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ContextJet.ai ⚡

AI that ships.

Human insight. Machine scale.

A boutique AI studio building secure, production-grade AI systems for finance and the enterprise — not prototypes.

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We deploy revenue-generating AI systems that amplify human capability at enterprise scale — with security, compliance, and reliability built in. We ship working production software, measured by outcomes, not demos.

12+ systems in production  ·  20+ enterprise clients  ·  $250K+ revenue generated  ·  85% avg. accuracy

🛠️ What We Build

  • 🏦 AI for Finance — forecasting, document/AML compliance, risk & analytics workflows
  • 🔒 AI Security & Governance — guardrails, PII/prompt-injection defense, auditability & observability
  • 🤖 AI Agents — multi-step, tool-using systems that automate real workflows
  • 🔎 Retrieval (RAG / GraphRAG / vector search) — grounded, accurate answers over your data
  • 🎙️ Voice AI — real-time conversational interfaces
  • 📊 ML Pipelines & Data Engineering — ETL, forecasting, and enterprise integrations (Salesforce, HubSpot, custom APIs)

Serving financial services, healthcare, CPG/tech, retail & fashion, luxury, and import/export compliance.

🌟 Open Source

Project What it is
awesome-llm-observability A curated, research-grounded list of 44+ tools, standards & papers for LLM observability, tracing, evaluation & monitoring.

🤝 Work With Us

  • 🌐 contextjetai.com — start a project
  • ⭐ Star our repos to follow our open-source work
  • 📍 San Diego · Bengaluru
Secure, observable AI for finance and the enterprise. 🛰️

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  1. awesome-llm-observability awesome-llm-observability Public

    50+ curated LLM observability tools PLUS 26 Agent Skills (several with runnable, unit-tested scripts) to build, evaluate, debug, secure & monitor reliable LLM apps. Tracing, evals, guardrails, LLMOps.

    Python 14 2

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