b stack radar

Hebbia vs Langdock: Complete Comparison (2026)

An in-depth comparison of Hebbia and Langdock to help you choose the right tool for your business.

Last updated: November 2026

Hebbia logo

Hebbia

6.6/10

Enterprise AI platform that analyzes large sets of financial and legal documents in a spreadsheet-style Matrix workspace, built for investors, bankers, lawyers, and consultants.

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
Hebbia logo
Hebbia
Langdock logo
Langdock
Scores
Overall Rating6.6/107.1/10
Integration8/107/10
Analytics7/106/10
Customization7/108/10
Ease of Use6/107/10
Support7/107/10
Cost2/105/10
Scalability8/108/10
Security9/109/10
Output Quality8/108/10
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
Enterprise Controls
Knowledge Base Search
Private Deployment
Text Generation
API AccessNot listed
ChatbotsNot listed
Data AnalysisNot listed
TranscriptionNot listed
Workflow AutomationNot listed

Hebbia 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?

Hebbia logo
Why choose Hebbia

  • Higher Integration score (8/10 vs 7/10)
  • Higher Analytics score (7/10 vs 6/10)
  • Better fit for financial services (10/10 vs 6/10)

Langdock logo
Why choose Langdock

  • Higher Cost score (5/10 vs 2/10)
  • Higher Customization score (8/10 vs 7/10)
  • Better fit for mid-market (8/10 vs 3/10)
  • Better fit for small business (5/10 vs 2/10)

Pros & Cons

Hebbia logo
Hebbia

Pros

  • The Matrix grid applies the same questions across thousands of documents and links every answer to its source, which suits diligence work.
  • It has deep finance data integrations, including FactSet, Capital IQ, PitchBook, Preqin, and SEC and international filings.
  • Its security record is strong, with SOC 2 Type 2, ISO 27001, and ISO 42001, plus US and EU regional processing and dedicated tenants.
  • It is proven at large firms such as Morgan Stanley, MetLife, and Latham & Watkins.

Cons

  • There is no public pricing, and users describe it as very expensive; seats are estimated at about 10,000 USD per year.
  • There is no free trial or self-serve option, so you must book a demo to evaluate it.
  • Users report accuracy gaps that still require checking answers against the source files.
  • Some users found the drive and Excel integrations immature.

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 6.6/10 for Hebbia. The largest gap is in Cost: 2/10 for Hebbia and 5/10 for Langdock.

No, neither Hebbia nor Langdock lists a free plan.

Langdock is the better fit for mid-market: we rate it 8/10 for them, against 3/10 for Hebbia.

Related Comparisons