Animas editorial · Riga
News.
Events, product updates and expert perspectives on the practical use of artificial intelligence.
Tender: from finding a tender to a reasoned decision on participation
Winning a tender starts even before the submission of the offer. First, the right opportunity must be found, compliance must be assessed, and the requirements and market situation must be understood. Public procurement information is fragmented, and companies spend hours answering one...
Read article8 billion euros and only 4% of companies: what public procurement data reveals
The value of public procurement in Latvia last year was 8 billion euros. However, less than 4% of Latvian companies participate in procurements, and in every fourth procurement, there is only one applicant.
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Diabetes assistant: one of the first three projects in the Latvian MI regulatory sandbox
The Diabetes Assistant developed by ANIMAS is one of three projects selected by the Artificial Intelligence Center (MIC) from 10 submissions for the first special regulatory environment for the development of AI systems. At the beginning of August, MIC adopted the first administrative acts that…
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Invoice from one sentence: rekini.animas.lv
The client is already waiting for the invoice, but you are still looking for their details. Many self-employed individuals, small businesses, and service providers still issue invoices using Excel or Word, or in systems that take more time to use than the invoice itself.
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When we automate for fun: pilsetassvetki.lv and hockey prediction tool
In everyday life, we create serious automation tools. But sometimes you also need something simply for fun.
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MILA catalog: Latvian AI solutions in one place
MILA – The Artificial Intelligence Association of Latvia – has launched a new website and a catalog of Latvian AI solutions. The technological development of the platform was carried out by ANIMAS.
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Company360: public company data in one place and for free
Before making a decision about collaboration, competition, or the market, we all do the same thing: we open several pages, look for credentials, financial data, employee counts, piece together fragments in our minds, and hope that the picture is accurate enough. Often it is not – not because...
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