A
Arrayo Tech Stack
Data services and automation for financial and life sciences firms
Arrayo delivers data strategy and integration work to Financial Services and Life Sciences organizations, with a tech stack built on Python (FastAPI/Flask/Django), PostgreSQL/MongoDB, React/Vue, and cloud infrastructure (AWS/GCP/Azure). The project list reveals heavy automation and laboratory-systems integration work—regulatory reporting pipelines, instrument lifecycle management, and AI-powered scientific workflows—paired with ongoing data governance and risk-system modernization. Hiring is senior-weighted and accelerating, concentrated in engineering and sales, signaling growth in delivery capacity and business development.
Tech Stack 34 technologies
Core StackPython FastAPI Flask Django React Vue Webpack Vite PostgreSQL MySQL MongoDB Redis GitHub Actions CircleCI GitLab CI/CD AWS Docker Kubernetes GraphQL AxiomSL Babel ESLint HTML5 CSS Sass Git GCP Azure Apollo Client WebSockets+2 more
AdoptingLabVantage
What Arrayo Is Building
◆Challenges
- Data gaps remediation
- Latam inflation product implementation
- Inflation index integration into risk systems
- Maintaining compliance in automated lab workflows
- Integrating automation platforms with lab systems
- Troubleshooting complex automation workflows
- Fragmented workflows
- Complex scientific tasks
- Migrating legacy data
- Optimizing user adoption
▲Active Projects
- Regulatory reporting transformation
- Data gap analysis
- Latam inflation product implementation
- Risk system integration design
- Validation of hamilton venus liquid handling platform
- Implementation of automated instrument lifecycle management
- Integration of automation platforms with laboratory systems
- Ai-powered scientific workflows for materials analysis
- Real-time data pipelines for experimental data
- Intelligent integrations between industrial hardware and enterprise platforms
Hiring Activity
8 roles · 5 in 30d
Department
Seniority
Company intelligence
