Following successful international showcases, Stellora.AI continues its mission to apply trusted AI and quantum computing workflows to some of humanity’s most urgent scientific challenges.

Prague, Czechia, May 25th, 2026, ZEX PR WIRE, Stellora.AI, a deep-tech artificial intelligence startup developing advanced agentic AI and quantum workflow technology, today announced the continued advancement of Stellora.AI Quantum Flow, a core part of its broader mission to support healthcare innovation, drug discovery, and research into complex diseases.

From the beginning, Stellora.AI has been built around a simple but ambitious mission: to help humanity by creating trusted AI systems capable of supporting high-impact scientific work as well as individual studied.” . That mission continues today with a stronger focus on healthcare, biomedical research, drug discovery, and difficult disease areas including drug-resistant epilepsy, cancer, and other complex conditions where new computational approaches may help researchers explore future possibilities faster.

Stellora.AI’s improved Quantum Flow is designed to generate functional quantum circuits and quantum code tailored to specific research goals. Unlike generic AI tools, Quantum Flow is built to work with scientific studies provided, quantum theories, target machine SDK documentation, and target quantum machine requirements. This allows Stellora.AI to help users move from research input to executable quantum logic with greater structure, precision, and context.

Stellora.AI emphasizes that Quantum Flow is not intended to replace researchers, doctors, or pharmaceutical laboratories. Instead, it is being developed as a powerful workflow assistant for scientific teams exploring how quantum computing and AI may contribute to the future of healthcare research, molecular modeling, optimization, simulation, and drug discovery.

“Stellora.AI was never created to be just another AI tool. Our mission is to help humanity by making advanced, trusted intelligence available for the most important scientific challenges,” said Michal Charvát at Stellora.AI. “With Quantum Flow, we are building a bridge between validated research, quantum SDKs, and functional quantum circuits — so researchers can move faster from idea to experimentation.”

Quantum Flow: From Research and SDKs to Quantum Circuits

Quantum computing remains one of the most promising yet difficult fields for researchers and organizations to access. Building useful quantum workflows requires understanding quantum gates, hardware limitations, fast-changing software development kits, simulator behavior, backend constraints, and optimization methods.

Stellora.AI Quantum Flow is designed to reduce that complexity.

When provided with relevant studies, technical documentation, valid quantum SDKs, and target-machine guidance, Quantum Flow can help generate quantum circuit code that is aligned with the specific research context. This makes it especially applicable for fields where complex modeling and simulation are essential, including biomedical discovery, computational chemistry, precision medicine, and disease research.

For healthcare-oriented applications, Stellora.AI sees Quantum Flow as a step toward a future where researchers can more easily explore quantum-assisted approaches for drug-resistant epilepsy, oncology, molecular interaction modeling, drug discovery, and other complex biomedical challenges.

“We are still just getting started,” added Michal Charvát. “But every improvement in Quantum Flow brings us closer to a future where AI can help scientists generate, test, and refine quantum workflows for healthcare, drug discovery, and disease research. Our goal is not to replace researchers, but to empower them.”

Continuing the Mission After Web Summit Lisbon and Web Summit Qatar

Stellora.AI’s progress follows successful participation in major international technology events, including Web Summit Lisbon 2025 and Web Summit Qatar 2026, where the company introduced its vision for trusted AI, agentic workflows, and quantum-assisted research.

These events helped Stellora.AI present its technology to a wider international audience and connect with innovators, researchers, investors, and organizations interested in the future of AI for high-trust industries.

The company has also been invited to present at Innovatex Berlin in October 2026, where it plans to showcase how Quantum Flow can generate quantum circuit code when provided with scientific studies and quantum SDK documentation. Stellora.AI also plans to participate again at Web Summit Lisbon 2026, continuing its international growth and visibility.

Beyond Quantum Flow: Stellora Core

While Quantum Flow is one of the most advanced and ambitious parts of the Stellora.AI ecosystem, it is only one part of the company’s broader technology stack.

