBCMeta, Google, OpenAI among Big Tech firms seeing top staff leaving to launch AI startupsTop AI researchers are leaving major tech companies including Meta and Google to launch their own AI startups, attracting significant venture capital funding in the process. Former Google DeepMind researcher David Silver raised a record $1.1 billion seed round for his months-old startup Ineffable Intelligence, while other recent spinouts including Ricursive Intelligence and Humans& have collectively raised hundreds of millions more. Investors are backing these ventures as Big Tech focuses narrowly on scaling large language models, creating opportunities in research areas like new architectures, agents, and interpretability that large companies have deprioritized.TechStartupsTop Startup and Tech Funding News – March 23, 2025Multiple tech startups announced funding rounds on March 23, 2026, collectively raising over $737 million across seed to Series B stages, with investments spanning AI, semiconductors, healthcare, space, and digital media sectors. The largest round was humans&'s $480 million seed funding at a $4.48 billion valuation, followed by Juicebox's $80 million Series B and Lace's $40 million Series A for advanced chipmaking technology using helium atom lithography. The funding activity signals strong investor conviction in human-centric AI, intelligent automation, and next-generation hardware technologies.NewcomerStartups Target the Tricky Task of Making AI Seem More HumanMultiple AI startups focused on building systems that simulate human emotions, intent, and behavior have emerged and attracted significant venture capital in recent months. Simile raised a $100 million round led by Index Ventures, while Aaru secured a near-$1 billion valuation in a funding round led by Redpoint Ventures, and Humans& launched with $480 million in backing from Jeff Bezos, Nvidia, GV, and SV Angel. Other startups in this space include Prior Computers (spun out from MIT and Harvard), People Make Things (in funding talks with Index Ventures), Expected Parrot (YC Fall 2025 batch), and Constellation Systems ($10 million seed round from Long Journey Ventures).NewcomerCapital-Intensive 'Coconut' Rounds Upend the Traditional Venture Funding ModelFormer GitHub CEO Thomas Dohmke secured a $60 million seed round at a $300 million valuation for his new AI developer platform, Entire, led by Felicis Ventures. This funding is considered modest compared to the surge of multi-billion dollar 'coconut' rounds in the AI sector, such as those raised by World Labs and humans&. The article highlights a strategic shift where VCs are committing massive early-stage capital to secure talent and technology amidst fierce competition.VentureBeatThe missing layer between agent connectivity and true collaborationAt VentureBeat's AI Impact Series, speakers from Outshift by Cisco and Humans& discussed the gap between agent connectivity and true collective intelligence in multi-agent AI systems. Outshift's Vijoy Pandey proposed an "Internet of Cognition" architecture with three layers (protocol, fabric, and cognition engine) to enable agents to share intent, knowledge, and achieve collective innovation. Humans& co-founder Noah Goodman outlined an alternative approach focused on training foundation models for human-agent and multi-agent collaboration rather than pursuing longer autonomy, emphasizing that true superintelligence will come from distributed systems integrating humans and AI.TrendHunter.comHuman-Centric AI Tools : Long-Horizon Multi-Agent ModelsHumans&, a San Francisco startup, launched an AI system called AICE Agent focused on augmenting workers with long-horizon and multi-agent reinforcement learning. The company raised $480 million in seed funding led by SV Angel, with participation from Nvidia, Google Ventures, and Jeff Bezos, and plans to release its first product later this year.