Your data lives in a warehouse
Snowflake, BigQuery or Cloud SQL with the truth of the business inside — and every question from the team goes through an analyst.
AI to truly organize and automate your company's operations. Connected to your warehouse, your repository and your tools: they query real data, open pull requests, run tests, launch campaigns and orchestrate complete flows — with traceability for every action.
Snowflake, BigQuery or Cloud SQL with the truth of the business inside — and every question from the team goes through an analyst.
The backlog fills up with repetitive tasks: migrations, tests, refactors and fixes nobody wants to pick up.
CRM, ERP, helpdesk and ads that don't talk to each other, and someone stitches them together by hand every morning.
Hundreds of pages, campaigns and keywords that need optimizing and reporting every week.
Every agent has defined permissions, assigned tools and a record of everything it did.
Connected to Snowflake, Cortex, BigQuery or Cloud SQL. They answer with the figure from your warehouse, not an estimate.
They read the repository, propose the change and open the pull request or merge request for your team to review.
Real unit and flow tests in Chrome: they navigate your product, detect the failure and report with evidence.
Ask about the quarter's sales and it returns the analysis with the chart ready, without waiting on anyone.
They read the contract as you upload it, flag risk clauses and cite where each observation came from.
They watch your services, detect the failure, try to recover it on their own and alert you with the diagnosis done.
From training to deployment: advanced models in production, versioned and monitored.
Yesterday's report lands at 7 am by email or Slack, with the number, the variation and what caused it.
One agent coordinates the rest: distributes tasks, waits for results and decides the next step in the flow.
This is what a real flow looks like from start to finish — every step is logged and reversible.
The agent detects the anomaly in the warehouse without anyone asking.
It queries several sources and finds that one campaign's CPA tripled.
It executes what it's allowed to and leaves what requires human approval in review.
It sends the summary with the cause, what it did and what's awaiting approval.
No stack migration. The agent comes in with its own credentials and minimal permissions.
We don't start from scratch or sell you a generic license. Each agent is built to measure on proven enterprise infrastructure and connects directly to your data.
Where the agent runs: Vertex AI for the models, Cloud Run to execute and IAM so it only touches what you authorize.
Where your data lives: the agent queries with Cortex on your own warehouse, with access governed per user.
On top goes what's yours: your data sources, your business rules, your repositories and your approval limits.
No client names — just the challenge, what we built and the number.
Challenge · the legal team reviewed contracts and corporate documents by hand.
Several specialized agents —contracts, corporate documents, advisory and meetings— answer based on the company's documents, with search redesigned for long documents.
Challenge · the business depended on engineering for every data query.
Natural-language questions on the data warehouse with governed access, an admin panel —tokens, observability, alerts— and automatic evaluations before every deployment.
Agents on WhatsApp, Slack and email that generate and publish content, monitor infrastructure and self-recover, prepare reports and handle team requests — always with human approval before any external action.
Want the technical detail of one of them? See more cases in IT & AI →
Each one only sees and touches what its role allows.
What it did, when and with which data. All queryable.
Sensitive actions stay in review; they don't run on their own.
They run in your cloud and never train public models.
We review your sources, permissions and the case that hurts most. At no cost.
One agent, one measurable case, in a controlled environment with agreed metrics.
We add flows and teams in stages, with clear permissions and limits.
Monitoring, tuning of prompts and tools, and support with SLA.
The proposal comes out of the technical discovery — which costs nothing and commits you to nothing.
A session with your technical team to pick the first flow and estimate the effort.
One agent, one flow, metrics agreed before starting.
Several agents in production, monitored and improved every sprint.
A smaller business, just customer service and sales on WhatsApp? See AI agents for businesses →
It doesn't have to. The agent runs in your cloud with its own credentials and minimal permissions, and never trains public models with your information.
Only what you authorize. Everything else stays in review — that's why it opens PRs instead of merging, and leaves the proposed change for a human to decide.
It doesn't answer from memory: it queries the source and cites where the number came from. If the query fails, it says so instead of making something up.
No. We work on Vertex, OpenAI, Anthropic or your own models, and the agent can switch engines without rebuilding the flow.
Weeks, not months. Discovery happens this week and the pilot starts as soon as we have access and the case defined.
Your operation doesn't need this level yet? If what you're after is an AI virtual assistant that answers WhatsApp, quotes and books appointments, start with AI agents for businesses →
A session with your technical team. If we don't see a case, we'll tell you — we'd rather do that than sell you a pilot that doesn't pay off.