Case study · SaaS platform · In production

ShootPro24AI: AI-Powered Multimedia Workflow Platform

An enterprise-oriented SaaS application combining AI-assisted media processing, cloud storage and delivery, project workflows, client review, quality control, and billing, designed, built, and operated by Pycas Design Innovations.

The challenge

Photographers and e-commerce sellers generate thousands of images per project, all of which need consistent culling, correction, and styling. Traditional editing services return work in days; generic AI tools return it in minutes but with inconsistent results and no one to fix the misses. The market needed the speed of AI with the reliability of a professional editing team.

Pycas knew the problem from the inside, having operated a photo and video editing service with its own contractor editing team. The goal was to build a platform that put AI first while keeping humans in the loop exactly where they add value.

What we built

  • Project workflow. Customers create projects, bulk-upload media to cloud storage, choose an editing profile, and track progress through processing, review, and delivery.
  • AI-assisted editing. Two independent AI engines behind a single job model: style-matched photo editing for photographers, and product-image automation (cutouts, studio finish, lifestyle scenes, ghost mannequin) for e-commerce.
  • Quality scoring and human review. Every AI result receives a confidence score. Results below threshold are automatically routed to human editors, so customers never receive an unacceptable edit and editor time is spent only where needed.
  • Client review and delivery. Preview, approve, or request rework; final assets delivered via CDN-backed secure download.
  • Billing and account lifecycle. Subscription and pay-per-use pricing, a 10-day free trial, first-year promotions, and account management via Stripe.
  • Customer outreach. Built-in campaign tooling: contact import, personalized scheduled sends, and open/click tracking.
  • Video tooling. Beat detection and analysis to accelerate highlight-reel editing.

Architecture

The platform runs on AWS with clear separation between the web front end, the API, storage and delivery, asynchronous processing, and external services.

Customers & editors Browser · desktop & mobile CloudFront React app + media CDN Cognito Authentication Spring Boot API Java 21 · Elastic Beanstalk REST · workflows · billing · scoring RDS PostgreSQL Flyway migrations S3 Originals & deliverables SQS job queue Async media processing Processing workers Confidence scoring · review routing AI engines Photo editing · product imaging Rekognition Content analysis Human review Low-confidence edits Stripe Subscriptions · pay-per-use · trials SES + SNS Transactional & campaign email, tracking GitHub · CI/CD Versioned builds & deployments

ShootPro24AI system architecture on AWS. Requests flow left to right; media processing runs asynchronously through the queue and workers, with low-confidence results routed to human editors.

Outcomes

  • AI edits delivered in minutes rather than the multi-day turnaround of manual services.
  • Two AI providers integrated behind one consistent job model, so new engines can be added without changing the product.
  • Human review concentrated on the small share of results that need it, protecting quality while controlling editor hours.
  • A live platform with production billing, trial-to-paid conversion, transactional email, and its own outreach engine.

Why this matters for your project. The hardest components of ShootPro24AI (AI orchestration, confidence scoring, human-in-the-loop routing, asynchronous media processing, usage-based billing, and email at scale) are exactly what most organizations need when they bring AI into their own operations. We have already built and hardened them.

What we'd build for you

Every industry has its version of "thousands of files that need the same careful treatment": permits, claims, inspections, catalogs, records. If yours involves images, video, documents, or repetitive expert judgment, this pattern applies directly. Tell us about your workflow and we'll map out what a first version would take.