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Seclai vs unify

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 unify
DetailSeclai logo Seclaiunify logo unify
What it doesProduction infrastructure for AI applications with observability, governance, and multi-model support Models that keep learning
StageNot given Not given
FoundedNot given Not given
Based inNot given US
Pricing modelNot given Not given
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
  • Continuous model training from user interactions
  • Automatic quality improvement
  • Reduced latency and cost over time
  • User-owned learning flywheel
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
  • Models learn inside the harness rather than remaining frozen
  • Eliminates the limitation of frozen models with notepads
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 check56 no change since last check
Trust Flow (Majestic)626
Citation Flow (Majestic)2037
Referring domains (Majestic)22610

3 details filled in for both companies.

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