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Seclai vs Flowable

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Seclai compared with Flowable
DetailSeclai logo SeclaiFlowable logo Flowable
What it doesProduction infrastructure for AI applications with observability, governance, and multi-model support The Agentic Case Platform for Regulated Industries
StageNot given Established
FoundedNot given 2010
Based inNot given CH
Pricing modelNot given Contact for pricing
PricingPersonal $15/month (25,000 credits); Starter $25/month (50,000 credits); Team $75/month (100,000 credits); Pro $375/month (500,000 credits). Additional credits available at $0.10 per 1,000 credits. Not given
Key features
  • Step-level observability with traces showing status, latency, credits, and governance for every step
  • Natural-language governance policies with flag and block thresholds
  • Model portability: swap 200+ models at any time without code changes
  • Automatic content ingestion and vector database indexing for RAG
  • Persistent memory banks for conversation context
  • Cost tracking per model, agent, and step with credit-based pricing
  • Structured output validation ensuring quality responses
  • HTTP endpoints for every agent with SDKs for Python, JavaScript, Go, and C#
  • ML-based prompt scanner blocking injection attacks in real time
  • Evaluation framework with evals that run locally, in CI, and in production
  • Agent Orchestration - agents work on real cases with people in the loop
  • Policy Controls & Governance - set what agents can and cannot do at runtime
  • Observability & Audit Trail - every decision traceable and logged
  • Case Management - complex long-running cases with dynamic routing
  • Open-Standard Engines - BPMN, CMMN, and DMN
  • Enterprise Cloud - secure, scalable cloud deployment
  • Human-in-the-loop - people and agents share processes with sign-off
  • Seamless integrations with third-party systems via REST APIs
  • AI agent integration with OpenAI, Anthropic, Azure AI, AWS Bedrock
What makes it different
  • All production LLM features unified in one runtime with no orchestration stack to assemble
  • Local development environment matches production exactly for debugging and verification
  • Swap between 200+ models without changing code or workflow logic
  • Governance and compliance built-in with real-time prompt injection blocking and policy evaluation
  • Transparent credit-based pricing where all operations consume predictable, tracked credits
  • Purpose-built for regulated industries where every action must be attributable, defensible, and reversible
  • Open standards (BPMN, CMMN, DMN) prevent vendor lock-in with transparent, portable processes
  • Proven at scale - trusted by 600+ enterprises, processes 1 billion events daily
  • Built-in compliance and audit trails for regulated work requiring transparency and accountability
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)8 −1 (down) since last check61 no change since last check
Trust Flow (Majestic)619
Citation Flow (Majestic)2042
Referring domains (Majestic)22666

3 details filled in for both companies.

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