The 5 Best ChatGPT Enterprise Alternatives in 2025

Introduction

When ChatGPT launched in 2022, it marked the dawn of what Sam Altman calls ‘the intelligence age’. Since then, we’ve seen a Cambrian explosion of players attempting to redefine enterprise workflows. While ChatGPT Enterprise is the current market leader, this landscape is nuanced and evolving. Today, we want to cover ChatGPT Enterprises’s competitors, understanding the technical and business use case of each.

But to begin, let’s first understand ChatGPT Enterprise’s positioning as a product.

What is ChatGPT Enterprise?

ChatGPT Enterprise is OpenAI’s flagship enterprise product. It is a chat-based application capable of advanced reasoning, code generation, and document analysis.

ChatGPT Enterprise, as the name implies, was designed to be the enterprise version of ChatGPT’s suite. Accordingly, it checks off a lot of the enterprise boxes. It has administrative controls and user management. Data privacy commitments and compliance badges (SOC 2, GDPR etc). And, amongst ChatGPT plans, has the highest usage limits and priority access. However, these are just tablestakes features—they don’t underpin why IT teams decide to purchase ChatGPT Enterprise. Rather, a ChatGPT Enterprise subscription is usually the consequence of a top-down prerogative or bottoms-up motion.

Why do companies choose ChatGPT Enterprise?

The Top Down Story

Some organizations choose ChatGPT Enterprise because it is a general-purpose AI applications. Anybody could use it for something—engineers could use it to generate code scripts, sales managers could use it to draft cold outreach, marketers could use it for generating creatives, operations could use it to analyze product data etc. Accordingly, ChatGPT Enterprise is an excellent choice for organizations that are looking to implement AI in their day-to-day processes due to a pursuit of upper-level corporate. In this sense, ChatGPT Enterprise is a safe pick, as it provides a powerful AI chatbot that’s akin to a generalist employee.

The Bottom Up Story

Alternatively, some organizations purchase ChatGPT Enterprise due to a phenomena known as IT creep. ChatGPT is undoubtedly one of the most popular programs today, with usage both in and outside of work. As a result, many professionals will pay for it using a personal credit card seeking reimbursements or expense it to a budgeted corporate card.

Over time, this becomes pervasive, where the average employee is paying for ChatGPT Pro or ChatGPT Business to improve their job roles, but the instances are disconnected and separate. Eventually, the IT department buys an enterprise subscription so everything is under their oversight and interconnected.

What are the limitations of ChatGPT Enterprise?

ChatGPT Enterprise is a chat application. While an exceptional chat application, that also limits what it can do. It cannot seamlessly string together two systems outside the context of chat. It also cannot autonomously pull information from integrations without being directly invoked by the user. In short, ChatGPT Enterprise makes chat more extensible to an enterprises’s ecosystem, but remains constrained to a chat application.

That means there are two types of alternatives to ChatGPT Enterprise. There are (i) other chat applications that have different focuses and features and (ii) other generalist products that can solve open-ended AI problems without being constrained to chat. In this article, we’ll visit both of these.

Alternative #1: Credal, Multi-Agent Intelligence

Credal is an AI orchestration platform that can be used to create multi-agent workflows to tackle complex tasks. For instance, with Credal, a recruiter agent, email agent, and Google Drive focused agent could be orchestrated to work together to carry-out the initial screening round of job applicants.

As an orchestration platform, Credal handles a lot of critical challenges that prevent enterprises from launching commercial AI. These include integrations with popular data sources (Google Drive, Salesforce, etc), permissions mirroring with those data sources to meet compliance obligations, and making memory portable so that context could be shared between agents.

Credal is a comprehensive AI workspace as opposed to a siloed, single assistant model. It’s specifically built for large organizations that have complex needs and complicated constraints like compliance rules on data custody, custom data sources, and difficult internal policies that need to be followed.

Multi-agent orchestration

One of Credal’s paramount features is the ability to coordinate multiple agents, something that’s not available in other platforms. Having multiple agents is a preferred strategy since it allows each agent to have context focused on a specific task, improving accuracy. For instance, with Credal, you. might have one agent that’s tasked with sending emails that’s a master at the company’s voice, email policies, and contacts.

This involves agents discovering each other autonomously and collaborating to solve any arbitrary task.

Deep Enterprise Integrations

Credal ships with native connectors to other enterprise systems like Salesforce, SAP, Google Drive, Dropbox etc. These connectors include pre-built tools that simplify doing common actions with those integrations—for instance, creating a new Salesforce record. This makes it significantly easier for AI to interface with these data sources with a bi-directional dat flow.

