Zeer LiquidMetal AI / intent / liquidmetal-ai

LiquidMetal AI

1-10 employees·Washington, California, United States·liquidmetal.ai

Observed, not inferred · updated weekly

Buying intent

211 tracked signals | Top 15 topics are below | Sales is carrying most of it.

143signals · 30 days
79topics tracked
100%attributed to a team

Attention by team

LinkedIn activity, by team

Where LiquidMetal AI's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.

Artificial Intelligence
AI Agent Software
Agentic AI System
Retrieval-Augmented Generation (RAG)
Open Source
Customer Relationship Management (CRM)
Sales
High50% of team Sales to Artificial Intelligence: High, 50% of this team's signals
Medium17% of team Sales to AI Agent Software: Medium, 17% of this team's signals
Low15% of team Sales to Agentic AI System: Low, 15% of this team's signals
Low8% of team Sales to Retrieval-Augmented Generation (RAG): Low, 8% of this team's signals
Low6% of team Sales to Open Source: Low, 6% of this team's signals
Low4% of team Sales to Customer Relationship Management (CRM): Low, 4% of this team's signals
LowMediumHigh·  banded against the busiest pairing on this page

Topics being researched

30-day window

Every tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.

Artificial Intelligence
LinkedIn
High volume
96%
last
10d ago
AI Agent Software
LinkedIn
Medium volume
96%
last
11d ago
Agentic AI System
LinkedIn
Low volume
98%
last
10d ago
Retrieval-Augmented Generation (RAG)
LinkedIn
Low volume
98%
last
10d ago
Open Source
LinkedIn
Low volume
98%
last
13d ago
Customer Relationship Management (CRM)
LinkedIn
Low volume
98%
last
21d ago
Use Case
LinkedIn
Low volume
98%
last
11d ago
Generative AI
LinkedIn
Low volume
98%
last
10d ago
Deep Learning
LinkedIn
Low volume
96%
last
22d ago
AI Infrastructure
LinkedIn
Low volume
97%
last
16d ago
Computer Vision
LinkedIn
Low volume
98%
last
10d ago
Enterprise Data Management
LinkedIn
Low volume
98%
last
13d ago
Product Management
LinkedIn
Low volume
98%
last
16d ago
AI for Visual Media
LinkedIn
Low volume
98%
last
10d ago
Agile Methodology
LinkedIn
Low volume
98%
last
20d ago

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Who's active at LiquidMetal AI

verified title on file

Titles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.

Sales1 active
researching Artificial Intelligence
in

Primary products / business lines

LinkedIn company profile

LiquidMetal AI provides a yield control plane designed to optimize GPU utilization in AI factories, helping operators minimize revenue losses by addressing yield gaps effectively.

Top accounts researching LiquidMetal AI

names withheld on the public page

These are companies whose own people brought up LiquidMetal AI unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.

151,426 companies · 839,012 people are researching Artificial Intelligence

LiquidMetal AI's own team shows 60 signals on this topic. No one outside LiquidMetal AI has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • AI Agent Software25,734 cos · 91,495 people
  • Agentic AI System32,339 cos · 130,942 people
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Buyer profile

company size · seniority

Company size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.

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Company-size breakdown and buyer seniority mix for accounts researching LiquidMetal AI.

Company size breakdown
Buyer seniority mix

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What's been said

public posts by LiquidMetal AI's team

No public post naming LiquidMetal AI has surfaced in the past year, so this is what LiquidMetal AI's own team is posting about publicly — their topics, in their words.

LinkedInArtificial Intelligence

Hi, I'm Basia. I haven't opened ChatGPT in 8 months. This is either addiction or great business: I run my whole company on one AI tool now. No, Anthropic isn't paying me (I checked) I just kept replacing workflows - writing, research, design, automation, code - and every single one ended up at Claude. (I'm on every Anthropic product I can find, and I've vibecoded my own agents, built custom skills, designed my infographics, run my budget in Claude , etc. A therapist would call this a problem.) Here's what I've replaced in 12 months: 1️⃣ Writing & strategy: ChatGPT → Claude ↳ Holds the thread across 50-page docs without losing the plot. ↳ Will tell you when your idea is weak instead of cheering you on. 2️⃣ Research & search: Perplexity → Claude (Research mode) ↳ Pulls citations, structures the brief, and writes it back to you. ↳ One pass instead of 14 browser tabs. 3️⃣ Design & decks: Canva + Gamma → Claude (Artifacts + Skills) ↳ Infographics, one-pagers, slides — all generated inside the chat. ↳ I built a brand skill that ships my visuals in my own style every time. 4️⃣ Automation & workflows: Zapier → Claude (Skills + Agent SDK) ↳ Skills give Claude reusable capabilities. Agents run them on a schedule. ↳ My weekly content pipeline runs as one agent. No more wiring up zaps. 5️⃣ Building apps & coding: Cursor + Bubble + Lovable → Claude Code ↳ Builds production apps from a description. Ships, iterates, debugs. ↳ I stopped outsourcing builds and just shipped the tools myself. That's 8 tools out, one vendor in. My SaaS bill dropped, my output got faster, and the tab clutter finally died. Either I've stumbled into the best operator setup of 2026... Or I need to stage an intervention on myself. (I'm not staging an intervention.) Which workflow would you move to Claude first? Drop a comment below. ♻️ Repost to help operators in your network simplify their stack. And follow Basia Kubicka for more on building a solo business on one AI stack.

