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The Israeli company that reduces all the commissions and management fees we pay

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time: 3 min read

Israelis pay an average of NIS 5,000 to 10,000 a year on unnecessary fees and management fees. The Israeli company Better has managed to find a solution and reduce all these fees to the minimum possible, without haggling over the phone: “Our goal is clear – to help people save money and not waste time on bureaucracy.”
Ekroni (middle): “We obtain the information and scan at any given moment how we can save money everywhere: in taxes, insurance, pensions, mortgages, investments and, by and large, in every field related to finance.”

“I was sure that I was in control of my finances. Excel spreadsheets and stock investments are a hobby for me,” says Michael Shapir, a CEO in the high-tech industry. “I usually have my finger on the pulse when it comes to large financial expenses – mortgages, tax returns, pension funds. The main thing is not to be a sucker.” But Michael discovered that, like many Israelis, he too was a sucker, when he paid unnecessary payments of thousands of shekels a year on commissions and management fees: on pensions, insurance and mortgages. Over time, these are huge sums that accumulate to hundreds of thousands of shekels, which simply disappear from our pockets.

“Everyone already knows that you have to bargain everywhere to lower fees, but most of us don’t have the strength to do it, especially since it usually seems like a small amount of money,” explains Tal Ekroni, one of the founders of the Israeli company Better. “Who wants to start bargaining with the bank, talking to three different insurance companies, dealing with pension funds? It’s just too much. But all these sums together, already become something very significant that can completely change our financial situation.”

Big savings on a half-hour session

Meanwhile, for Michael, “interest rates went up, mortgage payments went up, I went into reserves and expenses kept flowing. Then I remembered my friend, Tal, who served with me in the army, went on to a freelance career and then founded Better. When we met recently, he told me about the solution he had developed – an algorithm for your personal savings based on your personal situation and savings. Alerts you to every opportunity that pops up in a WhatsApp message.

“I went to the after-school program and took the opportunity to meet with a Better representative who would go over all my expenses with me and try to maximize my savings. The decision to devote half an hour to the story was worth a lot of money to me.” In the end, Michael saved no less than 348,000 shekels thanks to steps such as changing his pension plan, refinancing a loan at a lower interest rate, and eliminating unnecessary double insurance. “And the hand is still outstretched,” he smiles.

We have developed technology that automates what people do manually.

Ekroni, one of the three founders of Better, is a financial education expert with 15 years of experience, having founded three startups in the fintech industry, built national financial education programs, and is also an economics lecturer.

“We are three founders who understand finance. We got used to family and friends always asking us questions about money – what to do with their pension, whether to refinance the mortgage, how to invest their savings, etc. We constantly received letters on WhatsApp from the bank that our friends didn’t understand, asking us what to do when the dollar exchange rate drops or when inflation rises, and we always helped everyone along the way.”

“Ultimately, we got tired of doing it manually, and we developed technology that does all this work for our clients. We obtain the information and scan at any given moment how we can save money everywhere: in taxes, insurance, pensions, mortgages, investments, and basically – in any area related to finances. As soon as we identified potential for savings, we ask the client to do it, and without permission, to do the action. To date, we have saved an average of 200,000 shekels per client in commissions and management fees that accumulate over the years.”

Everyone asks: What’s the catch?

Since its inception, Better has managed to save more than 15,000 customers in Israel a fortune. “At first, everyone asks what the catch is and how come 99% of our services are completely free,” laughs Ekroni. “The answer is simple: the technology we developed does most of the work and we profit from the third party – the insurance companies and banks, when we put you on a better path.” In fact, Better only charges customers in two cases: tax refunds (10% of the amount) and mortgage advice (3,000 shekels), and only if the customer is interested in taking advantage of the offer.

“No phones, everything on WhatsApp”

“We believe in complete transparency,” emphasizes Ekroni. “All communication is done on WhatsApp, everything is documented and accessible, without wasting valuable time for customers. There is no need to travel to the bank branch, wait hours on the phone for a response, or try to understand letters full of unclear concepts. We make everything simpler and easier, our goal is for everyone to earn more money. Losing? It’s simply not putting it off with everyone’s solution and we put ours off. Developed manages to do it.”

