The Arvantti Ecosystem

Arvantti is Sequoia Space's intelligence solutions brand. Today I am going to show you, in a simple way, what pieces the ecosystem has and how to put together a solution tailored to each company.

Each chapter in the index has a link: clicking takes you to the cover of that chapter. Each cover also has a link to return here.

First, who we are: Sequoia Space as the parent company and Arvantti as its applied intelligence brand.

Everything we are going to see is part of Sequoia Space. Sequoia is the company; Arvantti is its applied intelligence brand, with two faces: Arvantti Labs, which is the product that is installed in the company, and Arvantti Training Center, the business learning platform that trains teams to take advantage of it. Our philosophy: Most AI improvises; we design how you should think. Most pursue autonomous agents; we build harnesses that guide them, like the reins that allow a powerful horse to go where we want. And before touching something real, we simulate it.

Let's look at what's changing in the way companies use artificial intelligence and what it takes to get it right.

Most companies are at stage one: using AI as a personal assistant. The real value appears in stage three, when the AI ​​understands the business and operates within its processes, with rules and permissions.

This is the starting point for almost all of our clients: they intend to use artificial intelligence, but find themselves with scattered information, improvised tools, and no way to know what happened and why.

Now we get into the product: the pieces of the Arvantti ecosystem, starting with its foundation, Arvantti Harness.

Arvantti is not a single application or an AI: it is a set of pieces that come together. The base is the Harness, which governs everything. Added to this are the business brain for AI (visual search, data lake, knowledge graphs and RAG), the harness and agentic rules with governance and traceability, and the digital twins: Arvantti-DigitalTwin® co-simulates the plant and Arvantti-Fractal® analyzes predictive events. Arvantti Harness, Arvantti-DigitalTwin and Arvantti-Fractal are registered trademarks. The Training Center accompanies the teams in learning.

Arvantti Harness is a registered trademark. It is a harness of harnesses: it wraps around the different AIs (Claude, Codex, Gemini, Microsoft Copilot or local models) and gives them the same structure. Conversation mode: the friendly front door. Business brain: a graph with knowledge, pending decisions and tasks. Agent flows: sequences of agents that are configured within the harness, each with its own context, without contamination. Guided projects: SDD methodology to plan and execute. Connectors: integration with company systems without giving passwords to AI. Guardians: security rules and permissions. Isolated environment: terminals and sandbox for programmers. And a record of everything that happens.

Conversation mode is the first front of communication with the harness and what makes it friendly for anyone. It works by voice in real time, with natural interruptions, or by text. While the person talks, the system organizes the elements on its own: it builds the business brain graph, prepares the RAG and organizes agent flows and tasks. It's like having a Hermes-type personal assistant, but for business.

This is the path that information takes to become the business brain of the Harness: it is taken from the sources, cleaned and classified, unified, and then RAG and Graph RAG recover the precise context for each question.

Before the AI ​​acts, it goes through a chain of control: it uses the right knowledge, it is executed by an agent, rules and permissions are verified, gatekeepers review, everything is recorded and only then is there action. Below, the four guarantees of trust: people decide what is important, everything is recorded with author, date and permission, the data is protected, and traceability is designed for the ISO/IEC 42001 standard, the international standard for artificial intelligence management systems.

This capability was born in a real project: finding in which video, and at what time, a scene appears within thousands of videos saved in Google Drive, and showing where else it could appear. What we bring to Arvantti is that visual and agentic capability of enterprise RAG: it works for media files, but also for security cameras, plant cameras, inspection photos, plans and scanned documents. Agents only read; They never modify the original files.

This chapter explains how a digital twin connects to the real plant and how Arvantti-Fractal anticipates what is going to happen.

This is how an Arvantti digital twin operates. The real plant has its equipment and sensors; the PLC controls them and reports their signals. These signals are read securely, with OPC UA, without intervening in the plant, and feed Arvantti-DigitalTwin®, our digital twin and trademark: a 3D replica that moves live and co-simulates the plant in parallel. Arvantti-Fractal®, also a registered trademark, works on the twin, which analyzes predictive events, compares alternatives and recommends adjustments. The operator decides whether to accept them, and only then is the change applied in the PLC. Today the PLC is virtualized in the demonstration plants; the same schematic connects to a real PLC.

Arvantti-DigitalTwin® and Arvantti-Fractal® are registered trademarks. Arvantti-DigitalTwin® reads data from the PLC without writing to it and co-simulates the plant with an independent model; Arvantti-Fractal® analyzes predictive events, compares the current scenario with alternatives and anticipates events. Clarifies that the aqueduct is a hypothetical example case, not a real installation. In this demonstration aqueduct, it proposes profiles for the regulating station and the pumping so that the home with the lowest pressure never falls below the minimum service level. It is always a recommendation: the operator decides.

These are real views of the platform: four reference floors built with the Arvantti equipment library, and the aqueduct control room, which shows live what the virtual PLC reports. Each floor has its “3D” link and all can be explored live at digitaltwin.arvantti.online; Open links before submitting to confirm they load. Reference plant data are demonstration estimates, not from an actual installation.

With the ecosystem clear, we see where it generates value in each area of ​​the company with benchmark results.

Examples of applications by area. Digital twins and Arvantti-Fractal enter manufacturing and logistics; in finance, commercial and management, the knowledge and flows of Harness agents. In management, the company is seen in real time and connected with AI. In finance we add a decision analyzer that evaluates alternatives and their risks. In commercial we also optimize agentic marketing flows: agents who prepare campaigns, content and monitoring under the Harness rules.

These are reference figures of use cases for this type of solutions, not promises. The real impact of each company is estimated in the initial diagnosis.

Here we explain how we work with each company: what services we offer, how the solution is put together and how we train the teams.

Five services that are combined according to need: knowledge, governance with Arvantti Harness, integration with company systems and operation with digital twins: Arvantti-DigitalTwin® and Arvantti-Fractal®; and training with Arvantti Training Center, with routes for managers, content and engineers, plus the Private AI Clinic.

Here is the core idea: the customer says “I want Arvantti with this, this and that, plus this personalization, and I want to use this AI.” The table shows typical combinations: for example, a software development company adds security guards, and a marketer or marketing team adds visual RAG for their media. They are typical combinations, but each solution is tailored to suit. The Harness is always on the base.

Two ways to form teams. The Private AI Clinic is a short, practical program: in four three-hour workshops, with teams of three to five people, each person identifies an opportunity in their own work, designs it, builds it with AI and tests it; includes examples, plugins and skills from Arvantti. Arvantti Training Center, with Arvantti School, is the business learning platform that accompanies adoption: three routes with annual membership, for managers, for marketing and content teams, and for engineers.

To finish: how we started working together.

Getting started is simple: a 30-45 minute meeting to understand the objectives and choose a use case, then a proposal with scope, schedule and investment, and then the start of the project with measurement from the beginning. From there we followed a staged path over four months: diagnosis in the first month, data preparation in months one and two, development in months two and three, validation and deployment in months three and four, and then continuous scaling. We start with a specific use case and grow with results.

We close with an open question for the client: what part of their operation do they want to make smarter. From that answer we propose the modules, AI and personalization.