O
OWOW Tech Stack
AI-powered talent marketplace with global hiring and payroll infrastructure
OWOW pairs reinforcement-learning-driven task design and vector search (Milvus + Sentence Transformers) with real-time conversation processing to match experts to hiring workflows. The stack reveals a company building AI agent coordination at scale—PyTorch, vLLM, MLflow, and Neo4j power both the recruitment matching layer and internal RL training loops. Early-stage (founded 2024, 11–50 people) but hiring across data, sales, and engineering with mid-to-senior seniority, suggesting they're scaling past prototype into production infrastructure.
Tech Stack 37 technologies
Core StackPython MongoDB Redis Neo4j BigQuery Apache Airflow Prefect Pandas Apache Spark dbt MLflow PyTorch TensorFlow Docker Kubernetes Terraform GitHub Actions GitLab CI/CD MySQL PostgreSQL Power BI Tableau Milvus Polars vLLM Sentence Transformers GCP SQL Git Looker Studio+7 more
What OWOW Is Building
◆Challenges
- Scaling affordable housing platform
- Housing shortage
- Migrating legacy systems
- Optimizing high-throughput systems
- Pipeline bottlenecks
- High-intent prospect conversion
▲Active Projects
- Rl training task design
- Rapid task iteration
- Scenario creation for llm testing
- Standardized underwriting tools
- Project progress tracking
- Lihtc application process
- Real-time conversation processing platform
- Legacy system data migration
- Vector search system
- Grow north american market for virtual events platform
Hiring Activity
7 roles · 6 in 30d
Department
Seniority
Company intelligence
