Busic Systems

Applied AI Systems

We build and deploy custom models for media-heavy workflows, from photo ranking and similarity to video detection and structured review.

First products

The first two products from Busic LLC.

Wizzy applies custom ranking and similarity models to photo cleanup. HitFactor applies custom detection and video-understanding models to competitive review. They are the first products built from Busic LLC's model work.

Wizzy

On the App Store

Custom ranking and similarity models for photo cleanup.

Wizzy turns custom ranking, similarity, and clustering models into a cleanup workflow for duplicates, near-duplicates, and clutter.

It is one of the first Busic LLC products: model work packaged into a consumer app with fast review, clear suggestions, and user control.

Built for: People with crowded personal photo libraries who want to clean up faster without losing control.

  • Use custom ranking models to find duplicates and near-duplicates
  • Apply similarity and clustering models to speed up cleanup review
  • Turn model output into a cleanup flow people can trust and control
Model snapshotOn the App Store
Wizzy App Store screenshot showing cleanup categories, storage savings, and review-first deletion controls.

What it shows

Wizzy shows how custom ranking and similarity models can become a cleanup product people trust enough to use every day.

Platform

iPhone

Models

Ranking and similarity

Output

Cleanup review

HitFactor

In development

Custom detection models for match-video review.

HitFactor applies custom detection and event-extraction models to match video so a run can be reviewed as a structured timeline.

It is an early Busic LLC product built around video understanding, model evaluation, and the infrastructure needed to keep improving results.

Built for: Competitive shooters who want a faster way to review POV or stage video.

  • Use custom detection models to find shots and key events from raw match video
  • Turn model output into a structured timeline for review
  • Improve accuracy through evaluation loops, APIs, and backend systems
Model workflowIn development
HitFactorModel workflow

Run review

Raw video in, model events out, review timeline ready.

Custom model
Stage 503.41 sec window
Shot string grouped
Movement phase detected
Finish and split ready
01
Import video
02
Run detection
03
Review timeline

What it shows

HitFactor shows how custom video models can turn raw footage into structured review data instead of leaving it as a generic video player.

Models

Detection and event extraction

Output

Timeline and structured events

Support

Evaluation loop and APIs

Why Busic Systems

Busic LLC builds custom AI models, then ships them as products.

Busic LLC builds custom AI models, evaluation loops, and infrastructure, then packages that work into products rather than client projects.

What we build

Custom AI models for ranking, similarity, detection, and video understanding, designed around narrow, high-value workflows.

How we ship

Products that combine those models with evaluation loops, APIs, storage, analytics, and deployment infrastructure.

Why this stage matters

Wizzy and HitFactor are the first two products, and this stage is about improving the models, tightening the product loops, and moving from MVP to traction.

Cloud support would help Busic LLC evaluate models faster, run product APIs, store media and derived data, and support analytics, observability, and deployment as the first products grow.

Founder

FB

Founder and direct contact.

Built by Filip Busic.

I’m Filip Busic, founder of Busic Systems and Busic LLC.

Filip Busic

Founder, Busic LLC

I build at the intersection of iOS, applied AI, and media-heavy systems. Busic LLC is where I develop custom AI models and turn them into products people can actually use.