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    Health and pharma

    How do we use data and intelligence to improve journeys and operations?

    The search for health care is already digital and drives a market worth billions. We help health and pharmaceutical companies map the patient journey, understand the burden of disease and decide in real time, with privacy.

    Starts with: Security and governance

    Find where to start →

    Nursing staff checking information at the station

    What we offer

    • Occupational and population health

      Track the health of employees and plan members to act before conditions get worse.

      Also known as: Occupational and population health management

    • Prediction and decision support

      Algorithms that flag risks and AI agents that support clinical and management decisions.

      Also known as: Predictive algorithms · Agentic AI

    • Patient journey

      Understand the patient’s path, from the first symptom to treatment, to improve access.

      Also known as: Patient Journey · Patient Finder

    • Health market intelligence

      Public health data, disease burden and health-related litigation turned into information for decisions.

      Also known as: DataSUS Analytics · Disease burden · NatJus

    • Ask the health data

      Dashboards and a plain-language conversation to explore indicators and findings.

      Also known as: Conversational AI · dashboards

    Processes Semantix AI Suite runs in your sector

    Examples of application

    • Procedure authorizationRequest checked against the plan and the rules, with exceptions going to the specialist.
    • Claims billingClaims reviewed before submission, to avoid denials.
    • Patient serviceAppointments, results and questions handled with data protected.
    See the business areas →

    By the numbers

    • 71%

      of Brazilians already use AI assistants to look up health information

      Source: Olá Doutor/CNN Brasil, 2026

    • 83%

      of doctors see a risk of incorrect information generated by AI

      Source: Medscape/Forbes Brasil, 2024

    • 30%

      of medical errors are linked to lack of access to complete patient information

      Source: HIMSS

    • R$ 2.7B

      in federal spending on court-ordered medicines in 2024, an all-time record

      Source: Brazilian Ministry of Health, 2025

    Cases

    Results from real projects

    Clients are not named, for confidentiality.

    • Health and pharmaForecasting and planning

      Demand forecasting in the pharmaceutical industry

      Challenge
      Next-month forecasts for hundreds of SKUs, with a goal of cutting error by 20%.
      What we did
      Several models tested for each SKU, with the best one chosen automatically.
      • −24%average error (MAPE) across 329 SKUs
      • −35%error on the top 20 SKUs

      Measured result

    • Health and pharmaRisk and fraud

      Abuse at a health insurer

      Challenge
      Manual pre-audit of procedures and fraud in high-cost procedures.
      What we did
      A denial probability model, automatic retraining, scoring every 2 hours and automatic decisions on low-value requests.
      • R$ 1.1Min authorizations that became automatic
      • R$ 1.3Min procedures flagged for denial

      Measured result

    See all cases

    Clients in this sector

    • Sanofi
    • Bayer
    • Lilly
    • Novartis
    • GSK
    • Johnson & Johnson
    • Roche
    • AstraZeneca
    • Takeda
    • Teva
    • CSL Vifor
    • Daiichi Sankyo
    • Dasa
    • Grupo Fleury
    • Odontoprev
    • Grupo NC
    • Adama

    Display of brands subject to usage authorization.

    Every sector has its own bottleneck

    The method does not change: we understand the problem, map the workflow, check what already exists and define a first step with real impact.

    Talk to Semantix

    Not sure what a term means? That’s fine

    Nobody should have to speak technology to understand a transformation.

    Enterprise AI Company
    A company that brings AI into the operations of large enterprises: it delivers the platform, builds with the client’s team or runs the processes with AI agents and specialists.
    Hybrid workforce
    AI agents handle the volume; specialists decide the exceptions and the risky cases.
    Operation that learns
    Every human decision becomes knowledge, so the next similar case is faster and cheaper.
    Outcome-based contract
    You pay for what is delivered and measured, such as tickets resolved or cost per transaction.
    Context
    Your company’s knowledge (data, processes, rules and decisions) that lets AI act safely.
    AI
    Computers able to perform tasks that would normally require human intelligence.
    Agent
    An AI system that can carry out tasks using tools.
    Workflow
    The path a piece of work travels inside a company.
    API
    A way of letting systems talk to each other.
    Cloud
    Computing and storage reached over the internet.
    Data Platform
    An environment that organizes and serves the company’s data.
    Agentic AI
    AI that can understand goals and carry out tasks within defined limits.
    AI Harness
    The structure that supplies the context, tools, rules and controls an agent needs to act safely.