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Stocci Tech Stack

AI acceleration platform for enterprise data transformation

Technology, Information and Internet São Paulo, SP 11–50 employees Privately Held

Stocci builds a data-to-AI platform for Brazilian enterprises, combining governance, automation, and modern infrastructure to unlock faster ML deployment. The tech stack reveals a mature, production-ready data operation: Spark + Hadoop for processing, Airflow + Prefect for orchestration, Kafka + Kinesis for streaming, and TensorFlow + PyTorch for modeling—all running on AWS, Azure, and GCP. Pain points around inefficient data pipelines and governance compliance suggest Stocci is solving internal operational friction that mirrors customer problems.

Tech Stack 38 technologies

Core StackPython Java Scala Apache Spark Hadoop AWS BigQuery Redshift Apache Airflow Prefect Kafka Pandas scikit-learn TensorFlow Power BI Tableau Node.js .NET React Angular Vue Docker Kubernetes PyTorch SQL Azure GCP Kinesis R Git+8 more

What Stocci Is Building

◆Challenges

Inefficient data pipelines
Complex data integration
Data governance compliance
Budget alignment with business objectives
Financial forecasting accuracy
Financial control inefficiencies
Project delivery predictability

▲Active Projects

Ai solution development
Financial process improvement initiative
Economic feasibility study project
Financial modeling for investment analysis
Ai solutions projects

Hiring Activity

Minimal10 roles · 0 in 30d

Department

Engineering

4

Data

2

Finance

2

Product

2

Other

1

Seniority

Mid

5

Senior

3

Lead

2

Notable leadership hires: Tech Lead, Product Delivery Lead

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About Stocci

Stocci is a São Paulo-based platform helping enterprises accelerate AI adoption by transforming data into high-value solutions. The company operates across the full data and ML lifecycle: data integration and governance, process automation, and model deployment. Active projects include AI solution development, financial modeling, and process improvement initiatives—indicating a focus on enterprise finance and operations use cases. The 11-person team is engineering and data-forward, with product and finance leadership also present, suggesting a balanced approach between platform development and go-to-market strategy.

HeadquartersSão Paulo, SP

Company Size11–50 employees

Hiring MarketsBrazil

Frequently Asked Questions

What technology stack does Stocci use?

Stocci runs Python, Java, and Scala for development; Spark and Hadoop for distributed processing; Airflow and Prefect for workflow orchestration; Kafka and Kinesis for streaming; TensorFlow and PyTorch for ML; and BigQuery, Redshift, and other data warehouses on AWS, Azure, and GCP.

What is Stocci working on?

Active projects include AI solution development, financial process improvement, financial modeling for investment analysis, and economic feasibility studies—focused on enterprise data transformation and decision-making.

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