Rolling out AI across an organization today is no longer about giving everyone a single chatbot login. It’s about secure, governed access to multiple models, consistent workflows, AI agents, and a reliable way to connect internal knowledge without exposing sensitive data.
TL;DR
In a hurry? Here are the top Langdock alternatives to keep on your shortlist:
AICamp – Best for SMEs that want multi‑model AI rollout with strong governance and agents (~$20/user/month; BYOM from ~$12/user/month)
ChatGPT Team – Best for small teams that just need shared ChatGPT, not full governance (~$30/user/month)
ChatGPT Enterprise – Best for larger orgs standardizing on OpenAI with enterprise‑grade security (~$90/user/month)
LibreChat – Best for engineering‑heavy teams that want a self‑hosted, open‑source chat UI (free software, infra + API costs)
OpenWebUI – Best for R&D teams experimenting with local/open‑source LLMs (free software, infra + API costs)
Claude Team – Best for small teams prioritizing safety and long‑context document work (team pricing, mid‑range)
Claude Enterprise – Best for regulated enterprises standardizing on Claude (custom enterprise pricing)
Gemini Team (Workspace) – Best for Google Workspace organizations wanting AI directly in Docs/Sheets/Gmail (Workspace + Gemini add‑on pricing)
Microsoft Copilot – Best for Microsoft 365 organizations that want AI inside Office apps (Copilot add‑on per user)
Juma – Best for marketing teams that want AI inside campaign and project workflows (25/user/month)
Platforms like Langdock emerged to solve exactly this problem by offering enterprise‑grade AI workspaces with chat, assistants, agents, and integrations under strong data sovereignty.
But while Langdock is powerful, it can quickly become complex and expensive at scale, especially once you factor in per‑user licenses, workflow usage, and model costs. Many small and mid‑sized enterprises are now looking for alternatives that are simpler to adopt, more flexible with models and deployment, and easier to justify from a budget and UX perspective.
In this guide, you’ll find the best Langdock alternatives, the top pick for small and mid‑sized enterprises that want multi‑model access, clear governance, and fast employee enablement.
What is Langdock?
Langdock is an enterprise AI platform designed to help organizations adopt AI safely, with secure workspaces where employees can chat with models, build assistants, and run AI agents on top of company data. It targets organizations that care deeply about data residency and privacy, offering EU hosting, strict data handling, and even on‑premise or dedicated deployment options.
Its core capabilities include chat, custom assistants, agents, search over internal documents, APIs, and integrations with tools like Slack, Google Drive, Notion, or Confluence so employees can pull knowledge into their workflows. The business pricing typically sits around €20–25 per user per month for Chat/Assistants, with additional layers for advanced workflows and API usage, which can add up quickly as adoption grows.
If you like the concept of an AI adoption platform but worry about complexity, cost, or fit for your team size, it’s worth exploring what else is out there.
Why You Should Look for Alternatives to Langdock
For many teams, Langdock is a strong product but not always the perfect fit.
Complexity and cost
Langdock’s multi‑layer pricing model (per‑user plus add‑ons for workflows and usage) can make budgeting and forecasting difficult, especially for fast‑growing teams. As more people and workflows come online, total cost of ownership can become a concern.- Fit and focus
The platform is built with larger, complex enterprises in mind, with a strong focus on sophisticated workflows and deep integrations, which can feel like overkill if you “just” want governed AI access for a few hundred employees - Model and deployment flexibility
While Langdock supports multiple models and strong EU/on‑prem options, some organizations prefer more straightforward bring‑your‑own‑model (BYOM) options, or want even more flexibility to plug in open‑source and custom LLMs. - UX and adoption
A rich feature set is valuable, but it also introduces a learning curve for non‑technical users and admins compared with lighter platforms designed for fast rollout and simple day‑to‑day usage.