Stellora.AI continues to offer access to Stellora Core, its foundational AI system designed for trusted, structured, and context-aware reasoning across specialized use cases. Stellora Core is built to support users who need more than generic AI responses, especially in fields where accuracy, context, and reliable knowledge workflows matter.

Together, Stellora Core and Quantum Flow represent Stellora.AI’s broader direction: building AI systems that can work with complex information, support specialized domains, and help users create meaningful outputs from trusted data and documentation.

Demo Access Available

Stellora.AI is currently offering demo access to selected users, organizations, research groups, and partners interested in exploring its technology.

Demo access may include Stellora Core, Quantum Flow, or other specialized components of the Stellora.AI platform, depending on the use case. We are specially interested in conversations with healthcare innovators, research institutions, pharmaceutical teams, quantum computing specialists, scientific organizations, and impact-driven partners.

“Quantum Flow is only one part of what we are building,” said Michal Charvát. “Stellora.AI is a larger ecosystem for trusted intelligence. We are opening demo access because we want serious partners to experience where this technology is going — and how it can support meaningful scientific progress.”

About Stellora.AI

Stellora.AI is a deep-tech artificial intelligence project developing trusted agentic AI systems, advanced reasoning workflows, and quantum-assisted technology for high-impact use cases. The company’s mission is to help humanity by making advanced intelligence more useful, reliable, and accessible for fields such as healthcare, scientific research, drug discovery, cybersecurity, finance, and complex knowledge work.

Stellora.AI’s ecosystem includes Stellora Core, Quantum Flow, and other specialized AI workflows designed to support users who need structured, context-aware, and high-trust outputs.

For more information or to request demo access, visit:

Website: https://stellora.ai
LinkedIn: https://www.linkedin.com/company/107471152/

Or contact the founder directly via:

Michal Charvát
LinkedIn: https://www.linkedin.com/in/mcharvat1/

HongKong, 25th May, 2026 –  In 2026, Specific AI appeared at Startup Grind Conference in Redwood City, California, one of Silicon Valley’s most influential startup gatherings. The event brought together leading founders, investors, operators, and ecosystem builders from around the world.

As a global platform known for convening the people shaping the next generation of great companies, Startup Grind has long served as a meeting ground for innovation, entrepreneurship, and industry collaboration.

Against this backdrop, Specific AI showcased its AI workforce platform for global business expansion, drawing attention from investors, enterprise buyers, and ecosystem partners interested in how AI agents can transform cross-border B2B operations.

A Strong Silicon Valley Debut

The Specific AI team presented its platform to a packed room of investors and operators, generating strong follow-up conversations with venture firms and enterprise prospects. The response underscored growing global demand for AI solutions designed specifically for the realities of cross-border business: fragmented data, language barriers, unfamiliar regulations, and limited local resources.

For Specific AI, these challenges point to a deeper structural problem: when companies expand into foreign markets, they are often forced to make high-stakes decisions with incomplete visibility. Most teams rely on what Specific AI calls “comfort zone data” — information from familiar, domestic, and easily accessible sources — while the most critical signals remain scattered across the “uncomfortable zone”: overseas tenders, foreign-language regulatory filings, international trade signals, and cross-border risk events. Specific AI’s platform is built to close that gap by turning fragmented global intelligence into actionable business decisions.

From Product to Infrastructure

What set Specific AI apart at Startup Grind Conference was not just what the product does today — but where it is going.

While the company currently offers three specialized AI teammates — an AI Bid Specialist, an AI Sales Assistant, and an AI Risk Specialist — the founding team’s ambition extends far beyond individual agent products. Specific AI is building toward becoming the foundational infrastructure layer for global B2B operations: a platform where every business function a company needs to operate internationally has a corresponding AI agent available on demand.

In the vision articulated by co-founder and CEO Jinguang Yang, the platform will eventually cover the full spectrum of cross-border business activity — from financial compliance and legal monitoring to logistics intelligence, trade platform integration, and real-time regulatory tracking — all unified under a single agent framework powered by Specific AI’s proprietary 100M-node commercial knowledge graph.

