What was the impact of the AI solution?

Customers using the CLEAR AI platform reduced content localization costs by up to 30 percent. Localization workflows were accelerated by 30 to 40 percent. Accuracy improved by 20 to 30 percent versus other vendor solutions. PFT also reported that the AWS-supported development approach helped accelerate time to market.

Source

ProductionEvidence: Medium65/100

Prime Focus Technologies: agentic localization automation on Amazon Bedrock

Use case typeWorkflow orchestrationUpdated Jun 13, 2026

Prime Focus Technologies (PFT), headquartered in India, is a media and entertainment cloud technology provider that developed its CLEAR AI platform to automate complex localization workflows for broadcasters, studios, and streaming platforms. The platform targets long-duration tasks such as subtitling, language translation, and transcript generation, with the goal of reducing turnaround time, improving accuracy, and controlling operating costs for customers.

Organization: Prime Focus Technologies
Industry: Tech & Comms
Location: India
Published: April 2026

Reported outcomes

−30%

costCost savings

30-40%quantified impact20-30%accuracy

Strategic outcomes

Speed & agilityAccelerated localization workflowsCost efficiencyReduced localization operating costsCustomer experience & trustImproved localization accuracySpeed & agilityAccelerated time to market

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Cost: 30% decrease

AWS Solutions Case StudyApr 29, 2026Case studyInferred claimMedium evidence strength

Customers using the CLEAR AI platform reduced content localization costs by up to 30 percent.

Normalized claim

Quantified impact: 30-40%

AWS Solutions Case StudyApr 29, 2026Case studyInferred claimMedium evidence strength

Localization workflows were accelerated by 30 to 40 percent.

Normalized claim

Accuracy: 20-30% increase

AWS Solutions Case StudyApr 29, 2026Case studyInferred claimMedium evidence strength

Accuracy improved by 20 to 30 percent versus other vendor solutions.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Prime Focus Technologies
Provider: AWS
Maturity: Production
Linked source: AWS Solutions Case Study

The company wanted to improve speed and accuracy while keeping operational costs under control for media customers

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Agentic AI
2Workflow Automation
3Content Localization

PFT needed to automate long-duration localization workflows that were traditionally manual or human-in-the-loop.
The company wanted to improve speed and accuracy while keeping operational costs under control for media customers.
It also needed a scalable managed generative AI service that could support enterprise customer environments.

PFT built and deployed AI agents for CLEAR AI using Amazon Bedrock with Anthropic Claude.
The company engaged AWS Prototyping and Cloud Engineering (PACE) to rapidly prototype and build the solution, moving from weeks rather than months.
PFT used LangGraph to support agentic workflows and implemented a supervisor architecture in which multiple AI agents collaborate on localization tasks.
AWS Lambda is also mentioned as part of the AWS technology stack supporting the solution.

Technologies

Amazon Bedrock Anthropic Claude LangGraph AWS Lambda

Customers using the CLEAR AI platform reduced content localization costs by up to 30 percent.
Localization workflows were accelerated by 30 to 40 percent.
Accuracy improved by 20 to 30 percent versus other vendor solutions.
PFT also reported that the AWS-supported development approach helped accelerate time to market.

Architecture

CLEAR AI uses Amazon Bedrock with Anthropic Claude and LangGraph in a supervisor-style multi-agent architecture. AWS PACE supported rapid prototyping and deployment, and AWS Lambda is mentioned as part of the implementation stack.

Sources & evidence1

Evidence: Medium65/100Evidence strength