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AI Video Studio Platform Dev for VFX Company

Services Covered:

AI and Machine Learning • Custom Software Development • Website Development
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Industry
Industry

Information Technology

Duration
Duration

4 months

Budget
Budget

200K - 999K

Start Date
Start Date

1 March 2025

Team Size
Team Size

11-15

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
83/100
Strong

Project Capability Score (PCS) estimates how capable Radiansys is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Confidential

map India

Project Summary

Radiansys Inc built an AI-based video editing platform for a VFX company, provisioning cloud infrastructure and implementing AI pipelines and multi-agent automation for video analysis, color enhancement, and audio processing. They implemented AWS and GCP provisioning, Terraform, backend orchestration, and a frontend with integrated AI, delivering an MVP between March and July 2025. The client praised the team's AI engineering expertise and responsiveness and expects good user engagement on release.

Key Challenges

  • Build an AI-based video editing platform for content creators, agencies, and studios.
  • Find a partner able to deliver a full-stack, end-to-end solution and coordinate complex AI engineering work.

Project Deliverables

  • Cloud infrastructure provisioning (AWS, GCP, Terraform)
  • Backend orchestration
  • Frontend with integrated AI features
  • AI pipelines and a multi-agent AI system for video analysis, color enhancement, and audio processing
  • Scalable GPU workloads for AI pipelines
  • MVP (delivered Mar–July 2025)

Project Solution

Radiansys Inc implemented the client's cloud infrastructure (AWS and GCP provisioning) using Terraform, orchestrated backend services, implemented the frontend with integrated AI features, and built AI pipelines. They designed a core AI product with multiple agents to automate video analysis, color enhancement, and audio processing, and provisioned scalable GPU workloads to run the models. They collaborated with the client's business analyst and project manager to gather requirements and delivered an MVP.

Project Outcome

  • Delivered an MVP with multiple AI automation features.
  • Project executed smoothly and delivered on time with scalable GPU workloads.
  • Client expects strong user engagement and plans to hire Radiansys Inc again for future work.

Platforms

  • WebWeb

Tech Stack

  • Amazon Web Services (AWS)Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

5star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Radiansys Inc delivered the expected product with multiple AI automation features. The team was highly responsive, handled everything properly, and delivered on time. Overall, the service provider's focus on the project and AI expertise resulted in a smooth project and an effective solution.”

Anonymous

Engineering Manager

Note: This endorsement is based on publicly available client feedback from external review sources.

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