Regulated handling
Common buyer concerns are answered with operating context instead of vague assurances.
FAQ
Straight answers on what we do, how we secure data, how we use AI, how engagements run, and the languages we cover.
Triple ISO certified, across 300+ languages and 4,500+ dialects.
Proof scale
300+ languages 1000+ projects since 2015 across AI data, translation, localization, media, and interpretation.Work view
These visuals show the work context behind the offer, not generic decoration.
Common buyer concerns are answered with operating context instead of vague assurances.
Questions about quality, language coverage, and engagement model stay linked to real buying decisions.
About MoniSa
MoniSa Enterprise is an ISO-certified language service provider and AI data services company headquartered in Udaipur, India, founded in 2015. We deliver translation and localization, AI training data, multimedia (subtitling, dubbing, voiceover), and interpretation across 300+ languages and 4,500+ dialects.
MoniSa runs two connected lines of work: language services (translation, localization, subtitling, dubbing, voiceover, interpretation) and AI data services (data collection, annotation, training data, and evaluation). Both are built on human linguists working under ISO-certified quality and security processes.
MoniSa serves three kinds of buyers: enterprise AI and machine-learning teams that need multilingual training and evaluation data, language service providers that need white-label rare-language capacity, and media and OTT platforms that need subtitling, dubbing, and content localization.
MoniSa Enterprise is headquartered in Udaipur, Rajasthan, India. The company has operated since 2015 and works with clients globally.
Yes. MoniSa is certified to three international standards: ISO 9001:2015 (quality management), ISO 27001:2022 (information security), and ISO 17100:2015 (translation services). Each is audited by an accredited third party, not self-declared.
Services and capabilities
MoniSa offers four service lines: AI data services (data collection, annotation, training-data creation, and evaluation), translation and localization, multimedia (subtitling, captioning, dubbing, voiceover), and interpretation (on-site, remote, simultaneous, and consecutive).
MoniSa builds and curates multilingual datasets for AI and machine-learning models: speech, text, image, video, and audio data collection; annotation and labeling; prompt creation and evaluation; and human review of AI outputs for accuracy, bias, and cultural fit. Work spans a wide range of languages, including rare ones.
Yes. MoniSa handles human translation and localization across legal, medical, technical, and marketing domains, including software, app, website, game, and e-learning localization, certified translation, and machine-translation post-editing. Every file is reviewed by a second qualified linguist under the ISO 17100 standard.
MoniSa delivers subtitling and captioning (including SDH), dubbing, voiceover, audio description, and time-coded transcription. This supports media and OTT catalog localization, regional launches, and content refresh across many languages.
Yes. Rare and indigenous language work is a core focus. MoniSa sources qualified linguists for language pairs that most vendors cannot staff, including languages with very limited specialist availability worldwide, and supports them with the same review and quality process as high-volume languages.
Security and data handling
MoniSa data handling follows ISO 27001:2022 controls and is applied per project. Access is role-based and scoped to the task, and high-sensitivity work runs in controlled-access environments that limit copying and local retention of client data.
Yes. Every contributor signs a binding non-disclosure agreement before receiving any project access. The confidentiality obligation covers everyone who touches the work, including reviewers and linguists.
Access follows the project. It is provisioned per engagement, scoped so reviewers see only their assigned batches, and removed when the engagement closes. There is no standing access to client data outside an active project.
Deliverables are produced for the client, under confidentiality and assignment terms agreed before any work begins. The work stays the client’s.
Yes. Where required, MoniSa delivers fully under the client-facing brand with no attribution. This lets language service providers and agencies add rare-language and surge capacity under their own name.
AI and quality
MoniSa uses AI to assist the early and repetitive stages of work, such as drafting, formatting, and segmentation. AI does not decide what ships. A qualified person reviews and signs off on the final output for accuracy, meaning, terminology, tone, and cultural fit before anything reaches the client.
Yes. MoniSa runs a client-configurable AI policy set project by project. If your contract, regulator, or internal policy prohibits machine translation or generative AI, MoniSa delivers a fully human workflow, enforced through resourcing and process and stated in writing. If you permit AI, it assists the work and a human reviews the result.
Yes. A qualified reviewer owns the final call on every deliverable, whether or not AI touched the file. This is the same second-review principle ISO 17100 requires, applied to both language and AI-assisted work.
Every deliverable passes independent review before it reaches the client, aligned with ISO 9001:2015 and ISO 17100:2015. Work moves through separate review stages handled by different people, quality is measured against acceptance criteria agreed up front, and issues found in review are corrected and fed back before delivery. No deliverable is signed off by its own author alone.
No. Your content is used to deliver your project and is not repurposed for unrelated work. The same access, confidentiality, and data-handling controls apply to AI-assisted work as to any other project.
Engagement and delivery
Send a brief with the languages, the volume, the domain, and the deadline. A short call or a one-page brief is enough to start. MoniSa confirms feasibility, maps the work to a timeline, and flags anything rare or high-risk before any commitment.
Four things: the languages or language pairs you need, the approximate volume, the subject domain, and the deadline. Rough is fine at the start. Security and compliance requirements can be shared up front so MoniSa can map them to its controls before work begins.
Yes. MoniSa runs a pilot batch first. A small first batch is produced and reviewed in full to lock terminology, match your style, and resolve edge cases. You approve the pilot before full production opens.
Work is delivered in rolling batches aligned to your cadence: daily, weekly, or per milestone. You review and use each batch as it ships rather than waiting on a single delivery at the end, and each batch is accepted on its own before the next begins.
A dedicated project manager runs your engagement day to day, covering task flow, resourcing, quality, and communication. You work with one person who knows your account, and the same team carries your terminology and decisions forward as the work scales.
Pricing is scoped to each project based on the languages, volume, domain, and turnaround you need. Send a brief and MoniSa returns feasibility and a defined scope, with a pilot batch available to prove the work before you commit to full volume.
Languages and coverage
MoniSa covers 300+ languages and 4,500+ dialects across its service lines, spanning translation, localization, multimedia, interpretation, and AI data work.
A language such as Arabic or Swahili can have many regional dialects and variants, such as Egyptian or Gulf Arabic, or Kenyan or Tanzanian Swahili. MoniSa covers 300+ languages and 4,500+ dialects, so work can be matched to the specific regional variant your audience uses.
MoniSa draws on a global network of vetted language specialists, screened and tested before they take on work. For each project, linguists are matched to the language pair, the subject domain, and the required regional variant, and every output is checked by a second qualified reviewer.
Yes. Languages can be added to a running engagement on the same team and the same standards, without a restart. This suits programs that begin in a few languages and expand into new regional markets over time.