Enterprise applied AI consultancy

Production AI for critical operations.

We design, integrate, and operate AI systems for companies that cannot depend on prototypes.

Production architecturefig. 01
01Data02Models03APIs04OpsDocumentsAPIsRAGMLOpsAutomationLogsReview loopGovernance
  • Enterprise AI systems
  • Production-grade delivery
  • Part of Scherm since 2026
What we do

Three areas. One production focus.

Applied AI for document-heavy, decision-heavy, and operational environments.

01

Document intelligence

Reading, classification, extraction, and triage for high-volume operational documents.

For legal, technical, scientific, and backoffice workflows.

02

GenAI and RAG systems

Assistants, knowledge search, and LLM workflows connected to enterprise data.

For internal knowledge, assisted decisions, and expert workflows.

03

Operational automation

AI-assisted workflows that reduce manual analysis, repetitive decisions, and operational friction.

For O&M, queues, monitoring, and system integration.

How we work

How we deliver

A direct path from operational diagnosis to assisted production.

01

Diagnosis

Map the process, constraints, data, users, and risk points.

02

Architecture

Define workflow, integrations, infrastructure, governance, and rollout.

03

Implementation

Build the system, APIs, automations, and evaluation routines.

04

Assisted operation

Support adoption, monitoring, iteration, and technical decisions.

Selected projects

Selected proof

Projects where AI left the prototype layer and entered operational workflows.

Abstract illustration of scales of justice over legal documents with data extraction overlays
CASE 01Justice / Public sector

GAIA Assistente — Court of Justice of Rio Grande do Sul

Challenge
Thousands of judicial cases required fast access to information without expanding manual work for court teams.
Solution
Language models integrated into the electronic case system to summarize, interpret, and locate information with traceability.
Result
Less time searching for information and more focus on higher-value legal analysis.
Abstract network connecting physician profiles to personalized medical content cards
CASE 02Healthcare / Bayer

Universo Médico content recommendation

Challenge
The same content was served to different physician profiles, reducing relevance and engagement.
Solution
Recommendation system personalized by specialty, behavior, and each physician's interaction history.
Result
More relevance for each HCP and a genuinely personalized digital experience.
Abstract ranked charts and a targeting reticle representing prioritized engagement channels
CASE 03Pharma / Johnson & Johnson

Intelligent field-force engagement

Challenge
Defining the best plan per HCP required combining potential, channel, frequency, and commercial constraints.
Solution
AI evaluating thousands of scenarios per HCP and recommending the best frequency and channel combination.
Result
More precise target plans and a data-driven field force.
Abstract solar panel array with telemetry lines and alert markers
CASE 04Energy / Solar O&M

Real-time monitoring and alerts for solar plants

Challenge
Inverter, relay, and tracker failures generated multiple alerts and demanded fast operational triage.
Solution
AI analyzing plant telemetry and events, prioritizing anomalies and recommending the next operational action.
Result
Faster failure prioritization and higher operational availability.
Abstract messaging bubbles and voice waveform over a cash-flow chart in a crop field
CASE 05Agribusiness / Financial management

Virtual agent for farm finance

Challenge
Revenue and expenses were scattered across notes, messages, and spreadsheets.
Solution
Messaging agent that records transactions by voice and organizes revenue and expenses automatically.
Result
Less administrative work and simpler, organized financial management.
Abstract crop rows in perspective with predictive data panels
CASE 06Agribusiness / Smart agriculture

Predictive models for agronomic decisions

Challenge
Planting and crop management decisions depend on dozens of simultaneous variables.
Solution
Predictive models combining climate, agronomic, and operational data to generate recommendations.
Result
Safer decisions, better input usage, and more efficiency in the field.
Institutional proof

Acquired by Scherm Brasil. Now Scherm.AI.

In April 2026, Scherm Brasil — a high-performance computing company with more than two decades in the market — acquired 100% of Altoria AI, giving rise to Scherm.AI. Founder Matheus Serpa became a partner and now leads the group's AI & HPC practice, combining applied AI in production with Scherm's own infrastructure.

Scherm, acquiring company of Altoria AI
Apr 2026
100%
Altoria AI
Scherm.AI
AI + HPC
Leadership

Matheus Serpa

Partner and Director of AI & HPC, Scherm Group

Founder of Altoria AI, with a background in high-performance computing research and applied AI delivery for enterprise operations.

Timeline
  1. 2020

    Altoria AI founded as an applied AI consultancy.

  2. 2021–2025

    Production AI delivered across justice, health, pharma, energy, and agribusiness.

  3. April 2026

    Scherm Brasil acquires 100% of Altoria AI.

  4. Today

    Operations continue as Scherm.AI, combining applied AI with HPC infrastructure.

Contact

Does your next AI system need to operate outside the lab?

Operations continue at Scherm.AI: applied AI and HPC infrastructure working together.