Volantis raises $88 million to create new AI inference architecture
Read more
Ventureburn
ventureburn.com

Volantis raises $88 million to create new AI inference architecture

San Francisco-based company Volantis has raised $88 million in a Series A round to develop a new architecture designed for artificial intelligence inference. The round was co-led by Lachy Groom and Abstract Ventures, with participation from John Doerr, VXI Capital, Triatomic, and Susa Ventures. Private investors Dwarkesh Patel, Naveen Rao, and Sholto Douglas also participated.

The semiconductor company aims to solve one of the key problems in modern AI infrastructure. Its architecture is intended to simultaneously improve memory bandwidth and capacity. According to Volantis, this will allow for supporting larger models at significantly higher inference speeds.

Large AI models require a substantial amount of memory during operation, as well as high bandwidth for continuous data transfer to computing systems. Existing architectures force a compromise between these requirements. On-chip SRAM provides high bandwidth but has limited memory capacity.

GPU-based systems use high-performance memory to increase capacity, but bandwidth can limit the speed of increasingly large models. Volantis seeks to change this balance with its A-1 system. The company states that A-1 will be able to support models exceeding 20 trillion parameters and is designed to achieve speeds of up to 10,000 tokens per second per user.

Furthermore, Volantis claims that its architecture can reduce the cost of inference per token. The company expects that faster data processing will benefit increasingly complex AI agents, allowing code agents to complete tasks in significantly less time.

Volantis is developing a photonic interconnect specifically designed for connections between computation and memory. Its optical structure integrates a large number of memory chips into a single pool. This approach allows for increased bandwidth as more memory is added.

The company uses custom micro-VCSELs in its photonic platform. These components are based on an established gallium arsenide manufacturing ecosystem. Volantis notes that this method helps avoid some supply constraints associated with indium phosphide.

The company's developed micro-VCSELs are characterized by compactness, thermal stability, and energy efficiency. The company's goal is to achieve end-to-end connections consuming less than one picojoule per bit. The technology can also connect up to 220 memory chips around a single GPU. Volantis plans to disclose more details about the architecture as A-1 approaches commercialization.

The new funding will be directed towards the development and commercialization of A-1, as well as expanding engineering capabilities and preparing for customer deployment. Volantis intends to provide its first integrated inference engines to customers in 2027.

The company's founders include specialists who previously worked at NVIDIA, AMD, Broadcom, and Ayar Labs. Their prior experience includes significant achievements in packaging, VCSEL, and silicon photonics. Volantis emphasizes that the team relies on proven technologies rather than unproven breakthroughs.

CEO and co-founder Tapa Ghosh stated that inference speed will become increasingly important as AI agents take on more tasks across various business sectors, and their completion speed can influence company operational pace.

The fundraising comes amid ongoing pressure in AI memory supply chains. The growing demand for AI has amplified the importance of both memory capacity and bandwidth. Volantis positions A-1 as an alternative approach to this infrastructural problem.

Similar stories

Armadin raises $255.5 million to combat artificial intelligence threats using agentic AI
Read more
ventureburn.com

Armadin raises $255.5 million to combat artificial intelligence threats using agentic AI

As artificial intelligence grows rapidly, the activity of malicious actors is increasing at the same pace, using advanced AI models to turn new vulnerabilities into fully functional exploits in just a few hours. Traditional penetration testing methods cannot cope with this alarming speed, as they only issue isolated alerts lacking real context, creating serious gaps in enterprise security.

To bridge this gap, Armadin raised $255.5 million in a Series B funding round, achieving a valuation of $2.5 billion just seven months after exiting stealth mode. Existing defense methods are ineffective because human security teams operate in a standard mode, trying to keep up with autonomous scripts that function around the clock.

Attackers often gain the upper hand because they do not view network weaknesses in isolation; they skillfully link small, seemingly insignificant configuration errors with unauthenticated remote execution vulnerabilities. Before many companies can react, hackers gain access to their cloud infrastructure. Standard security tools simply generate huge lists of generic warnings.

