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Palo Alto-based Catio was awarded “Coolest Know-how” at VentureBeat Transform 2025 in San Francisco on Wednesday. Based in 2023, the corporate has raised $7 million up to now, with a latest $3 million spherical introduced in March. Catio was additionally a finalist and offered at VB Remodel’s Innovation Showcase in 2024.
Catio’s AI Copilot for Tech Structure reframes structure as a residing system—one that may be codified, introspected and intelligently advanced. By combining a real-time architectural map with a multi-agent AI group, the answer helps engineering groups shift from reactive decision-making to steady, proactive structure excellence.
VentureBeat spoke with co-founder and CEO Boris Bogatin and product lead Adam Kirsh about their workforce and the corporate’s know-how following the announcement of winners at Remodel. “We’re a workforce of serial entrepreneurs and tech leaders who’ve all shared a deep private drawback,” Bogatin mentioned. “Whereas finance people and builders all have instruments, CTOs, architects, and builders all plan and optimize stacks on whiteboards and advert hoc spreadsheets. And we’re altering that with Catio.”
Catio is way over a digital whiteboard for CTOs—it’s a reimagining of how structure is known, managed and advanced. The platform serves as a digital twin on your tech stack, providing steady structure visibility to tell extra well-informed, data-driven structure selections. Designed to handle the escalating complexity of recent tech stacks—together with cloud infrastructure, container orchestration, monitoring and information pipelines—the platform replaces static diagrams and advert hoc snapshots with an interactive, high-fidelity system mannequin. With Catio, structure turns into a residing, codified system—continuously up to date, evaluated and suggested by a community of clever AI brokers.
From static diagrams to residing programs
As an AI-driven tech stack copilot for technical leaders and engineering groups, Catio delivers real-time knowledgeable insights and actionable suggestions to assist consider, plan and optimize infrastructure with readability and confidence. The answer integrates along with your current know-how stack—companies like AWS, Kubernetes, Prometheus and extra.
As soon as linked, Stacks—its first core module—creates a complete mannequin of your whole surroundings. Not like conventional structure diagrams, this mannequin is codified, versioned and repeatedly up to date, residing in code somewhat than PowerPoint slides.
Supply: catio.tech.
This dynamic structure mannequin permits groups to work together with their stack as a navigable system. Every part is introspectable: What is that this RDS occasion doing? Is it optimized for value or efficiency? Does it nonetheless meet enterprise necessities? With Catio, these questions are not answered in conferences or siloed e mail threads; as a substitute, they’re constructed into the platform.
A multi-agent AI system to shut the loop on structure
The answer features a multi-agent AI system designed to mirror the construction of a typical technical group. It consists of 31 specialised brokers, every modeled after frequent roles akin to chief architect, information architect, messaging architect, product managers and past. These brokers collaborate to evaluate the design and efficiency of the system structure in opposition to the necessities and greatest practices.
Collectively, they simulate the design assessment processes that usually require weeks of coordination or the involvement of exterior consultants. However as a substitute of periodic evaluations, Catios brokers are all the time working, performing 24/7 evaluation that will help you evolve your structure in actual time. Additionally, Catio doesn’t simply describe your structure—it actively critiques it. The answer delivers hole evaluation, pinpoints underperforming parts and suggests focused enhancements aligned with what you are promoting targets.
Whether or not it’s optimizing a knowledge pipeline, overhauling your messaging infrastructure, or rethinking storage structure, the platform offers actionable insights at each layer of the stack.
The long run
At Remodel, Catio additionally introduced the upcoming launch of Archie, a conversational, multi-agent AI system. Archie will enable customers to speak to their structure and ask for recommendation—for instance, a “how do I enhance my safety posture?” question will yield clear, actionable solutions—akin to steering to pinpoint precisely the place a particular safety vulnerability exists inside your structure.
Archie delivers each prescriptive steering and reactive insights. Should you’re aiming to optimize prices, for example, its AI brokers will floor alternatives and assess the enterprise affect of every one. This makes it simpler to attach each architectural determination to measurable ROI, serving to you design and plan with higher precision—so your technical selections constantly assist actual enterprise targets.
To study extra about Catio’s workforce and know-how, go to their web site at catio.tech. It’s also possible to sign up for demo and get a first-hand have a look at the platform in motion.
Learn in regards to the different winners CTGT and Solo.io. The opposite finalists have been Kumo, Superduper.io, Sutro and Qdrant.
Editor’s word: As a thank-you to our readers, we’ve opened up early chook registration for VB Remodel 2026 — simply $200. That is the place AI ambition meets operational actuality, and also you’re going to wish to be within the room. Reserve your spot now.
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