IN THE FIELD GUIDE

praxvon

praxvon.com

Praxvon is a small, founder-led AI-native product studio based in Istanbul that designs and ships software for B2B SaaS, service brands, and industrial businesses worldwide. The studio integrates strategy, product UX, engineering, and growth disciplines end-to-end without handoffs, focusing on shipping actual products rather than slideware.

THE PRODUCT, BEYOND THE PITCH

Automatically researched · Not editorially reviewed · Sources checked Sep 11, 2026

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A good fit for

Clients needing AI-native software products with integrated strategy, UX, engineering, and growth, especially B2B SaaS and industrial businesses. Projects that require close collaboration with senior founders and a small dedicated team.

Know the limitations

Not confirmed yet.

What you can do

Not confirmed yet.

Features

Not confirmed yet.

Integrations

Not confirmed yet.

Platforms & data export

Not confirmed yet.

THE COST FOR YOUR TEAM

Go beyond the starting price.

Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.

PeopleBillingCurrencyPrices are shown as published. No exchange rates are applied.Monthly usage per toolApplies to each tool’s own unit. Leave at 0 for subscription cost only.

Known monthly subtotal

$0.00/month

1 of 1 tools could not be priced with these inputs, so this is not the full cost.

Plan costs based on your requirements
Tool / plan	Monthly	Per year	What this assumes
praxvon	No pricing recorded yet. Check the official site, or ask the owner to add it.

A practical workflow

The studio builds an eval harness for LLM quality regression detection consisting of a JSON file of test cases, a script to run tests against current prompts and models, a comparison step for pass/fail, and a CI hook to block deploys on regressions.
The one-day setup for the eval harness includes writing 15-30 test cases, creating the runner script and CI hook, testing against current prompts, fixing failures, and wiring PR gates and nightly cron jobs.

Based on the sources below. Editorial review does not imply hands-on product testing.

Alternatives to explore

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AI & Agents

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AI & Agents

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AI & Agents

admakeai

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AI & Agents

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Sources & research

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