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Maritime Technology Leader Tototheo Global Champions Cyprus’ First International Startup Accelerator

Strategic Partnership Fuels Innovation

Tototheo Global has joined a startup accelerator initiative in Cyprus led by Plug and Play Tech Center. The program marks the launch of an international accelerator in the country focused on connecting startups with global networks.

Establishing A Global Innovation Hub

The initiative includes the creation of an Innovation Centre and programs supporting startups and early-stage companies. The structure is designed to provide access to international expertise, investment, and markets. Tototheo Global participates as a corporate partner supporting the development of the platform.

Empowering Local Ventures With Global Connectivity

Plug and Play Tech Center operates in more than 60 locations globally, connecting startups with investors, corporations, universities, and public-sector organizations. The network provides access to funding, partnerships, and international expansion opportunities.

Decades Of Expertise And A Global Outlook

Tototheo Global said its participation expands the initiative’s scope through its experience in connectivity and digital infrastructure. The company said its international operations support the development of technology-focused businesses in Cyprus.

Catalyzing Innovation In Cyprus

The accelerator will run from late April to June 2026 and focus on sectors including fintech, regtech, gaming, social platforms, shipping, and energy. Tototheo Global’s infrastructure supports companies operating across international markets.

A Commitment To Long-Term Growth

Despina Panayiotou Theodosiou, Co-Chief Executive Officer of Tototheo Global, said the initiative supports the development of the local technology ecosystem. Seena Amidi, Managing Partner of Plug and Play Tech Center, said the program provides startups with access to global partners and funding opportunities.

Linking Local Innovation To Global Markets

The initiative connects startups in Cyprus with international investors and corporate partners, expanding access to funding and cross-border collaboration. Participation in global networks supports the development of local companies and facilitates entry into international markets.

Meta Unveils Muse Wonder Models In A Bid For Frontier AI Leadership

Meta has introduced two new AI models, Muse Wonder and Muse Wonder Full, signalling a more ambitious move into frontier AI. The releases build on Muse Spark but target more demanding tasks, including coding, while placing greater emphasis on long-term memory and personalised assistance.

Larger Models Target More Demanding Tasks

Unlike Muse Spark, which was designed for low latency and lightweight use, Muse Wonder and Wonder Full are significantly larger and, according to Meta, more capable. The company reports stronger benchmark performance and improvements on demanding workloads, including coding.

According to Meta’s model card, both models achieved benchmark results comparable to Fable 5.1 and GPT-6 Astra in the company’s internal testing. Meta described the release as “the next step on our scaling ladder and a major leap toward personal superintelligence” in its announcement.

Pricing Reflects Meta’s Frontier Ambitions

The models’ pricing places them in the premium AI segment. Through the Meta Model API, Muse Wonder will cost $4 per million input tokens and $20 per million output tokens, putting it in a similar pricing tier to GPT-6 Sol and Opus 5.5.

Muse Wonder Full, by contrast, will not be offered through the API. Meta says it will be exclusive to Muse Code subscribers, tying access to its most advanced model to a premium product. Both models will also power the Muse agent.

Long-Term Memory Takes Centre Stage

Meta is increasingly positioning its AI strategy around assistants that can support users over time rather than respond only to individual prompts. A central part of that approach is what the company calls “active memory”: the ability to retain, organise and synthesise information provided by users across extended periods.

Meta points to the MemoryBench benchmark, which evaluates systems designed for continual learning and memory construction. The company says Muse Wonder now outperforms Fable, Opus and Astra on this measure.

“We put a tremendous amount of effort into making sure your model can remember what’s important to you over days, weeks, months, and beyond,” research scientist Kavya Kopparapu said in a launch video.

New Models Follow Meta’s AI Reorganisation

The launch is also significant within Meta’s broader AI strategy. It is the company’s first frontier-model release since Scale AI founder Alexandr Wang reorganised its AI operations in August 2025. Meta has since introduced Muse Spark and the Muse agent, while making fewer high-profile model announcements than competitors such as OpenAI and Anthropic.

The new models were trained at Meta’s Prometheus data centre in central Ohio, which came online earlier in 2026, according to the company. The facility highlights the growing importance of infrastructure in the race to develop advanced AI systems, where performance depends not only on algorithms and data but also on computing capacity, data-centre investment and access to capital.

As competition intensifies, Muse Wonder and Wonder Full represent a broader bet on larger models, persistent memory and premium AI products. Their longer-term significance will depend on how their reported capabilities translate into real-world performance and whether users find enough value to pay for access.

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