Governance

Credal has some advanced security and governance features. The first is permissions mirroring that ensures that data pulled from integrations respects the same access controls that the original user possesses. Additionally, agents could have human-in-the-loop configurations where humans have to manually approve steps to avoid destructive actions. Lastly, Credal has configurable data residency and audit trails to provide the oversight needed by even the most strict IT departments.

Model Support & Capabilities

• Multi-modal support: Text, image, document processing
• LLM options: GPT-4, Claude, Gemini, Llama, custom models
• Specialized models: Industry-specific fine-tuned options
• Processing capabilities: Real-time and batch processing

Alternative #2: Microsoft Copilot for M365

Microsoft Copilot for M365 is an AI assistant deeply embedded within the Microsoft ecosystem, designed to transform how organizations interact with their Microsoft applications. Rather than being a standalone chat application, Copilot integrates directly into familiar tools like Word, Excel, PowerPoint, Teams, and Outlook.

As an integrated assistant, Copilot addresses many pain points that prevent seamless AI adoption in enterprises. These include native access to organizational data stored in Microsoft platforms, security and compliance controls that inherit Microsoft's robust governance framework, and contextual awareness of an organization's existing workflows and documentation.

Copilot is particularly well-suited for organizations heavily invested in the Microsoft stack that want to enhance productivity without disrupting established workflows or requiring users to learn entirely new interfaces.

Deep Microsoft Integration

Copilot's standout feature is its native integration with Microsoft applications. Unlike external AI tools that require context switching, Copilot exists within the applications employees already use daily. For instance, in Word, Copilot can draft documents based on company templates and style guides, while in Excel it can analyze data, create formulas, and generate visualizations directly in spreadsheets.

This integration extends to Microsoft's knowledge graph, allowing Copilot to understand relationships between people, documents, and projects across an organization's Microsoft environment.

Business Process Enhancement

Copilot transforms standard Microsoft applications into AI-enhanced workflow tools. In Outlook, it can summarize email threads, draft responses in the appropriate tone, and extract action items. In Teams, it can generate meeting notes, highlight key decisions, and create follow-up task lists automatically.

For project management, Copilot can assist with scheduling in Outlook Calendar, document management in SharePoint, and task tracking in Microsoft Planner—creating a cohesive AI layer across business processes.

Governance and Security

Microsoft has designed Copilot with enterprise security requirements in mind. It inherits existing Microsoft 365 security controls, including tenant isolation, data residency options, and compliance with major frameworks like GDPR, HIPAA, and SOC 2.

Importantly, Copilot respects existing permission structures—users can only access and modify content they already have permissions for. Additionally, administrators have granular control over which Copilot features are enabled across the organization, allowing for tailored deployment that aligns with corporate policies.

Model Support & Capabilities

• Foundation model: Based on GPT-4 with Microsoft-specific optimizations
• Multi-modal support: Text, image, and document processing capabilities
• Contextual understanding: Access to organizational context through Microsoft Graph
• Domain adaptation: Customization based on organizational data and patterns
• Processing scope: Real-time assistance within Microsoft applications

Alternative #3: Glean

Glean is an AI-powered enterprise search and knowledge management platform designed to transform how organizations discover, access, and utilize their internal information. Unlike traditional search tools, Glean provides a comprehensive solution that connects across an organization's entire tech stack, unifying fragmented knowledge repositories.

Glean is an integration-first platform, with 100+ enterprise application connectors. This makes it ideal for personalized search experiences based on each user's role, permissions, and work patterns.

Universal Enterprise Search

Glean's standout feature is its ability to connect to virtually every information source in an organization. It indexes content from cloud applications, document management systems, wikis, tickets, code repositories, and more. What sets Glean apart is not just its comprehensive connectivity, but its semantic understanding—Glean comprehends the meaning behind content, enabling it to surface relevant information even when exact keywords aren't used.

AI-Powered Knowledge Discovery

Glean transforms search from a simple query-response mechanism to an intelligent knowledge assistant. Its AI capabilities include automatic summarization of long documents, extraction of key points from meetings or conversations, and intelligent recommendations of related content users might need.

Governance and Security

For compliance needs, Glean provides audit logging, data residency options, and supports key frameworks including SOC 2, GDPR, and HIPAA. Administrators have granular control over which sources are indexed and how information is shared, allowing for tailored deployments that align with corporate security policies.

Model Support & Capabilities

• Search models: Custom-trained enterprise search models optimized for organizational content
• Multi-modal support: Text, document, image, and video content indexing and search
• Contextual understanding: Awareness of organizational structure, relationships, and relevance
• Processing capabilities: Real-time indexing and near-instant search across enterprise content
• Language support: Multi-language indexing and search capabilities

Alternative #4: Perplexity for Enterprise

Perplexity is an AI-powered research assistant platform that combines real-time web search capabilities with advanced information synthesis. It’s more similar to ChatGPT Enterprise in that it’s an application to invoke. But unlike traditional search engines or chatbots, Perplexity focuses on delivering comprehensive answers with clear source attribution, making it particularly valuable for knowledge workers who need reliable, up-to-date information.

