Seclai vs Skan AI

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 Skan AI
Detail	Seclai	Skan AI
What it does	Production infrastructure for AI applications with observability, governance, and multi-model support	Not given
Stage	Not given	Established
Founded	Not given	2020
Based in	Not given	US
Pricing model	Not given	Contact for pricing
Pricing	Personal $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	Context Graph of Work - continuously updated model of how work gets done across enterprises Blueprint for AI roadmap planning with defensible ROI recommendations Process Intelligence to identify bottlenecks and prioritize automation Engineering Intelligence for unified view of developer work Work-aware agents grounded in real operational context Zero-integration capture across legacy and modern systems In-environment processing with data staying in customer perimeter Agentic Operating Procedures for governed agent execution Audit logs and compliance tracking for every agent decision Built on 25B+ events from 500+ observed processes
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	Observes actual work at scale across enterprise systems rather than relying on assumptions or documentation Delivers AI agents that work in production at scale, not just pilots Provides measurable ROI and audit trails for AI spending and decisions Privacy-first architecture keeps sensitive data within customer environments
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	8 −1 (down) since last check	54 no change since last check
Trust Flow (Majestic)	6	14
Citation Flow (Majestic)	20	38
Referring domains (Majestic)	22	463

2 details filled in for both companies.

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