Enterprise AI suite for teams that need production, not pilots. The Xenith stack: AI assistant, autonomous agents, RAG, LLM platform, voice AI, vision AI, private on-premise AI, and a market intelligence suite that shows where AI revenue is actually growing. Services: LLM development, AI agents, RAG, MLOps, automation, fractional CTO. We ship working systems in 4–12 weeks. Not decks.
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Hunter
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Hey Product Hunt 👋 — I'm Satya, founder of Xenqube.
I started this after watching enterprise teams spend 6–18 months on AI "pilots" that never shipped.
Procurement cycles longer than product development. Committees debating GPT-4 vs Claude while
competitors moved.
So we built Xenqube around one constraint: production in 51 hours or less for the first working version.
Not a demo. Not a wireframe. A working system your team can use on Monday.
The Xenith suite is what we built internally while shipping for clients — AI assistant, agents, RAG,
LLM platform, voice AI, private on-premise stack, and our Intelligence Suite that tracks which AI
markets are genuinely growing vs. which ones are hype.
Would love your honest feedback. What's your biggest AI adoption bottleneck right now?