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TeamAI
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TeamAI Verified Tool

Team collaboration platform.

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Starting price Free + from $25/mo

Tool Information

TeamAI is a collaborative AI platform designed for teams and businesses similar to ChatGPT. It offers a range of features to simplify team collaboration within a ChatGPT-like environment. The platform allows users to utilize models from OpenAI, Anthropic, Google, and Meta without the need for API keys.

It enables sharing prompts, collaborating in conversations, and organizing resources. Users can customize their AI assistant's chatbot experience by selecting characters for their assistant and choosing from a variety of models, including ChatGPT and GPT-4. TeamAI supports document-based conversations, allowing users to upload documents and ask their AI assistant questions about them.

The platform also offers organizational features such as folders and subfolders to keep chats organized. Users can browse over 150 built-in prompts or create their own prompt library for their team. They can also customize output settings, selecting language, tone, writing style, and format according to their preferences.

Additionally, TeamAI provides options for custom branding, allowing users to use their own name, logo, and branding elements. It supports hosting on custom domains and offers the ability to invite team members to collaborate within the workspace. The platform is available in different pricing plans, including a free plan that allows up to 100 users.

It also offers premium plans with additional features such as multi-model support, access to specific models like LLaMA and Claude, and the ability to upload and store documents.

Pros and Cons

Pros

  • TeamAI combines multiple leading language models in one collaborative workspace
  • Teams can use GPT; Claude; Llama; and other models without managing separate provider keys
  • Shared folders and subfolders organize conversations and reusable team material
  • A prompt library lets colleagues standardize and improve successful instructions
  • Conversations and prompts can be shared instead of remaining in individual accounts
  • Datastores group organizational documents into collections for grounded responses
  • Granular visibility can separate workspace-level resources from organization-wide resources
  • Custom assistants combine instructions; company data; and tools for specialized departments
  • Custom plugins can connect external APIs and fetch or update live business data
  • Reusable workflows automate recurring support; sales; marketing; and compliance tasks
  • The Professional plan supports up to 25 users without per-seat billing
  • Enterprise Solutions expands capacity to as many as 1;000 users
  • Professional includes 20;000 monthly credits and up to ten automated workflows
  • Enterprise includes SAML SSO; advanced permissions; and security controls
  • Usage-based overages allow work to continue beyond the included monthly allocation
  • The pricing page provides example credit consumption for several model classes

Cons

  • TeamAI's Professional plan starts at $149 per month; which is high for small or lightly active teams
  • The Enterprise base price of $849 per month is a substantial commitment
  • Unused included credits reset and do not roll over to the next billing period
  • Overage fees are charged when teams exceed the allocation; making monthly cost variable
  • There is no cap on extra credit purchases unless administrators configure a spend limit
  • When a spend limit is reached; AI features can be blocked until reset or the limit is raised
  • Credit use differs by model; so employees may not predict the cost of each conversation
  • Powerful models such as GPT-5 or Claude variants consume more credits than lightweight options
  • Datastore and assistant limits on Professional can constrain departments with many knowledge domains
  • Connecting custom APIs introduces credential; authorization; and data-leakage risks
  • Grounded answers can still be wrong when source documents conflict or retrieval misses relevant passages
  • Shared prompt libraries require governance to prevent outdated or unsafe instructions from spreading
  • The teamai.com homepage now emphasizes a separate managed WebFX marketing offering; which can confuse self-service buyers
  • Managed Growth Loops plans cost thousands per month and are distinct from the core TeamAI subscription
  • Annual discounts require paying a large amount upfront
  • Organizations must evaluate how each underlying model provider handles sensitive prompts and output

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