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Astravue
Case study

How Astravue Improved Translation Quality Without Increasing Costs

Astravue needed machine speed with human accuracy, consistent quality across regions, and pricing a growing company could sustain.

AT A GLANCE
ClientAstravue
IndustrySaaS
Team size8 employees
FoundedDecember 2019
Service usedHybrid AI plus human localization
Favorite featureFour-stage quality control
PublishedMay 2026
60%
Reduction in translation cost vs traditional vendors
3 days
Faster delivery for multi-region rollouts
65%
Reduction in internal rework cycles
Summary

What Did Astravue Achieve With NexTranslate?

Astravue, an 8-person SaaS company scaling content across regions, replaced AI-only translation with NexTranslate’s hybrid AI and human workflow. The result was a 60% lower translation cost than traditional vendors, multi-region rollouts delivered 3 days faster, and 65% fewer internal rework cycles.

Background

A Small Team With Multi-Region Ambitions

Astravue was founded in December 2019 and runs with a team of 8. As it expanded into new regions, the volume of content that needed translating grew faster than the team could manage by hand.

Its first move was AI-only translation. It was fast and cheap, but the output was inconsistent in tone and terminology, and someone on the team had to fix it before anything could be published. The obvious alternative, a traditional localization vendor, delivered the quality but at a price that did not work at Astravue’s volume.

Neither extreme was workable. Astravue needed a partner that combined the speed of AI with the precision of human review, and a workflow built around that combination from the ground up.

The challenge

Two Bad Options and a Growing Workload

01

Inconsistent AI Output

AI-only translation drifted in tone and terminology on business-critical content, so nothing could ship without a check.

02

Vendor Pricing That Did Not Scale

Traditional localization vendors offered quality, but their per-word pricing was out of reach at Astravue’s content volume.

03

Rework Landing on the Core Team

Astravue’s own people spent significant time correcting machine output before publishing, time taken away from the product.

What Astravue needed

A Third Path Between Two Flawed Options

Vendor evaluations made it clear that traditional pricing would not scale with the content Astravue planned to ship. The brief for a new partner came down to three requirements.

“We initially experimented with an AI-only approach, but the quality wasn’t where we needed it to be.”
Ramesh Kumar Ramachandran, CEO, Astravue
  • Combine the speed and scale of AI with the accuracy of human linguists
  • Deliver consistent quality across multiple regions and languages
  • Match content volume without traditional vendor pricing
“Traditional vendors were also significantly more expensive. We needed a model that gave us the right balance, better quality without the cost overhead.”
Ramesh Kumar Ramachandran, CEO, Astravue
The solution

A Four-Stage Hybrid AI and Human Workflow

NexTranslate put every Astravue file through four stages, alternating machine and human work so each stage catches what the previous one misses.

1AI

AI Draft

A fast first-pass translation tuned to Astravue’s domain and terminology.

2HUMAN

Human Refinement

A trained linguist edits for accuracy, tone, terminology and fit for the target locale.

3AI

AI Quality Assurance

Automated checks after editing catch inconsistencies, formatting errors and terminology drift.

4HUMAN

Final Human Approval

A senior reviewer signs off on every file before it is delivered.

Before and after

How the Hybrid Model Compared

AI-only translation, traditional vendors and the NexTranslate hybrid model compared for Astravue
FactorAI-only translationTraditional vendorNexTranslate hybrid
QualityInconsistent tone and terminologyHighLinguist-reviewed on every project
Cost at Astravue’s volumeLowPriced out of reach60% lower than traditional vendors
Speed for multi-region rolloutsFastSlower3 days faster
Internal reworkSignificantNot the bottleneck65% fewer rework cycles
The impact

What Changed for Astravue

Consistent Quality

Every project is reviewed by a linguist, a clear step up from the earlier AI-only output.

Faster Rollouts

Multi-region launches move without the delays of a traditional vendor cycle.

Budgets That Scale

Pricing grows with content volume, so localization is easier to plan for.

Time Back for the Team

Internal teams spend far less time correcting machine output before publishing.

With a reliable localization partner in place, Astravue can expand into new markets with confidence, and add new languages as content grows without re-weighing quality, speed and cost each time.

NexTranslate’s hybrid model gave us the right balance, better quality without the cost overhead. It’s been a practical and scalable solution for our localization needs.

Ramesh Kumar Ramachandran, CEO, Astravue
FAQ

Questions About This Case Study

Still have a question?
What is a hybrid AI and human translation workflow?

It combines machine speed with human judgment. For Astravue, an AI engine produced the first draft, a trained linguist refined it, automated QA checked consistency and terminology, and a senior reviewer approved each file before delivery.

Why was AI-only translation not enough for Astravue?

It was fast and cheap, but tone and terminology were inconsistent on business-critical content, and Astravue’s own team had to correct the output before publishing.

How much did Astravue save compared with traditional vendors?

Astravue reduced its translation cost by 60% compared with traditional localization vendors, while every project was still reviewed by a linguist.

Is the hybrid model suitable for small teams?

Yes. Astravue has 8 employees. Pricing scales with content volume, so a small team can budget for multi-region content without a large-vendor contract.

More From NexTranslate

SERVICE

Translation and Localization

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INDUSTRY

Technology and SaaS

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PRICING

Translation, Proofreading and QA at One Price

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