Brahma AI raises $150 million led by Multiples Alternate Asset Management
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Brahma AI raises $150 million led by Multiples Alternate Asset Management

Brahma AI, a company specializing in enterprise artificial intelligence, has successfully closed a funding round, raising $150 million. The round was led by Multiples Alternate Asset Management. The funds will be used to expand the company's AI platform in areas such as media and entertainment, sports, healthcare, and advertising.

The investment structure of the deal stipulates that Multiples contributed $100 million through the issuance of preferred shares, while Brahma AI secured an additional $100 million in investor interest.

The company collaborates with major global clients, including Warner Bros, NBA, and Mayo Clinic. Its strategic distribution partners include Google, Hakuhodo, and DNEG.

Brahma AI was founded and is led by Prabhu Narasimhan. The company integrates technologies and capabilities developed at DNEG, Metaphysic, and Prime Focus Technologies. Narasimhan serves as Founder and CEO, while Joe Platte, co-founder and CTO, oversees the technology and R&D division.

The native AI platform of Brahma AI includes Brahma AI Core and Brahma AI Studio. Its technology combines the management and intelligence of enterprise content with AI-powered content creation capabilities, covering visual AI, digital humans, voice, and multilingual performance.

Renuka Ramnath, Founder, Managing Director, and CEO of Multiples, noted: 'Brahma AI is reimagining the content supply chain in the age of AI. Our investment is based on the belief that every enterprise is becoming a content enterprise. Multiples Private Equity will be an active partner as the company goes through its next stage of growth through R&D investments, global market expansion, and talent and process building.'

Brahma AI plans to implement its technologies in new use cases and is working on creating interactive digital humans. Furthermore, the company is developing its platform to be model-agnostic, placing a strong emphasis on content security, authenticity, and provenance.

Prabhu Narasimhan, Founder and CEO of Brahma AI, stated: 'We are close to launching interactive digital humans; we are building Brahma AI to be model-agnostic, and we are taking our technology into entirely new applications. And security, authenticity, and provenance are such an important part of what we are creating.'

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Veridion raises $20 million to expand its AI-powered business analytics platform
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Veridion raises $20 million to expand its AI-powered business analytics platform

Veridion has successfully raised $20 million to scale its artificial intelligence-based business analytics platform. The funding round was led by Hoxton Ventures, with participation from existing investors, including Underline Ventures, OTB Ventures, Gapminder, Day One Capital, and Launchub Ventures.

The funds will be used for product development and international expansion into several strategic markets. Furthermore, the company plans to significantly increase its staff in the US as demand from American clients continues to grow.

More than seventy percent of the company's revenue currently comes from US clients. Veridion is strengthening its presence in North America and forging closer ties with American institutions, which is supported by this funding for commercial growth.

Founded in 2019, Veridion has developed a live AI-driven business graph that covers companies worldwide. This platform provides continuously updated information on enterprises across various industries and geographical regions.

The company's digital twin currently includes over 640 million businesses globally. Veridion analyzes billions of digital signals to maintain and update this extensive business dataset. These signals include company websites, public registries, and regulatory documents from different markets.

Product catalogs, social profiles, and news sources are also integrated into the platform. The system uses this information to create a constantly updated view of companies and their commercial activities.

The platform can provide market analysis 52 times faster than traditional sources and covers more than 30 times more companies than many standard business analytics systems. This approach is aimed at organizations that require accurate and up-to-date commercial information.

The company is expanding amid growing volatility in global commercial conditions. Traditional business analytics often relies on quarterly or annual updates, which can pose problems during rapid changes or unexpected company disruptions.

Enterprises can be formed, fail, relocate, or change their risk profiles in much shorter timeframes. Veridion claims that its real-time data helps organizations identify these changes earlier. The platform can also show connections between suppliers and customers affected by changing commercial conditions.

This capability becomes critical when disruptions affect multiple companies in one supply chain. For example, during disruptions around the Strait of Hormuz, users were able to identify vulnerable enterprises and commercial links.

Veridion's clients collectively represent a market capitalization of nearly $2 trillion. As part of its expansion strategy, the company is now dedicating more resources to the US market. The Series A funding gives Veridion the necessary momentum to accelerate product development and strengthen ties with American institutions.

The company currently employs over 60 people in Europe and North America, but it plans to double its team in the US soon. This growth will help attract more clients and establish itself in the American market.

Hoxton Ventures noted that Veridion is transforming the methods of building business analytics. The investor emphasized that the real-time updating data model is a key part of the company's approach. Veridion believes that real-time information allows businesses to react sooner to changing commercial conditions.

The company's technology aims to replace static information with a continuously updated view of global business. The secured funding will provide Veridion with additional resources to expand the platform and develop new features, as well as support efforts to make live business analytics more accessible worldwide.

Factory raises $200 million at $5 billion valuation to scale AI software development
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ventureburn.com

Factory raises $200 million at $5 billion valuation to scale AI software development

Factory has successfully raised $200 million in a new funding round, achieving a valuation of $5 billion. Investors in this round include Blackstone, Khosla Ventures, and Sequoia Capital. Insight Partners, Evantic Capital, and Sound Ventures also participated.