“We are not building a product,” said Jinguang Yang, co founder of Specific Al. “We are building the infrastructure layer for cross-border B2B growth and intend to be the system for global business — the place where every company, regardless of size, can deploy the right AI teammate for every stage and function of their international operations.”

Proven Traction Across Industries and Geographies

The company’s Startup Grind presentation is grounded in real commercial results. Specific AI has validated product-market fit across a broad range of client profiles: from a Projector & LED Display manufacturer in early-stage global expansion, to a Construction Materials company bidding on European public procurement contracts.

In that flagship enterprise deployment, Specific AI’s AI Risk Specialist has supported enterprise teams in monitoring cross-border commercial, financial, and legal risks across large counterparty networks. 

The Intelligence Foundation Behind the Agents  Agent

What makes Specific AI’s approach distinct is not merely its ability to surface information — it is its ability to understand the connections within that information and act on them. The platform combines a proprietary global data foundation with deep, industry-specific commercial intelligence, then deploys specialized AI agents that do not merely report findings, but identify patterns and relationships across fragmented data sources before executing downstream work: drafting bid proposals, qualifying and outreaching to leads, generating risk alerts, and producing multilingual market reports.

For companies expanding globally, Specific AI brings intelligence and action together on a single platform. Every business function that cross-border growth demands has a corresponding AI teammate ready to take it on.

Looking Ahead

With the Startup Grind appearance behind it, Specific AI is accelerating its expansion in the North American and Japanese markets. For Specific AI, Startup Grind 2026 was more than a conference appearance — it was a proof point that the global market is ready for what the company is building: not just another AI tool, but the AI labor infrastructure that makes every business Day 1 global.

About Specific AI

Founded by a team from Cambridge and backed by multinational consulting expertise, Specific AI is an AI workforce infrastructure company for global business expansion. Its platform provides specialized AI agent teammates — covering sales, procurement intelligence, and risk management — for enterprises navigating cross-border markets. The company serves clients across construction materials, medical devices, solar, semiconductor, auto parts, and AI robotics industries.

Media Contact

Organization: Specific AI Limited

Contact Person: Sisi Tang

Website: https://specific-ai.com

Email:
info@specific-ai.com

City: HongKong

Country:China

Release id:45384

The post Specific AI at Silicon Valley’s Startup Grind Unveils Global B2B AI Infrastructure Vision appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

Bulgaria, 25th May 2026 – Podcast advertising continues to become one of the most trusted and effective channels for brands that want to reach engaged audiences. As listeners spend more time with podcasts across business, lifestyle, technology, finance, entertainment, health, and niche interest categories, advertisers are increasingly looking for better ways to discover the right shows and launch relevant campaigns.

However, the podcast advertising market remains fragmented. Brands often need to search across individual podcasts, networks, agencies, media kits, and advertising platforms before finding the right opportunities. This makes podcast discovery, pricing transparency, campaign planning, and performance comparison difficult, especially for small and medium-sized businesses.

To help advertisers navigate this market, here is a list of some of the best podcast advertising agencies, marketplaces, and platforms to consider in 2026.

1. Podvertise.fm

Website: https://podvertise.fm/ 

Marketplace: https://marketplace.podvertise.fm/ 

Podvertise.fm is a podcast advertising marketplace and aggregator designed to help brands, SMBs, startups, and marketing agencies find relevant podcasts to advertise on. With more than 600,000 podcast profiles, Podvertise.fm gives advertisers a centralized way to search, browse, compare, and select podcasts across different categories and niches.

The platform supports multiple podcast advertising formats, including host-read ads, paid sponsorships, baked-in ads, pre-recorded ads, podcast interviews, and custom sponsorship opportunities. Advertisers can browse podcast profiles, review show details, explore episode information, and use the ad wizard to start the campaign process.

Podvertise.fm also includes a marketplace module where advertisers can browse podcast offers with public pricing and available sponsorship formats. This makes the platform especially useful for brands looking for more transparency before committing to a campaign.

