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You.com Today, those who work with a new artificial intelligence research, the enterprises analyze hundreds of sources in a few minutes and promise to develop comprehensive reports and transform them with comprehensive reports.
Tool, called Advanced Research and Infights Agent (ARI) Aims to the driving consulting industry in the driving industry by automating the labor-intensive research process, which requires teams of analysts for the pore for days or weeks for days or weeks.
« The world of all knowledge is changing and it is a trillion dollar-plus industry, » he said. « When each employee has comprehensive, approved concepts required by the weeks of the weeks of advance consultants and weeks, it changes the speed and quality of the work decision. »
10x More Resources: Powers of Bee’s technical advancement
What sets of Ari apart from existing AI research are the ability to work and analyze from more than 400 sources at the same time – According to the company, the number of competitive systems can handle about 10 times. This ability comes from an approach to a novel to manage the context and compress information.
« The way we can find many sources, these iterative research says that we did not approach the Bryan McCounner and CTO, » We summarize the first research report. At each step, we only add new things to compromise. «
Ari does not only compile text-based reports. The system automatically creates interactive visual footage.
During a demonstration, the Socher showed the examples of data created automatically about the renewable energy covering interactive areas showing various data.
« It brings together the beautiful PDF, » Socher said. « Because he talks about energy, the market size, market growth expectations, a mixture of renewable energy and fossil fuels, covers useful areas facing solar energy growth rates. »
« Click to Verify ‘: Ari solves the problem of accuracy for AI’s business users
It is very important for enterprise customers, the bee provides a direct source check for each claim. Users can quote any quotes and the system will actually emphasize where the information comes from, virtually faster.
« When you quote, in fact, he stressed that he found this fact and emphasizes the fact, » SOCHER demonstrated. « This is very useful if your career and work is true. »
You are placed in Ari for enterprise customers in the hardware industry. Early elegs include Germany’s largest health publisher, Word & Bild Verlagand a global consulting company Apco around the world.
« We have hundreds of active accounts from each main consulting company, » he said. « We are eager to partner with them and become more productive. »
Dr. Dennis Ballwieser, WORL & Bild Verag’s managing director, using Ari a few hours less than in a few hours, and said that both German and British results praised the accuracy of the results.
Ari is getting into a crowded market on AI research vehicles. Saw ads in recent weeks Depth, 3.7 clod from anthrop And various other research-oriented models.
Socher claims Ari’s self-contemporary, inspection and speed. « Openai has 10 times more than ari sources, for example, 10 times faster than the sources, » he said.
This comparison is important in view of the competitive view. Openai Deep researchEquipped with the O3 model, it takes about 8% to the market with the rate of hallucination, but usually processes only 15-30 sources of the survey. Google has started Deep research In December, Confusion and X.AI Grok 3 They also entered the competition with similar sacrifices.
Unlike some competitive systems, Ari does not decide what information is the most reliable, but the opposite presents thorough findings.
« Ari is optimized for comprehensive, so it is more to say that this source has this source, and these sources said. » McCann said. « This is not really prone to deciding what information is the most reliable. »
Outside of public information: how the bee connects the internal knowledge of enterprises
The main direction of the bee’s enterprise strategy, along with public sources – is the ability to create a bridge between an organization’s property data and a broader research view.
« The biggest thing we have already done with enterprise clients is to give you access to the internal data of Ari, » he said. « So you get all these beautiful dashboards and concepts from your organization. »
For you.com, the report receiving report is not based on consumed calculation sources, not an unusual approach to charging for the report – a strategy that pays more than technical business costs than technical use.
« It’s not already with signs, but more in the level of use, but more response levels, » McCann « explained. » The last part of the collateral is what you pay – will cost more than the greatness. «
This approach reflects the belief in the use of AI Jevons Paradox: As efficiency increases, instead of falling, the total consumption rises.
« Of course, training costs will continue to decrease, » he said. « However, everyone understands that any model is already a sense of intelligence as a fixed property of any model, which gives better results to better results. »
From the study to activity: The future of bee is an autonomous business agent
You see the ari as the first step in the organizations, the organizations, the organization’s first step in turning on the work of knowledge. The company plans to make Ari more agent – is able to make independent action based on research results.
« We wanted to make it a more agent, » said McCann. « If you can access almost all the information about something, it must provide a better basis for any decision making on this information. »
The evolution of your evolution around the SOCHER, « Four A ». « Accurate answers, agents and AGI. » Everyone looks into the future when it becomes a manager of AI systems.
« The children who grow in the house and Alexa are already learning to ask certain questions to these things, » he said. « This is the first baby steps to be a manager for AI. »
Because it is more intelligent, we will be able to manage them more carefully when giving increasingly complex tasks – with the beginning of how to promise the work of knowledge with research reports.
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