Real-Time Information Synthesis

Perplexity's standout feature is its ability to search the live web, synthesize information from multiple sources, and present comprehensive answers with proper attribution. Unlike tools that rely solely on pre-trained knowledge, Perplexity maintains current awareness by actively searching for the most recent information available. This is particularly valuable for industries where timely information provides competitive advantage, such as market research, competitive intelligence, and investment analysis.

Enterprise Knowledge Integration

For enterprise customers, Perplexity can connect to both public information and proprietary data sources. This creates a unified research experience where employees can ask questions that draw from both internal knowledge bases and external resources. The platform respects access controls, ensuring that sensitive information remains protected while still being available to authorized users when needed.

Governance and Compliance

Perplexity's enterprise offering includes comprehensive administrative controls, usage analytics, and content filtering options. Administrators can set appropriate usage policies, monitor query patterns, and implement governance frameworks that align with organizational requirements.

Model Support & Capabilities

• Research models: Specialized models optimized for information retrieval and synthesis
• Multi-modal support: Ability to process text queries and analyze web content including images
• Source evaluation: Algorithms that assess source credibility and relevance
• Processing capabilities: Real-time web search integration with AI-powered analysis
• Integration options: API access for embedding research capabilities into workflows

Alternative #5: Anthropic's Claude for Enterprise

Anthropic's Claude for Enterprise is an AI assistant built on Constitutional AI principles that prioritizes safety, reliability, and ethical behavior. Unlike traditional AI models that focus primarily on capability, Claude was designed with an emphasis on reducing harmful outputs, minimizing hallucinations, and maintaining consistent behavior—making it particularly valuable for enterprises operating in regulated industries or handling sensitive information (it’s one of the many reason for why support Claude at Credal).

Claude is especially well-positioned for organizations requiring sophisticated reasoning capabilities coupled with enterprise-grade safety, such as financial services, legal, healthcare, and other regulated industries.

Constitutional AI Framework

Claude's standout feature is its Constitutional AI design that fundamentally shapes how it responds to queries. This approach embeds ethical guidelines directly into the model's training process, resulting in an assistant that can decline harmful requests without compromising on helpfulness for legitimate business use cases. This constitutional framework makes Claude particularly adept at handling sensitive topics with nuance and appropriate caution.

Superior Analytical Capabilities

Claude excels at tasks requiring deep analytical thinking and complex reasoning. It demonstrates exceptional document comprehension capabilities, able to analyze lengthy legal contracts, financial reports, or technical documentation with remarkable accuracy. This makes it particularly valuable for knowledge workers who need to extract insights from voluminous text-based information.

For technical teams, Claude has established itself as a gold standard coding assistant, capable of understanding complex codebases, generating high-quality code snippets, and providing detailed explanations of programming concepts. Its ability to reason through complex logic problems makes it valuable for software development, data analysis, and system architecture design.

Governance and Risk Management

Anthropic has designed Claude with enterprise risk management in mind. The platform offers comprehensive administrative controls, usage monitoring, and content filtering options. Enterprise customers have access to detailed logging and reporting tools that provide visibility into how Claude is being used across the organization.

Model Support & Capabilities

• Foundation models: Suite of Claude models optimized for different use cases and performance needs
• Multi-modal support: Text processing with image understanding capabilities
• Context window: Industry-leading context window for processing lengthy documents
• Processing capabilities: Real-time conversation with sophisticated reasoning
• Specialized strengths: Document analysis, coding, ethical reasoning, and nuanced explanations

Choosing the Right Alternative

In a sentence, these are the best alternatives for each company:

• Complex workflows that require intelligence: Credal's multi-agent approach
• Microsoft ecosystem: Copilot for Microsoft 365
• Knowledge discovery: Glean's search and synthesis
• Research and analysis: Perplexity's real-time capabilities
• High-stakes reasoning: Anthropic's safety-focused approach

Why you should consider Credal

Credal stands out in the AI orchestration landscape by enabling true multi-agent intelligence for enterprise workflows. Unlike single-assistant models like ChatGPT Enterprise, Credal allows organizations to create specialized agents that collaborate autonomously to solve complex business challenges. This orchestration approach delivers superior results as each agent maintains focused context for its specific task domain.

With deep enterprise integrations to systems like Salesforce and Google Drive, robust governance features including permissions mirroring and human-in-the-loop approvals, and support for multiple leading AI models (GPT-4, Claude, Gemini), Credal provides the comprehensive AI workspace that large organizations need.