Everything you need around
your LLM calls.

Seclai is the production infrastructure for AI applications. Orchestrate workflows, evaluate outputs, enforce governance, and switch between 90+ models — visually or in code.

Dashboard
Last 7 days
Total traces (Last 7 days)
1,247
Completed (Last 7 days)
1,189
Error rate (Last 7 days)
4.6%
All Agents — Traces & Error Rate (Last 7 days)
All Traces
AgentStatusModeStartedDurationStepsCreditsEvalsGov
Daily security scancompletedeval_and_retryToday, 09:424.2s6/612.4032
Customer support triagerunningsample_and_flagToday, 09:381.8s2/43.101
Compliance auditcompletedeval_and_retryToday, 09:3112.6s8/828.7054
Lead enrichmentcompletedsample_and_flagToday, 09:272.9s3/35.201

Why Seclai

Built for teams who have to answer for what they ship.

Every piece of a production LLM system, unified under one runtime. No orchestration stack to assemble.

01 / Observability

Step-level traces

Every step in every run with status, latency, credits, and governance. Replay any trace from your dashboard.

Step

Status

Dur.

Cred.

Gov

Input Scan

Done

86ms

Evaluate response

Done

1.61s

4.30

02 / Governance

Natural-language policies

Write what you want screened in plain English. Every input and output is graded with flag and block thresholds you set.

Content Safety

Fast

Flag≥0.50 Block≥0.80

PII Protection

Fast

Flag≥0.50 Block≥0.80

Forbidden Topics

Fast

Flag≥0.60 Block≥0.85

03 / Evals

Same runtime for tests

Define eval sets once. Run locally, in CI, and in production — with identical semantics.

faithfulness: 0.94 ↑

04 / Parity

Local = production

What you build and test is what runs in production. Clone any agent and it behaves identically, with nothing to re-verify or debug.

support-agent

support-agent-prod

workflow

models

policies

evals

05 / Models

Swap models, not code

90+ models from every major provider, switchable at agent step.

Anthropic
OpenAI
Google Gemini
Meta
Mistral
Amazon

06 / Deploy

Run from your app

Every agent has an HTTP endpoint. POST an input and you get the output, trace, cost, and governance verdict back on the same call. SDKs for Python, JavaScript, Go, and C#.

POST /agents/{id}/runs

X-API-Key: ••••

{ "input": ... }

→ run_id, output, trace, cost

How it works

Three Steps to Your First Agent

Go from content source to deployed agent in minutes.

Also included

And everything else production demands.

Built-in so you don't have to build it yourself.

AI Assistant

Describe what you need and the assistant configures your agent, sources, and policies. No guessing required.

Resilience & Retries

Auto-retry on bad output with fallback models. Structured output validation ensures quality responses.

Memory

Persistent conversation and general memory banks. Agents remember context across sessions.

Cost Management

Per-model, per-agent, per-step cost tracking. Credit-based pricing with budget controls and alerts.

See It In Action

The full platform, end to end.

Watch a walkthrough from content ingestion to a production-ready agent with all eight pillars working together.

Frequently Asked Questions

Need more info? Browse the docs →

Stop Rebuilding.
Start Shipping.

Everything your LLM-powered features need, built in.

Start your free trial

Free trial · No credit card required