CEO Kevin Mandia and his team at Armadin changed this situation by attacking themselves in a safe, controlled environment. Armadin deploys a highly autonomous swarm of specialized AI agents directly into an organization's production environment. These agents are capable of reasoning, adapting, and acting like elite, state-sponsored hackers searching for entry points.

By identifying exploitable paths, moving through the network, and linking vulnerabilities, they create a confirmed attack chain. This allows enterprise and government security teams to get a clear picture of the potential scope of a breach before it happens, thereby leveling the playing field between defense and attack.

Recognizing the growing threat facing the AI industry, Armadin has received significant backing from major enterprises. In seven months since leaving stealth mode, the startup reached a $2.5 billion valuation. The latest $255.5 million Series B round was led by Andreessen Horowitz (a16z) and Accel, injecting substantial capital into realizing their vision. New investors include Bain Capital Ventures and Redpoint, while industry giants such as Google Ventures, Kleiner Perkins, 8VC, Ballistic Ventures, and In-Q-Tel enthusiastically joined them.

This increases Armadin's total funding to an impressive $445 million. The investment community clearly sees the trend: AI is not just a buzzword, but the most significant platform shift in cybersecurity history. The old guard is actively being replaced by intelligent, offensive defense.

With the new capital infusion, Armadin plans to aggressively scale its agentic security platform globally. The funds will be directed towards accelerating cutting-edge research, intensive training of hyper-attack AI models, and powerful market entry. The company is already conducting simulations of high-risk campaigns for Fortune 500 giants and leading government agencies where the stakes are extremely high.

As adversaries continue to arm artificial intelligence relentlessly, creating proactive defenses trained against the best possible attack is no longer a luxury—it is the only viable path forward.

Baselayer raises $35 million to scale AI agent identity infrastructure
Read more
ventureburn.com

Baselayer raises $35 million to scale AI agent identity infrastructure

Baselayer has raised $35 million in a Series A funding round to expand its identity infrastructure for artificial intelligence agents. The round was led by M13, with participation from Torch Capital, Picus Ventures, Afore Capital, and Matt Thompson of Socure. In addition to securing funding, the New York-based company has launched its Agentic Identity Suite.

The platform's primary goal is to help financial institutions detect autonomous agents before they can complete transactions. Baselayer was founded in 2023 by Jonathan Avad and Timothy Hyde. Jonathan Avad serves as CEO, and Timothy Hyde is the CTO.

Previously, the company focused on business identity and risk infrastructure for financial institutions. Currently, the platform supports over 2,300 financial institutions and payment companies. Baselayer claims that its technology has helped clients prevent over a billion dollars in fraud losses.

As AI agent systems increasingly perform tasks previously assigned to humans—such as opening accounts, moving funds, making purchases, and conducting business operations—a new trust challenge arises for financial infrastructure. Traditional identity systems were built with people and companies in mind but are not designed to verify autonomous software acting on behalf of a third party.

The company aims to become the trust layer for institutions dealing with autonomous agents, as they need to know which specific agent is operating and who authorized its actions. Furthermore, they need to understand the agent's scope of authority. Baselayer states that static fraud controls can block legitimate users while ignoring sophisticated attacks. Its Agentic Identity Suite is designed to close this gap and assess the possibility of a secure transaction by an agent.

The system is intended to provide cryptographic verification around agents and the organizations they represent. Baselayer is extending its existing business identity network into the realm of the agent economy. The company already provides identity verification services and risk infrastructure for financial and payment enterprises. Its network includes over 2,300 institutions across the United States. Baselayer also collaborates with agent developers, card networks, and payment companies. Among its partners and clients are FIS, Prove, Socure, Exa, and Parallel Web Systems.

The company is involved in shaping new standards for agent authentication and identification, including the FIDO Alliance Authentication Working Group and the x402 Identification Working Group. Baselayer works alongside companies such as Cloudflare, Google, Visa, and Mastercard.

