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Luma AI (Luma Labs) builds multimodal AI tools that combine different data types such as text, images, video, and audio to expand human imagination and capabilities. Its flagship product, the Dream Machine, integrates multiple modes of data and interaction to support creative workflows. The company monetizes through subscription-based access to its AI tools for individuals, developers, and teams, as well as through enterprise partnerships. Luma AI differentiates itself by offering tightly integrated multimodal capabilities aimed at creative professionals, businesses, and developers, rather than a single-technology focus. Its goal is to drive the next wave of AI-driven creativity and productivity by helping users create and imagine new possibilities with advanced AI tools.
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
201-500
Company Stage
Series C
Total Funding
$987.3M
Headquarters
San Francisco, California
Founded
2021
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The AI office race is on - here are the markets moving. 08.07.2026 By Team SHB AI company registrations in the UK have jumped 1,321% since ChatGPT launched. The UK AI sector now has 5,800 companies and generated £23.9bn in revenue in 2024. In Shoreditch, London's AI hub, Grade A space is being taken up faster than it can be built. London is the AI capital of Europe. Shoreditch and King's Cross are where its future is being built With 47% of all UK AI-named tech firms based in London, every one of those businesses will face the same critical question: what does its office strategy look like as SHB Real Estate Ltd scale? For the most ambitious, the answer increasingly points to two clusters. Shoreditch and the City Fringe for companies that need to be inside London's tech talent network while holding rents well below West End levels. And King's Cross, where the Knowledge Quarter has become the address of choice for the world's most consequential AI names. Google DeepMind, Meta, and Microsoft already anchor the area. OpenAI has since taken 88,500 sq ft at Regent's Quarter. Anthropic signed 158,000 sq ft at One Triton Square. According to CoStar, almost half of all AI lettings across London in April 2026 clustered in the King's Cross and Euston area - a concentration that reflects both proximity to Cambridge and a deliberate cluster effect among firms competing for the same engineers. Both zones are tightening fast. City tower vacancy averaged 2.9% in Q1 2026, with prime towers lower still. The firms moving now are not waiting for conditions to improve. They are moving because they understand what it costs to wait. Luma AI, backed by NVIDIA and valued at $4 billion, opened its first international office in London in December 2025, with plans to hire 200 people by early 2027. These companies are not choosing serviced offices. They are making long-term commitments. OpenAI at Regent's Quarter and Anthropic at One Triton Square: Estates Gazette, June 2026. King's Cross lettings share: CoStar, as reported May 2026. Luma AI: CNBC / Luma AI press release, December 2025. 7.4%. Central London vacancy rate in Q1 2026 Down from a 2025 peak of over 10% 78%. of Q1 2026 take-up was Grade A space Flight to quality is accelerating 2.9m sq ft. Average City tower vacancy rate in Q1 2026 Prime towers lower still, at under 1% 34%. AI-led share of London's tech take-up in 2025 The fastest-growing slice of the market What's driving demand. Unlike the previous wave of tech businesses that leaned into remote-first models, AI companies are driving a decisive return to premium, in-person collaboration. Researchers, engineers, and model trainers need to test, iterate, and build together. The office is their infrastructure, and Shoreditch or Midtown are the infrastructure of choice. Shoreditch sits at the centre of London's AI ecosystem The City Fringe, covering Shoreditch, Farringdon, and Clerkenwell, continues to see strong demand from the tech and AI sector. Grade A fitted rents run £60-£95 per sq ft, offering significant value against the West End's £175 per sq ft prime while keeping firms inside the talent network that matters most to AI hiring. SHB Real Estate, Q1 2026 Early-stage AI companies need agile real estate plans According to Property Week (March 2026), AI firms are moving from flexible spaces to traditional offices of 20,000 to 30,000 sq ft within 18 to 24 months of starting up. Some companies are increasing their space by up to 10 times as they compete for top talent. Property Week, March 2026 Structural change in AI-firm demand Research from CBRE reported by BE News in April 2026 found that AI-led occupiers accounted for 34% of London's tech sector take-up in 2025, up from just 4% in 2015. AI-led companies have taken around 1.5m sq ft of traditional office space across Central London since 2015, making up 11% of total tech sector take-up over the period, and more than half of that space has been taken since the start of 2022. Reported by BE News, April 2026 The occupiers who move are committing early Q1 2026 saw 2.5m sq ft transacted across Central London, close to the five-year quarterly average. Grade A space accounted for 78% of all take-up, with pre-letting