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| Alternative | Best for | Key strength | Multi‑model support | Pricing (high level) |
|---|---|---|---|---|
| AICamp | SMEs rolling out AI across teams with governance needs | Multi‑model workspace with strong RBAC, agents, and guardrails | Yes – OpenAI, Claude, Gemini + BYO APIs | ~$20/user/month (BYOM from ~$12/user/month) |
| ChatGPT Team | Small teams that just need shared ChatGPT | Simple, familiar team workspace around GPT models | No – OpenAI models only | ~$30/user/month (annual) |
| ChatGPT Enterprise | Larger orgs standardizing on OpenAI | Enterprise‑grade ChatGPT with privacy and admin features | No – OpenAI models only | ~$90/user/month (typical enterprise quote) |
| LibreChat | Engineering‑heavy, open‑source‑first organizations | Self‑hosted, highly flexible open‑source chat UI | Yes – via connected APIs/custom backends | Free software; infra + model/API costs |
| OpenWebUI | R&D teams and devs testing local/open‑source LLMs | Great front‑end for local and experimental models | Yes – local and remote models via config | Free software; infra + model/API costs |
| Claude Team | Small teams prioritizing safety and long‑context documents | Access to Claude with strong safety and long‑context | No – Anthropic models only | Team‑tier pricing (mid‑range) |
| Claude Enterprise | Regulated enterprises standardizing on Claude | Safety‑first enterprise deployment of Claude | No – Anthropic models only | Custom enterprise pricing |
| Gemini Team | Google Workspace organizations | Deep integration into Docs, Sheets, Gmail | No – Google Gemini only | Workspace plan + Gemini add‑on per user |
| Microsoft Copilot | Microsoft 365 organizations | Embedded in Word, Excel, Outlook, Teams | Primarily Microsoft‑hosted models | Copilot add‑on per M365 user |
| Juma | Marketing teams | AI‑driven marketing project and campaign management | Yes | 25/user/month |
Top Alternatives to Langdock:
Here are the top platforms to consider, in the order we recommend evaluating them:
- AICamp
- ChatGPT Team
- ChatGPT Enterprise
- LibreChat
- OpenWebUI
- Claude Team
- Claude Enterprise
- Gemini Team
- Microsoft Copilot
- Juma
Below, we’ll go platform by platform, following the same structure: what it is, why to choose it over Langdock, how it works, when it makes sense, whom it’s best for, and why you might still look at alternatives.
1. AICamp: The Best Langdock Alternative
What is AICamp?
AICamp is an AI rollout platform built for small and mid‑sized enterprises that want to provide employees with secure access to multiple AI models under clear governance. It brings together AI chat, Projects, AI agents, knowledgebases, and prompt libraries in a single workspace so companies can move from isolated experiments to standardized, organization‑wide AI workflows.
Unlike point solutions or single‑model offerings, AICamp is designed as an adoption layer on top of the best models in the market, with enterprise‑grade controls baked in from day one.
AICamp Features
- Multi-model access: OpenAI, Claude, Gemini, and more
- BYO API/LLM: OpenAI, Anthropic, Google, Azure, AWS, GCP, open-source
- Chat with memory, model selection, file upload, OCR, data analysis, web search
- Projects, AI agents, prompt library, internal knowledge base
- Enterprise controls: RBAC, SAML SSO, guardrails, audit logs
- Deployment options: dedicated cloud or on-prem
Advantages
- Strong balance of features, governance, and cost, with a smoother adoption curve than heavy enterprise platforms.
- Future‑proof multi‑model and BYOM strategy that keeps you flexible as the AI landscape evolves.
- Adoption‑focused features projects, agents, libraries that turn experiments into repeatable workflows.
Disadvantages
- More platform than you need if you only want a very basic shared AI chat.
- Extremely large enterprises with highly specialized needs may still prefer custom, in‑house stacks.
Pricing
- Standard seat: around $20 per user per month with models included
- BYOM (bring‑your‑own‑model) option: around $12 per user per month for Langdock‑style scenarios where you pay model providers separately.
- Monthly and yearly billing options.
2. ChatGPT Team
What is ChatGPT Team?
ChatGPT Team is OpenAI’s team‑oriented plan for small groups that want shared access to ChatGPT with basic collaboration features. It offers a shared workspace, higher usage limits than the individual plan, and access to advanced models, but it doesn’t provide the deep governance or multi‑model routing that dedicated AI rollout platforms do.
ChatGPT Team Features
- Messages and interactions with advanced OpenAI models.
- Chat history and shared workspace.
- File upload and web‑search‑style capabilities.
- Some project‑style organization, but limited role‑based sharing.
Advantage
Easy to start, familiar UX, backed by strong base models from OpenAI.
