Atomic Chat
Claimed
Agent52Agent Readiness: 52/100. Top 25%. Measured by StartupHub.ai. Median 41.Trust77Data Trust: 77/100. Above median. Measured by StartupHub.ai. Median 61.Run LLMs locally, offline, and privately with no rate limits or subscriptions.
About
Atomic enables users to run large language models (LLMs) like Llama, Qwen, and DeepSeek directly on their devices, ensuring 100% offline privacy and no data leaves the user's machine. It supports over 1000 models from the Hugging Face ecosystem and offers features like custom AI assistants.
Listed competitors
Open-source, privacy-focused AI assistant that runs locally on your hardware.
Run large language models locally on your machine.
LM Studio is a local AI toolkit that allows users to discover, download, and run large language models like Llama and DeepSeek directly on their personal computers for private, offline use.
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Key facts
- Website
- atomic.chat
- Founded
- 2023
- Employees
- 6
- Business model
- B2C
Tech stack
Detected on atomic.chat, last scanned 26 Oct 2026. Run your own scan
- Analytics
- Google Analytics 4, Google Tag Manager, Microsoft Clarity
- CMS / Builders
- Webflow
- CDN
- Cloudflare
- Email provider
- Google Workspace
Atomic Chat scores 58. Does yours?
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5 reviews from Reddit gathered in one place
Qwen won on every dimension - biggest jump, 9× cheaper than Claude, 2× cheaper than GPT. Long agentic loops is where Qwen Max actually delivers. Open source Local Ai app: Atomic.Chat
Implemented Multi-Token Prediction for QWEN on LLaMA.cpp with TurboQuant. +40% performance! 90% acceptance rate. Running locally on a MacBook Pro M5 Max 64GB RAM. Outputs: LLaMA.cpp + TurboQuant: 21 tokens/s LLaMA.cpp + TurboQuant + MTP: 34…
Hey everyone — first public Gemma 4 MTP bench on consumer Blackwell mobile that I'm aware of (RTX 5090M Laptop GPU, sm_120, 24GB GDDR7 — the GPU in the new Olares One). Both stacks now have working Gemma 4 MTP support, so I tested all three…
Implemented Multi-Token Prediction for LLaMA.cpp. Quantized Gemma 4 assistant models into GGUF format. Ran tests on a MacBook Pro M5Max. Gemma 26B with MTP drafts tokens 40% faster. Prompt: Write a Python program to find the nth Fibonacci n…
Previously, it was basically impossible to handle large context prompts on this device. But with the new algorithm, it now seems feasible. Imagine running OpenClaw on a regular device for free! Just a MacBook Air or Mac Mini, not even a Pro…
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Frequently asked
Is Atomic Chat trustworthy and reputable?
StartupHub's Data Trust & Reputation score for Atomic Chat is 77 out of 100, a generally safe rating, based on site security posture, privacy practices, malware and phishing checks, and public reputation signals.
How many employees does Atomic Chat have?
Atomic Chat has approximately 6 people on record.
Public record
SEC filings, insider activity, nonprofit links and pay benchmarks for Atomic Chat
