
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.
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.
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.
Two Bad Options and a Growing Workload
Inconsistent AI Output
AI-only translation drifted in tone and terminology on business-critical content, so nothing could ship without a check.
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.
Rework Landing on the Core Team
Astravue’s own people spent significant time correcting machine output before publishing, time taken away from the product.
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.”
- 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.”
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.
AI Draft
A fast first-pass translation tuned to Astravue’s domain and terminology.
Human Refinement
A trained linguist edits for accuracy, tone, terminology and fit for the target locale.
AI Quality Assurance
Automated checks after editing catch inconsistencies, formatting errors and terminology drift.
Final Human Approval
A senior reviewer signs off on every file before it is delivered.
How the Hybrid Model Compared
| Factor | AI-only translation | Traditional vendor | NexTranslate hybrid |
|---|---|---|---|
| Quality | Inconsistent tone and terminology | High | Linguist-reviewed on every project |
| Cost at Astravue’s volume | Low | Priced out of reach | 60% lower than traditional vendors |
| Speed for multi-region rollouts | Fast | Slower | 3 days faster |
| Internal rework | Significant | Not the bottleneck | 65% fewer rework cycles |
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.
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.
