Trustana Tech Stack

AI-powered product data management and syndication for e-commerce

Software Development Singapore 11–50 employees Founded 2020 Privately Held

Trustana operates a product information management platform aimed at retailers and distributors who struggle with fragmented, incomplete product catalogs. The tech stack reveals a machine-learning-first architecture: PyTorch, TensorFlow, and multiple LLM providers (OpenAI, Anthropic, Hugging Face, Qwen) paired with vector databases (Pinecone, Weaviate, FAISS) and RAG pipelines — indicating heavy investment in AI-driven enrichment and classification. Active projects centered on LLM workflows, inference pipeline scaling, and catalog automation align with their stated pain points around data quality and managing product data at scale.

Tech Stack 24 technologies

Core StackPlaywright Cypress Selenium JavaScript TypeScript Python PyTorch TensorFlow OpenAI Anthropic Hugging Face Pinecone Weaviate RAG Postman Cursor Make Figma CI/CD Qwen FAISS LinkedIn Claude

What Trustana Is Building

◆Challenges

Reducing flaky tests
Improving test reliability
Product data management inefficiencies
Scalable inference pipeline challenges
Accuracy latency cost optimization
Managing product data at scale
Improving product data quality
Messy fragmented catalogs
Complex b2b workflows
Data-heavy workflows

▲Active Projects

Sell trustana saas product
Automated test framework development
Ci/cd pipeline automation
Refine go-to-market strategies and sales materials
Llm solutions for product classification, enrichment, and workflow automation
Scalable inference pipelines and apis for ai features
Model performance benchmarking and optimization
Customer onboarding and data setup
Proof-of-concept ai workflows for catalog enrichment
Ai-generated product data workflow design

Hiring Activity

Accelerating9 roles · 5 in 30d

Department

Sales

Engineering

Product

Support

Seniority

Mid

Senior

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About Trustana

Trustana is a SaaS platform for managing and enriching product data across e-commerce channels. Founded in 2020 and seeded by Temasek, the company serves mid-market and enterprise retailers, distributors, and brand owners who need to unify, enrich, and syndicate product information across multiple sales channels. The product handles the full product data lifecycle: aggregating first-party data, filling information gaps with AI, generating localized marketing content, and enabling cross-channel syndication. The team of 11–50 is Singapore-based with hiring activity across Malaysia, Vietnam, Japan, Canada, the United States, and Australia.

HeadquartersSingapore

Company Size11–50 employees

Founded2020

Hiring MarketsMalaysia, United States, Japan, Canada, Vietnam, Australia

Frequently Asked Questions

What tech stack does Trustana use?

Trustana builds on Python and TypeScript with PyTorch and TensorFlow for ML, integrates multiple LLM providers (OpenAI, Anthropic, Hugging Face, Qwen), and uses vector databases including Pinecone, Weaviate, and FAISS. Testing relies on Playwright, Cypress, and Selenium with CI/CD automation.

What is Trustana working on?

Active projects include LLM-based product classification and enrichment, scalable AI inference pipelines and APIs, automated test framework development, CI/CD automation, and go-to-market strategy refinement. Internal focus areas are test reliability, inference pipeline optimization, and product data quality at scale.