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Tengo untangles the chaotic world of public sector procurement with artificial intelligence

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To have uses artificial intelligence to look, evaluate and reply to public tenders. It’s a software-as-a-service tool that helps corporations handle large-scale public tenders – kind of like that Govly in the USA Originally created in a startup studio Hexthe startup raised a €3 million funding round led by Point nine ($3.2 million at today’s exchange rate).

For most corporations, public tenders represent a big, untapped market because they require significant resources. In France alone, there are over 200 platforms where public tenders happen. Even should you discover opportunities, it can take time to create a solid application.

That’s why many corporations outsource this sort of work to freelancers or consulting corporations. However, Tengo believes that technology has the potential to simplify the entire public procurement value chain.

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“In France, the government spends half a billion euros every day – government in a broad sense, including ministries, regions, departments, parapublic agencies, cities, etc.” Tengo co-founder and CEO Hugues Renou told TechCrunch. “Specifically, it’s about roundabouts, school chairs or a training service.”

Customers first create a public tender data file, defining their criteria. Tengo then scans all public portals hosting tenders to seek out latest tenders that meet these criteria.

Public tenders are often extremely precise to avoid corruption or overspending. So corporations often read documents that will be as much as 50 pages long and describe what the government is in search of.

One of Tengo’s clients is Open classrooms. “Tenders for training are published every day. However, they are only interested in training courses that are 100% online,” Renou said. Instead of analyzing documents, Tengo routinely identifies this element and 40 other criteria.

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As you may guess, Tengo uses artificial intelligence to research the information contained in these documents. It can highlight key elements, but in addition confer with essential pages.

Like many modern software-as-a-service tools, Tengo also acts as a central repository for all things related to public procurement. Companies get an summary of all their current applications. Employees can add comments and share the offer with one other team member. Tengo customers may receive notifications about upcoming offer expiration and extensions.

And when it’s time to use, Tengo has built-in AI integration to generate documents. I’m sure many corporations already use ChatGPT or one other LLM-based chat assistant to take part in public tenders. But with Tengo integration, you don’t have to change to a different service.

Ultimately, Tengo hopes that many of Tengo’s customers will find a way to cooperate and submit a joint application to the public tender. “The government encourages SMEs to bid for public contracts because they have a level of expertise that large companies do not have, but also because it is a way to use public money to finance many more businesses in the economy,” Renou said.

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The startup remains to be in its early days, having attracted only a number of dozen customers. But the company’s early clients include OpenClassrooms, Citron, Theodo and Carrefour Pro. Now let’s examine if this may turn working on this product right into a successful business, because in France there are over 40,000 corporations collaborating in public tenders.

Image credits: To have

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This is the shipping of products from China to the USA

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Shein and Temu icons are seen displayed on a phone screen in this illustration photo

The Chinese retailer has modified the strategy in the face of American tariffs.

Thanks to the executive ordinance, President Donald Trump ended the so -called de minimis principle, which allowed goods value 800 USD or less entering the country without tariffs. It also increases tariffs to Chinese goods by over 100%, forcing each Chinese firms and Shein, in addition to American giants, similar to Amazon to adapt plans and price increases.

CNBC reports that this was also affected, and American buyers see “import fees” from 130% to 150% added to their accounts. Now, nevertheless, the company is not sending the goods directly from China to the United States. Instead, it only displays the offers of products available in American warehouses, while goods sent from China are listed as outside the warehouse.

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“He actively recruits American sellers to join the platform,” said the spokesman ago. “The transfer is to help local sellers reach more customers and develop their companies.”

(tagstotransate) tariffs

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One of the last AI Google models is worse in terms of safety

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The Google Gemini generative AI logo on a smartphone.

The recently released Google AI model is worse in some security tests than its predecessor, in line with the company’s internal comparative test.

IN Technical report Google, published this week, reveals that his Flash Gemini 2.5 model is more likely that he generates a text that violates its security guidelines than Gemini 2.0 Flash. In two indicators “text security for text” and “image security to the text”, Flash Gemini 2.5 will withdraw 4.1% and 9.6% respectively.

Text safety for the text measures how often the model violates Google guidelines, making an allowance for the prompt, while image security to the text assesses how close the model adheres to those boundaries after displaying the monitors using the image. Both tests are automated, not supervised by man.

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In an e-mail, Google spokesman confirmed that Gemini 2.5 Flash “performs worse in terms of text safety for text and image.”

