Alomana

3.5 months ➡️ 19 seconds On average, it takes 3.5 months for an AI project to go into production. Today, you go live in a few minutes. With Alo.

Very proud of our research team at Alomana. Reliability of AI systems is the missing link for real enterprise AI adoption. AI systems that can perform tasks and workflows while you do something more valuable, creative, strategic. Beyond AI chatbots. Today, we published research behind part of that infrastructure. The problem: AI models fail silently. A model can get the answer right and still break your supply chain. In our research, AI models reached 85% accuracy and 0% usable output. Correct isn't enough. Usable is the secret. AloLab is an iterative AI optimizer that observes how a model fails and evolves it to eliminate the failure. No fine-tuning, no architecture changes, near-identical inference speed. Results: ➡️ 95.2% output accuracy on GPT-4o ➡️ 84–87% on open-weight small models ➡️ Starting from 0% This is the infrastructure that makes AI deployable at enterprise scale. And it's why our partners, from financial services to large industrial operators, trust us with their most critical workflows: the output of their agents is repeatable, scalable, and deterministic. We don't sell AI that guesses. We offer AI that works. Paper in the comments. Amazing work Cosimo Galeone, Minsu Park, Daniele Ligorio 📄 "When Correct Isn't Usable: Improving Structured Output Reliability in Small Language Models" - arXiv 2605.02363 #AIResearch #continuallearning #AIagents #selfevolvingAI

The Lab at work. Yesterday "Inkling" by Thinking Machines Lab was released. Mira Murati's Lab. A few months ago, we were among the first teams selected to test their training hub. We loved the direction. Inkling is the best frontier open-weight model released in the west. It performs like Claude-sonnet-4.6. Fully open source. You can download it and use it. Aligned with our vision. A good reminder to own your AI. // Yevhenii • Marco • Minsu • Cosimo • Daniele • Alomana

$1M in fraud prevented completely automatically. 🛡️ When monitoring over $5B+ in transactions, manual review processes simply cannot keep pace with risk. Traditional risk mitigation usually introduces massive friction, slowing down onboarding, draining analyst hours, and tanking conversion rates. Alomana proves that security does not have to come at the expense of growth. Our platform delivers elite protection while actively accelerating business performance: 3.4x Increase in customer conversion rates by eliminating manual verification loops. 80% Time Saved on complex transaction analysis, freeing teams from repetitive auditing. 5x Boost in overall operational efficiency across compliance departments. This is why leading institutions across Europe, including Mediobanca, CIMD, Dussmann, CDP and EFG, trust our operating layer to protect their transactional workflows. We deliver enterprise-grade risk management that runs silently and autonomously in the background, keeping 100% of your data strictly within European residency. Stop choosing between bulletproof security and a seamless customer experience. 👉 See how Alomana secures and scales your transactional workflows: www.alomana.com #FinTech #FraudPrevention #EnterpriseSaaS #OperationalEfficiency #DataSovereignty #Alomana #AIAutomation

Earlier this month, we published research showing a small open source AI model can beat GPT-4o on structured output tasks. Today anyone can use it. AloLab is now open source. The optimization loop that turns small, private models into specialists. Turning "correct" into "usable" in production, that cost a fraction to run. We believe AI for critical use cases should be yours. Now you can own your AI. Your data. Your model. AloLab is now free and open source. Link in comments 🔗 #OpenSource #AI #LLM #AloLab #Alomana #smallmodels #AIagents