Langdock vs PolyAI Comparison
Compare Langdock vs PolyAI features, pricing, and more.
Last updated: November 2026
Langdock
7.1/10
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.
PolyAI
7.1/10
PolyAI builds enterprise voice AI agents that answer and resolve customer service calls, with chat and messaging channels, for large contact centers.
Feature-by-Feature Comparison
| Feature | | |
|---|---|---|
| Scores | ||
| Overall Rating | 7.1/10 | 7.1/10 |
| Integration | 7/10 | 8/10 |
| Analytics | 6/10 | 6/10 |
| Customization | 8/10 | 8/10 |
| Ease of Use | 7/10 | 6/10 |
| Support | 7/10 | 8/10 |
| Cost | 5/10 | 3/10 |
| Scalability | 8/10 | 9/10 |
| Security | 9/10 | 9/10 |
| Output Quality | 8/10 | 9/10 |
| Pricing | ||
| Free plan | No | No |
| Cheapest paid plan | €23/user/mo Core | Contact for pricing |
| Estimated cost for 10 users | €232/mo Core | Contact for pricing |
| Features | ||
| AI Agents | ||
| Chatbots | ||
| API Access | ||
| Enterprise Controls | ||
| Knowledge Base Search | ||
| Private Deployment | Not listed | |
| Text Generation | Not listed | |
| Transcription | ||
| Workflow Automation | ||
| Voice and Audio | Not listed | |
Which One Should You Choose?
Why choose Langdock
- Higher Cost score (5/10 vs 3/10)
- Higher Ease of Use score (7/10 vs 6/10)
- Better fit for mid-market (8/10 vs 5/10)
- Better fit for small business (5/10 vs 2/10)
Why choose PolyAI
- Higher Integration score (8/10 vs 7/10)
- Higher Support score (8/10 vs 7/10)
Pros & Cons
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.
PolyAI
Pros
- Reviewers repeatedly praise its natural-sounding voices and its handling of interruptions and topic changes in multi-turn calls.
- PolyAI claims around 90% end-to-end call resolution on its largest deployments and 99.994% trailing uptime.
- Compliance is strong for regulated industries: SOC 2 Type 2, ISO 27001, PCI DSS, GDPR, and US, UK, EU and APAC data residency.
- Managed pricing bundles maintenance, model upgrades, integrations and 24/7 support.
- One agent can serve voice, SMS, WhatsApp, web chat and email.
- G2 reviewers describe support as responsive during implementation.
Cons
- The platform has no public price, so buyers must go through a sales-led quote.
- Some users report occasional lag or slow responses.
- Reviewers want deeper voice analytics and reporting.
- It can struggle with complex or unusual interactions.
- It relies on underlying telephony providers rather than bundling a full phone system.
- It is oriented toward large enterprises, which makes it a poor fit for small teams.
