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Palo Alto-Base Catio given “coolest technology” in VentureBeat changes 2025 In San Francisco on Wednesday. Constructed in 2023, the company raised $ 7 million so far, with recent $ 3 million Round announced in March. Catio is also a finalist and presented to VB Transform Showcase in 2024.
AI Copilot at AI Copilot for Tech Architecture pushes architecture as a living system – one that can be codifect, tackled and intelligently improved. By combining an actual architectural architecture with a multi-agent AI organization, the solution helps engineering teams in continuous reaction to reacting noble decision.
VentureBeat talks to co-founder and CEO Boris Bogatin and Product Lead Adam Kirsh about their team and company technology after announcing the winner of the change. “We are a team of serial entrepeneurs and tech leaders all shared a deep personal problem,” says Bogatin. “While folks folks and developers all have tools, CTO, architects, and developers all who plan on whiteboards and ad hoc spreadsheets.”
The Catio is more than a digital whiteboard for CTOS – this is a reimagining how the architecture is understood, managed and lasted. The platform serves digital twins for your tech stack, offering continuous architectural methods to inform better knowledge well, data powered by data. Designed to answer the increasing complexity of modern tech stacks – including cloud infrastructure, the confestation pipelines, the plact-system systems. In Catio, an architecture is a living, updated system – updated regularly, an AI intelligent agent network.
From static diagrams in systems of living systems
As an Ai-Dreatn Tect Stect Copilot for Technical Leaders and Engineering Teams, Catio delivers real experts and surgical and trusting infrastructure and trust. The solution alone has your existing stack-services technology such as aws, kubernetes, prometheus and more.
Once connected, stacks – the first core module – creates a comprehensive model in your entire environment. Unlike traditional architectural diagrams, this model is codied, made and continuously updated, living in code instead of PowerPoint slides.
Source: Catio.tech.
This dynamic architectural model allows teams to associate with their stack as a navigable system. Each component is introspected: What does these RDs do? Does it optimize for cost or performance? Does it still agree with business requirements? With Catio, these questions can no longer be answered with meetings or covered emails to threads; However, they were built on the platform.
A multi-agent AI system to close the architectural loop
The solution includes a multi-agent system designed to indicate the structure of a typical technical organization. It consists of 31 specialized agents, each marked after common paper as chief architect, data architect, manage managers in prophecy and forward. These agents work together to determine the system’s design and performance architecture against the necessary and best practices.
Join, they set up design processes that usually require weekly coordination or the involvement of external consultants. But instead of regular examinations, Catios agents often work, conducting 24/7 analysis to help you with your architecture in real time. Also, Catio doesn’t just describe your architecture – it’s actively criticizing it. The solution provides analysis of the Gap, the underperforming component is selected and suggests targeting targets consistent with your business goals.
If a data pipeline is optimizing, overhauling your imputation infrastructure, or repeat the storage architecture, the platform provides actions of views of each layer of stack.
In the future
In transformation, Catio also announced the future launch of Archie, a conversation, multi-agent AI system. Archie allows users to talk to their architecture and ask for advice – for example, a “How do I improve my posture security?” The question can provide an explanation, there are answers responses – such as guidance to determine where there is a certain amount of security within your architecture.
Archie took the same guide to prescriptive and reactive views. If you seek to optimize costs, for example, AI agents will face opportunities and check the effects of each other’s business. It is easier to connect each architectural decision to be measured by ROI, which can help you design and plan with better accuracy – so your technical choices often support real business goals.
To determine more about the Catio team and technology, visit their website at catio.tech. You can again Sign up for demo and get a first-hand view of the action platform.
Read about other winners CTGT and Solo.io. Other finalists Fist,, Superduper.io,, Asra and Qdrant.
Editor’s note: As an appreciation to our readers, we open early bird registration for VB change in 2026 – $ 200 only. Here where AI ambition meets the reality of surgery, and you want to be in the room. Reserve your place now.
