AI First is an AI infrastructure provider for Brazilian enterprises, whose official positioning is to transform scattered data into executed decisions, building intelligent infrastructure for Brazilian enterprises operating at scale.
I. Purpose The core proposition of AI First is: enterprises already have data, but lack a system capable of making decisions. While teams are still searching for information across different systems, the market continues to make decisions. AI First is committed to transforming fragmented data, manual processes, and scattered knowledge into an infrastructure that can see the entire enterprise and act in real time, connecting the continuous chain from "knowing" to "doing."
II. Main Capabilities According to official materials, its capabilities are developed around the following directions:
- Autonomous agents: capable of planning, deciding, and executing tasks under user governance.
- Gênese (dynamic ontology): organizes entities, relationships, and actions in the business, officially described as a "living ontology" responsible for organizing each entity, relationship, and business rule.
- Governance and security: provides governance, permissions, and security safeguards for all automated decisions, making decisions explainable, traceable, and rollback-capable.
- Continuous processes: continuous processes that connect systems, people, agents, and actions.
- New Eden: officially described as "a space to create, converse, and work with the company of AI agents," and stated to be a new AI First product.
- Organizational relationship map: officially mentioned as a "living map" that presents the organization's relationships, dependencies, and responsibilities.
III. How It Is Used The officially described workflow is:
- Data sources include ERP, CRM, documents, sensors, and human knowledge.
- Gênese organizes each entity, relationship, and business rule.
- Models and agents reason based on the complete reality.
- Tars acts within established limits, approvals, and policies. Official materials also mention that the intelligence reads context, recommends decisions, and executes within the systems the company already uses, eliminating the need for isolated dashboards disconnected from operations.
IV. Applicable Scenarios Official materials emphasize that it is aimed at enterprises "operating at scale," claiming it can help:
- uncover invisible losses;
- automate repetitive decisions;
- direct capital toward higher-return directions;
- shorten weeks of analysis to minutes, driving key decisions before competitors;
- scale autonomy without losing permissions. Official materials also provide an engagement method in the form of an "executive diagnostic": through a business conversation (rather than a generic demo), mapping opportunities, estimating impact, and designing a value validation plan for operations.
V. Limitations and Information Not Yet Provided Official materials do not provide specific fees, prices, subscription plaCases, deployment methods, system integration checklist, supported languages, data storage regions, SLA, typical customer cases, or quantified performance data. The materials also do not explain whether it supports enterprises outside Brazil or whether it offers a free trial. The above content is not yet available.
