AI Consumer SaaS

Vortova

An all-in-one AI fitness platform combining adaptive AI coaching, real-time exercise form analysis via on-device pose detection, budget-aware nutrition planning with grocery price comparison, and social accountability — shipping as a web PWA and native iOS/Android apps.

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4Core Software Modules

6AI Capability Domains

2Native Platforms Shipped

Software suite

The software layers inside the platform.

Software 01

Adaptive AI Coach

The LLM-driven programming layer that builds and adjusts training plans around each member's goals, equipment, and progress.

LLM-driven workout programming and periodization
Plan adjustments based on logged performance and recovery
Conversational coaching for guidance and check-ins

Software 02

Real-Time Form Analysis

The computer-vision layer that reads exercise form from the camera feed and gives feedback as reps happen.

On-device pose detection during live sets
Rep counting and form-fault flagging in real time
No video leaves the device — processing stays local

Software 03

Budget-Aware Nutrition & Grocery Price Engine

The planning layer that builds meal plans around macros and goals while comparing grocery prices to fit a budget.

Macro- and goal-aware meal plan generation
Grocery price comparison across ingredients
Budget targets factored into every plan

Software 04

Social Accountability & Progress

The engagement layer that keeps members accountable and visualizes progress over time.

Progress tracking across workouts and nutrition
Social accountability features between members
Cross-platform sync across web and native apps

Capabilities

What the platform enables operationally.

Adaptive programming

Generate and continuously adjust training plans as a member's performance, recovery, and goals change.

On-device form analysis

Give real-time feedback on exercise form using pose detection that runs on the device, not the cloud.

Budget-aware meal planning

Build nutrition plans that hit macro targets while comparing grocery prices to stay within budget.

Social accountability

Keep members engaged and consistent through progress sharing and accountability features between members.

Cross-platform delivery

Ship one product experience as a web PWA and as native iOS and Android apps from a single codebase.

Progress tracking

Visualize training and nutrition history over time so members and coaches can see what's working.

Delivery stack

Implementation layers behind the product.

Frontend

Next.js 16, React, and TypeScript for the web PWA, shared with Capacitor to ship the native iOS and Android apps.

AI & Computer Vision

LLM orchestration for adaptive coaching plans, paired with an on-device pose-detection model for real-time form analysis.

Data

PostgreSQL for member, training, and nutrition data, backing the coaching, nutrition, and progress-tracking modules.

Infrastructure

Edge and serverless deployment for the web PWA, with Capacitor-built native binaries distributed to iOS and Android.

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