A bank-controlled localization platform for banks, payments banks & NBFCs. Paste a URL — a council of AI models plus minimal human review turns your English site into SEO-correct Hindi, Marathi and 10 more Indian languages, inside your own perimeter.
✓ 100% open-source models, on-prem Ollama ✓ No re-platforming ✓ SEO-safe SSR ✓ Voice assistant included ✓ Bank owns the IP
Your branch network already reaches Tier 2/3 and rural India — but the digital journey stops at an English screen. That is conversion, trust and lifetime value left on the table, every single day.
“AI does the volume. Humans own the meaning.” Three open-source models (TranslateGemma 12B · Qwen 3.5 9B · Gemma 4 12B) run on the bank's own Ollama node — thinking disabled for speed, cloud foundation models kept configured but switched off. A reviewer agent compares and scores every candidate, a staging verifier applies its corrections, and a production verifier launches and link-checks the live site. Bank data never leaves the perimeter.
Scroll the journey. This is exactly what the platform does — and exactly what you see happening, agent by agent, on the live pipeline screen.
The operator pastes any fino-offline localhost link — say http://localhost:8001/savings-account — picks one of 11 Indian languages, and chooses the council depth (quick / standard / deep). One click. Nothing else to configure.
The intake agent parses the URL to the exact source page, then extracts every translatable string into a structured content JSON — menus, mega-menu items, headings, body copy, buttons, image alt-text and SEO metadata, each with its DOM location and context.
On first use of a language, the entire fino-offline folder clones to fino-<lang> — every page, image and asset. A dedicated serve.py is generated and the new site launches itself on its own localhost port, instantly browsable.
Three independent agents translate every sampled string on the bank's own Ollama node. Agent A — TranslateGemma 12B, a purpose-built open translation model. Agent B — Qwen 3.5 9B and Agent C — Gemma 4 12B, multilingual LLMs with thinking disabled for speed.
The reviewer compares all three candidates per string and scores each out of 100 across six locked criteria, then back-translates the winner to English through TranslateGemma to verify the meaning survived.
The staging verifier takes each winning translation and applies the reviewer's corrections: locked glossary terms are enforced (with a TranslateGemma repair pass when a term is missing), principles polish runs, and numerals localize to the target script — १,६८,००० stays grouped the Indian way.
Before declaring success, the production agent proves the site actually works: it boots the language server if needed, fetches the live page over HTTP, and audits it like a visitor would.
While you review the council sample, a background thread keeps translating the rest of the page through TranslateGemma — checkpointing every 15 strings and re-publishing the page so coverage climbs while you watch.
An always-on agent fingerprints the English source every 5 minutes (and on a “Check now” button). When marketing edits a page, the agent diffs at string level and shows exactly what changed — old line struck out, new line highlighted.
Every localized site ships with the Fino Assistant: a text chat and a separate voice call with a calm Indian female voice. A customer can simply say “मुझे लोन चाहिए” — the assistant answers in their language and navigates the site to the right page for them.
No SDK, no re-platforming, no months of integration. Feenstack fetches your live page, runs the council, and serves a server-side localized version from your origin — crawlable and SEO-safe. The demo runs on your actual site.
The incumbent ships JavaScript-swapped subdomains — ASCII digits, leaked English terms, weak SEO. Feenstack is structurally better on every axis that matters to a bank.
| Criterion | MoxVeda · Process9 | Feenstack |
|---|---|---|
| Rendering | ✗ Client-side JavaScript text swap | ✓ True server-side rendered HTML |
| SEO / crawlability | ✗ Weak — bots see English or JS | ✓ hreflang + canonical, fully crawlable |
| Deployment | ✗ Full-site scrape upfront | ✓ On-demand, incremental, cache-first |
| Numerals | ✗ ASCII digits (1,68,000) | ✓ Localized १,६८,००० + grouping |
| Translation quality | ✗ Single generic engine | ✓ Council of 5 + scoring agent |
| Terminology | ✗ Drifts; English leaks in | ✓ Locked BFSI glossary + memory |
| Creatives / images | ✗ Left in English | ✓ Vision-model creative localization |
| Data control | ✗ Vendor multi-tenant cloud | ✓ On-prem council, bank-owned |
| Ownership | ✗ Right-to-use only | ✓ Perpetual rights, source-level docs |
| Scope | ✗ Pre-login pages only | ✓ Site + apps + workflows + search |
| Content drift | ✗ Manual re-sync projects | ✓ Change Detector Agent — 5-min scans, human-confirmed targeted retranslation |
| Customer assistance | ✗ None | ✓ In-language voice + text assistant (Sarvam) that navigates the site |
| Transparency | ✗ Black-box vendor process | ✓ Live visual pipeline — every agent, score & correction on screen |
SEO-correct SSR pages with hreflang, canonical & localized URLs — not JS swap.