Disadvantage
Not built as a full AI rollout platform; lacks deep governance, multi‑model, and agent/knowledgebase features.
Pricing
Around $30 per user per month on yearly plans (exact pricing may vary by region and time).
3. ChatGPT Enterprise
What is ChatGPT Enterprise?
ChatGPT Enterprise is OpenAI’s higher‑end offering for organizations that want ChatGPT with stronger security, privacy, and administrative controls. It adds enterprise‑grade features such as SSO, advanced data privacy options, extended context windows, and better analytics, making it more suitable for larger deployments than Team.
ChatGPT Enterprise Features
- Chat with advanced OpenAI models and extended context windows.
- Admin console, SSO, security and compliance features.
- Higher limits, improved performance SLA compared with lower tiers.
Advantage
Direct access to OpenAI’s best models with strong enterprise assurances and reliability.
Disadvantage
More expensive than many alternatives, single‑vendor lock‑in, and fewer built‑in workflow/agent features compared to dedicated AI rollout platforms.
Pricing
Often quoted around ~$90 per user per month with models included, typically via yearly contracts and custom quotes.
4. LibreChat
What is LibreChat?
LibreChat is an open‑source, self‑hosted chat interface designed to work with multiple LLMs via APIs, often used by technically inclined teams who want full control over their AI stack. It acts as a unified front‑end for different models, giving developers and power users a flexible playground for experimenting and building their own workflows.
LibreChat Features:
- Multi‑model chat interface.
- Chat history and file upload (depending on configuration).
- Highly configurable and extensible via code.
Advantage
Very flexible and cost‑effective for technical teams; no vendor lock‑in.
Disadvantage
No native enterprise governance, guardrails, or adoption tooling; requires strong engineering capacity.
Pricing
Free to use as software; you pay for infrastructure and model/API usage.
5. OpenWebUI
What is OpenWebUI?
OpenWebUI is an open‑source interface for interacting with local and remote AI models, often used with self‑hosted or open‑source LLMs. It focuses on providing a smooth web experience on top of models you run yourself or via APIs.
OpenWeb UI Features:
- Multi‑model chat, often optimized for local models.
- Chat history, file handling, and customization via configuration.
Advantage
Great for experimentation and local setups, with strong flexibility for technical users.
Disadvantage
Not designed as a governed, organization‑wide rollout platform; lacks built‑in enterprise controls.
Pricing
Free to use as software; infra and model costs apply.
6. Claude Team
What is Claude Team?
Claude Team is Anthropic’s team‑focused offering that gives small groups shared access to Claude models in a collaborative workspace. Claude is known for its safety‑first design and long‑context capabilities, which make it particularly strong for large‑document work and complex reasoning tasks.
Claude Team Features:
- Chat with Claude models.
- File upload and long‑context handling.
- Basic workspace collaboration.
Advantage
Excellent for long documents and safety‑critical use cases.
Disadvantage
Single‑vendor, limited workflow and governance features versus rollout platforms.
Pricing
Team‑level pricing start from $25/user/month; typically more affordable than full enterprise plans, but subject to change.
7. Claude Enterprise
What is Claude Enterprise?
Claude Enterprise is Anthropic’s offering for larger organizations that want to deploy Claude at scale with enterprise‑grade security and compliance. It builds on Claude’s core strengths and adds administrative, security, and integration features for corporate environments.
Claude Enterprise Features
- Enterprise security and compliance.
- SSO, admin tools, and integration pathways.
Advantage
Best‑in‑class safety posture combined with enterprise assurances.
Disadvantage
Single‑vendor, limited multi‑model and agent/platform features out of the box.
Pricing
Enterprise‑level, via custom quotes.
8. Google Gemini Team
What is Gemini Team?
Gemini Team (or equivalent Gemini for Workspace offerings) gives organizations Google’s Gemini models within a team or workspace context, often integrated tightly with Google Workspace apps. It’s Google’s answer to bringing generative AI into day‑to‑day productivity tools like Docs, Sheets, Slides, and Gmail.
Google Gemini Features
- Gemini integrated into Docs, Sheets, Slides, and Gmail.
- Chat‑style interactions with Gemini.
- Some admin controls via Workspace.
Advantage
Seamless integration into familiar tools, easy to adopt for existing Google users.
Disadvantage
Limited governance and dedicated rollout features; not multi‑model; less suited for centralized AI adoption strategies.
