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Seclai

Production infrastructure for AI applications with observability, governance, and multi-model support

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Build and deploy AI agents in minutes with visual workflows, full observability across 200+ models, and built-in governance, cost tracking, and memory.

About Seclai

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The Seclai homepage

Seclai is the production infrastructure for AI applications. It provides everything needed to run LLM-based agents: workflow orchestration with visual or code-based building, step-level observability and tracing, governance policies for content safety and compliance, evaluation tools for output quality, and cost tracking across 200+ models from providers including OpenAI, Anthropic, Google, and Meta.

The platform includes built-in RAG capabilities with automatic content indexing, persistent memory banks for conversation context, human-in-the-loop oversight, resilience features with auto-retry and fallback models, and structured output validation. Agents can monitor RSS feeds, websites, and uploaded files, trigger actions via webhooks, and scale from simple workflows to complex multi-step processes.

Key production features are unified in one runtime—no separate orchestration stack needed. Teams use Seclai for customer support automation, lead enrichment, compliance audits, and other operational workflows requiring monitoring, AI processing, and action triggering. Everything runs on a credit-based pricing system where processing, search, model calls, and storage all consume transparent, predictable credits.

  • rag
  • observability
  • workflow automation
  • governance
  • llm-infrastructure
  • multi-model
  • ai agents

Features worth knowing

  • 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

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.

See Seclai's full pricing (new browser tab)

Seclai metrics

Scan results for seclai.com from Ahrefs (Domain Rating) and Majestic (links); arrows mark the change since the last scan.
MetricValue
Domain Rating8 −1 (down) since last check
Trust Flow6 no change since last check
Citation Flow20 no change since last check
Referring domains22 no change since last check
External backlinks54 no change since last check

Ahrefs Domain Rating scanned 26 Oct 2026, updated 26 Oct 2026. Main topic: Business/Financial Services (6). Majestic scanned 25 Oct 2026, updated 25 Oct 2026. Link stats via Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.

Seclai domain facts

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From the registry's public RDAP record, checked 25 Oct 2026, 18:14 UTC.
Domain age9 months
Registered
Expires
RegistrarAmazon Registrar, Inc.
DNSSECSigned

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FAQ

What does Seclai do?
Seclai is an AI agent automation platform for building agents (workflows) that monitor content, process data with AI, and trigger actions like notifications, webhooks, and exports. It is designed for real-world automation with schedules, retries, usage controls, and visibility into runs.
How does model portability work?
You can select any of 200+ models from Anthropic, OpenAI, Google, Meta, and other providers from a dropdown. Your workflows, prompts, and data stay the same, and you can also use each provider's native syntax for advanced features.
What sources can I connect for RAG?
You can connect RSS feeds, websites, file uploads (PDFs, docs, audio, video), and REST APIs. Content is automatically chunked, embedded, and kept in sync.
How does Seclai protect against prompt injection?
Seclai includes a fast ML-based prompt scanner that screens all input to agents, all content saved to sources, and all webhook responses. The scanner blocks prompt injection attacks in real time before they reach any LLM, with zero LLM cost. This works alongside governance policies which screen outputs after the fact.

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