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Highbrow Technology Inc Tech Stack
AI model evaluation and data annotation services for GenAI deployment
Highbrow Technology Inc. builds evaluation and annotation infrastructure for generative AI systems, with active projects spanning LLM evaluation frameworks, dataset validation, and quality benchmarking. The tech stack spans legacy enterprise platforms (Workday, SAP, CICS, COBOL, DB2) alongside modern AI tooling (Python, Node.js, React), and hiring is heavily weighted toward data roles (23 of 66 open positions) — a pattern consistent with teams solving model quality and hallucination problems at scale.
Tech Stack 121 technologies
Core StackKotlin Python C++ JavaScript Node.js TypeScript Docker Linux Cursor GitHub Copilot React SAS Workday Android C DB2 VSAM COBOL CICS Bash Git CodeWhisperer HTML5 CSS D3.js Chart.js Recharts CI/CD CANopen CDISC+88 more
What Highbrow Technology Inc Is Building
◆Challenges
- Inaccurate model outputs
- Migration & consolidation
- Delivery effectiveness improvement
- Hallucinations in llm outputs
- Regressions in llm outputs
- Failure modes in llm outputs
- Quality of ai outputs
- Modernizing our software stack
- Ensuring reliable real-time messaging
- Reducing downtime due to errors
▲Active Projects
- Sxs evaluations on ghd
- Ghd evaluation
- Llm evaluation framework
- Audio content validation for genai dataset
- Ai evaluation project
- Ai personalization quality evaluation
- Evaluation and annotation workflows
- Firmware hardware integration
- Reinforcement learning workflow interface
- Visualization platform for training, evaluation, and benchmarking results
Hiring Activity
65 roles · 35 in 30d
Department
Seniority
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