Introduction
Seclai is a production LLM platform that handles everything around the model call — model portability, retries, evaluation, observability, RAG, memory, governance, and cost management — so you can ship AI features with confidence.
What is Seclai?
Seclai lets you build multi-step LLM workflows that go beyond a single API call. Connect content sources like RSS feeds, websites, and documents, build retrieval-augmented pipelines, and deploy agents with built-in retries, evaluation, governance, and full observability. Every real-world LLM feature involves multiple model calls — Seclai provides the production infrastructure to make them reliable, observable, and cost-effective.
Key Features
- Model Portability - Access 50+ models (Claude, GPT, Gemini, Llama, and more) with a single integration. Swap providers without changing code.
- Resilience & Retries - Auto-retry on bad or malformed output with fallback models and structured output validation
- Evaluation - Systematically score LLM responses to catch quality regressions before users do
- Full Observability - Trace every LLM call across multi-step pipelines with step-level input, output, latency, and cost data
- RAG Infrastructure - Connect RSS feeds, websites, and custom APIs. Auto-chunking, embedding, and semantic retrieval built in.
- Memory Banks - Give agents persistent memory that spans conversations and sessions — see Memory Banks
- Governance & Compliance - Screen agent outputs and source content against safety, privacy, and compliance policies with automatic flag-or-block verdicts
- Cost Management - Per-model, per-agent, per-step cost tracking with credit-based pricing and budget alerts
- Visual Workflow Builder - Design multi-step LLM pipelines visually with native provider syntax support
- Full API Access - Integrate workflows into your applications with our REST API
What Can You Build?
With Seclai, you can automate:
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Content Monitoring - Track RSS feeds and websites for new content. Get notified when competitors publish, news breaks, or topics trend.
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Multi-Step LLM Pipelines - Chain retrieval, generation, validation, governance checks, and actions into reliable workflows. Each step in the pipeline has full observability.
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Knowledge Base Agents - Build AI assistants that answer questions using your indexed content with built-in RAG. Perfect for customer support, internal documentation, or research tools.
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Automated Processing - Use 50+ AI models to analyze, extract, and transform data. Summarize articles, extract entities, classify content, or generate insights — with retries and quality evaluation built in.
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24/7 Automation - Deploy workflows that run continuously, monitoring and processing data around the clock. No servers to manage, no infrastructure to maintain.
Why Seclai?
Building custom AI automation is hard. Every real-world LLM feature involves multiple model calls, each requiring retries, evaluation, governance, and observability. Teams spend months rebuilding this infrastructure instead of shipping product.
We built Seclai so you don't have to rebuild that infrastructure.
Skip Months of Infrastructure Work - Building production LLM infrastructure from scratch requires 3-6 months of development time. With Seclai, all eight production pillars — model portability, retries, eval, observability, RAG, memory, governance, and cost management — are built in from day one.
Purpose-Built for LLM Production - Unlike generic automation tools, Seclai is designed specifically for the challenges of running LLMs in production. Native support for multi-model pipelines, structured output validation, and systematic quality evaluation.
No Vendor Lock-In - Use any of 50+ AI models. Switch between Claude, GPT, Gemini, Llama, and others with a dropdown. Your workflows, your choice. Export all your data at any time in standard formats.
Complete Observability - Trace every LLM call across multi-step pipelines. See input, output, latency, token usage, cost, and quality scores at each step.
Focus on Your Product - We handle the infrastructure complexity. You focus on building features that drive value for your users.
Getting Started
Ready to build your first AI workflow? Check out our Getting Started guide to deploy your first agent in minutes.