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Sankhya Tech Stack

ERP and HCM platform for Brazilian mid-market and enterprise

Software Development Uberlândia, MG 1,001–5,000 employees Founded 1989 Privately Held

Sankhya is a 35-year-old Brazilian ERP vendor serving 2,000+ customers with modular, configurable business management software. The tech stack reveals a Java + Spring + React core migrating toward AI capabilities—actively adopting LangChain, LlamaIndex, and BigQuery across AWS/GCP/Azure—while scaling sales and engineering headcount. Pain points center on go-live execution, enterprise implementation complexity, and reducing unnecessary customizations, suggesting the platform is moving upmarket from SMB toward larger deployments where configuration management and deployment velocity matter most.

Tech Stack 142 technologies

Core StackJava Spring React Node.js Oracle Google Ads Meta Ads LinkedIn Ads Terraform CloudFormation Python AWS Docker Kubernetes Hibernate Cursor Kafka eSocial Sankhya ERP Microsoft Project YouTube Ads Spring Boot Shell Script GCP OCI BPMN Spring MVC Spring Data Spring Security Codex+101 more
AdoptingLangChain BigQuery Databricks AWS LlamaIndex GCP Azure

What Sankhya Is Building

Challenges

  • Reducing unnecessary customizations
  • Meeting go-live sla
  • Expanding revenue
  • Reducing employee turnover
  • Implementing erp in enterprise clients
  • Implementing erp solutions
  • Medium to large client acquisition
  • Aligning hr processes with best practices
  • Maintaining profitability through cost control
  • Ensuring compliance with labor laws

Active Projects

  • Sankhya erp implementation
  • Hcm payroll implementation
  • Erp implementation for enterprise clients
  • Implementation project
  • Client support
  • Go-live stabilization of payroll system
  • Weekly tax news publication on spednews
  • Internal ticketing for improvements and new apps
  • Mapping regulatory impact on internal tools
  • Composable erp modules (logistics, finance, other pbcs)

Hiring Activity

Accelerating60 roles · 55 in 30d

Department

Sales
23
Engineering
18
Marketing
5
Ops
4
Support
4
HR
3
Data
2
Consulting
1

Seniority

Senior
24
Mid
20
Manager
8
Lead
5
Junior
4

Notable leadership hires: Tech Lead, Branding & Go-to-Market Head, Head of Events

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About Sankhya

Sankhya builds enterprise resource planning (ERP) and human capital management (HCM) software for Brazilian businesses. The product suite includes core modules for payroll, general ledger, logistics, and finance, with a payroll product currently in active go-live cycles across the customer base. Customers range from mid-market to large enterprises; Sankhya's business model combines software licensing with implementation services and consulting. The company operates exclusively in Brazil, with headquarters in Uberlândia, MG, and currently maintains 1,001–5,000 employees across sales, engineering, and delivery functions.

HeadquartersUberlândia, MG
Company Size1,001–5,000 employees
Founded1989
Hiring MarketsBrazil

Frequently Asked Questions

What tech stack does Sankhya use?

Sankhya's core platform runs on Java, Spring, React, and Node.js, with Oracle as the primary database. Infrastructure is deployed on AWS, GCP, and OCI using Docker, Kubernetes, CloudFormation, and Terraform. The stack includes Spring Boot, Hibernate, and Spring Security for backend services, plus Kafka for messaging.

What is Sankhya working on?

Current projects focus on ERP implementations for enterprise clients, payroll system go-live and stabilization, modular composable ERP features (logistics, finance), and reducing unnecessary customizations. The company also publishes tax regulatory news and is mapping labor law compliance requirements into internal tooling.

How this profile is built

Sankhya's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.