# Seclai

> Production LLM infrastructure: model portability, output validation, eval, observability, RAG, memory, governance, and cost management.

Production LLM infrastructure: model portability, output validation, eval, observability, RAG, memory, governance, and cost management. 200+ models. Try it free.

## Facts
- Website: https://seclai.com
- Categories: AI & Machine Learning, Developer Tools
- LotsDirectory page: https://lots.directory/products/seclai
- Listing state: Unclaimed. We listed this product from its public website, and its owner has not claimed it yet.

## Detailed info

## What is Seclai?

Seclai is a production LLM infrastructure platform for orchestrating, evaluating, and observing AI agent workflows.

## What Seclai does

Seclai provides runtime infrastructure for AI applications, connecting over 200 models across providers like OpenAI, Anthropic, and Google under a unified API. The platform provides step-level run traces, automated output evaluations, natural-language governance screening for inputs and outputs, and RAG pipelines with semantic search. Agents support persistent memory banks, cron schedules, inbound email triggers, and an MCP server.

## Who Seclai is for

Teams building and deploying production AI applications who have to answer for what they ship.

## How Seclai works

Developers design multi-step agent pipelines visually or via code, attach knowledge sources and memory banks, configure governance policies, and run agents via webhooks, schedules, or API calls.

## Key features

- Connects to over 200 AI models across providers including OpenAI, Anthropic, Google, and DeepSeek.
- Provides step-level execution traces detailing latency, status, credit costs, and governance results.
- Screens inputs and outputs using natural-language governance policies with configurable flag and block thresholds.
- Builds RAG pipelines with automatic chunking, embedding, reranking, and semantic retrieval.
- Equips agents with persistent memory banks spanning conversations and sessions.
- Supports agent execution through cron schedules, webhooks, inbound email, and an MCP server.

## Pricing

As listed on seclai.com, checked 8 November 2026. Prices can change; see the site for current terms.

- Personal: $15 per month for 25,000 credits, 5 agents, memory banks, knowledge bases, and MCP server.
- Starter: $25 per month for 50,000 credits, 10 agents, 1 organization, governance, and agent evals.
- Team: $75 per month for 100,000 credits, 25 agents, 5 organizations, and co-branded emails.
- Pro: $375 per month for 500,000 credits, 100 agents, 25 organizations, and white-label agent emails.
- Credit top-up: $10 for 100,000 credits with no expiration.

## Facts from seclai.com, checked 8 November 2026

- Supports integration across 200+ models from major providers.
- Provides a 14-day free trial on the Starter plan.
- Includes built-in MCP server access across all subscription tiers.
- Enforces natural-language governance policies with numerical flag and block thresholds.

Written from Seclai's own website ([Homepage](https://seclai.com/), [Pricing](https://seclai.com/pricing), [Docs](https://seclai.com/docs/)). The maker can claim this listing to edit it.

## FAQ

### What is Seclai?
Seclai is a production LLM platform that handles model portability, agent orchestration, evaluation, observability, and governance.

### How many models does Seclai support?
The platform supports over 200 models from providers including OpenAI, Anthropic, Google, Amazon, DeepSeek, and Meta.

### What is governance in Seclai?
Governance allows teams to screen inputs and outputs against safety and compliance policies written in plain English, using flag and block thresholds.

### Do unused credits roll over?
Monthly plan credits do not roll over, but credits purchased through top-ups never expire and remain in the account until used.

### Is there a free trial?
Yes. New accounts receive a 14-day free trial on the Starter plan with full feature access.

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Source: https://lots.directory/products/seclai · Machine-readable context by LotsDirectory.