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Stockmark Inc. Tech Stack
AI agents and data structuring for manufacturing enterprises
Stockmark builds AI-powered tools for manufacturing and enterprise data workflows. The stack—Python, BERT, Spark, Elasticsearch, plus cloud-native infrastructure across AWS and GCP—reflects a heavy NLP and ML orientation, with active work on LLM integration and knowledge graph construction. Hiring is accelerating across engineering and sales (31 roles posted in the last 30 days), yet leadership gaps surface in the pain list (lack of ML team leader, insufficient engineering capacity), suggesting the org is scaling faster than senior technical depth.
Tech Stack 46 technologies
Core StackPython TypeScript Rust Node.js Docker AWS AWS Lambda Hadoop Apache Spark Terraform Elasticsearch Go gRPC GraphQL Ruby on Rails Vue Flutter AWS RDS MySQL BERT GCP AWS ECS AWS Fargate AWS Step Functions Google Cloud Functions Cloud Run OpenAPI SQL Aurora Amazon Cognito+16 more
What Stockmark Inc. Is Building
◆Challenges
- R&d user challenges
- Lack of ml team leader
- Scaling engineering organization
- Optimizing distributed ml performance
- Insufficient engineering capacity
- Generative ai adoption challenges
- Deepening existing customer relationships
- Difficulty deciding data enrichment
- Accuracy issues in content selection
- Redefine existing markets
▲Active Projects
- Llm new business
- Anews api development
- Astrategy saas product
- News article structuring
- Japanese llm dataset creation
- Knowledge graph construction
- Anews product usage sessions
- Web crawler and document delivery pipeline
- Product development team integration
- Content extraction engine pipeline development
Hiring Activity
55 roles · 30 in 30d
Department
Seniority
Notable leadership hires: Product VP, Chief Revenue Officer
Company intelligence
