Straive Tech Stack

Data analytics and AI operationalization for Fortune 500 enterprises

Business Consulting and Services Singapore 10,001+ employees Founded 1980 Privately Held

Straive operationalizes data analytics and AI systems for large enterprises across banking, retail, pharma, and supply chain. The tech stack reveals a mature ML engineering practice (Python, TensorFlow, PyTorch, scikit-learn) paired with heavy cloud data infrastructure adoption (Snowflake, AWS, Kafka, Apache Airflow), signaling a shift toward automated, scalable AI pipelines. Active hiring is concentrated in data (52 roles) and engineering (33), with mid- and senior-level seniority dominating—consistent with delivery-focused delivery of complex analytics and AI projects to Fortune 500 clients.

Tech Stack 182 technologies

Core StackPython SAP Oracle NumPy scikit-learn TensorFlow PyTorch Snowflake SQL Server GitLab Jenkins Java ServiceNow Jira Confluence Tableau Power BI Angular Claude OpenCV Git PowerPoint Excel FeatureSpace Falcon Qlik Sense SQL 3D Secure Word Outlook+151 more

AdoptingAWS AWS Glue Apache Airflow Kafka Cursor OneLake Control-M Amazon Kinesis+3 more

What Straive Is Building

◆Challenges

Migrating legacy databases to inhouse data warehouse
Ensuring compliance with dora
Ai hallucinations and safety concerns
Reducing hallucinations
Manual bottlenecks in payroll processes
Reducing fraud incidents
Improving fraud detection accuracy
Process inefficiencies
Trust and safety risks
Reducing fraud losses

▲Active Projects

Fraud reporting and monitoring
Credit risk model development
Audio preference evaluation and music annotation initiative
Fraud detection rules for debit and credit cards
Data migration to inhouse data warehouse
Generative ai integration into production systems
Design data pipelines for inhouse data warehouse
Media relations program in us & india
Guest article scouting in europe, us and apac
Fraud risk presentations

Hiring Activity

Accelerating210 roles · 110 in 30d

Department

Data

Engineering

Ops

Support

Finance

Marketing

Design

Seniority

Mid

Senior

Junior

Lead

Manager

Intern

Notable leadership hires: Engagement Lead, Team Lead, Project Lead

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About Straive

Straive is a global AI and data analytics services company headquartered in Singapore with over 10,000 employees across nine countries: the Philippines, India, the United States, Nicaragua, Vietnam, the United Kingdom, South Africa, and Canada. The firm operationalizes data analytics and AI solutions embedded into client workflows, serving Fortune 500 companies and mid-market enterprises. Straive expanded capabilities through acquisitions: Gramener (November 2023) in data science and design, and SG Analytics (June 2025) in AI-powered insights and contextual analytics. Core verticals include banking and financial services, retail and media, EdTech, science and research, logistics and supply chain, and pharma and life sciences.

HeadquartersSingapore

Company Size10,001+ employees

Founded1980

Hiring MarketsUnited States, India, Canada, Philippines, Mexico, Nicaragua, Colombia, Malaysia

Frequently Asked Questions

What is Straive's tech stack?

Core languages and ML: Python, Java, SQL. ML frameworks: TensorFlow, PyTorch, scikit-learn, OpenCV. Data platforms: Snowflake, Oracle, SAP, SQL Server. Cloud and streaming: AWS (adopting), Kafka, Apache Airflow, AWS Glue. BI tools: Tableau, Power BI, Qlik Sense. CI/CD: Git, GitLab, Jenkins.

What is Straive working on?

Active projects span fraud detection and risk modeling (fraud reporting, credit risk models, debit/credit card fraud rules), generative AI integration into production, data warehouse migration, and music annotation services. Concurrent pain points: legacy database migration, DORA compliance, AI hallucination reduction, and fraud detection accuracy.