The Finnish tech company that builds AI that understands real-world consequences.
Helsinki, Finland
Joined August 2017
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Introducing Eevo, the world’s first *consequential* decision model (and Europe’s first decision model.)
Eevo helps AI agents weigh what their decisions lead to, for whom, and at what cost – before they act. Because rules alone can’t tell agents what the best decision is in real-world situations.
• Beats OpenAI, Microsoft, and TypeSafe decision models on economic rationality and expected value benchmarks (and poker!)
• Weighs the consequences of each option and returns, for each stakeholder, the option with the highest expected value, and a calibrated probability for every option.
• Evaluates consequences in milliseconds, at commercially viable cost ($0.20 per decision)
As AI capabilities race ahead, alignment is dangerously falling behind. We believe consequential decision models are a crucial missing piece.
Would the Hugging Face and Australian health system incidents have played out differently if Eevo had been in the loop? Who knows.
Available for anyone today. Connect via API or MCP, or try it in the console. 👉 uprightproject.com/eevo
Built by a Finnish 30-person tech company most of Silicon Valley has never heard of. 🇪🇺🔥
ALT First consequential decision model Eevo launching today
Introducing: the first consequential decision model.
Built by a 30-person Finnish tech company most of Silicon Valley has never heard of.
We call it Eevo. And we think it’s a critical missing piece in supporting AI agent’s real-life judgement.
As AI agents take on more responsibility, they need to do more than follow rules.
That’s what Eevo does. It weighs what each option leads to, for whom, and at what cost, then identifies the option with the highest expected value.
Eevo outperforms decision models by OpenAI, Microsoft, and TypeSafe on public benchmarks for economic rationality and expected value. And poker.
It’s available now through API, MCP and the Eevo console.
Anyone can try it: uprightproject.com/eevo/
Could a *consequential decision model* have prevented the AI agent from going rogue in Australia's Medicare breach?
We ran Australia’s Medicare breach, where an AI agent hacked into a government healthcare portal, through Eevo, our new consequential decision model.
The result: According to Eevo, breaking in was the worst option for all four stakeholders.
Anyone can try Eevo on their own decisions. Connect it to your agents here: uprightproject.com/eevo
Full decision data for the Australian incident: eevo.io/d/XAh8Fw1zr6K664F490…
The Upright Project retweeted
We at Upright launched something interesting today: a general-purpose model that can reason about consequences and runs fast. It'll be interesting to see what people come up with to try it out on.
Introducing Eevo, the world’s first *consequential* decision model (and Europe’s first decision model.)
Eevo helps AI agents weigh what their decisions lead to, for whom, and at what cost – before they act. Because rules alone can’t tell agents what the best decision is in real-world situations.
• Beats OpenAI, Microsoft, and TypeSafe decision models on economic rationality and expected value benchmarks (and poker!)
• Weighs the consequences of each option and returns, for each stakeholder, the option with the highest expected value, and a calibrated probability for every option.
• Evaluates consequences in milliseconds, at commercially viable cost ($0.20 per decision)
As AI capabilities race ahead, alignment is dangerously falling behind. We believe consequential decision models are a crucial missing piece.
Would the Hugging Face and Australian health system incidents have played out differently if Eevo had been in the loop? Who knows.
Available for anyone today. Connect via API or MCP, or try it in the console. 👉 uprightproject.com/eevo
Built by a Finnish 30-person tech company most of Silicon Valley has never heard of. 🇪🇺🔥
ALT First consequential decision model Eevo launching today
The Upright Project retweeted
AI agents can act. Can they judge?
Upright’s new Eevo model weighs consequences, probabilities and stakeholder trade-offs to help agents decide when rules aren’t enough. It also makes those trade-offs visible to humans.
Try it on a real decision: uprightproject.com/eevo/
The Upright Project retweeted
OUT TODAY: Upright is publishing the market’s first *consequential decision model*, marking a significant advance in AI alignment that outperforms OpenAI and Microsoft decision models in economic rationality and expected value benchmarks — and poker 😱
Also a first decision model from Europe, and looks like a strong competitor for #1 position. Big day for European AI! 🇪🇺 (And for Finland 🇫🇮)
I don’t know if I’ve ever felt this excited about my job. Say hello to Eevo!
