Technology

Writer unveils ‘AI HQ’ platform, betting on agents to transform enterprise work


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Enterprise Ai Company, the writer, has revealed a new platform today claiming that it will finally help companies bridge the gap between the theoretical capabilities of the spontaneous organization and the real results. The product, called “AI HQ”, is a major shift towards independent artificial intelligence systems that can carry out complex workflow tasks across institutions.

“This is not another train of noise, but it is a tremendous change to the institution’s program,” May Habib, CEO of the founder and co -founder of the writer at a press conference announced by the product. “The vast majority of the Foundation did not get meaningful results of artificial intelligence, and two years have passed. There was no such gap between what technology could be and what are the results of the institution.”

AI HQ is the writer’s answer to this problem – a platform for building, activating and supervising the artificial “agents” that can perform the sequence of tasks that traditionally require human intervention. These agents can make decisions, mind through problems, and take action via various systems with little human oversight.

How artificial intelligence agents go beyond Chatbots to provide a real commercial value

This advertisement comes because many companies re -evaluate artificial intelligence strategies. According to HABIB, most artificial intelligence applications have failed to provide a great value, as companies are struggling to overcome basic artificial intelligence.

Habib said: “The drawing of the process of the process is the new scandalous engineering,” which highlights how the company’s approach has evolved beyond merely formulating the correct text claims to the design of the entire workflow for artificial intelligence systems.

AI HQ consists of three main ingredients: a development environment called Agent Builder, as it creates cooperative and commercial technology teams; Home Home, which provides access to more than 100 agents that have been established in advance for specific industries and functions; And note tools to monitor and behavior of the agent on a large scale.

During the display of products, the author’s executive officials showed how customers already use these technologies. In one example, the investment management company uses the author’s agents to create fund reports automatically and personal market comments by withdrawing data from SNOWFLAKE and SEC and actual time search operations.

Another demonstration has shown a marketing work where the agent can a strategic summary analysis, create a project in the adobe interface, create content, find or create images, and prepare materials for legal review.

AI ENTERPRISE already works: How independent agents treat the author complex work tasks

The writer’s axis reflects the agent based on the agent. While many companies initially focused on using large language models to generate text and chat, companies are increasingly exploring how Amnesty International can automate complex operations.

“It will be ten percent of the number of employees sufficient,” Habib told Forbes in a recent interview about the effect of the possible workforce of the agent. This dramatic confirmation emphasizes the transformative capabilities – and a possible disruption – may bring these techniques to work work.

Anna Griffin, head of the marketing organization at ComMVault Commvau, spoke to the writer’s agent technology, during the press conference on the value of delivery systems that previously.

“What if I can connect our Salesforce, gains, improved? Griffin said. Its advice to others: “Think about the most difficult problem that your industry faces, and start thinking about how to solve Agency.”

The future of learning from artificial intelligence: Remember the models of the author self -evolution errors and learning without re -training

The event was also distinguished by a presentation from Waseem Alshikh, the co-founder of the writer and CTO, who unveiled research in “self-evolving models”-artificial intelligence systems that can learn from their mistakes over time without additional training.

“If we expect artificial intelligence to act more like a human being, we need to learn more like a person,” the sheikh explained. He explained how traditional artificial intelligence models make the same mistakes over and over again when facing the maze challenge, while advanced advanced models remember previous failures and find better solutions.

“This unique architecture means that over time, where the model is used, it acquires knowledge – a model that becomes more intelligent whenever it interacts with it,” said alshik. The writer expects to have advanced models in the pilot by the end of the year.

The internal evaluation of the writer of $ 1.9 billion: How the AI’s adoption leads explosive growth

The aggressive expansion of the writer comes after collecting $ 200 million in funding from the C series last November, which is estimated at $ 1.9 billion. The financing round was led by Premji Invest, Radial Ventures, iconiq Growth, with the participation of major institutions operators, including salesforce veneters, Adobe Ventures and IBM Ventures.

The company has witnessed impressive growth, as the net retention rate was reported by 160 %, which means that customers usually have 60 % contracts on average after the initial adoption. According to the FORBES report, which was published today, some customers have grown from the initial contracts ranging from 200,000-300,000 dollars to spend about one million dollars each.

The writer’s approach is different from competitors such as Openai and Anthropic, which has sparked billions of dollars but focuses more on developing artificial intelligence models for general purposes. Instead, the author developed his own models – called Palmyra – especially designed for institutions.

“We have trained our own models even though everyone advised them,” said Alshikh Forbes. This strategy allowed the writer to create more secure artificial intelligence to publish institutions, as customer data is recovered from custom servers and is not used to train models, which reduces concerns about leakage of sensitive information.

Mobility in the AI ​​Enterprise market 114 billion dollars: opportunities and upcoming obstacles

The writer’s ambitions face obstacles in a competitive scene. The AI ​​Enterprise-Software Market is expected to grow from $ 58 billion to $ 114 billion by 2027-intense competition from well-known technology giants and well-funded startups.

Paul Deirwal, Vice president of Amnesty International in Marriott, who appeared at the writer’s press conference, shared advice for institutions that quickly convey this advanced field: “Focusing on less opportunities than the highest value instead of chasing every possibility.”

This advertisement also comes amid increasing concerns about the impact of artificial intelligence on jobs. While Habib admitted that artificial intelligence would change the work significantly, she painted an optimistic picture of the transition.

She said: “Your people are effective in redesigning your operations to be indigenous and forming how the future of work appears.” “We believe that very soon, on a five to 10 years, we will not do as much as we will build artificial intelligence that is doing. This will create new and exciting roles, newly related new functions that are interesting and rewarding.”

From the software seller to the innovation partner: the writer’s vision to convert the original institutions AI

Since the writer puts himself at the forefront of Enterprise Ai, Habib stressed that the company sees itself more than just a program seller.

“We are not a program seller here. We see ourselves more. We are your innovation partners.” “If you want to rebuild your company to be an original AI, if you want to be part of the most important turning of institutions, perhaps at all, go to subscribe to Beta the writer at the present time.

Builder tools and note tools are currently in the experimental version, with a general availability later this spring, while the home and the library of the agents are the users available to all customers who start today.


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2025-04-10 19:49:00

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