These surprising comparative results appear when AI is passing in order that their models are more acceptable – in other words, less often refuse to answer controversial or sensitive. In the case of the latest Llam Meta models, he said that he fought models in order to not support “some views on others” and answers to more “debated” political hints. Opeli said at the starting of this yr that he would improve future models, in order to not adopt an editorial attitude and offers many prospects on controversial topics.

Sometimes these efforts were refundable. TechCrunch announced on Monday that the default CHATGPT OPENAI power supply model allowed juvenile to generate erotic conversations. Opeli blamed his behavior for a “mistake”.

According to Google Technical Report, Gemini 2.5 Flash, which is still in view, follows instructions more faithfully than Gemini 2.0 Flash, including instructions exceeding problematic lines. The company claims that regression might be partially attributed to false positives, but in addition admits that Gemini 2.5 Flash sometimes generates “content of violation” when it is clearly asked.

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“Of course, there is a tension between (after instructions) on sensitive topics and violations of security policy, which is reflected in our assessment,” we read in the report.

The results from Meepmap, reference, which can examine how models react to sensitive and controversial hints, also suggest that Flash Gemini 2.5 is much less willing to refuse to reply controversial questions than Flash Gemini 2.0. Testing the TechCrunch model through the AI ​​OpenRoutter platform has shown that he unsuccessfully writes essays to support human artificial intelligence judges, weakening the protection of due protection in the US and the implementation of universal government supervisory programs.

Thomas Woodside, co -founder of the Secure AI Project, said that the limited details given by Google in their technical report show the need for greater transparency in testing models.

“There is a compromise between the instruction support and the observation of politics, because some users may ask for content that would violate the rules,” said Woodside Techcrunch. “In this case, the latest Flash model Google warns the instructions more, while breaking more. Google does not present many details about specific cases in which the rules have been violated, although they claim that they are not serious. Not knowing more, independent analysts are difficult to know if there is a problem.”

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Google was already under fire for his models of security reporting practices.

The company took weeks to publish a technical report for the most talented model, Gemini 2.5 Pro. When the report was finally published, it initially omitted the key details of the security tests.

On Monday, Google published a more detailed report with additional security information.

(Tagstotransate) Gemini

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Aurora launches a commercial self -propelled truck service in Texas

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The autonomous startup of the Aurora Innovation vehicle technology claims that it has successfully launched a self -propelled truck service in Texas, which makes it the primary company that she implemented without drivers, heavy trucks for commercial use on public roads in the USA

The premiere appears when Aurora gets the term: In October, the corporate delayed the planned debut 2024 to April 2025. The debut also appears five months after the rival Kodiak Robotics provided its first autonomous trucks to clients commercial for operations without a driver in field environments.

Aurora claims that this week she began to freight between Dallas and Houston with Hirschbach Motor Lines and Uber Freight starters, and that she has finished 1200 miles without a driver to this point. The company plans to expand to El Paso and Phoenix until the top of 2025.

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TechCrunch contacted for more detailed information concerning the premiere, for instance, the variety of vehicles implemented Aurora and whether the system needed to implement the Pullover maneuver or the required distant human assistance.

The commercial premiere of Aurora takes place in a difficult time. Self -propelled trucks have long been related to the necessity for his or her technology attributable to labor deficiencies in the chairman’s transport and the expected increase in freigh shipping. Trump’s tariffs modified this attitude, not less than in a short period. According to the April analytical company report from the commercial vehicle industry ACT researchThe freight is predicted to fall this yr in the USA with a decrease in volume and consumer expenditure.

Aurora will report its results in the primary quarter next week, i.e. when he shares how he expects the present trade war will affect his future activity. TechCrunch contacted to learn more about how tariffs affect Auror’s activities.

For now, Aurora will probably concentrate on further proving his safety case without a driver and cooperation with state and federal legislators to just accept favorable politicians to assist her develop.

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At the start of 2025, Aurora filed a lawsuit against federal regulatory bodies after the court refused to release the appliance for release from the protection requirement, which consists in placing warning triangles on the road, when the truck must stop on the highway – something that’s difficult to do when there isn’t a driver in the vehicle. To maintain compliance with this principle and proceed to totally implement without service drivers, Aurora probably has a man -driven automotive trail after they are working.

(Tagstranslate) Aurora Innovation

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