Book a callBookA data foundation, a knowledge graph and governed applications: so AI answers with the real context of your operation, with sources and with control.
The numbers are public. So is the failure pattern.
Each of these causes has a layer that answers for it. The platform was designed that way.
Each layer solves one of the causes. Together, they take AI from demo to production, in your environment, under your rules.
We structure your data lake. 50+ connectors bring systems, silos and conversations into a unified base: clean, cataloged, with the origin of every piece of data preserved.
Business context structured as a graph, exposed with access controlled by the MCP Server and reacting in real time with the Event Bus.
Agents, monitoring and governance operating on context, not on a void. With human oversight where there is risk.
The model market changes leaders every six months. Your operation cannot swap foundations along with it.
Any competitor rents the same model you do, at the same price. Competitive advantage does not live there. Which model is your decision; where it runs is fixed: in your cloud.
Rules, exceptions, vocabulary and the history of your operation, structured in a graph any AI can query. No one rents that.
Agents and assistants talk to the layer via MCP. No coupling to a model vendor. Plugging in another one is configuration.
Switching models becomes a procurement decision. Not a year-long project.
What happens between the question and the answer, layer by layer.
@assistant: which clients have contracts due this week?Sent on WhatsApp, on the web or in the system your team already uses.The custody connector feeds the unified base. The due date of every contract is there, with its origin preserved.
“Client”, “contract” and “due date” are related entities in the graph. The question traverses relationships, not a text index.
The agent queries only what that advisor’s profile allows. Nothing more. And the query is logged.
The list arrives with the origin of every item. Anyone who wants to check can check the source.
Each step is one of the layers. Remove one and the answer becomes a guess.
A 30-minute conversation with the people who build the platform, grounded in your real scenario, not slides.
A founder joins the call. You bring a real problem from your operation and leave with an honest read on where AI creates value. If we are not the right fit, we say that too.
The calendar opens right away. You pick the time and get the invite by email.
If you would rather write before booking, the email is contato@entitylabs.com.br.