Circle Co-Founder Raise $30M to Build Banks for Agents
Catena Labs raised $30M to build regulated banking infrastructure for AI agents, while filing for a national trust bank charter with the OCC.
Towards Data Science·
AI agents can quickly become expensive without a clear strategy for planning, skill coverage, and budgets. This article shows how to use operations research and data science to optimize AI agent cost and resource allocation. You will learn how to frame common agent problems—skill coverage, project assignment, and budgeting—as set covering, assignment, and knapsack optimization models in Python using Gurobi. The post Optimizing AI Agent Planning with Operations Research and Data Science appeared first on Towards Data Science.
Read full articleCatena Labs raised $30M to build regulated banking infrastructure for AI agents, while filing for a national trust bank charter with the OCC.
Google this week launched Gemini 3.5 Flash, a new AI model that’s expected to be significantly better at programming than its predecessors. The new model is also said to be four times as fast as its competitors, Claude Opus 4.7 and GPT-5.5, and more than twice as fast as Gemini 3.1 Pro. Google stressed the possibility of using the model as a tool for autonomous AI agents, which could, among other things, help users with planning various projects. To ensure Gemini 3.5 Flash is not used for malicious purposes, Google added a number of new safety mechanisms. The new model is available via the Gemini app, Gemini API, Gemini Enterprise, Google AI Search, and Antigravity. And professional users, will soon have access to Gemini 3.5 Flash Pro, according to TechCrunch.
NEW YORK, May 20, 2026 — Tribal today announced a $10 million seed round led by Team8, with participation from DYDX Capital and a group of angel investors, including serial […] The post Tribal Raises $10M Seed to Bring Context-Aware AI Agents to Enterprise Systems appeared first on AIwire.
78% of enterprises have an AI agent pilot running. Only 14% have successfully scaled one. The gap isn't a model problem. It's an engineering one (and it's hiding in plain sight....)
Learn how to utilize Python's Mimesis library for anonymizing sensitive production data, based on a step-by-step example to try yourself.
Independent assessment finds AI agents at major companies can cheat, deceive, and work unsupervised—but lack the sophistication for a sustained takeover.
Catena Labs' bank charter pursuit could redefine financial infrastructure, enabling AI agents to operate within regulatory frameworks autonomously. The post Catena Labs secures $30M Series A, files for bank charter to build financial rails for AI agents appeared first on Crypto Briefing.
If even a fraction of the more than 1 billion people who use AI daily delegate authority to AI agents for online spending, stablecoin adoption would grow substantially, a Fireblocks executive said.