Core detection is designed to run in the iOS app with the model embedded directly in the product
HitFactor
Video intelligence for competitive shooting
HitFactor is an iOS product in development that analyzes raw match footage to detect events, segment runs, and generate performance analytics from video.
In active developmentProduct company, not services
Intended users: Competitive shooters who want structured timing, review, and performance data from POV and match video.
Representative in-development iOS workflowIn active development
HitFactoriOS run review
Stage 5 timeline with event markers and splits
iPhone run reviewOn-device model
Frame streamShot + event detections
Marker 1Marker 2Marker 3Marker 4Marker 5
Start detected
Shot burst clustered
Finish confirmed
Embedded model pipeline
Runs in the iOS app with the model bundled into the product
Transforms raw footage into timeline markers and run segments
Generates structured review output for analytics and playback
On-device detection
Embedded model identifies shots and key events directly on the device.
Run segmentation
Translate detections into a stage timeline with splits and review anchors.
Structured review
Generate output that can drive analytics, playback, and coaching feedback.
iOS appEmbedded modelTimeline reviewStructured output
What this representative workflow demonstrates
Public product preview showing the workflow we are building in the iOS app: an embedded model detects shots and events on device, then the product assembles a review timeline and structured feedback.
Runtime
On-device iOS model
Review mode
Run timeline
Output type
Structured review data
Why This Product Exists
What HitFactor is designed to do
The product is being built for competitive shooters who want structured timing and review data from POV and match video, with core detection running inside the iOS app through an embedded model. HitFactor is an iOS product in development where embedded model inference turns raw match video into structured timing and review data.
Cloud infrastructure supports training, evaluation, storage, and iteration around the app
Built as a scalable product workflow, not a manual video-analysis service
Core capabilities
- On-device shot and event detection from video
- Run segmentation and timing analysis
- Analytics generated from raw footage
- Media ingestion and processing pipelines
- User-facing review and feedback workflows
Representative workflow
- 1Import POV or match footage into the iOS app and prepare it for analysis
- 2Run on-device detection to identify shots and key events, then segment the run
- 3Generate timeline review data and analytics from the resulting event stream
Infrastructure Fit
How the product connects to the AI stack
These workloads are why Busic is building on cloud infrastructure from the beginning.
Training, evaluation, and iteration for embedded video models
Storage and sync for footage metadata, derived event streams, and review artifacts
Product telemetry, APIs, and release infrastructure for ongoing product improvement
Business model
Busic is building digital products delivered through software, subscriptions, and cloud-connected product experiences. This product page exists to make that model visible publicly.
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