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Oraion built an AI-native data platform using LangChain, LangGraph, and LangSmith to surface actionable insights from fragmented enterprise data. The stack reveals a company focused on LLM application patterns—RAG pipelines, agent automation, fine-tuning—rather than infrastructure. Active hiring across engineering, sales, and data suggests product-market validation is driving early-stage scaling, though hiring velocity remains cautious (2 roles in 30 days across a 11–50-person team).
Tech Stack 13 technologies
What Oraion Is Building
◆Challenges
- Deploying ai agents to production
- Optimizing ai workflows for latency
- High-scale multi-tenant environment
- Permissions and access control
- Data ingestion pipelines
- Automating repetitive tasks
- Optimizing client data
- Expanding enterprise pipeline
▲Active Projects
- Scalable rag pipelines
- Llm fine-tuning for enterprise tasks
- Ml pipelines for nlp tasks
- Permissions and access control layer
- Data ingestion pipelines
- Designing analytical models in dbt
- Developing python and sql transformations for datamarts
- Automating repetitive tasks with ai agents
- Build world-class enterprise sales engine
Hiring Activity
5 roles · 2 in 30d
Department
Seniority
Company intelligence