May 2026
LinkedIn

This is how to turn Claude into your private Tutor 👇 Steal these 6 prompts: Most "learn with Claude" advice is useless: "Build me a 20-hour plan." "Make me a cheat sheet." "Quiz me until I break." You're treating Claude like a textbook generator. But that's not what makes it powerful... The shift: stop asking Claude to feed you content. Start asking it to pressure-test your thinking. I've spent the last year learning new skills this way - almost daily. And it's the single biggest unlock I've found. Here are the 6 prompts I actually use: (See the visual for the full breakdown 👇) 1️⃣ Diagnose before you teach ↳ "Before you teach me [topic], ask me 5 questions to figure out what I actually know, what I think I know but don't, and where my blind spots are. Then build the session around those gaps." 2️⃣ Translate into my world ↳ "I'm already deep in [my field]. Explain [topic] using only analogies from that world. And tell me exactly where each analogy breaks." 3️⃣ Teach me the wrong mental models first ↳ "Don't explain [topic]. Tell me the 5 most common ways smart people misunderstand it. Then show me why the wrong model feels intuitive." 4️⃣ Stress-test, don't quiz ↳ "Don't quiz me on definitions. Give me 3 real-world scenarios where the textbook answer is wrong, incomplete, or contested." 5️⃣ Project first, theory second ↳ "Give me a small real project that uses [topic]. Don't teach me anything first. When I get stuck, teach me only what I need to move forward." 6️⃣ Map the territory ↳ "Give me the 30,000-foot map of [topic]: what's settled, what's contested, what's just trendy, and where serious practitioners disagree." The pattern: Every prompt makes YOU do the cognitive work. Claude becomes a sparring partner, not a content vending machine. That's where the speed actually comes from. Which of these 6 will you try first? Drop a comment below. ♻️ Repost to help curious PMs in your network. And follow me ( Basia Kubicka ) for more on building with Claude.

May 2026
LinkedIn

7 steps to build AI Agents from scratch even if you’ve never done it before. I've spent the last few months building agents with Claude Code. And the same 7 steps that used to take me weeks now take an afternoon. (Save this before you build your first one 👇) 1️⃣ Define your use case ↳ One problem. One success metric. Clear boundaries. ↳ Bad scoping = broken agent. Always. 2️⃣ Pick your scaffolding ↳ LangChain, CrewAI, AutoGen, LlamaIndex... or Claude Code. ↳ Pick on complexity, not hype. 3️⃣ Connect your LLM ↳ Claude, GPT, Gemini. Configure params. Set keys. Test responses. ↳ Your agent is only as smart as its brain. 4️⃣ Add tools ↳ Web search. Email. DB queries. APIs. ↳ No tools = no action = just a chatbot. 5️⃣ Add memory ↳ Short-term for the conversation. Vector DB for the long game. ↳ Without it, your agent forgets everything after one turn. 6️⃣ Add a planner ↳ ReAct. Plan-and-Execute. Tree of Thoughts. ↳ This is what controls how your agent thinks and loops. 7️⃣ Add guardrails ↳ Rate limits. Input/output filtering. Human-in-the-loop. Evals. ↳ Skip these and your agent does something you can't explain. Then test, deploy, monitor, improve. That's the full loop. Most beginners skip steps 5, 6 and 7. Then wonder why their agent hallucinates, loops forever, or burns $300 in API calls in one weekend. That's exactly why I built my upcoming LinkedIn Learning course: Vibecoding Your AI Agent with Claude Code. It walks you through it step by step Drops soon - I'll share the link the moment it's live. Which step do you think most builders skip first? Drop it in the comments below. ♻️ Repost to help builders in your network ship their first agent. And follow Basia Kubicka for more on building AI with Claude Code.

May 2026

Leadership changes

Web / press

LiquidMetal AI - 2026 Company Profile, Team, Funding & Competitors - Tracxn

About this data. LiquidMetal AI (liquidmetal.ai). Department attribution is 100%; remaining activity is grouped under Others. Updated 2026-10-03T14:00:03.490Z.

Not yet computedPer-team narrative summaries