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Palo Alto-based Catio was awarded “Coolest Know-how” at VentureBeat Remodel 2025 in San Francisco on Wednesday. Based in 2023, the corporate has raised $7 million to this point, with a current $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 crew and the corporate’s know-how following the announcement of winners at Remodel. “We’re a crew of serial entrepreneurs and tech leaders who’ve all shared a deep private downside,” Bogatin mentioned. “Whereas finance of us 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 excess of 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 knowledge 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 methods
As an AI-driven tech stack copilot for technical leaders and engineering groups, Catio delivers real-time skilled insights and actionable suggestions to assist consider, plan and optimize infrastructure with readability and confidence. The answer integrates along with your present know-how stack—providers like AWS, Kubernetes, Prometheus and extra.
As soon as linked, Stacks—its first core module—creates a complete mannequin of your whole atmosphere. Not like conventional structure diagrams, this mannequin is codified, versioned and constantly up to date, residing in code fairly 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 price or efficiency? Does it nonetheless meet enterprise necessities? With Catio, these questions are not answered in conferences or siloed electronic mail threads; as an alternative, 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 widespread roles resembling chief architect, knowledge 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 finest practices.
Collectively, they simulate the design evaluation processes that sometimes require weeks of coordination or the involvement of exterior consultants. However as an alternative of periodic opinions, Catios brokers are all the time working, performing 24/7 evaluation that can assist 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 elements 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 gives 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 permit 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—resembling steerage to pinpoint precisely the place a particular safety vulnerability exists inside your structure.
Archie delivers each prescriptive steerage and reactive insights. For those who’re aiming to optimize prices, as an illustration, its AI brokers will floor alternatives and assess the enterprise impression of every one. This makes it simpler to attach each architectural determination to measurable ROI, serving to you design and plan with better precision—so your technical selections persistently assist actual enterprise targets.
To study extra about Catio’s crew and know-how, go to their web site at catio.tech. You may also join demo and get a first-hand take 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 notice: As a thank-you to our readers, we’ve opened up early hen 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.