Pricing
Typically packaged as Gemini add‑ons to Workspace tiers; pricing varies by plan.
9. Microsoft Copilot
What is Microsoft Copilot?
Microsoft Copilot is an AI companion integrated into Microsoft 365 apps like Word, Excel, PowerPoint, Outlook, and Teams, as well as across Windows and other Microsoft products. It’s designed to augment everyday productivity tasks for users already in the Microsoft ecosystem.
Microsoft Copilot Features
- AI features inside Word, Excel, PowerPoint, Outlook, Teams, and more.
- Meeting summaries, content drafting, and spreadsheet assistance.
- Some centralized admin controls via Microsoft 365 admin center.
Advantage
Familiar environment and strong integration into existing tools; great for incremental AI adoption.
Disadvantage
Not an AI‑native rollout platform, high learning curve, and not the best choice for heavy PDFs, images, or data workflows.
Pricing
Licensed as Copilot add‑ons per user and $30/user/month; exact pricing depends on Microsoft 365 plan and region.
10. Juma
What is Juma?
Juma is an AI‑enabled platform built specifically for marketing teams, functioning more like a marketing project management and campaign planning tool than a company‑wide AI rollout platform. It uses AI to help marketing teams plan, execute, and track campaigns, rather than to serve as a general‑purpose AI workspace for all departments.
Juma Features
- Marketing‑focused project and campaign management.
- AI assistance for content and planning.
Advantage
Strong alignment with marketing workflows; easy for marketers to adopt.
Disadvantage
Not suitable as a full, organization‑wide AI rollout platform; limited scope beyond marketing.
Pricing
Pricing starts from $25/user/month with basic plan and go high for enteprise plan.
Conclusion: How to Choose the Right Langdock Alternative
Choosing the right Langdock alternative today is depends on three main factors: the size of your organization, your regulatory and security requirements, and your internal technical maturity. Larger enterprises in regulated industries may lean toward single‑vendor enterprise offerings, while smaller or mid‑sized companies often need something that balances governance with ease of use.
For most small and mid‑sized enterprises, AICamp offers the best overall balance. You get multi‑model access, strong governance features, clear pricing, and an adoption‑first design that helps you move from pilots to production quickly. Unlike single‑vendor tools, it keeps you flexible as the AI landscape changes, and unlike open‑source interfaces, it doesn’t require heavy engineering just to get started.
That doesn’t mean the other tools have no place: Copilot and Gemini Team are excellent if you’re deeply tied to Microsoft or Google; Claude‑based plans make sense if you prioritize safety and long context; and open‑source tools like LibreChat or OpenWebUI are great for technical experimentation. Juma can be a strong specialist tool for marketing teams.
A practical approach is to shortlist two or three options, run a 30–60‑day pilot with real use cases, and evaluate adoption, governance, and ROI side by side.
FAQ
1. What is the best alternative to Langdock for SMEs in 2026?
For most small and mid-sized businesses, AICamp is a strong alternative. It offers multi-model access, team collaboration, and built-in controls without being overly complex.
2. How does AICamp compare to Langdock on pricing and features?
AICamp usually has simpler per-user pricing and supports multiple AI models, BYO APIs, RBAC, and guardrails. It gives enterprise features but is easier for SMEs to adopt.
3. Is Langdock overkill for small teams?
For small teams that only need shared AI chat, Langdock may feel too complex. Lighter platforms like AICamp or ChatGPT Team are often easier to start with.
4. Which alternative is best for companies using Microsoft 365?
If you rely heavily on Microsoft 365, Microsoft Copilot fits naturally. But if you need multiple AI models and stronger governance, a platform like AICamp may be better.
5. Which platform is best if I need OpenAI, Claude, and Gemini together?
AICamp supports multiple models in one place. Single-vendor tools usually limit you to one provider.
6. Are open-source tools like LibreChat enough for enterprise use?
They can work for technical teams, but they require setup and maintenance. Most companies prefer commercial platforms for easier rollout and governance.
7. How important are AI guardrails and audit logs?
Very important. They help control how AI is used, reduce risk, and give leadership visibility.
8. Can I bring my own LLM or API?
Yes. Platforms like AICamp support BYO APIs and custom models, so you’re not locked into one provider.
