Alpha in development · Denver, CO

Strength training.
Automatically recorded.

LiftSense uses computer vision and on-site AI to capture every rep, set, load and bar path on the gym equipment you already have. No wearables. No manual logging.

LiftSense product concept: a camera mounted on a squat-rack upright above a tablet showing set, reps, load and bar path
PLATE 45 LB · 0.97
PLATE 45 LB · 0.94
CAM 01
LIVE · EDGE INFERENCE
0wearables or manual entry
<1son-device inference target
16bar and plate classes in our dataset
100%video processed on-site
The problem

Most lifting goes unrecorded

Logging every set by hand interrupts the workout, so most lifters don’t do it. The tools that exist weren’t built for the barbell.

01

Lifters

Typing sets into an app between reps is tedious. Miscounted reps and forgotten weights mean lost progress.

02

Coaches

No one can watch every rep of every athlete. Load, depth and bar path go unmeasured.

03

Gyms

Wearables track steps, heart rate and sleep, not the barbell. Owners have little insight into their strength floor.

Built for the big lifts

Squat rack first. Bench press next.

We’re starting with the two stations where tracking matters most, and where shared gym conditions are hardest: changing light, plates hidden behind plates, and spotters in the frame.

A lifter performing a barbell back squat in a gym
SQUAT · TRACKING

Squat

Alpha · now
  • Plate and load recognition
  • Rep and set counting
  • Bar path tracking
  • Depth classification
A lifter performing a barbell bench press in a gym
BENCH · TRACKING

Bench press

Next phase
  • Load recognition
  • Bar-to-chest and lockout
  • Rep and set counting
  • Spotter-aware tracking
The technology

Camera to coach in under a second

A fixed camera and an on-site edge computer turn each lift into structured training data. Nothing to wear, nothing to type.

01 / CAPTURE

Rack-mounted vision

A camera clamps to the upright, no drilling, and sees the bar, the plates and the lifter without getting in the way of lifting or spotting.

camera → 1080p · fixed mount
02 / ANALYZE

On-site AI

Object detection identifies each plate to calculate load. Pose and motion tracking segment reps, follow the bar path and check depth.

detect → plates · bar · pose
03 / DELIVER

Rack, app, dashboard

The lifter sees the set live at the rack and in their own app. Coaches and gym operators review trends on a dashboard.

sync → member app · coach view
LIFTSENSETODAY
Suggested nextPush day
ChestShouldersTriceps
Logged automaticallyBack squat · 3 × 5 · 225 lb
Weekly volume
Caution · load jump

Squat load is up 18% from last week. Consider 205 lb today.

Member app

A coach in every pocket

Every lifter who opts in gets their own app, filled automatically from the rack.

Automatic workout history

Every set, rep and weight captured at the rack lands in the lifter’s training log.

Smart suggestions

Which muscle groups to train next, based on what they’ve done and how recently.

Overload alerts

Flags when weight or reps jump too far too fast, to help lifters avoid overtraining.

Member app in development. Suggestions are training guidance, not medical advice.

Privacy by design

A camera in a gym has to earn its place

LiftSense is built so members stay in control of their data.

Opt-in onlyMembers choose whether to take part.
Processed on-siteVideo is analyzed locally and deleted after analysis.
Never soldData is used only to deliver and improve the service.
No rack changesClamp-on hardware, removable without modification.
Roadmap

From the lab to the gym floor

We’re preparing a controlled pilot at a partner gym in Colorado.

Complete

Core software

Plate detection framework, load calculation, lifter ID and annotation tooling.

Now · Alpha I

Lab validation

Integrated camera, edge compute and app running the squat pipeline.

Next · Alpha II

Live squat rack

One rack in a partner gym with real members and coach feedback.

Then · Alpha III

Squat + bench

A second movement pattern, spotter occlusion and repeated sessions.

Team

Builders who ship products

LiftSense is developed with CO-Innovate, a Denver product-development and advanced-manufacturing firm.

Ian Brown, LiftSense co-founder

Ian Brown

Co-founder
  • Founder and principal manufacturing engineer, CO-Innovate
  • Took aerospace propulsion hardware from development to production
  • Launched a 150,000+ unit product line
Michael Caston, LiftSense co-founder

Michael Caston, Ph.D.

Co-founder
  • Founded the University of Denver Innovation Labs
  • Product development and commercialization since 2007
  • 200+ industry projects; hundreds of products brought to market
Partner with us

Put LiftSense in your gym

Do you run a gym, coach athletes or invest in sports technology? We’re looking for pilot partners and early supporters.