Cruq AI

Building the infrastructure for frontier AI and agentic layer for enterprise data

[Cruq AI @cruq_ai]

Bring your own model providers, design agents visually, and ship them to production with guardrails and monitoring built in.

Check this out: https://t.co/FJObjC5BZq

[Cruq AI @cruq_ai]

“They treat us like family.”

Every enterprise AI agent after the 10th integration request. 😅

[Cruq AI @cruq_ai]

Enterprise AI needs permissions just like humans do.

Your agent shouldn't become a shortcut around existing security boundaries.

Think:

Identity → Authentication → Authorization → Data → Tools

AI should operate within the user's authorised data and actions.

[Cruq AI @cruq_ai]

RAG and AI agents aren't competitors.

RAG retrieves information.

Agents can:

→ Understand a goal
→ Plan
→ Retrieve data
→ Use tools
→ Make decisions
→ Execute actions

RAG can simply become one of the tools an agent uses.

[Cruq AI @cruq_ai]

Most companies start enterprise AI with:

“Which LLM should we use?”

Wrong question.

Start with:

“What business problem actually requires an agent?”

Not every AI use case needs an agent. Sometimes an LLM or RAG is enough.

[Cruq AI @cruq_ai]

@satyanadella This is where agentic computing gets real.

[Cruq AI @cruq_ai]

@ChinaMacroFacts Outcome-based pricing changes everything.

[Cruq AI @cruq_ai]

@googlecloud This is where AI makes shopping feel truly personal.

[Cruq AI @cruq_ai]

@emollick The pace of AI change is absolutely insane.

[Cruq AI @cruq_ai]

@Google @GoogleDeepMind This is a massive leap for AI video understanding.

[Cruq AI @cruq_ai]

@databricks This is where AI agents become truly enterprise-ready.

[Cruq AI @cruq_ai]

@PalantirTech the right infrastructure is required

[Cruq AI @cruq_ai]

@GoogleCloudTech Great hands-on way to learn MCP and build smarter agents.

[Cruq AI @cruq_ai]

The real AI transformation starts when AI can do more than generate answers.

It needs to:
→ Connect to trusted data
→ Understand context
→ Use enterprise tools
→ Execute workflows across systems
→ Turn decisions into action
→ Deliver measurable business impact

From RAG and AI agents to enterprise integrations and automated workflows, the goal is simple:

Make AI useful where real business decisions happen.

[Cruq AI @cruq_ai]

@Optimus_RH @Tesla_Optimus @teslaownersSV @Teslaconomics

[Cruq AI @cruq_ai]

hearing its uptember.

[Cruq AI @cruq_ai]

@shengkunye

[Cruq AI @cruq_ai]

September is tomorrow.

New month. New goals. New energy.

[Cruq AI @cruq_ai]

Cruq AI builds AI agents that learn, adapt, and keep improving instead of giving up at the first hurdle.

[Cruq AI @cruq_ai]

POV: You gave your AI agent one job… and it broke down before the finish line. 🤖

That’s why self-learning matters.

[Cruq AI @cruq_ai]

When you realise Cruq AI can build self-learning AI agents that automate your operations…

Suddenly, “we need more people” becomes “we need better agents.”