Built on bootstrap, Getdemo launches SaaS Copilot and aims for R$ 10 million in ARR by the end of 2026

Getdemo, a startup based in Florianópolis specializing in B2B software user experience, announced on October 16, 2026, the launch of its third product front: SaaS Copilot. The tool consists of an artificial intelligence agent designed to execute tasks within complex enterprise systems, such as ERPs and CRMs, using natural language commands. Operating on a bootstrap model—without venture capital funding—the company currently serves a base of over 400 clients, including giants like TOTVS, Omie, and Conta Azul, and projects reaching R$ 10 million in Annual Recurring Revenue (ARR) by the end of 2026.

Context and background of Getdemo

Getdemo's journey began from the practical experience of its founders, Matheus Weigand and Vitor Oliveira, both former employees of Neoway. During his time at the previous company, Oliveira would conduct up to five or six software demonstrations daily. This exhaustive repetition exposed a bottleneck in the commercialization and adoption of B2B software, motivating the creation of the startup.

The founders spent approximately one year validating the thesis in conversations with software companies before launching their first product. The evolution of the Getdemo portfolio occurred in three chronological stages:

1. Interactive Demos: The company's first front, focused on optimizing B2B sales through guided product demonstrations without the need for synchronous sales calls.
2. Guided Onboarding: A layer aimed at after-sales, focused on facilitating the adoption of functionalities within systems by new users.
3. SaaS Copilot: The current launch, which introduces task execution by artificial intelligence via text commands.

Growth occurred without venture capital injection. Matheus Weigand and Vitor Oliveira chose to decline venture capital funds that labeled the market as "too small" or "too niche." The distribution strategy focused on creating communities, such as the SaaS BR Club, driving customer acquisition organically.

Operational data

The efficiency of the operation is reflected in financial traction and the time saved for end-users. Currently, Getdemo operates with an estimated MRR (Monthly Recurring Revenue) of about R$ 600,000. The client base jumped from 150 in November 2024 to about 350 in October 2025, exceeding 400 in October 2026. The goal for December 2026 is to reach the mark of 500 corporate clients and consolidate the R$ 10 million ARR.

Among the active clients that have implemented the startup's solutions are: TOTVS, Omie, Conta Azul, Senior Sistemas, Sólides, Zenvia, nstech, Onfly, and Softplan.

The operational impact of SaaS Copilot was measured in a recent use case within a condominium management firm. The client company used the agent to automate flows in its ERP, with the following quantitative results:

• Processing time: Reduction from 4h40 to just 1h06 in a batch of 156 operations (76% time savings).
• Mechanical effort: Elimination of approximately 4,600 clicks.
• Specific tasks: Launching 94 accounts payable, which would take about 3h08 manually, was completed in 51 minutes.
• PDF processing: Extracting and launching invoices from PDF documents fell from 3.5 minutes to 11 seconds per operation.

Practical application: How SaaS Copilot works

Unlike market alternatives that depend on API development or the use of external connection protocols, such as the MCP (Model Context Protocol), Getdemo's SaaS Copilot acts natively through simulation at the interface layer.

For product managers and developers of software companies (ISVs), implementation follows a practical four-step flow:

1. Capture via extension: The developer or product manager installs the Getdemo Chrome extension and navigates the platform once.
2. HTML Mapping: During this navigation, the AI captures the HTML code of the screens, understanding flows, menus, and fields without needing to read technical documentation.
3. Snippet Installation: The client company inserts a simple snippet (code snippet) into its platform. This embeds the assistant directly into the product, without requiring complex back-end integration development.
4. Cloud Execution: The end-user makes a request via chat (e.g., "Register a new supplier named XYZ"). The agent interprets, asks for missing data if necessary, and simulates the user's navigation through a virtual machine in the cloud, filling out forms and confirming execution.

For end-users, the practical impact occurs in the transition from clicking and filling out forms to an intent-based interface. Instead of opening the finance module, clicking on registration, looking for the supplier tab, and filling out ten fields, the user simply sends a text command on WhatsApp or the software's internal chat.

Impact for the sector and the Latin American market

The arrival of execution agents like SaaS Copilot affects two primary profiles. First, Software Companies (ISVs), which historically suffer from high churn rates caused by friction in usability. The tool acts as a functional shortcut that reduces the need for technical training and consulting extensive user manuals, which are often responsible for the abandonment of legacy systems.

Second, End-Users in departments such as finance, HR, health, logistics, and sales management have their mechanical routines offloaded to AI. The elimination of thousands of clicks in registration routines, invoice issuance, and order lookup allows for the reallocation of working hours to tasks of higher strategic value.

In the Latin American scenario, where the maturity of integration via APIs still faces technical barriers and high development costs in SMEs, Getdemo's approach bypasses the code barrier. By operating through screen recognition and click simulation, the technical barrier to automation is drastically reduced.

What is still unknown

Despite the efficiency data provided by Getdemo, there are two critical information gaps in the SaaS Copilot announcement that the company has not yet publicly clarified:

• Pricing and billing model: The exact cost of the service was not reported. It is unknown if billing occurs per software license, per-seat charge, or per volume of executions (pay-per-use) performed by the AI agent.
• Security and compliance (LGPD): There are no explicit technical details on how the solution handles sensitive data privacy — for example, when the agent navigates and processes confidential financial or health information to fill out forms — nor how it ensures auditing of the agent's autonomous actions in case of errors in entry.

What to expect next

With the goal set to add about 100 new enterprise clients over the next 24 months and increase recurring revenue by more than R$ 3 million annually to reach the 2026 target, Getdemo will face the challenge of scaling its virtual machine infrastructure stably. It is expected that the company will:

1. Begin to publicly detail use cases focused on security and execution auditing (logs) of the agent.
2. Integrate SaaS Copilot capabilities into existing Guided Onboarding flows, creating a continuous experience between "teaching how to use" and "doing it for the user."
3. Attract indirect interest from RPA (Robotic Process Automation) competitors, requiring SaaS Copilot to quickly expand to triggers activated by events rather than just text.

Frequently asked questions

What does Getdemo's SaaS Copilot do differently from common chatbots? Instead of just answering questions taken from a manual, it navigates the B2B system and performs actions on behalf of the user (such as filling out invoices or registering suppliers), simulating clicks through HTML mapping of the software's screens.

Does SaaS Copilot integration require rewriting the system's code? No. According to Getdemo, the AI learns the flows through a Chrome extension during initial navigation and is implemented by inserting a snippet (a simple piece of code), without requiring complex APIs.

Does Getdemo have venture capital investment? No. The company has been structured since its founding on a bootstrap model, growing its base of 400 clients and R$ 600k MRR from its own cash flow and organic and community distribution initiatives.