Experienced professionals carrying the company's reputation on their backs, operating with email, spreadsheets, Outlook and network folders. It happens in pharma, agribusiness, food, insurance, medical devices. In quality, compliance, regulatory, legal.
When audit asks "was this assessed?", the answer depends on the memory of whoever was there.
Frederico Oliveira, Sigalei founder. Product engineer in a regulated industry, dealing with certification, Anvisa and heavy documentation. Working hard and still being caught by a detail that slipped by, because the detail was in the paragraph of a technical note no one read in time.
It's a problem we're solving because it has already hurt me.
Most tools on the market stopped at the second generation. Sigalei evolved its technology with a focus on the third.
You go to the official gazette's site, download the PDF, read everything, copy the acts, paste them into a document. Then you analyze which clients each act applies to, cut it up and assemble one document per client.
Most regulatory operations still start here today.
Instead of the spreadsheet, you have software that pulls the acts in. You assess act by act, tag which client it goes to, and the tool assembles the report.
It's what most tools on the market do today.
You teach the agents which objects matter to each client and the nuances of each operation. When the agent captures an act, it already brings it organized by client with a suggested analysis. With every review, you teach the AI more.
The only tool in the Brazilian regulatory market in this generation.
The difference between one generation and the next isn't just performance. It's the kind of work you still have to do manually.
Today, any modern tool collects documents and filters them by keywords. That's the easy part to automate.
The work that still keeps you up at night in regulatory operations is what comes next:
Deciding whether an act is relevant to a specific client.
Identifying the nuances of each operation.
Organizing the delivery in the right format.
This used to be exclusively human work. Not anymore. Sigalei's technical differentiator is automating these decisions. The agents learn from your operation and execute with you reviewing, not doing it from scratch.
Sigalei has operated for a decade in regulated environments. The agents described above run every day, on top of official sources, for regulatory teams.
Breadth and depth in monitoring strategic data
Official Gazette Pages
Executive Acts
News
Regulations
Legislative Bills
Legislative & Executive Events
Social Media Posts
Total Integrated
Regulations mapped, processes under control.
Relevant sources not being read for lack of capacity.
A new agency, a structurally different flow, a sentinel hospital complaint that becomes a notification tomorrow.
Sigalei clears the second, organizes the first and gives time back to the third.
Regulatory is dense text, full of context. Most tools only work by breaking everything into tables, and lose what matters: meaning.
Sigalei works with text, semantic search and connected objects. It's the leap from spreadsheets to AI with governance.
Instead of you reading 200 documents to find the 3 that matter, specialized agents read for you, classify by risk and opportunity, and return only what needs a human decision. The analyst stops looking for the needle. They start the day already on what matters.
Organizing by objects changes the starting point. The regulation arrives connected to the object it affects. Analysis starts in the right place, with the object's history already loaded.
That's what lets the team keep answering in hours, not weeks, with 3,000 or 8,000 regulations on the radar.
"What am I exposed to?"
Dashboard of risks and opportunities by area, registration and product. Defensibility in audit, strategic decisions based on data, not memory.
"Where is the team spending time?"
Flow visibility, action plan by owner, SLA per regulatory demand. Conversation with leadership about priority, not firefighting.
"What has changed since last time?"
Semantic search, version comparison, previous decision memory already attached. Starts analysis in the right place.
Aviation works this way: every incident becomes a lesson, every lesson becomes a new safety layer.
Regulatory areas can operate by the same principle, when the system allows. Recording every decision and its reason protects the organization. And protects the professional even more.
Without a system, the team becomes a firefighter. Each fire consumes the time for preventive action. Negative spiral.
With the operation in place, the area stops reacting. It anticipates opportunities, influences regulations in public consultation, sits at the strategic decision table.
Generic LLM in a regulated environment produces false positives, false negatives, and no one can audit how it got there. In regulatory, that isn't AI. It's a liability.
Sigalei was built for high-reliability environments. AI specialized in regulatory text, with a precision pipeline, auditable trail of every inference, and customer-specific parameterization. Each deployment is parameterized to the objects, regulations and flows of your operation.
Not raw LLM. Precision pipeline dedicated to regulatory text.
Agents trained for specific tasks: reading, classifying, comparing and synthesizing regulatory text.
Every AI inference is logged and reviewable. Defensible in audit.
Each analysis preserves source, prompt, model, version and human review. Reproducible months later.
SAML 2.0 and OpenID Connect, granular access profiles, immutable logs.
Integration with corporate IdP, role-based control, per-object scope and usage audit.
Daily backup. Infrastructure prepared for enterprise environments.
Continuous monitoring, tested recovery, contractual SLA for enterprise customers.
For customers with data residency requirements.
Dedicated install, data inside customer VPC, no transit through shared environments.
Parameterized onboarding and direct support. Not a generic ticket.
Contact with people who understand your sector, configuration adjustments and joint operational evolution.
One tool per task created more fragmentation than control. Sigalei orchestrates monitoring, analysis, workflow, memory and evidence in a single system, with AI built for the regulatory context.
It's what the market was missing.
Built from a decade inside the problem. Backed by PIPE-FAPESP, with Phases 1 and 2 approved, with investment directed at applied AI research for high-precision regulatory text. Technology validated in real environments, with active customers in pharma, agribusiness and insurance.
Frederico Oliveira
Founder & CEO
Product engineer, regulated-industry background
Danilo Oliveira
Founder & CTO
Computer Engineer and Data Scientist
In a 30-minute conversation we show the product over your regulations, your flow, your objects. Not a generic demo.