Comparison

Nomos vs Claude for Brazilian regulation

See the practical difference between using a general AI, like Claude, and using an AI built for regulatory and compliance work: Sentinela, from Nomos. That difference matters every day for teams doing regulatory monitoring and compliance, who need the work done safely and reliably.

Last updated: September 25, 2026

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438

official and press sources monitored

federative units covered

~600

new Brazilian norms per day

4 min

to configure an alert and a dashboard

The short answer

Claude is great at reading a document you already have, summarizing it, thinking it through with you, and researching a topic on the open web. It helps with any task that comes down to finding and understanding something already published. The problem is different: it is not enough to read well, you need to be sure nothing slipped through. You do not need a summary of whatever the model happened to find — you need certainty that every act in today's official gazette was actually read. That second need is why Nomos exists: it reads, every day, straight from the official source, the roughly 600 norms published in Brazil. This is not best-effort search, it is guaranteed coverage. Both tools work together: Nomos ships a native MCP server, so Claude can query the Nomos database as a tool whenever that coverage is what you need.

What Claude is good at

None of this is against Claude. It does well what it was built to do, and these are the right tasks for it.

Reading, summarizing and comparing a text you give it, even a full norm pasted into the conversation.
Explaining a legal or regulatory term in plain language, for the team that has to decide.
Drafting a memo, an opinion, or a meeting brief from material you already gathered.
Writing code, building a spreadsheet, or automating a one-off task without an engineering team.
Using external tools over MCP — including querying the Nomos database.

Ten criteria, side by side

Nomos is not a better AI model than Claude. It is an AI more specialized in compliance, governance and regulatory red tape than a general AI tends to be.

A comparison between a general AI assistant (Claude) and Nomos, across ten points of regulatory monitoring in Brazil.
What you need	Claude, and general AI	Nomos
See the whole picture, not just find the text	Finds one case, not the total It does well with one named bill. But ask how many exist, and it says there is no central list, then guesses.	Gives the real count, not a guess For example, on artificial intelligence: 1,407 bills. 1,026 are federal, and 381 are in 30 state and municipal legislatures.
Know what was published today	Stuck at a fixed date Even with web search, it only finds what is already published and indexed at that moment.	Alerts in seconds Nomos reads Brazil's roughly 600 new rules published every day, straight from the official source.
Move to the next step, not just answer	Same routine for every user It does not know your approval process, your internal deadlines, or who owns each step.	Runs inside your process Nomos is set up around your company's real workflow. It follows through and finishes steps, not just answers.
Decide where sensitive documents can go	Depends on internal policy How data is stored and used depends on the plan. Each company decides what it can share there.	Contracted by the company It is set up during onboarding, around the company's regulatory area. Access starts with a demo, not a personal signup.
Cover states and cities, even what went offline	Reaches only what stays online State and city coverage is spotty. If a page goes offline, that information is gone.	Proprietary historical database Nomos keeps gazettes from all 26 states and the Federal District, 116 state-assembly feeds, and the city councils of São Paulo, Rio, Belo Horizonte and Maceió. All read straight from the source.
Receive it in the channel the team already uses	The chat is the channel You have to open the tab and ask before you find out anything.	Seven delivery channels WhatsApp, email, SMS, voice, web app, REST API and MCP server.
Keep what was accumulated when someone leaves	Lives in one person's account When that person leaves, their prompts, history and context leave with them.	Lives in the company platform Monitors, watchlists and history keep working for whoever takes over the role.
Be told without having to ask	Answers when asked If nobody asks on the right day, nobody gets warned.	Warns and opens the work step Nomos checks the risk and importance of every alert, then starts the action needed.
Know who decides, not only what was decided	Reads what is written down To know who is really driving a decision, that has to be written down somewhere it can find.	Arko Advice political analysis More than 40 years tracking Brazilian politics. This is exclusive data used by Sentinela.
Not depend on knowing how to ask the right way	Good answers need the right prompt Every time, you have to know what to ask and how to ask it.	Four minutes, no training Sentinela already knows the sector's terms and helps you set up what to monitor.

Where the difference actually shows

Four of the ten criteria above make most of the difference between the two tools.

Coverage that does not depend on the page staying online

Web search only finds what is indexed at the moment of the question. State gazettes come out as PDFs that are hard to index, municipal websites move, and an act pulled from its source disappears from the web.

Nomos reads each source straight from the origin and keeps it in its own database: at least one source in all 27 federative units, gazettes for the 26 states and the Federal District, plus 116 state-assembly feeds. What came in stays available afterward.

