Compare
Parallel Chat
Send one prompt to multiple frontier models and catch blind spots before you trust an answer.
Claude Fable 5
GPT-4o
Gemini 1.5 Pro
Atlus AI — Work with Every Frontier Model in One Parallel Workspace.Parallel Workspace.
Prompt once, compare the best frontier models side-by-side, and turn the strongest answers into actionable documents without tab-hopping.
Running:
⚡ Connectors
Integrate with favorite tools
1000+ top apps are available to integrate seamlessly with your workflow.
The real problem
AI work breaks when the workflow is scattered.
The weak assumption is that more models alone create better work. They do not. The advantage comes from routing, comparing, verifying, and turning the result into something usable.
Before Atlus
Tabs, copies, and half-trusted answers.
Prompt copied into separate assistants
Sources checked in another tab
Reasoning compared manually
Outputs pasted into docs or code tools
With Atlus
One command center for research, models, tools, and output.
Prompt
Compare
Research
Council
Tools
Artifact
Power workspace
The features are connected for a reason.
A serious AI workspace should not stop at a chat response. Atlus connects comparison, verification, action, memory, and export into one flow.
Agentic Chat
One prompt. Autonomous loop execution.
Atlus AI operates with true agency. The model coordinates web searches, documentation crawling, sandbox code execution, and document creation in a seamless multi-step loop.
Research and Ingest
Autonomously search the live web, fetch articles, and crawl full documentation sites for high-fidelity context.
Execute & Analyze
Write and run Python code in a secure server-side sandbox to analyze data, verify math, and render charts.
Visualize & Export
Convert answers into interactive UI previews (Artifacts) or export production-ready PDF, DOCX, or Excel documents.
Live workspace graphRunning
Step 01
Prompt
User input query
Step 02
Web Search
Query live sources
Step 03
Web Fetch
Crawl documentation
Step 04
Python Sandbox
Execute server-side code
Step 05
Interactive UI
Render side previews
Step 06
Memory Save
Store vector context
status: agentic-loop-success (12 steps)
generated: market-analysis.pdf + preview.html
memory: saved research preferences to pgvector
Model Council
Multiple models deliberate. One answer emerges.
Hard decisions deserve more than one opinion. Council runs 2–5 frontier models through a structured 3-stage pipeline — independent ideation, blind peer review, and chairman synthesis — to produce a response stronger than any single model could.
3-stage pipeline
01
Parallel Ideation
All members answer independently
02
Blind Peer Ranking
Anonymous A/B/C judging — bias stripped
03
Chairman Synthesis
Top-ranked model writes the final answer
Claude
Nuanced reasoning
GPT-5
Structured execution
Gemini
Citation depth
Grok
Speed & cost
Chairman Synthesis
by Claude · auto-selected
"All models agreed on the core risk framework [agree:4/4]. GPT-5's timeline ranked highest [agree:3/4]."
Full provenance Export ready
No API-key maze
Start with the built-in model access instead of wiring every provider account yourself.
Workflow over hype
The page is not promising magic. It shows the actual path: compare, research, deliberate, act.
Made for switching costs
Keep your work in one place while still choosing the model that fits each task.
Testimonials
What our users say
Discover how thousands of teams streamline their operations with our platform.
I was skeptical about switching from my usual setup, but parallel chat changed everything. I run three research threads simultaneously now and each one gets the full attention it deserves.
Deep Research cut my market analysis time by half. The citations are what sold me — I can actually verify claims instead of just trusting an AI output blindly.
Model Council is the feature I didn't know I needed. Having multiple models cross-check each other catches edge cases that a single model would miss.
The connectors saved our team from context-switching hell. Notion, Gmail, Drive — everything lives in one place now and I don't have to explain the workflow to new hires.
Honestly, I tried a dozen AI tools before this. The difference is that Atlus feels like a workspace, not a chatbot. The artifacts alone are worth the switch.
We replaced three separate subscriptions with Atlus. The parallel chat alone saves me about an hour every day — that adds up fast when you're billing clients.
What I appreciate most is that it doesn't try to be everything. The memories feature learns my preferences without me having to repeat myself each session.
The Model Council feature saved us from deploying a flawed analysis last quarter. It flagged statistical anomalies that our team had overlooked.
I recommended Atlus to my entire department after one week. The onboarding is smooth and the support team actually knows the product inside out.
Plans
Start simple. Upgrade when the workflow earns it.
The full pricing page carries the details; the homepage keeps the decision clean.
Free
FreeGet started with core models and explore the workspace.
- Access to standard models
- Parallel chat (2 models)
- Basic web search
- 5 artifacts per month
- Community support
Starter
$Premium models and deeper research for everyday work.
- Everything in Free
- Premium frontier models
- Parallel chat (up to 4)
- Deep Research workflows
- Unlimited artifacts
- Priority support
ProPopular
$Everything in Atlus, with full council mode and connectors.
- Everything in Starter
- Full Model Council mode
- All connectors
- Python & code execution
- Persistent memories
- Team workspaces
Secured & processed by
Objections
Questions a serious buyer should ask.
One model can be excellent and still miss a framing, source, or implementation detail. Atlus lets you compare answers across models side by side, so you catch what a single assistant would miss. It's the difference between asking one expert and consulting a panel.