Frequently Asked Questions about Quanter

The process is divided into five key stages, where AI assistance can be used:

• Analyze requirements with AI: Optionally, AI can optimize the wording to make it clear and consistent before estimation.
• Identify functionalities
• Sizing: Calculates functional size using Function Points or other standards.
• Apply productivity: Based on market values, historical data, or custom productivity rates.
• Generate results: Provides a detailed breakdown of costs and effort across all SDLC phases.

Accuracy depends on the level of detail in the requirements.

For example, if the requirement is: “I want you to build an application to generate invoices” there is limited detail, so the model must assume part of the information. The issue is not lack of accuracy, but the wide range of possible interpretations.

However, if the requirement is: “I want a monthly billing report with weekly aggregated data, including details by product, country, and customer” the system has much clearer information, making it easier to determine functionality and provide accurate results based on standard metrics and benchmarking.

To further improve accuracy, you can define the productivity of your teams or vendors and apply it during estimation.

To function, Quanter only requires requirements written in natural language. These can come in various formats, such as user stories, business documents, manuals, or even meeting transcripts.

A key advantage is that estimation does not require technical knowledge, source code, or architecture definitions. This makes it ideal for early development phases, for organizations that need to define a budget, or for those aiming to fix the final cost of a project.

Tools such as CAST analyze code after it has been developed, while Quanter operates before development as an estimation governance solution.

This allows you to understand product size, effort, cost, and expected quality (potential defects) from the requirements phase, enabling better decision-making and vendor management before committing resources.

Yes, Quanter is designed for collaborative work and synchronizes bidirectionally with tools such as Jira and Salesforce, and potentially with any client tool.

In addition, it provides an API for Power BI, allowing all estimation data to be connected to customized dashboards for tailored data analysis.

Absolutely. Quanter is fully compatible with Agile, Waterfall, hybrid models, and virtually any software development lifecycle. One of its key features is the ability to compare the efficiency of different development approaches, across different lifecycle models, teams, or even the use of Artificial Intelligence.

In Agile environments, it helps Product Owners optimize the backlog by improving the wording of user stories using AI.

It also allows correlation between functional size and Story Points, making it possible to immediately understand the effort and cost associated with developing a user story based on global benchmarks.

It also enables automatic synchronization with tools such as Jira or Salesforce.

No. Privacy is a priority, and customer data is not used to train AI models without explicit consent.

Quanter is a SaaS solution hosted in the public cloud, ensuring that information is centralized, secure, and always available for consultation.

The total cost is calculated using the formula:

• Functional Size (FP) x Productivity (hours/FP) x Rate (€/hour)

Quanter allows this cost to be broken down across all SDLC activities, including management, analysis, design, coding, and testing.

It also allows additional identified costs to be included, providing an E2E (End-to-End) view of the project.

Yes, it is a key tool for vendor governance. It allows you to quickly identify which vendors need improvement and which are more efficient through comparisons by technology and vendor.

It helps detect:

• Cost overruns
• Low productivity
• Deviations from market standards
• Lack of quality

It even supports justifying higher rates when superior productivity is demonstrated.

Yes. As mentioned previously, Quanter is a key tool for development team governance, whether internal or external.

It allows you to quickly identify which teams need improvement and which are more efficient through comparisons by technology and team.

Quanter allows teams to triple their estimation capacity by centralizing information, reducing email management, and minimizing unnecessary meetings.

In addition, users who leverage Quanter AI have been shown to be, on average, up to 12 times more productive than those who do not use the tool.

It is a functionality that enables quality governance before development begins.

• Calculates the number of required test cases
• Predicts the number of potential defects
• Estimates the effort needed for QA and UAT teams to execute testing activities.

Yes. Quanter includes an AI-powered Requirements Enhancement feature that analyzes user stories or requirements written in natural language to identify ambiguities.

The tool proposes an optimized and consistent version based on quality criteria, ensuring that requirements are ready to be estimated accurately.

Quanter provides access to the largest database of software projects in the world,, with references from:

• More than 105,000 projects
• 191 vendors
• 145 different technologies.

This database is continuously updated, incorporating data from more than 6,000 new projects each year.

No. Quanter is a SaaS (Software as a Service) solution hosted in the public cloud.

This allows you to access all your estimation data anytime and from anywhere, without the need for your own infrastructure.

Function Points are an international standard unit (ISO/IEC 20926) used to measure the functional size of the product delivered to the user, regardless of the technology used. Quanter uses them because they provide objectivity, transparency, and consistency, enabling a shift from subjective models based on “hours” to objective models based on delivered value.

This methodology is widely used by governments and organizations worldwide, including the European Union, Italy, Brazil, Japan, and South Korea, as well as many large companies.

Absolutely. Quanter uses internationally recognized ISO/IEC standard methodologies and is specifically recommended by the European Union for pricing and transparency in software development tenders.

In the case of a customized setup (including workflows, profiles, and tailored productivity rates), the implementation time is a maximum of one week once the required information is available.

Quanter is a proven cost-saving tool. Over the last 6 years (2019–2024), it has helped clients save more than €55 million by optimizing costs and improving productivity in software projects.

Quanter is designed for three key profiles:

• IT: to estimate rigorously
• Business: to ensure they pay a fair price for software
• Integrators: to justify their productivity and manage their margins