According to the company, common standards will become critically important as agent commerce expands. This funding comes amid large payment companies developing infrastructure for AI-driven commerce. Stripe reported that about 70% of API requests now come from AI agents. Visa, Mastercard, and American Express have also implemented agent commerce protocols, and Shopify has provided agent sales channels to approximately one million merchants. These developments point to the broader application of autonomous systems in commercial operations.

McKinsey predicts that agent commerce could redirect between $3 trillion and $5 trillion in retail spending by 2030. Baselayer believes that such growth will require more robust identity and fraud prevention infrastructure. The company plans to evolve around emerging standards while expanding its agent products.

Karl Alomar, Managing Partner at M13, noted that Baselayer already possesses valuable operational infrastructure, citing its network of financial institutions and existing risk data. Baselayer stated that the new funding will be directed toward expansion into this nascent market.

Ande raises $52 million to scale its AI-powered corporate entertainment network
Read more
ventureburn.com

Ande raises $52 million to scale its AI-powered corporate entertainment network

Ande, which has emerged from stealth mode, announced the raising of over $52 million in funding, combining seed and Series A rounds. Leaders of this round included Lightspeed Venture Partners, Redpoint Ventures, Duration Ventures, and Sierra Ventures; Bain Capital Ventures also participated in the financing.

The company's main goal is to service large enterprises' expenses for corporate events. These expenses include client dinners, team outings, sporting events, catering, and corporate gifts. Enterprises are estimated to spend around $325 billion annually on such activities.

Despite significant spending, the booking process remains fragmented across various systems. Ande solves this problem by integrating all these activities into a single corporate platform. Employees can book experiences while finance and legal departments maintain control over expenditures. The company spent two and a half years digitizing venue data.

The platform uses agent workflows to automate administrative tasks. These workflows can identify suitable venues, route requests for approval, and manage contracts. Furthermore, they support payments and expense reconciliation, significantly reducing manual work for teams managing corporate entertainment programs.

Ande provides a shared workspace for employees involved in corporate entertainment. Executive assistants and office managers can handle requests alongside marketing teams. Managers can also participate in approval processes through the same platform. Then, AI agents advance requests through stages of approval, signing, and payment.

Currently, the platform is used by over 60 enterprises. Among Ande's clients are Cloudflare, Salesforce, McGraw Hill, and Netskope. Other clients include Navan, Sigma Computing, Monday.com, Workato, and Semgrep. These clients account for over $400 million in annual entertainment spending through Ande, with clients reporting savings of 12% to 15%.

The platform also provides teams with better transparency regarding their entertainment programs. Ande's model addresses both sides of each transaction: companies gain procurement infrastructure, and venues gain access to corporate buyers. The company has also trained its AI model for enterprise-specific entertainment workflows.

Ande's network includes over 93,000 entertainment venues, and currently, more than 1,600 hotel properties are direct partners of the platform. Partners include Altamarea Group, Che Fico, and Gracious Hospitality. Other partners include JKS and The Mina Group. Tao Group Hospitality and Wolfgang Puck are also among its hospitality sector partners. Ande provides these companies access to corporate clients through a single distribution channel, as venues traditionally lacked specialized corporate sales networks.

Ande aims to fill this gap through its marketplace. The platform allows venues to offer their services to corporate buyers and interact with companies and manage transactions through the network. This forms a two-sided model for Ande.

Enterprises gain easier access to venues, and the hospitality industry gains corporate demand. Ande's new funding will be directed towards further developing its native AI platform, as well as expanding its network among corporate buyers and venues.

CEO Lohit Sarma emphasized that entertainment plays an important role in business relationships, highlighting its significance for culture, sales, and client interaction. Venture investors also see opportunities in this fragmented market.

Arif Janmohamed from Lightspeed Venture Partners described Ande as a bridge between companies and venues. Alex Bard, Managing Director at Redpoint Ventures, noted Sarma's experience in the enterprise space and the founder's ambition. Ande positions itself as the infrastructure for corporate entertainment, and its AI agents are designed to reduce the administrative burden across the entire booking process. The company's growth will depend on expanding both sides of its network.

}))

Popular