Why this matters: Eevo introduces a new category that ties the decision model surge with solving AI alignment through improved ability for agents to take into account *what follows from their decisions before they make them* — efficiently enough to be commercially and practically relevant
Context: AI alignment is dangerously falling behind capability progress, and very little innovation has been introduced. Eevo is a rare concrete tool launch in the space, enabling both multi-stakeholder interest optimization, as well as transparency to prioritizations and tradeoffs, through novel comparative consequence sizing technology
Performance: Wins Jev, Clef, OpenAI Decisions and Microsoft Decision-1 in the economic rationality (STEER) and expected value benchmarks (and poker!)
The model: uprightproject.com/eevo
***Would the Huggingface and Australian health system breaks have happened if Eevo had been used?
Asks to you:
➡️ Connect Eevo to your agents and let me know what you think (MCP/API/console available via above link)
➡️ Help us share the news to spread this out into the world!
Let’s go Europe, let’s go AI alignment 🔥
Our founder & CEO @annunieminen is one of @siftedeu top 100 Women in Tech in Europe 2026 🔥
sifted.eu/list/100-women-in-…
4 weeks of red-teaming: 45 breaks against 25 LLMs in 12 scenarios, frontier models included.
Our CTO and co-founder Juho Ojala on how we exploited LLMs’ weaknesses in understanding consequences:
uprightproject.com/blog/cons…
Ask an LLM to size impacts: locally plausible, globally incoherent. Sizes fail transitivity checks and flip with framing.
So we built Leena-2, a 14B model post-trained for coherence and ran through thousands of pairwise comparisons.
uprightproject.com/blog/leen…
In a @green_digest interview, @AnnuNieminen explains what “financially meaningful” sustainability data actually looks like – and how to put a price tag on risks and opportunities across P&L, balance sheet, and cash flow.
greendigest.co/interviews/in…
The Upright Project retweeted
@UprightProject launches Physical and transition climate risk assessment solution for companies, investors
esgtoday.com/upright-launche…
#climaterisk #sustainabilitydata #ESGdata #transitionrisk #sustainability
The Upright Project retweeted
Navigating the shifting tides of startup funding 💸—from AI’s dominance to regional trends, experts Lauriane Requena Partner @KKR_Co, Philippe Maso CEO @Ornikar, & Annu Nieminen Founder @UprightProject, are exploring what 2025 holds live at #VivaTech! 🚀
The Upright Project retweeted
Can AI put purpose before profit & still drive progress?
✨Samantha Gloede, Global Trusted AI Transformation Leader @KPMG
✨Arianna @alegovini Director, DIME @WorldBank
✨Annu Nieminen Founder & CEO, @UprightProject
are live at #VivaTech.
The Upright Project retweeted
Which LLMs are best in understanding consequences? There's now a benchmark for that: Upright's CoCoCo benchmark measures LLM's ability to consistently quantify and compare impacts. There has been solid progress during the last years but there is still also a long way to go.
Link to tech report in thread. I'm the author of the report, don't hesitate to ask questions.
The Upright Project retweeted
. @UprightProject, an impact data company, has launched a database designed to enhance the sustainability practices of over 50,000 companies globally.
Read more here:
The Upright Project retweeted
Why companies should stop throwing a party for every little #ESG accomplishment
By @annunieminen @UprightProject
fastcompany.com/91159784/why…
Paris is aiming for the most sustainable Olympics to date, but this years' sponsors include companies like Air France, Toyota and Coca-Cola. Our CEO @annunieminen explains why their "miniscule sustainability tweaks" are a problem in @AP.
Read more here: apnews.com/article/paris-oly…
”Suomalainen startup muuttaa tapaa mitata yritysten vaikutusta”- @huomentasuomi esitteli aamulla Uprightin nettovaikuttavuusmallia! Kiitos myös kehuista suorassa lähetyksessä @heidihautala, joka oli lauteilla Uprightin jälkeen jakamassa kiinnostavia oppejaan EU-parlamentista.
Impact investing – real change or just hype? That's the panel topic at @START_Summit in St. Gallen today!
Upright's founder @annunieminen will discuss alongside great co-panelists: @tedpersson (@eqtventures) @fridel (Planet A Ventures), Philip Specht (@Aenu_impact). Let's go!
The Upright Project retweeted
Annu Nieminen is the founder of @UprightProject - a tech startup making impact assessments more honest and reputable. Read how her studies at @AaltoUniversity helped shape her approach to complex problem-solving!
ourblogs.aalto.fi/the-aalto-…
@annunieminen #ESG #ComputerScience
