Albus

Albus, an initiative by Springworks, emerges as a state-of-the-art AI assistant for Slack, propelling teams toward heightened efficiency and productivity. 

This Slack app, enriched by the advanced capabilities of GPT-4 and Cohere, promises unparalleled accuracy and speed, allowing users to pose questions naturally and receive AI-generated, conversation-like responses. 

While Albus has deeply rooted itself in the AI valley with its technology, it isn’t confined to just Slack. Anticipate a Chrome-based version of the Albus app, poised to be a standalone learning tool that taps into diverse platforms like Google Drive and Notion.

With Albus GPT at its core, and its future branching out as a chatbot in platforms beyond Slack, the AI realm can look forward to some transformative changes.

Albus Features

Albus is a natural language processing (NLP) tool that seamlessly integrates with platforms like Slack and MS Teams, offering a plethora of features to professionals across various domains:

  • Quick Answers: Directly find answers to queries without leaving Slack or MS Teams.
  • Document Training: Train Albus using your company’s documents for personalized responses.
  • Continuous Learning: As more users interact with Albus, it refines its responses over time.
  • Real-time Responses: Eliminate the need to sift through internal documents or wait for email replies.
  • Streamlined Communication: Albus can handle routine questions, ensuring everyone is aligned.
  • Insightful Analytics: Track frequently asked questions and access documents for improved communication strategies.
  • Security: Compliant with ISO 27001, ISO 27701, CCPA, and GDPR, and employs state-of-the-art encryption.
  • Integration with Multiple Platforms: Access content from Google Drive, Notion, and over 100 other platforms.

Albus Use Case – Real-World Applications

Albus is the perfect tool for professionals seeking quick, accurate, and AI-powered responses:

  • Marketers and Designers: Generate engaging content ideas and conduct market analysis.
  • Executives and Salespeople: Get instant answers to product or service-related questions.
  • Team Collaboration: Enhance team efficiency with an AI assistant for quick information retrieval.
  • HR Professionals: Streamline HR operations and answer employee queries in real time.
  • Content Creators: Generate and refine content ideas.
  • Data Analysts: Quickly access and analyze data trends.
  • Customer Support: Provide instant answers to customer queries using company documentation.

Albus Pricing

Albus offers a transparent pricing model to cater to the diverse needs of organizations. The pricing is as follows:

  • Regular Pricing: Each license is priced at $9.99 monthly and includes an allowance of 100 questions. Should you exceed this quota, there’s an additional fee of $4.99 for every additional set of 100 questions.
  • Annual Subscription: Opt for an annual plan and avail a 20% discount.

FAQs

What is the trial offer for Albus?

During the free trial, all employees in your Slack workspace can ask up to 50 questions over 14 days.

How does the license-based subscription work for Albus?

Each license, priced at $9.99 monthly, is linked to an individual user. This subscription allows up to 100 questions per license.

Is there a question limit for Albus?

During the free trial, users can ask up to 50 questions. Post subscription, there’s a limit of 100 questions per license.

Does Albus offer discounts for non-profits?

Yes, Albus recognizes the valuable contributions of non-profit organizations and, in support, offers them tailored discounts.

What support does Albus offer?

Albus has a dedicated customer support team and provides an account manager post subscription.

About GilPress

I'm Managing Partner at gPress, a marketing, publishing, research and education consultancy. Also a Senior Contributor forbes.com/sites/gilpress/. Previously, I held senior marketing and research management positions at NORC, DEC and EMC. Most recently, I was Senior Director, Thought Leadership Marketing at EMC, where I launched the Big Data conversation with the “How Much Information?” study (2000 with UC Berkeley) and the Digital Universe study (2007 with IDC). Twitter: @GilPress
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