The difference between finding and guaranteeing

Finding answers whoever asked. Guaranteeing warns the person who did not know to ask — and Brazil publishes about 600 new norms a day across federal, state and municipal government.

Nomos tracks that volume every day, checks the risk and importance of each change against the company watchlist, and fires the alert within seconds. The relevant change reaches the right person, instead of waiting for someone to ask.

What gets built stays with the company, not with one person

People who use a general assistant well build their own way of working: the prompts that work, the context they paste every time, a folder of old conversations. All of that leaves with the person when they leave the team.

At Nomos, what gets built are monitors, watchlists and history, and those stay in the company platform. Whoever takes over finds everything running, not a blank page.

Knowing who decides, not just what was decided

Reading a published norm is the part any good AI handles well. The hard part comes earlier: who is moving the bill, which rapporteur took it, where it tends to stall. That is not written down anywhere public and easy to find.

Nomos uses Arko Advice analysis, with more than 40 years tracking Brazilian politics behind the scenes, as exclusive data for Sentinela, the AI behind the platform.

Both at once: Nomos inside Claude

Nomos publishes a native MCP server and a documented REST API. With the server connected, Claude queries the Nomos database as a tool: you keep asking in the same conversation, but the answer now comes from same-day data, backed by the official source.

The tools the assistant gains

Legislative

Buscar Proposições
Buscar Discursos

Progress, amendments, votes, rapporteurs and floor speeches across the National Congress and the state assemblies.

Official gazettes

Buscar Diário Oficial da União
Buscar Diários Oficiais

The federal DOU, across its six sections, plus state and judicial gazettes. This is exactly the material web search reaches badly.

Regulators

Buscar Agências Reguladoras
Buscar Bacen
Buscar CVM
Buscar Receita Federal

Acts, circulars, resolutions and instructions from 14 federal agencies, like BACEN, CVM, the Federal Revenue, ANVISA, ANEEL and ANATEL.

Press and reaction

Buscar Notícias
Buscar Redes Sociais

News and social media, to see how a change is landing outside the official text.

What changes in Claude once these tools are connected

The question about what came out today gets an answer you can check, with the act and its official source behind it — instead of depending on what web search happened to find.
States and municipalities come into range: the gazettes of the 26 states, the Federal District, and the 116 state-assembly feeds rarely show up in a plain search.
Queries reach the historical database, which stays there even if the original page goes offline.
It is the same data behind the platform alerts: what the team got on WhatsApp in the morning is what Claude reads in the conversation that afternoon.
The assistant keeps doing what it already did well — comparing, drafting, summarizing and explaining — now over material with guaranteed coverage.

Built for companies, not individual accounts

Nomos is a platform for companies: the contract belongs to the company, and the setup follows its regulatory area, defined at the start. That changes a few things compared with building the routine inside a personal AI account.

Access starts with a demo, already set up with the company's sector and sources, not with an individual signup.
The setup is a company asset: monitors, watchlists and taxonomies belong to the company and keep running when someone changes roles.
The same database arrives over seven channels — WhatsApp, email, SMS, voice, web app, REST API and MCP server — so each team picks where to receive it, without setting everything up again.
The MCP server plugs into any agent platform: the Claude the company already uses, an in-house assistant, or internal agents built on the REST API.

Read the API and MCP documentation

Anthropic and Claude are trademarks of their respective owners. Naming them here is only descriptive and implies no partnership or endorsement.

Frequently asked questions

Can I use Claude to monitor Brazilian regulation?

To read and understand a text you already have, yes. To find out what changed today, no: the model has a training cutoff, and even with web search it only finds what is already published and indexed. Nomos covers the step before that: it tracks about 600 norms a day, across 27 federative units, and alerts in seconds.

Does Nomos replace Claude?

No. They do different things: Claude thinks through the material it receives, Nomos makes sure the right material arrives on the right day. Plenty of teams use both together — that is exactly why Nomos has a native MCP server.

How do I connect Nomos to Claude?

Through the native Nomos MCP server, with tools like search bills, search the federal official gazette, search state gazettes, search regulators, search BACEN, search CVM, search the Federal Revenue, search floor speeches, search news, and search social media. Setup is documented at nomos.pro/docs, alongside the REST API.

What does a general AI not cover in this use case?

Three things above all: an archive of its own that stays up even if the original source goes offline, full coverage of states and municipalities, and automatic alerts with risk analysis instead of only answering when asked.

How long does it take to start using Nomos?

An alert and a dashboard are ready in under four minutes, with no training. Access is for companies and starts with a demo, where the company's regulatory area gets set up — not with an individual signup.