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TruLayer

TruLayer

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#1678 Radar 58

Ensures production AI reliability with tracing, evaluations, and automated control loops.

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Product memo

AI teams shipping LLMs to production use TruLayer to maintain reliability. It goes beyond basic tracing, offering automated evaluations, fallbacks, human-in-the-loop approvals, and automatic rollbacks. This closed control loop system fixes failures before they impact users, positioning the product as a critical reliability layer for production AI.

For who

AI teams shipping LLMs to production

Solves what

Ensures production AI reliability with tracing, evals, and automated control loops.

  • Real-time tracing
  • Automated control loop
  • LLM evaluation
"

In their own words

Your AI nails the demo. TruLayer makes it nail production.

Evals score every output. A closed control loop retries with a fallback model, gates high-stakes actions on human approval, and rolls back automatically when a fix introduces a new regression — turning every production failure into a system fix before it hits the next user.

Turning every production failure into a system fix before it hits the next user.

Commercial cues

Pricing snapshot Pricing still unknown

Model

usage_based

Free tier

Yes

Trial

Available

No public pricing tiers captured.

Operator context

Founded

May 2026

Platform

Web app

Audience

Developers

Social / footprint

Builder Strategy

Strategy Type
Niche Specialist
Stage
Vc Growth
Effort
Small Team
About TruLayer Expand

TruLayer provides an AI reliability platform for teams deploying large language models in production. It offers real-time tracing to monitor LLM interactions and automated evaluation features to assess performance.

The core value lies in its automated control loop, which includes AI-suggested prompt improvements and human-in-the-loop approval, allowing systems to fix production failures proactively. This specialized focus helps AI teams maintain stable and predictable LLM applications, turning every production issue into a system fix before it reaches the next user.

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