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A team of Harvard researchers introduces TxAgent: an artificial intelligence agent for personalized care

 

TxAgent: A Breakthrough in Personalized Medical Care

The Zitnik Lab at Harvard University recently introduced TxAgent, an innovative artificial intelligence agent designed to revolutionize the therapeutic decision-making process. The development comes at a critical time as healthcare systems around the world seek ways to improve the efficiency of medical care and reduce medical errors.

Led by Prof. Marinka Zitnik, the team of researchers developed a system that combines advanced multi-step analysis and real-time dynamic access to huge medical databases. The system is able to assess complex drug interactions, identify potential contraindications, and suggest treatment strategies tailored to the specific patient based on their entire medical data.

“TxAgent represents a completely new approach to precision medicine,” explains Prof. Zitnik. “Instead of relying on standard protocols that are not always appropriate for every patient, our system analyzes each patient’s unique situation and offers a personalized treatment plan.”

TxAgent’s complex architecture integrates 211 different data analysis tools, ranging from traditional statistical models to advanced deep learning algorithms, all working in harmony to provide accurate and reliable treatment recommendations.

 

Advanced capabilities and technological innovation

One of TxAgent’s significant advantages is its ability to perform complex analyses of medical data in real time. The system can analyze a patient’s medical history, laboratory test results, genetic data, and information about previous treatments, and combine all of this with the latest scientific knowledge from global medical databases.

Unlike traditional clinical support systems, TxAgent goes beyond providing basic alerts, but offers in-depth, layered analysis:

  • Drug interaction analysis : The system identifies not only direct interactions between drugs, but also combined effects of several drugs together.
  • Genetic matching : TxAgent takes into account the patient’s genetic profile to predict drug efficacy and side effects.
  • Continuous learning : The system is constantly improving with each new case, updated in real time from new studies and clinical protocols.
  • Transparency in decision-making : Unlike “black box” systems, TxAgent provides clear explanations for each recommendation, which increases the medical team’s trust in the system.

Dr. James Chen, one of the senior researchers on the project, emphasizes: “One of the biggest challenges in medicine today is the enormous amount of information that doctors have to process. TxAgent helps filter the most relevant information and presents it clearly, allowing doctors to make more informed decisions in less time.”

 

The potential to improve treatment outcomes and patient safety

The clinical application of TxAgent holds significant potential for improving treatment outcomes and patient safety in several aspects:

  1. Reduce medical errors : According to studies, medication errors cause many unnecessary hospitalizations each year. TxAgent can reduce these errors by accurately identifying drug interactions and contraindications.
  2. Dose personalization : The system is able to recommend dosage adjustments based on many factors, including patient weight, kidney and liver function, medical history, and genetic profile.
  3. Improving treatment compliance : Through personalized recommendations, TxAgent can help reduce side effects and improve patients’ compliance with drug treatment.
  4. Streamlining decision-making processes : Making relevant information available in real time allows the medical team to make faster and more informed decisions.

In initial trials in a controlled clinical setting, TxAgent showed a 28% improvement in identifying potentially dangerous drug interactions, and a 34% improvement in tailoring treatment protocols to unique patient profiles.

 

Ethical challenges and questions

Despite the great promise, the development and implementation of systems like TxAgent also raises significant challenges:

  • Privacy and data security : The system requires access to sensitive medical information, which raises questions about data security and privacy.
  • Medical liability : Questions regarding liability in cases of error or system failure have not yet been fully resolved.
  • Integration into existing systems : Integrating the system into existing medical information systems poses a significant technical challenge.
  • Training of medical teams : The success of the system depends largely on the ability of medical teams to use it effectively.

Prof. Zitnik is aware of these challenges: “We take the ethical and practical questions seriously. TxAgent is intended to be a decision-support tool, not a substitute for medical judgment. The physician always remains the ultimate authority in the decision-making process.”

Summary: The Future of Personalized Medicine

TxAgent represents a significant step forward in the era of personalized medicine. The system demonstrates how artificial intelligence can be used as a powerful tool in the hands of medical staff, enabling more informed decisions tailored to the unique needs of each patient.

“Personalized medicine is not just a trend, but the future of medicine,” concludes Prof. Zitnik. “With tools like TxAgent, we are moving toward a world where medical care will be more precise, more efficient, and perfectly tailored to each patient.”

The research team is now planning larger clinical trials in collaboration with several hospitals across the United States, with the aim of testing the system’s effectiveness in a wide range of clinical scenarios and patient populations. If the trials are successful, TxAgent could be available to medical institutions within two to three years.

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