hitting its highest Q1 level on record as occupiers secured the best buildings before they reached the open market. SHB Real Estate, Q1 2026 Real estate to facilitate scale. Most AI scale-ups approach their first major office search without a dedicated real estate team. That's where deals go wrong, not on the headline rent, but in the detail: break clauses, capital contributions, fit-out obligations, and the market intelligence to know whether the deal in front of you is actually the best one available. Its proprietary data platforms and market intelligence give clients a genuine competitive advantage. SHB Real Estate Ltd don't estimate market conditions. SHB Real Estate Ltd measure them. In 2025, SHB Real Estate Ltd saved clients £32.2m across relocations, renewals and negotiations. Its 360° model means SHB Real Estate Ltd stay with you from the search through to fit-out and ongoing management, so nothing falls between the gaps. A recent acquisition for a fast-scaling AI company demonstrates exactly what that means in practice: 27,000 sq ft on a 15-year lease in Shoreditch. In a sub-market where Grade A space is scarce, demand is intensifying, and most tech firms default to short-term flexibility, a long-term commitment of that scale demands specialist guidance. The result was a deal structured to support a decade and a half of growth, backed by data, extensively negotiated and delivered without friction. SHB's head of agency, Andy Guntrip, notes, "A 15-year lease from a fast-scaling AI company in Shoreditch is a statement of intent, and the kind of move that only happens with the right intelligence behind it." This isn't a short-term trend. BE News reported in April 2026 that AI-led office take-up in London could reach 4m sq ft by 2033, building on the 1.5m sq ft already taken since 2015. SHB's strategic support. If you're scaling an AI or tech business and starting to think about what your next office looks like - the window to act with confidence is narrowing. Supply continues to fall. Competition for the best Shoreditch and City Fringe buildings is only increasing. The firms that move decisively now will define where London's AI ecosystem is headquartered for the next decade. Contact its team (Required) SHB Real Estate Ltd will be in touch as quick as SHB Real Estate Ltd can 0 of 500 max characters
Riviera Partners acquires Lateral Labs, expanding its AI and machine learning talent search and placement capabilities. Acquisition unites industry's leading tech-focused executive search firm with pioneering AI-native recruiting organization. San Francisco, June 24, 2026 (GLOBE NEWSWIRE) - San Francisco, CA - June 24, 2026 - Riviera Partners, the leading global executive search firm specializing in technology leadership, today announced the acquisition of Lateral Labs, a specialized recruiting firm serving top AI startups. The acquisition comes as companies remain challenged to meet the demand of organizational AI readiness. Adding Lateral Labs positions Riviera Partners to help companies meet that challenge across the full arc of an AI company's growth, offering executive and technical talent search from seed-stage startup through IPO. Lateral Labs partners with some of the most demanding technical teams in AI, including Cursor, ElevenLabs, Runway, Scale AI and Luma Labs. Its embedded, retained and contingent search models meet the specific demands of machine learning and AI research roles through deep domain knowledge, talent relationships and repeatable processes to support high-growth startups with their most critical hires. The company was established in 2024 by Founder and CEO Rob Infantino, a veteran recruiter for leading AI labs including OpenAI and Amazon Web Services. "Our research shows as few as two percent of companies are organizationally ready to execute with AI, and the gap almost always comes down to talent," said Kyle Langworthy, Partner and Head of AI, ML & Data Practice at Riviera Partners. "This acquisition gives companies deeper access to the most in demand AI and machine learning talent their businesses need to execute." "The people who build great AI are rare and in high demand, and reaching them takes real relationships, infrastructure and know-how," said Lateral Labs Founder and CEO Rob Infantino. "Together, Riviera Partners and Lateral Labs can support an AI company's hiring across its full lifecycle - from its first technical hire through IPO - spanning research, science, infrastructure, engineering, product and leadership roles." About Riviera PartnersRiviera Partners is a global executive search firm specializing in technology and product leadership. With over two decades of experience and a proprietary platform that combines deep recruiting expertise with data-driven insights, Riviera is the go-to talent partner for venture capital, private equity, and public companies. Learn more at rivierapartners.com. About Lateral Labs Lateral Labs delivers bespoke hiring solutions for AI startups, operating as an embedded extension of clients' teams. Founded by former AI lab practitioners, Lateral combines rigorous search methodology with deep machine learning domain expertise to help startups build exceptional technical teams. Learn more at lateral-labs.com.
