What is
Claude?

Long documents, spreadsheets, code, images, entire contracts

Analyzes context, weighs options, follows instructions faithfully

Text, code, analysis, summaries, decisions — at expert quality

Connected to systems and tools, it executes tasks end to end

A market reference for writing, reviewing and fixing code. That is why it powers development tools like Claude Code, used by engineering teams worldwide.

Handles problems that require many logical steps without losing the thread — legal, financial and technical analyses that other models rush through.

Reads hundreds of pages at once. You can hand over contracts, reports or entire knowledge bases and ask for an analysis across the whole set.

Does what was asked, the way it was asked. Less "hallucination", more answers faithful to your context and business rules.

Anthropic was founded with a focus on safe, reliable AI. For companies, that means a more predictable and auditable model.

Understands and writes in many languages naturally — including Brazilian Portuguese, with nuance, corporate tone and technical vocabulary.

For the hardest tasks: deep reasoning, complex analysis, advanced coding and autonomous agents.

The everyday workhorse. Combines high quality with speed and affordable cost — ideal for most use cases.

Light and economical, for high volume and instant responses: triage, classification, support at scale.

Agents that monitor, decide and execute tasks on their own — using Claude as the reasoning engine.

Accelerate your engineering team: write, review and migrate code with AI, in a fraction of the time.

Processes that involve reading documents, interpreting text and deciding — automated with real intelligence.

Voice and text agents that understand the customer, resolve or hand off with full context.

There is a free plan on claude.ai with limited usage. For heavy use there are paid plans (Pro, Team, Enterprise) and the API, billed by usage. For companies, the relevant cost is not the subscription — it is how many work hours the tool saves.

They are competing products from different companies — Claude is made by Anthropic, ChatGPT by OpenAI. In practice, Claude tends to stand out on long, complex tasks: reading large documents, careful reasoning, coding, and answers that follow instructions faithfully. The best choice depends on the use case.

Yes, in a controlled way. Through the API and integrations (such as the MCP protocol), Claude can read documents, query systems and knowledge bases that you authorize — without that data being used to train the model on corporate plans. BASE/labs implements this layer with governance and security.

Yes. By default, Anthropic does not use commercial and API usage data to train its models. For companies, it is possible to configure data retention, access controls and compliance with data-protection law — part of the work BASE/labs does during implementation.

Not to chat with it on claude.ai — it is like messaging a highly capable assistant. But to integrate it into your company systems, automate processes and build agents, that is where the technical work comes in — which is exactly what BASE/labs does.

They are the models in the Claude family, designed to balance capability and cost. Opus is the most powerful, for the hardest tasks; Sonnet balances quality and speed for everyday work; Haiku is the fastest and most affordable, for high volume. Choosing the right model for each task is part of what cuts cost in a well-built implementation.