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Seclai vs Alexein

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 Alexein
DetailSeclai logo SeclaiAlexein logo Alexein
What it doesProduction infrastructure for AI applications with observability, governance, and multi-model support Memory for AI agents and the people using them
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelNot given Freemium
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. Free: 10,000 events and 1,000 retrievals per month. Starter: $13/month for 50,000 events and 5,000 retrievals. Pro: $100/month for 500,000 events and 50,000 retrievals. Scale: $399/month for 2,500,000 events and 250,000 retrievals. Enterprise: Custom pricing.
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
  • Search memory with dates and sources
  • Memory history and item versions
  • Data erasure with receipt
  • Correct and edit facts
  • Works with Claude, ChatGPT, Cursor and GitHub Copilot
  • Integrates with LangGraph, CrewAI and OpenAI Agents SDK
  • Connect to Slack, Notion, Linear, Jira and GitHub
  • Hosted MCP server
  • Item expiry
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
  • Reduces token usage while improving context accuracy
  • Privacy and data control built in, not bolted on
  • Nothing is dropped when limits are reached
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)12 +1 (up) since last check10 +7 (up) since last check
Trust Flow (Majestic)60
Citation Flow (Majestic)2012
Referring domains (Majestic)223

4 details filled in for both companies.

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