Skip to content

Selected Work

Vetaze and Aprotona are services Projectkhen designed and built — from data collection and algorithms through cloud APIs, web, and mobile. They are not separate brands; they are what this team ships.

Vetaze homepage — a pet medical information interpretation platform, with a field for entering symptoms, prescriptions, or test results

Veterinary AI · Time-series · Imaging · LLM

AI-Powered Veterinary Interpretation Platform

A veterinary-specific system that interprets companion-animal time-series health data, owner-reported symptoms, and medical imaging into structured clinical support.

Scope
Algorithm · Model tuning · Product
Stack
Cloudflare · Standalone LLM
  • Time-series-based interpretation algorithm — design and implementation
  • AI-powered clinical consultation and intake system for evaluating the clinical condition of companion animals
  • Analytical engines for dermatological and ophthalmological symptoms — design, development, and deployment
  • X-ray interpretation algorithm and analytical engine
  • Fine-tuning of LLMs on open datasets and veterinary X-ray datasets
  • Veterinary-specialized AI interpretation system built on those fine-tuned models and proprietary analytical algorithms
Visit site
A-PROTONA landing page

Data intelligence · Synthetic persona · FGD

Data-Grounded Persona and Market Intelligence Platform

A market-analysis system that normalizes external statistical, economic, and market data into anchor sets, then generates synthetic personas and focus-group discussions from them.

Scope
Data pipeline · Algorithm · App
Output
Personas · Synthetic FGD
  • Collection and analysis of data from 167 international organizations, national statistical agencies, banks, economic institutions, and marketing research organizations
  • Mathematical algorithms for persona generation — design and implementation
  • Integration of the persona-generation algorithms with LLMs to produce data-grounded synthetic personas
  • System architecture, FGD framework, and market-analysis workflow
Visit site

Have a project in mind?

Tell us the problem, the system you run today, and the data you hold. We review the technical scope before proposing a next step.