The 1X World Model Lab | est. 2026. JUN 04 '26 1X Today, we're excited to announce that 1X has officially established the 1X World Model Lab, our new frontier research organization dedicated to accelerating the path to fully autonomous humanoids through large-scale embodied world model pretraining. Also, we're proud to welcome Sam Sinha- previously a founding research scientist at Luma AI and a leader in scaling multimodal generative video models- as our Founding AI Researcher and Head of World Models. We put this team together on the heels of major breakthroughs with our World Model. These advances enabled NEO to generalize to completely unseen tasks with zero-shot execution. For us, this was when the recipe for fully autonomous humanoids clicked: The next frontier in AI requires scaling: web-scale media + egocentric human videos + sim + dexterous remote operated robot data + on-policy NEO data | real-world deployment for robot data collection and RL | abundance of data | physical AI And with the NEO factory live, scaling the fleet to support real world data collection is no longer the bottleneck, so we're doubling down on increasing the pace of innovation of our world model to unlock fully autonomous humanoids as fast as humanly possible. "World models will free humanoid robots from the trap of narrow tasks in static environments by unlocking generalization, adaptability, and self-learning. But to reach full autonomy fastest you must own the entire stack - down to pre-training your own video foundation models. That's why we built the 1X World Model Lab." - Bernt Børnich, CEO & Founder More about The 1X World Model Lab. The 1X World Model Lab is a new embodied AI research organization focused on pretraining the foundation models to accelerate the emergence of embodied intelligence. The lab is founded on a simple thesis: robotics is not a fine-tuning problem. To build truly general humanoids, we need to pretrain on the most important data from the very beginning. Embodied intelligence requires models that see the physical world early, not just in post-training. This includes video, ego-centric human experience, interaction data, simulation, robot data collected with remote operation, and on-policy NEO data. Each provides a different signal about how the physical world works and how intelligent agents operate within. The 1X World Model Lab will focus on large-scale AI pretraining, building frontier world models and reasoning models to enable spatial intelligence. These capabilities form the foundation for increasingly general and autonomous humanoid systems. We believe the only durable moat in embodied AI will be data: the ability to collect, annotate, scale, and train on the right mixture of web-scale, human, simulated, remote operator-generated robot data, and robot-generated data. 1X is uniquely positioned to connect the entire learning loop - from pretraining and robot learning to evaluation, deployment, and the collection of on-policy data from real robots. By closing this loop, the 1X World Model Lab will accelerate the development of increasingly capable foundation models for humanoid robotics. Welcoming Sam Sinha as founding Researcher and Head of World Models. Sam brings world-class expertise in scaling large multimodal generative foundation models. At Luma AI, he played a key role in pushing the boundaries of image and video generation, including work on Uni-1. His deep experience in generative AI translates directly into building next-generation world models purpose-built for physical intelligence and humanoid robotics. "We believe the only durable moat in AI is data - specifically, the ability to collect and learn from the optimal mixture at large scales. Embodied data has been treated as a second-class citizen for too long. Embodied AI is too important to be a fine-tuning problem. Scaling along every imaginable axis in robotics is the only way forward. 1X is uniquely positioned to close the full learning loop from data curation and pretraining, through real-world deployment." - Sam Sinha, Founding AI Researcher and Head of World Models Join us. The 1X World Model Lab is building the team that will define the future of embodied AI. We are actively hiring exceptional talent across the three pillars of AI: data, infrastructure and learning. If you're interested, email [email protected] your background + proof of excellence and apply for roles on the 1X careers page. ExperienceNEO. Opt in to receive updates. Unsubscribe anytime.
Luma AI has launched an open research lab that will allow anyone to train robots on its software, marking the company's entry into physical AI development. The move aligns with Nvidia CEO Jensen Huang's assertion that the next frontier for AI competition lies in the physical world. The lab will provide public access to Luma AI's training software for robotics applications. CEO Amit Jain announced the initiative, which represents a shift from the company's existing digital AI products towards physical-world applications.
Luma AI, a Palo Alto-based generative video company, raised $900 million in a Series C round led by HUMAIN, the investment arm of Saudi Arabia's Public Investment Fund, valuing the company at approximately $4 billion. Existing backers including Amazon Web Services and AMD Ventures also participated. Founded in 2021 by CEO Amit Jain and Alex Yu, Luma launched its flagship Ray3 model in 2025, described as the world's first "reasoning video model" that understands spatial, temporal and narrative logic for smooth motion and character consistency. The technology aims to reduce costs and time for professional content creators in advertising, gaming and filmmaking. The funding will support research development, compute infrastructure and global expansion, including new offices in London and Riyadh. Luma has partnered with HUMAIN on Project Halo, a 2-gigawatt AI supercluster in Saudi Arabia.
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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
201-500
Company Stage
Series C
Total Funding
$987.3M
Headquarters
San Francisco, California
Founded
2021
Find jobs on Simplify and start your career today