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WorkLLM provides one AI platform with organizational memory, AI agents, LLM models, work data, and team collaboration, so everyone can use AI in their daily work without new tools, complex setup, or AI expertise.

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Inside the WorkLLM AI Platform

Every layer removes a specific barrier to AI adoption. Memory gives AI context on your business. Orchestration puts the right model behind every task. Agents get the work done, not just answer questions. Collaboration turns individual wins into team wins. Integrations keep it all connected to the tools you already use.

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The AI Platform layers

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Layer 01: Organizational memory

WorkLLM provides a shared memory layer across your company, so AI starts with the right context instead of a blank page. Good work becomes reusable knowledge that compounds over time.
  • Five tiers of memory: thread, personal, project, team, and org
  • One-click save to memory from any output

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Layer 02: Model orchestration

Access 200+ AI models in one workspace and pick the best model for each task. Compare results side by side and avoid vendor lock-in as models evolve.
  • ChatGPT, Claude, Gemini, Llama, Mistral, and many more
  • Run up to four models on the same prompt to compare answers

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Layer 03: AI agents

Ready-made agents handle everyday work so everyone can complete tasks with AI without prompting expertise. Workflow agents can also run automatically based on events or schedules.
  • Knowledge-based agents answer questions and surface context from memory and connected data
  • Task-based and workflow agents draft, summarize, research, and run on events or schedules

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Layer 04: Team collaboration

WorkLLM makes AI outputs visible and reusable across the company. Teams can co-prompt, give feedback, and turn great results into shared assets.
  • Share or co-prompt in real time and keep everyone on the same page
  • Comment on outputs to add context, feedback, and next steps

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Layer 05: Integrations

Connect the tools your team already uses so AI has the right context from day one. WorkLLM pulls data securely from your stack instead of relying on copy-paste.
  • Google Workspace, Slack, Jira, HubSpot, Notion, Salesforce, and more
  • Automatic context from connected apps, with new integrations added continuously

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Security & data safety

WorkLLM is designed so your team can adopt AI without your data being exposed, shared, or used in ways you didn’t agree to. Security is built into the architecture by default.

Tenant Isolation

Each company receives a fully isolated tenant with strict data boundary controls.

Zero Data Retention Policy

Prompts and responses are not stored or used for model training by any provider.

End-to-End Encryption

All data is encrypted in transit and at rest using industry-grade standards.

Access Controls (RBAC / ABAC)

Define who can use specific LLMs, apps, automations, or shared threads.

Audit Logs & Data Handling Transparency

Detailed logs show what data was sent to AI models, how it was processed, and where it originated.

Input & Output Guardrails

Automatically redact sensitive data, enforce prompt restrictions, and maintain safe output policies across the workspace.

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FAQs

WorkLLM is an AI platform for your entire company. It brings your knowledge, AI models, ready-made agents, and collaboration into one place so people can use AI together in everyday work.
ChatGPT and Claude are great for individual productivity. The WorkLLM AI platform adds organizational memory, AI agents, and collaboration so teams can do daily work with AI, with no technical or prompting expertise required.
No. People run purpose-built agents with simple inputs, and the prompting happens under the hood. Power users can still customize prompts when they want.
It’s a shared knowledge layer AI uses automatically. It stores company info, product details, documents, past decisions, and saved AI outputs across thread, personal, project, team, and org levels.
Yes. Your workspace is isolated, encrypted in transit and at rest, and protected with access controls. No other organization can access your data.
No. Your data never trains any model. We also enforce zero data retention with model providers, so prompts and outputs are not stored or reused.
Most teams are live in a day. Connect your apps, set up a few agents, and start using them. If you want help, the WorkLLM team will guide you through it.

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Next steps

Request a Demo

Talk to the WorkLLM team and see chat set up around your workflows.

Contact Us

Have a question or want to talk to the team? Reach out and we’ll get back to you.