T
Trusting Social Tech Stack
AI credit scoring and embedded finance for emerging markets
Trusting Social operates an AI fintech platform focused on credit assessment and financial inclusion across Southeast Asia and India. The tech stack—Python, TensorFlow, PyTorch, Kubeflow, Apache Airflow, and now FastAPI + SQLAlchemy + Redis—reflects a mature ML infrastructure supporting both training pipelines and real-time inference at scale. Current hiring emphasizes product (29 roles) and data (12 roles) over engineering (11 roles), signaling a shift toward deployment and monetization of existing ML models rather than platform expansion.
Tech Stack 98 technologies
Core StackLooker Cursor Python Jira Confluence C++ Java JavaScript Linux Docker TensorFlow PyTorch Pandas NumPy Kubeflow Apache Airflow GitHub FastAPI Claude SQL Git MXNet ONNX JupyterHub OpenCV Triton WebRTC WebSockets AsyncIO Meta+66 more
What Trusting Social Is Building
◆Challenges
- Improving conversion rates
- Fraud prevention
- Platform reliability
- Expanding credit access to underbanked consumers
- Scaling compliance for ai-native collections
- Reducing funnel drop-offs
- Scaling digital marketing performance for credit products
- Optimizing roi and cost efficiency
- Expanding credit access in emerging markets
- Ensuring compliance with evolving regulations
▲Active Projects
- Digital identity verification products
- Credit card partnership acquisition
- Event execution
- Live operations configuration
- Self-service user flows for payment plans, disputes, document management, and account operations
- Mx-market discovery
- Scalable intelligent analytics products
- Ai conversational experience platform
- Microservices api data pipeline platform
- Evo credit card onboarding and payment flows
Hiring Activity
100 roles · 25 in 30d
Department
Seniority
Notable leadership hires: Chief Executive Officer, Chief of Staff, Product Director, Engineering Director, Human Resource Director
Company intelligence