Android & iOS string-resource pipelines, in-app workflows & statements.
3 open-source models on-prem (TranslateGemma · Qwen 3.5 · Gemma 4) + reviewer, staging & production agents — scored, not a single engine.
Watches the English site every 5 minutes (or on demand). Detects edited sections, asks you first, retranslates only what changed.
Sarvam-powered calm Indian voice on every language site. Answers questions and navigates the site for the customer — in their language.
Pick a new language → full site clones, translates and launches on its own localhost instance automatically.
Approved BFSI terminology enforced on every string — zero drift.
Reuse grows with every approval — cost trends to zero, consistency to 100%.
१,६८,००० with Indian grouping & script-correct digits.
Text baked into banners re-rendered in-language by vision models.
Linguist + compliance review only on the unsure ~10%.
RBAC, multi-eye approval gates, immutable audit, SIEM hooks, VAPT-ready.
A bank-grade localization pipeline built for security, search visibility, and maximum translation fidelity.
Native integration of on-premises open-source models like Qwen2.5 and Gemma2 running locally within your private VPC. Ensure 100% data residency and compliance with RBI guidelines on cloud outsourcing, eliminating dependencies on foreign APIs.
No massive upfront website scrapers. Feenstack extracts and localizes text content on-demand as pages are requested by visitors or search crawlers. Localized pages are cached instantly, achieving sub-10ms server-side delivery.
Server-side rendering (SSR) makes every Hindi/Marathi page fully indexable by search engine bots. By stripping Next.js runtime JavaScript overhead, we prevent React hydration mismatch errors (React Error #418) while maintaining full layout fidelity.
Strictly enforce compliance for regulated banking terms. Our persistent Translation Memory (TM) matches approved lay terms for BFSI terminology, and hard-locks terminology per target language to guarantee zero drift.
Go beyond simple text swaps. Convert currency values, rates, and numbers into local scripts (e.g. Hindi or Marathi Devanagari numerals) and format them with Indian grouping rules (Lakhs/Crores) directly in the markup.
Dynamic image text replacement. Promo banners and ads with text baked into them are processed by vision models to re-render in-language text while maintaining identical fonts, colors, and layout aesthetics.
Launch in Hindi, scale incrementally. Each language is an onboarding, never a re-architecture.
No bank content needs to leave your environment. The council can run fully on-prem.
IndicTrans2 & Bhashini run inside your VPC — data sovereignty by design.
Single-tenant isolation, encryption in transit/at rest, RBAC, immutable audit, SIEM, VAPT-ready.
Perpetual operational rights, source-level documentation — an exit story that doesn't depend on us.
A controlled, auditable platform inside your perimeter — not a SaaS subscription that escalates forever.
Launch Hindi → scale to 11 more. Resell-ready: one platform, many banks. Prices ex-GST.
No — the opposite. Feenstack renders translated text server-side into the HTML with hreflang and canonical tags, so search engines index every localized page. MoxVeda's client-side JavaScript swap is exactly what crawlers miss.
It doesn't have to. IndicTrans2 and Bhashini run on-prem inside your VPC. Cloud voters (Google/GPT-4o) are optional and can be disabled for sensitive content.
Paste a URL and a page localizes in minutes. Full programme: prototype in 2–3 weeks, production in 10–16 weeks — incrementally, page by page, no big-bang scrape.
The council scores every candidate against an approved BFSI glossary; low-confidence and regulated strings route to linguist + compliance review. Approved translations enter memory, so quality and consistency compound.
Yes. The same platform is multi-tenant-capable or deployable per-bank on-prem — built to scale beyond the first mandate.
See Feenstack localize your real website in one click — then let's win this together.