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Marker

usemarker.ai·LLM eval & observability·🇺🇸

Marker provides a platform for observing real voice and chat agents, running lifelike simulations, and evaluating every interaction with shared Markers. It supports on-prem and air-gapped deployments to keep data in customer environments. The system includes loops for improving both agents and the evaluation process itself by routing machine judgments to humans for labeling, measuring agreement, and refining monitors and simulations. It is designed for teams building production voice agents who need reliable, grounded evaluation in their own cloud or on-premise infrastructure.

EnterpriseWebSelf-hostedCloud-managedAPI
MMarker preview
Visit usemarker.ai↗

Overview

6 features

Marker is a LLM eval & observability project. It focuses on evaluating and improving the quality of voice and chat agents without reliable automated judges or consistent human feedback. Marker is a B2B product aimed at AI agent developers and ML teams. Marker is sold on an enterprise-only basis. It runs on the web and API, and it can be self-hosted.

It is developed by Marker (United States), and it first shipped in 2025. Among its 6 catalogued features are on-prem deployment, agent simulation, and human-in-the-loop labeling. It exposes integrations via a public API.

Summary written by a language model from the project’s public pages.

  • ✓On-prem deployment
  • ✓Agent simulation
  • ✓Human-in-the-loop labeling
  • ✓Eval calibration
  • ✓Shared markers
  • ✓Zero-egress mode
Tags
voice-agent-evalsagent-simulationhuman-labelingon-prem-aijudge-alignment
AI capabilities
AudioText
Inference: Cloud API

Built with & integrations

Framework
Astro
Hosting
Cloudflare
AI providers
openai
Connectors
API
Runs on
BrowserSelf-hostedCloud-managedAPI-only
Detected from
Astro
/_astro/ in the HTML
openai
bgpt- in the HTML
Cloudflare
cf-ray header · cf-cache-status header

Trust & compliance

Verified signals
✓HTTPS✓Privacy Policy✓Terms of Service
Legal
Privacy Policy →Terms of Service →

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed29 Jul · 16:13 UTC
    Show HN: On-prem-deployable voice agent simulation and evals verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about Marker

What is Marker?
Marker focuses on evaluating and improving the quality of voice and chat agents without reliable automated judges or consistent human feedback. It is catalogued under LLM eval & observability on PulseGate.
Who should use Marker?
Marker is a B2B product built for AI agent developers and ML teams.
Does Marker have a free plan?
No — Marker is sold on an enterprise-only basis.
What platforms does Marker run on?
Marker runs on the web and API. It can also be self-hosted.
Is Marker still maintained?
Unverified. Marker has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What are alternatives to Marker?
Similar projects tracked by PulseGate include constraintloop, trajectory-judge, and COHESION.constraintlooptrajectory-judgeCOHESION
Who makes Marker?
Marker is developed by Marker, based in the United States.
How long has Marker been around?
Marker first shipped in 2025.

At a glance

Pricing
Enterprise · pricing page detected
Platforms
Api · Web
Languages
English
Built for
AI agent developers and ML teams
Model
B2B
Solves
Evaluating and improving the quality of voice and chat agents without reliable automated judges or consistent human feedback.

Live coverage

Identity confidence
Medium · 84.8
Indexed
29 Jul 2026
Lifecycle
Alive
Last seen
29 Jul 2026
Identity audit (13)
Slug
show-hn-on-prem-deployable-voice-agent-simulation-and-eva-usemarker-ai
Lifecycle state recorded
29 Jul 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
29 Jul 2026
Timeline basis
Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from
Derived from the project's own page and URL.
Category from
Assigned by a language model.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model, checked against the page's own declaration.
Last updated
29 Jul 2026
Canonical URL
https://usemarker.ai/

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