We are racing to shape our AI future through a new Office of AI and national standards. Yet billions flow into foreign-led data centres while we offer little support for local models or sovereign compute. Without stronger action we risk becoming high-quality hosts rather than true leaders.
Meta's 'Iris' chip enters production in September and OpenAI's 'Jalapeño' targets 50% lower inference costs. The great AI chip rush is reshaping the global supply chain and redefining what AI products are viable to build.
Progress Software disabled access to ShareFile accounts using on-premises Storage Zone Controllers due to a credible security threat, while a massive campaign dubbed FortiBleed has compromised roughly half of all internet-facing Fortinet firewalls globally.
Auquan is reshaping financial services with AI agents that automate research, risk, and ESG reporting. Trusted by top global institutions, its platform removes manual work so teams can focus on strategy, not formatting.
Wall Street’s financial giants, including banks, hedge funds and private equity firms, are embracing generative AI to eliminate tedious tasks and boost efficiency. Sparked by OpenAI’s ChatGPT, the industry has shifted from cautious trials to widespread adoption, though some remain wary of the technology’s ambitious claims. One such innovator, Auquan, brings a creative approach and powerful automation, deploying AI agents to transform operations for clients like UBS and Blue Owl Capital.
Founded in 2018 by Chandini Jain, Auquan builds AI agents that automate highly structured and time-intensive work in financial services. Its mission is to remove the manual effort behind data collection, analysis, and reporting—tasks typically handled by junior analysts or associates.
Since launching its platform in late 2023, Auquan’s product has enabled investment, risk, compliance, and sustainability teams to automate the creation of documents such as investment committee memos, due diligence reports, and internal pitch presentations. Instead of writing prompts or manually configuring workflows, users simply state what they want to generate and show an example of the final format. The system then breaks down the process, pulls relevant data, and produces a ready-to-review report.
As Auquan noted in a recent post on X, “Auquan’s AI agents know exactly what to ask and where to look—completing the entire process autonomously.”
Financial work shouldn't require hundreds of manual AI prompts. Auquan's AI agents know exactly what to ask and where to look—completing the entire process autonomously. That's why 40% of top global firms trust us. No more grunt work, just outcomes.
— Auquan AI (@auquan_) March 28, 2025
https://t.co/d9DxTSYviU pic.twitter.com/2vJSTasZo9
Behind the scenes, Auquan’s platform uses a system the company calls an “agent super orchestrator.” This technology coordinates smaller task-specific AI agents to complete each step of a workflow, from identifying key fields and extracting vendor data to writing and formatting content to match client-specific templates. Reports are delivered in the desired interface, like a Google Doc or PowerPoint deck, complete with corporate branding and formatting.
As Auquan described in a recent LinkedIn post,
“Most AI tools make you write dozens of prompts, tweak parameters endlessly, and manually piece together outputs… We did something different.”
Their agents handle the entire process autonomously, structuring steps, asking the right questions, and pulling the right data.
In 2025, the company released two major additions to its platform: the Sustainability Agent, which automates ESG research and reporting from over two million global sources, and the Risk Agent, which monitors portfolios and flags operational, regulatory, and reputational risks in real time.
Trusted by 40% of the top 50 global financial institutions, Auquan’s clients include UBS, T Rowe Price, and Blue Owl Capital. The platform is also now available through Microsoft Azure.
Recognised by Global Finance Magazine as one of the Most Innovative Financial Technology Companies of 2025, the company stated on LinkedIn,
With its total funding now at $8 million dollars, Auquan is scaling both its engineering and sales operations. The company is focused on expanding its AI agent architecture to support more knowledge-intensive workflows and improve performance across the finance sector.
As Auquan continues to remove the burden of repetitive reporting, Founder/CEO Chandini Jain summed up the mindset driving the platform’s design: “Half your job is just reformatting the same insight in 10 different ways. AI doesn’t see the point—and neither should you.”
Half your job is just reformatting the same insight in 10 different ways. AI doesn’t see the point—and neither should you. #finance #ai
— Chandini Jain (@chandinijain) April 23, 2025
Neura Robotics raises $1.4B backed by NVIDIA and Amazon to scale physical AI and humanoids to millions of units by 2030, as autonomous robot teams make their tactical debut at Eurosatory 2026.
Odyssey’s $310 million raise signals a new phase in AI, where the race moves beyond language models into world models. These systems aim to give machines an operating understanding of space, motion and causality, forming the physics layer needed for robotics, autonomous systems and physical AI now.
Cyera’s reported $300 million raise at a $12 billion valuation shows how quickly enterprise data security is being repriced as AI adoption accelerates. The figures should be framed carefully, because Cyera has disputed the reported numbers.
Cognition has raised $1B at a $26B valuation, led by Lux Capital, General Catalyst, and 8VC. Its autonomous AI engineer Devin now writes 89% of the company's own code and is deployed at Mercedes-Benz, Goldman Sachs, the U.S. Navy, and Itaú.
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