−80% cloud infrastructure
Airline · legal. Lower cloud consumption on a legal platform with AI assistants, by redesigning the data and search architecture.
We design and implement agents connected to GCP, Snowflake, AWS and your ERP, with RAG architecture and automated evaluation. They analyze, report and run processes with answers that cite their source.
Team engineering proven at
What leadership cares about: lower cloud costs, lower operating spend and more productive teams. Measured on production systems our team designed and operated.
Airline · legal. Lower cloud consumption on a legal platform with AI assistants, by redesigning the data and search architecture.
Digital subscriptions · AI. Less compute to train and run AI models on a subscription platform, with reusable MLOps components.
Digital platform · data. A data process the business depends on went from hours to minutes by redesigning how it joins and aggregates information.
Media · financial data. An agent on Snowflake: teams get answers from real data almost instantly.
Industry doesn't matter: B2B or B2C, with a website, CRM or ERP. We look for repetitive tasks that take days of your team's time and turn them into workflows an agent runs under supervision.
Reconciliations, closings and reports that take days today.
Querying contracts, case files and regulations with source citations.
Lead qualification, CRM follow-up and pipeline reports.
Web traffic, campaign, segment and retention analysis.
Inventory, logistics and alerts when an indicator goes out of range.
Natural-language questions about your data, with charts on the spot.
We assess your current workflows to identify which repetitive processes (financial, legal or operational) can be safely delegated to an agent.
We connect agents to your data sources in GCP, Snowflake, AWS, ERP and internal systems. Every answer is based on verifiable data from your operation and cites its source.
We implement automated evaluation and observability to ensure accuracy before and after going to production.
Before an agent is activated, we put it through technical tests built from real cases in your operation. Every answer is checked against verified company information. End users only get access once accuracy clears the threshold we agree on with you, always above 90%. The evaluation runs again before every update.
We design with your IT and security teams from day one. Every agent action is logged and auditable.
GCP, AWS or Snowflake, inside your perimeter and with your credentials.
Zero-trust access and roles tailored to each agent.
Every query, source and action is logged and available for review.
Designed in line with data protection law and your company's internal policies.
Week 1 · Mapping of processes, sources and success criteria.
Weeks 2 to 4 · Connectors, retrieval and agent in a controlled environment.
Weeks 5 and 6 · Technical tests and use by a small group.
Ongoing · Monitoring, support and month-by-month accuracy improvements.
The first call is at no cost. Each project is estimated in hours after the audit: you approve the scope before we start and see the hours used week by week.
Process and data audit
Architecture and implementation
Support and continuous improvement
Prices in USD, before VAT · Cloud and API usage is paid by the client, with their own keys · Implementation: 50% upfront and 50% on delivery.
No. The agent is deployed in your cloud (GCP, AWS or Snowflake) with your own credentials and least-privilege access. Your information is never used to train public models.
It doesn't answer from memory: it queries the source and cites where each answer comes from. If it finds no evidence, it says so. And before production it must pass evaluation at the threshold you set, always above 90%.
We choose based on your case and your cloud: Claude on Vertex AI, Gemini, Snowflake Cortex or others. The architecture doesn't depend on a single vendor.
Only the ones you authorize. Everything else stays as a proposal for a person to approve, and it's all recorded in the audit log.
It's not a requirement to start. In the audit we assess your data quality and, if needed, the pilot includes the preparation work.
The first call is at no cost. The audit is billed hourly and ends with a scope estimate; with it you approve a block of hours for implementation and, if needed, a monthly block for operations.
On the first call, at no cost, we review your case. If it makes sense, the process audit follows: you get a map of 2 or 3 eligible processes, the risk level of each and a scope estimate.