Blog
What we've learned building AI systems for real work.
Human-in-the-loop by design
In a law firm, "mostly right" isn't good enough. The trick isn't removing the human, it's placing them where they add the most value.
Ativos AIAI for quant research
A quant team's edge is the speed and rigor of its research loop. When that loop lives in scattered notebooks, it's slow and irreproducible.
Ativos AIEvals are the product
Everyone can build a demo. Most AI projects never ship because nobody can answer "is it actually good enough?" Evals are how you answer it.
Ativos AIRunning AI fully on-prem
Some organizations can't send data to anyone's cloud, not for training, not for inference. We built an agent for that constraint. Here's what it takes.
Ativos AIAgents that act, not just chat
A chatbot answers. An agent acts: it plans, calls tools, observes, and tries again until the job is done.
Ativos AITeaching kids AI, safely
Kids will grow up alongside AI the way earlier generations grew up alongside the internet. The question isn't whether they learn it, it's how.
Ativos AI