Pinecone vs Milvus in production
A technical comparison of vector databases for scalable GenAI and enterprise retrieval systems.
LinkedIn
xSingular on LinkedIn
We use LinkedIn to share technical perspectives on production AI systems, agents, Decision Intelligence, and what actually happens when AI is deployed in critical environments. Unfiltered.
Official page
The official xSingular LinkedIn company page is xsingular-ai. That is the primary social channel for the company. Any other account using the xSingular name is not official.
https://www.linkedin.com/company/xsingular-aiWhat we tend to post
Mostly technical takes on AI in production. Sometimes a position on something we feel strongly about. We do not post for engagement — we post when we have something worth saying.
Some recent posts
A few things we have shared recently. Most of them connect to something longer on xTheus if you want to go deeper.
The liquid foundation model era
Why continuous-time architectures matter for edge autonomy, control, and high-stakes operations.
AI pilots are officially over
A positioning post on moving from experimentation to production AI with control, guardrails, and traceability.
The silicon-based workforce thesis
A point of view on agent-native operations, autonomy, and the need for explainability in real production environments.
Agentic AI in 2026–2027
What agentic AI systems actually look like in production: multi-agent architectures, tool use, and operational control frameworks for enterprise deployments.
AI for the enterprise: from pilot to production
Why 87% of enterprise AI projects fail in production and the structural architecture decisions that separate successful deployments from expensive prototypes.
AI agents: types, architecture, and production controls
A technical breakdown of AI agent types — reactive, model-based, goal-based, and LLM-native — and the five minimum safety controls required for production deployment.
Topics we come back to
- Getting AI to work in production, not just in demos.
- Agent systems and what it actually takes to run them responsibly.
- The gap between what foundation models promise and what they deliver.
- Decision-making under uncertainty, traceability, and why guardrails matter.
Looking for xSingular?
xSingular (also known as xsingular-ai on LinkedIn) is an AI engineering company founded in 2025. We specialize in production AI systems with per-decision traceability, executable guardrails, and continuous evaluation. If you found this page by searching "xSingular" on Google, this is the company.