Factory was founded in 2023 by Matan Greenberg and Eno Reyes. Other investors included NEA, Mantis VC, and Clearlake. The round also attracted angel investors, including Nico Rosberg, Brad Gerstner, and Mark Benioff.

The new funding increases the company's total capital raised to over $400 million. This represents significant growth compared to the $1.5 billion valuation set in April. Thus, in five months, Factory's valuation has more than tripled; previously, the company had raised $150 million at that same valuation.

The latest capital raise reflects growing enterprise demand for autonomous software development tools. The San Francisco-based company aims to increase the degree of autonomy in software development. Its platform enables large enterprises to create, test, and maintain software using artificial intelligence agents throughout the entire development lifecycle.

Factory differs from platforms focused on individual coding agents because it provides enterprises with a unified system for managing software development. The platform allows companies to control the training process of their 'software factory,' as well as manage models and system deployment. Factory can operate through its managed cloud infrastructure, or clients can deploy it on-premises or in fully isolated environments, giving enterprises greater control over AI-driven development.

The company reports that its platform is used by hundreds of thousands of developers. Factory's clients include Nvidia, Blackstone, Royal Bank of Canada, Palo Alto Networks, and Adobe. This growing client portfolio underscores the increased interest from the corporate sector in AI-powered software development.

Enterprises are increasingly using AI to boost engineering productivity. Factory believes that companies are moving from using individual coding assistants to building broader software factories around autonomous systems. Matan Greenberg noted: 'Major enterprises worldwide are transitioning from individual coding agents to software factories,' adding that clients confirm the potential for rearchitecting software development systems, although the company is still in the early stages of this transition.

Factory's strategy is focused on creating autonomous software factories that operate continuously under human supervision. Enterprises can regulate measurable outcomes while AI performs development tasks. The company competes in the rapidly growing AI coding market. Factory plans to use the new capital to support further growth, focusing particularly on platform expansion and adoption within the corporate sector.

Temporal raised $550 million to scale its AI-based application infrastructure
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Temporal raised $550 million to scale its AI-based application infrastructure

Temporal has successfully raised $550 million in a Series E funding round, valuing the company at $12.55 billion. The funding was led by Lightspeed, with co-investments from Wellington Management and Goldman Sachs Alternatives. Tiger Global joined the group of leading investors.

Returning investors include Andreessen Horowitz, Sequoia, Index Ventures, and GIC. Sapphire Ventures and Amplify also continued their support. This latest funding round reflects the rapid growth of the Temporal platform, whose annual revenue growth recently exceeded $250 million.

The company's revenue increased by over 200% year-over-year. Furthermore, the net dollar retention rate remained above 200% since February. In August, the Temporal Cloud platform processed over 1.9 trillion operations, demonstrating growth of more than 350% compared to the previous year.

Temporal provides an open platform for building reliable applications. Its core technology is called Durable Execution, which preserves the state of an application during failures. This allows long-running workflows to resume and complete without interruptions.

This approach is becoming increasingly significant for artificial intelligence applications. Agents often perform multiple tasks across various systems, and every additional step can create a new point of potential failure. Temporal aims to keep these workflows running despite infrastructure failures.

Developers can use their preferred programming languages with this platform and integrate various models, tools, and infrastructures. Temporal offers both open-source deployment options and a managed cloud service. Its cloud platform currently serves over 4,300 paying customers.

Temporal's clients include OpenAI, Snap, NVIDIA, Netflix, and JPMorgan Chase. Other users include Salesforce, Shopify, DoorDash, and Block. The platform also supports applications in Anysphere, Lovable, and Scale AI. These implementations cover areas such as AI agents, payments, and customer operations.

Temporal's growth is also evident in the development of its developer community. Open-source installations exceeded 43 million in August, a 134% increase from January 2026. The company notes that adoption continues among both developers and large enterprises.

The company's client base has expanded beyond traditional application workloads. Companies are now using Temporal for long-term AI agents and autonomous vehicle simulations. The platform supports applications requiring continuous execution over extended periods.

This makes reliability critical for AI production systems. Temporal asserts that the transition from AI demonstrations to production systems is accelerating as enterprises require infrastructure capable of reliably handling real-world tasks.

Temporal plans to use the raised funds to expand its global operations. The company also intends to deepen its research and development of the platform. Additional investments will go to product go-to-market teams for developers and enterprise customers. Furthermore, Temporal will scale the infrastructure supporting its growing customer base.

Over the past year, the company's staff has doubled, bringing the total to 570 employees worldwide. Samar Abbas, co-founder and CEO of Temporal, stated that Durable Execution is becoming the standard for reliable applications.

Lightspeed noted that AI production requires systems capable of handling real-world tasks and expects AI agents to perform increasingly important work, driving demand for reliable workflow infrastructure.

The investor views Temporal as an open foundation for agentic applications. The latest funding strengthens support from existing backers and attracts several major institutional investors. The company has secured significant capital to expand its platform.

The next phase of development will focus on global reach, technological deepening, and broader adoption in the corporate sector. As AI workloads become more complex, Temporal is positioning its infrastructure for the next generation of applications.

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