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Amivero Tech Stack
AI and automation platform for government national security missions
Amivero builds AI and fraud-operations software for U.S. government and national security contractors. The tech stack reveals a company scaling toward modern data infrastructure—Python, pandas, scikit-learn for modeling; Databricks, Hadoop, Cloudera for pipeline work; plus vector databases (Pinecone, Weaviate, Chroma, FAISS) and AWS Bedrock for LLM integration. Active hiring is heavily weighted toward senior engineers (11 of 20 roles) and skews toward engineering and data (12 combined), suggesting both delivery pressure on government contracts and internal buildout of ML/automation capabilities.
Tech Stack 109 technologies
Core StackPython pandas NumPy scikit-learn Tableau Databricks Hadoop React React Native JavaScript AWS Figma PostgreSQL iCIMS Pinecone Weaviate Power Platform Power Apps Power Automate Power BI GitLab LinkedIn Ads LexisNexis Bedrock Cloudera Material-UI OpenSearch Chroma FAISS SharePoint Online+78 more
What Amivero Is Building
◆Challenges
- Modernizing legacy government it systems
- Streamlining program processes
- Optimizing data retrieval pipelines
- Maintaining accuracy and efficiency within recruiting process
- Modernizing mission-critical systems
- Inventory discrepancies and shortages
- Adapting to evolving fraud schemes
- Detecting identity fraud
- Scaling genai applications
- Automating process execution
▲Active Projects
- Vector database search implementation
- Develop data science function
- Automating repetitive tasks
- Develop fraud analytic models
- Implement fraud monitoring and alerting
- Develop fraud response plan
- Mobile app development for android and ios
- Cloud infrastructure on aws
- Ui/ux design with figma and material ui
- Llm integration into enterprise systems
Hiring Activity
20 roles · 20 in 30d
Department
Seniority
Company intelligence
