Going multilingual usually means slow, expensive translation or robotic machine output that reads badly. We do the middle path: AI handles the volume and speed, while glossaries, brand rules and native review keep it accurate and on-brand — across your website, app, help centre and chatbots.
Everything you need to run in multiple languages — translated fast by AI, kept accurate and on-brand by people.
Landing pages, campaigns and SEO content adapted for each market — not just translated, but tuned for how people actually search and buy locally.
UI strings, in-app content and notifications localized with the technical groundwork — locale handling, right-to-left layouts, dates, currencies and pluralization.
Multilingual help centres and chatbots that answer in the customer's language from your own content, so support scales across regions without extra headcount.
Manuals, policies and internal knowledge translated and kept in sync as the source changes, so every team works from the same up-to-date information.
Per-language glossaries and style guides that lock in product names, tone and key terms — so everything stays consistent no matter who or what translates it.
Wired into your CMS or code repo so new and changed content is picked up, translated and reviewed automatically — no more stale, half-translated pages.
India's Digital Personal Data Protection (DPDP) rules were notified in late 2025, with most compliance obligations phasing in through 2026–2027 and penalties running into hundreds of crores. Teams are upgrading internal portals, data flows and AI systems now — adding consent capture, data minimization, role-based access, encryption and audit trails. We build these systems to handle personal data by the rules, so compliance is designed in from the start rather than retrofitted under a deadline.
Talk to us about DPDP-ready systemsAI gives you speed and scale; our process keeps the quality where customer-facing content needs it.
Machine translation handles the first pass across thousands of strings in a fraction of the time and cost of manual translation.
Native reviewers check tone, accuracy and cultural fit on anything customer-facing. You choose the review level per content type.
Glossaries, style guides and translation memory keep terms and tone consistent everywhere — and repeated content is reused.
Translated content, glossaries and translation memory are yours, delivered in usable formats or integrated straight into your systems.
A typical path from a single-language product to a genuinely multilingual one.
The situation we're usually brought into: a product or site that only works in one language, plans to enter new markets, and a backlog of content too large to translate by hand — with a worry that machine translation will sound robotic or off-brand.
Strategy: AI-first translation with human review where it counts
Process: Assess & scope → glossary & style setup → AI translation → native review → integrate → keep in sync
Delivery: Localized content wired into your CMS, app or support platform
Every project is different, so we scope each one properly instead of selling fixed tiers. Here's how it works.
A free conversation about your markets, content, and what success looks like — no pressure, no obligation.
A detailed plan with languages, scope, review level, timeline and transparent pricing — per-project or ongoing, your choice.
We deliver in phases, integrate into your systems, and you own all content, glossaries and translation memory — no lock-in.
Straight answers to what teams ask us about going multilingual
Raw machine translation converts words; localization adapts meaning, tone and cultural nuance for each market. We use AI to do the heavy lifting fast, then apply glossaries, brand style rules and human review so the result reads like it was written locally, not translated.
Yes, for anything customer-facing or high-stakes. AI produces the first pass at scale and speed; native reviewers check accuracy, tone and terminology. You decide the level of review per content type, so you balance speed and cost against risk.
Most major and many long-tail languages, including right-to-left scripts. We localize websites, apps and UI strings, help centres and documentation, marketing content, and multilingual chatbots and support responses.
We build a glossary and style guide per language and feed them into the AI, so product names, tone and key terms stay consistent everywhere. Translation memory means repeated phrases are reused, which keeps quality steady and cost down over time.
Yes. We can wire localization into your content and release workflow so new or changed strings are picked up, translated and reviewed automatically, rather than as a one-off batch that goes stale.
You own all translated content, glossaries and translation memory. We hand over everything in usable formats and, where relevant, integrated directly into your CMS, repo or support platform.
Tell us which languages you're targeting and what you need localized. We'll map out an approach, a timeline, and a realistic budget — no obligation.