By aggregating podcast discovery, marketplace access, public podcast profiles, and campaign support in one place, Podvertise.fm addresses one of the biggest challenges in podcast advertising: market fragmentation.

2. Oxford Road

Website: https://oxfordroad.com/ 

Oxford Road is one of the leading podcast and audio advertising agencies for larger brands and performance advertisers. The agency works across podcasting, streaming audio, radio, and creator-led media, helping companies plan, buy, and optimize audio campaigns.

Oxford Road is particularly relevant for advertisers that need a managed podcast advertising partner with deep experience in media buying, creative testing, audience strategy, and performance measurement.

3. Ad Results Media

Website: https://www.adresultsmedia.com/ 

Ad Results Media is a full-service agency focused on podcast advertising, digital audio, broadcast radio, YouTube, and creator media. It supports advertisers with strategy, media planning, campaign execution, and performance measurement.

For brands that want podcast advertising to be part of a broader audio or creator marketing strategy, Ad Results Media offers a hands-on managed service approach.

4. True Native Media

Website: https://truenativemedia.com/ 

True Native Media is a podcast representation agency specializing in host-read podcast advertising. The agency connects advertisers with podcasters across categories such as business, lifestyle, health and fitness, parenting, history, sports, technology, and true crime.

Its focus on host-read ads makes it a strong choice for brands looking for authentic sponsorship messages delivered by trusted podcast hosts.

5. Veritone One

Website: https://www.veritone.com/ 

Veritone One is a major player in podcast, audio, and performance media advertising. It is best suited for larger advertisers that need campaign scale, analytics, and cross-channel execution.

For brands that want podcast advertising to be part of a wider omnichannel strategy, Veritone One can support podcast sponsorships, streaming audio, creator media, radio, and advanced campaign measurement.

6. Acast

Website: https://www.acast.com/en 

Acast is one of the most important global podcast advertising and monetization platforms. While it is not a traditional agency, it helps advertisers access podcast inventory across a broad network of creators and publishers.

Acast is a strong option for advertisers looking for scalable podcast placements, programmatic options, and access to a larger podcast ecosystem.

7. Podscribe

Website: https://podscribe.com/ 

Podscribe is a podcast and audio advertising measurement platform used by advertisers, agencies, and publishers. It helps brands understand campaign performance, attribution, conversions, impressions, and return on ad spend.

For companies already investing in podcast advertising, Podscribe is valuable for improving reporting and campaign optimization.

8. Lower Street

Website: https://lowerstreet.co/ 

Lower Street is a podcast production and marketing agency that helps brands create, launch, and grow branded podcasts. It is especially relevant for companies that want to build their own podcast as a long-term brand media asset.

9. Content Allies

Website: https://contentallies.com/ 

Content Allies is a B2B podcast production and marketing agency focused on helping companies use podcasts for content marketing, thought leadership, lead generation, and relationship building.

10. Quill

Website: https://www.quillpodcasting.com/ 

Quill is a full-service podcast agency helping brands develop, launch, grow, and measure branded podcasts. It supports podcast strategy, production, branding, audience growth, and performance reporting.

Final Thoughts

As podcast advertising continues to mature in 2026, brands need partners that can help them identify the right shows, understand sponsorship opportunities, and execute campaigns efficiently.

Podvertise.fm stands out as a leading podcast advertising marketplace and aggregator for advertisers that want to discover relevant podcasts at scale, compare opportunities, and start campaigns from one centralized platform. Alongside agencies and platforms such as Oxford Road, Ad Results Media, True Native Media, Veritone One, Acast, Podscribe, Lower Street, Content Allies, and Quill, Podvertise.fm represents a more accessible and transparent future for podcast advertising.

Media Contact

Organization: Podvertise.fm

Contact Person: Nedko M. Nedkov

Website: https://podvertise.fm

Email: Send Email

Country:Bulgaria

Release id:45412

The post Podvertise.fm Recognized Among the Best Podcast Advertising Agencies and Platforms for 2026 appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section