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Ovasave Empowers Women To Tackle Difficult Fertility Choices
The UAE-based startup helps women to test their fertility at home and connects them to a network of clinics offering egg-freezing procedures.
Abu Dhabi-based Ovasave is on a mission to empower women to take control of their fertility. Founded by Torkia Mahloul and Majd Abu Zant, the startup seeks to ease the complexity of freezing eggs while encouraging women to start testing their ovarian reserves at thirty years of age to improve their chances of becoming pregnant in the future.
Ovasave’s digitized process is centered around a $100 FDA-approved self-administered home hormone test, followed by a remote consultation by a doctor from a vetted fertility clinic network. Depending on the results and the consultation outcome, patients can opt for an egg-freezing package from one of the clinics in the network.
“Access to fertility services is a major issue. Women are delaying having children, so their fertility is declining, but they are not acting on it because of a lack of awareness […] and because the fertility journey is fragmented and complex,” Ms Mahloul says.
Recent changes to reproductive health laws in the United Arab Emirates now allow single and married women to preserve eggs for both social and medical reasons (including pursuing education or career advancement or undergoing cancer treatments).
According to co-founder Abu Zant, freezing eggs costs around Dh25,000 per cycle, with storage averaging another Dh1,500 per year. In the UAE, frozen eggs can be legally stored for five years, with an option to extend by an additional five years.
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Ovasave is partnering with eight UAE fertility clinics and twenty IVF specialists. Users will be able to rate doctors so that other women can compare the reviews when they book a consultation.
So far, the co-founders have invested $400,000 into the startup and are seeking to raise up to $2 million over the coming six months. The funds will be used for technical development, recruitment, and general market growth.
News
NVIDIA Puts GPT-5.5 Codex In Hands Of 10,000 Staff
The chipmaker has significantly expanded OpenAI’s latest model across teams from engineering to HR under tight internal controls.
NVIDIA has started rolling out OpenAI’s GPT-5.5 model through the Codex coding agent to more than 10,000 employees, extending the tool well beyond software teams and into core business functions.
The deployment covers engineering, product, legal, marketing, finance, sales, HR, operations and developer programs. Staff are using Codex for coding, internal research and routine knowledge work as companies test whether AI agents can move from demos to daily use.
GPT-5.5 is running on NVIDIA’s GB200 NVL72 rack-scale systems, linking OpenAI’s newest model directly to the chipmaker’s latest infrastructure push. NVIDIA said the systems cut cost per million tokens by 35 times and raise token output per second per megawatt by 50 times versus earlier generations.
Inside the company, it says the effects are immediate. Debugging work that once took days is being finished in hours and experiments across large codebases that used to stretch over weeks are now handled overnight. Teams are also building features from natural-language prompts with fewer failed runs.
In a company-wide note urging staff to adopt the tool, CEO Jensen Huang wrote: “Let’s jump to lightspeed. Welcome to the age of AI.”
Security remains central to the rollout. Codex can connect through Secure Shell to approved cloud virtual machines, allowing agents to work with company data without moving it outside approved environments. NVIDIA said it assigned cloud VMs to employees so agents run in isolated sandboxes with full audit trails.
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The company added that the setup uses a zero-data-retention policy. Access to production systems is read-only through command-line tools and internal automation layers.
The move also highlights NVIDIA’s long relationship with OpenAI. NVIDIA said the partnership began in 2016, when Huang personally delivered the first DGX-1 AI supercomputer to OpenAI’s San Francisco office.
The two companies have since worked across hardware and model deployment. NVIDIA also said OpenAI plans to deploy more than 10 gigawatts of NVIDIA systems for future AI infrastructure.
For Gulf markets pouring money into sovereign AI and enterprise automation, the signal is clear: internal AI agents are moving from pilot phase to standard tooling.
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