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Credal vs Langdock Comparison

Compare Credal vs Langdock features, pricing, and more.

Last updated: November 2026

Credal logo

Credal

6.9/10

Credal is an enterprise platform for building, governing, and auditing AI agents and MCP servers connected to company data with inherited permissions.

Langdock logo

Langdock

7.1/10

Winner

Langdock is a Berlin-based, EU-hosted AI workspace where company teams chat with many AI models, build custom agents, and automate workflows under central governance.

Feature-by-Feature Comparison

Feature
Credal logo
Credal
Langdock logo
Langdock
Scores
Overall Rating6.9/107.1/10
Integration9/107/10
Analytics7/106/10
Customization8/108/10
Ease of Use6/107/10
Support7/107/10
Cost3/105/10
Scalability8/108/10
Security9/109/10
Output Quality7/108/10
Pricing
Free planNoNo
Cheapest paid planContact for pricing€23/user/mo
Core
Estimated cost for 10 usersContact for pricing€232/mo
Core
Features
AI Agents
API Access
Chatbots
Enterprise Controls
Knowledge Base Search
Private Deployment
Workflow Automation
Text GenerationNot listed
TranscriptionNot listed

Credal vs Langdock cost by team size

The plan that fits each team size, billed monthly, before add-ons and usage charges. Each cost opens that tool's pricing calculator for the team size.

Which One Should You Choose?

Credal logo
Why choose Credal

  • Higher Integration score (9/10 vs 7/10)
  • Higher Analytics score (7/10 vs 6/10)

Langdock logo
Why choose Langdock

  • Higher Cost score (5/10 vs 3/10)
  • Higher Ease of Use score (7/10 vs 6/10)
  • Better fit for small business (5/10 vs 2/10)
  • Better fit for freelancers (3/10 vs 1/10)

Pros & Cons

Credal logo
Credal

Pros

  • Permissions are inherited from source systems and enforced at query time, which lowers the risk of AI agents leaking data across teams.
  • Deployment can be multi-tenant cloud, single-tenant cloud, or fully on-premises, which suits regulated industries.
  • Model-agnostic design lets customers bring Azure OpenAI or self-hosted models and avoid lock-in.
  • Audit logs attribute AI spend by team, workflow, and model, and can export to a SIEM.
  • Over 1,000 connectors, including Salesforce, Snowflake, Jira, and SharePoint, with outputs usable from Claude, ChatGPT, Cursor, and Slack.

Cons

  • No public pricing and no self-serve plan, so every purchase goes through sales.
  • Very few public reviews: 2 on G2 and 13 on Gartner Peer Insights.
  • Small company of roughly 14 to 18 employees, which can be a vendor-risk concern for large buyers.
  • The focus on governance and MCP infrastructure makes it less suited to quick, standalone content generation.

Langdock logo
Langdock

Pros

  • Access to 40+ models from several providers in one interface, so teams can switch models without buying separate ChatGPT and Claude licences.
  • Strong EU compliance posture: ISO 27001 certification, a SOC 2 Type II audit, GDPR compliance and EU hosting on Azure.
  • SSO, SCIM and SAML are included even on the entry Core plan.
  • Non-technical staff can build no-code agents with their own knowledge bases and permissions.
  • Deployment options range from multi-tenant SaaS to single-tenant, bring-your-own-cloud and on-premise Kubernetes.

Cons

  • There is no permanent free tier, only a 7-day trial.
  • Dedicated and on-premise deployments require 2,000 to 5,000+ seats.
  • Reviewers say its workflows still leave many actions to humans, so automation of operational tasks is limited.
  • Building advanced agents has a learning curve.
  • Per-seat pricing with Max seat upgrades and workflow add-ons can get expensive for small teams.

Not sold on either?

Frequently Asked Questions

Langdock scores higher on our AI Software criteria: 7.1/10 against 6.9/10 for Credal. The largest gap is in Cost: 3/10 for Credal and 5/10 for Langdock.

No, neither Credal nor Langdock lists a free plan.

Langdock is the better fit for small business: we rate it 5/10 for them, against 2/10 for Credal.

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