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Seclai

Everything you need around your LLM calls.

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Your LLM app works in development. Then production hits: silent failures, prompt injection, cost spikes, models get deprecated. Seclai is everything around the LLM call. Every agent run is traced step by step. Governance policies are written in plain English and screen every input and output. Evals run identically locally, in CI, and in production. When something breaks, replay the trace to find the cause. 200+ models on one account, switchable per step. SDKs for Python, JavaScript, Go, and C#.

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PH · launched Oct 22, 2026 · 11 upvotes (top 4%)

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Could you build this?

Partial Tracing, eval dashboards, and LLM API wrappers are buildable, but reliable prompt-injection detection and policy screening need security and ML expertise plus ongoing model maintenance.

What it would actually take: The base is a tracing and observability pipeline (OpenTelemetry-style spans, a storage backend, and dashboards) wrapped around multiple LLM providers. The hard parts are a robust prompt-injection and output-screening classifier that resists adversarial inputs, and evaluation tooling that stays accurate across model changes. Building it credibly requires ML security researchers and continuous red-teaming.

Competitors

Other products that read as similar to this one : 64 launches clear the similarity bar, closest 8 shown.

Attention rank: #5 of 65 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 355 days after the earliest competitor.

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