Cassidy AI vs Langbase

Detailed side-by-side comparison to help you choose the right tool

Cassidy AI

🟢No Code

AI Tools for Business

Cassidy builds knowledge-grounded AI agents and workflows for operationally complex industries — insurance, manufacturing, employee benefits — inside Teams, Slack, Chrome, and Word.

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Starting Price

Free

Langbase

🔴Developer

serverless AI agent platform

Langbase review for serverless AI agents: pipes, memory, RAG, pricing, pros, cons, use cases, and developer rollout advice.

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Starting Price

Free

Feature Comparison

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FeatureCassidy AILangbase
CategoryAI Tools for Businessserverless AI agent platform
Pricing Plans200 tiers272 tiers
Starting PriceFreeFree
Key Features
  • Core workflow: Cassidy builds agents and workflows for CRM context, meetings, RFP responses, support triage, and technical knowledge retrieval.
  • Integrations and scale: The pricing page lists agents, workflows, brand voice, knowledge collections, scheduled triggers, human-in-the-loop steps, webhooks/API, conditional logic, retries, bulk execution, research blocks, audit trails, and deployments into Slack, Teams, Gmail, Outlook, Word, Excel, Chrome, and APIs.
  • Governance and limits: Security claims include SOC 2 Type II, encryption, no model training on customer data, SSO on higher tiers, and GDPR support.

    Cassidy AI - Pros & Cons

    Pros

    • Vertical playbooks for insurance, PEO, industrials, and professional services beat generic agent templates
    • Model-agnostic runtime — no lock-in on any single LLM provider
    • Free Starter with 3 seats, 10K credits/month, and 30K pages is a genuine evaluation tier, not a teaser

    Cons

    • Business pricing is custom only — no published rate card makes budgeting and CFO conversations harder
    • Connector library is narrower than horizontal-first competitors like Dust or Glean
    • Advanced features (audit trail, custom triggers, bulk execution) require Business — Starter is essentially a trial

    Langbase - Pros & Cons

    Pros

    • pricing page exposes concrete credits, pipes, memory and run limits
    • serverless API model can reduce infrastructure work
    • Memory and Pipes cover common RAG and orchestration primitives

    Cons

    • memory limits on lower plans are small for serious RAG workloads
    • credit economics require testing with real prompts and documents
    • custom enterprise details need vendor confirmation

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    🔒 Security & Compliance Comparison

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    Security FeatureCassidy AILangbase
    SOC2✅ Yes
    GDPR✅ Yes
    HIPAA✅ Yes
    SSO✅ Yes
    Self-Hosted❌ No
    On-Prem❌ No
    RBAC✅ Yes
    Audit Log✅ Yes
    Open Source❌ No
    API Key Auth✅ Yes
    Encryption at Rest✅ Yes
    Encryption in Transit✅ Yes
    Data Residency
    Data Retentionconfigurable
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