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

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.
“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.
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.
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.
Technology
The latest model AI Google Gemma can work on phones

It grows “open” AI Google, Gemma, grows.
While Google I/O 2025 On Tuesday, Google removed Gemma 3N compresses, a model designed for “liquid” on phones, laptops and tablets. According to Google, available in a preview starting on Tuesday, Gemma 3N can support sound, text, paintings and flicks.
Models efficient enough to operate in offline mode and without the necessity to calculate within the cloud have gained popularity within the AI community lately. They will not be only cheaper to make use of than large models, but they keep privacy, eliminating the necessity to send data to a distant data center.
During the speech to I/O product manager, Gemma Gus Martins said that GEMMA 3N can work on devices with lower than 2 GB of RAM. “Gemma 3N shares the same architecture as Gemini Nano, and is also designed for incredible performance,” he added.
In addition to Gemma 3N, Google releases Medgemma through the AI developer foundation program. According to Medgemma, it’s essentially the most talented model to research text and health -related images.
“Medgemma (IS) OUR (…) A collection of open models to understand the text and multimodal image (health),” said Martins. “Medgemma works great in various imaging and text applications, thanks to which developers (…) could adapt the models to their own health applications.”
Also on the horizon there may be SignGEMMA, an open model for signaling sign language right into a spoken language. Google claims that Signgemma will allow programmers to create recent applications and integration for users of deaf and hard.
“SIGNGEMMA is a new family of models trained to translate sign language into a spoken text, but preferably in the American sign and English,” said Martins. “This is the most talented model of understanding sign language in history and we are looking forward to you-programmers, deaf and hard communities-to take this base and build with it.”
It is value noting that Gemma has been criticized for non -standard, non -standard license conditions, which in accordance with some developers adopted models with a dangerous proposal. However, this didn’t discourage programmers from downloading Gemma models tens of tens of millions of times.
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(Tagstransate) gemma
Technology
Trump to sign a criminalizing account of porn revenge and clear deep cabinets

President Donald Trump is predicted to sign the act on Take It Down, a bilateral law that introduces more severe punishments for distributing clear images, including deep wardrobes and pornography of revenge.
The Act criminalizes the publication of such photos, regardless of whether or not they are authentic or generated AI. Whoever publishes photos or videos can face penalty, including a advantageous, deprivation of liberty and restitution.
According to the brand new law, media firms and web platforms must remove such materials inside 48 hours of termination of the victim. Platforms must also take steps to remove the duplicate content.
Many states have already banned clear sexual desems and pornography of revenge, but for the primary time federal regulatory authorities will enter to impose restrictions on web firms.
The first lady Melania Trump lobbyed for the law, which was sponsored by the senators Ted Cruz (R-TEXAS) and Amy Klobuchar (d-minn.). Cruz said he inspired him to act after hearing that Snapchat for nearly a 12 months refused to remove a deep displacement of a 14-year-old girl.
Proponents of freedom of speech and a group of digital rights aroused concerns, saying that the law is Too wide And it will probably lead to censorship of legal photos, similar to legal pornography, in addition to government critics.
(Tagstransate) AI
Technology
Microsoft Nadella sata chooses chatbots on the podcasts

While the general director of Microsoft, Satya Nadella, says that he likes podcasts, perhaps he didn’t take heed to them anymore.
That the treat is approaching at the end longer profile Bloomberg NadellaFocusing on the strategy of artificial intelligence Microsoft and its complicated relations with Opeli. To illustrate how much she uses Copilot’s AI assistant in her day by day life, Nadella said that as a substitute of listening to podcasts, she now sends transcription to Copilot, after which talks to Copilot with the content when driving to the office.
In addition, Nadella – who jokingly described her work as a “E -Mail driver” – said that it consists of a minimum of 10 custom agents developed in Copilot Studio to sum up E -Mailes and news, preparing for meetings and performing other tasks in the office.
It seems that AI is already transforming Microsoft in a more significant way, and programmers supposedly the most difficult hit in the company’s last dismissals, shortly after Nadella stated that the 30% of the company’s code was written by AI.
(Tagstotransate) microsoft
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