AI-assisted work
AI can support early production steps, but qualified people keep review and final sign-off.
AI transparency
AI in the workflow. A human on every final output.
Procurement asks language vendors a direct question: how do you use AI, and who checks it We use AI to assist the work. A person reviews and signs off before anything reaches you, and the policy bends to your compliance requirements.
ISO 9001:2015, 27001:2022, and 17100:2015 certified. Human review is built in, not bolted on.
110,000+
verified language specialists
300+
languages across active service lines
4,500+
dialects and regional variants
110+
rare and indigenous language pairs
1,000+
brands served since 2015
Proof scale
300+ languages 1,000+ brands served since 2015 across AI data, translation, localization, media, and interpretation.Work view
What buyers need to see before approval.
These visuals show the work context behind the offer, not generic decoration.
Policy evidence
AI use, escalation, and human accountability are documented in terms procurement can inspect.
Our principle
A person is always in the loop on final output.
AI can draft, sort, and speed up the early stages. It does not decide what ships. A qualified reviewer owns the final call on accuracy, meaning, tone, and cultural fit, the same second-review principle ISO 17100 requires, whether or not AI touched the file.
Client-configurable AI policy
You set the policy. We deliver to it.
A regulated client and an AI lab building training data have different rules. The policy is yours to set, project by project.
If AI is prohibited → fully human
When your contract, regulator, or internal policy does not permit machine translation or generative AI in the production chain, we deliver a fully human workflow, enforced through resourcing and process, and stated in writing.
If AI is permitted → AI-assisted, then human-reviewed
When you allow it, AI assists the early and repetitive stages. Every AI-assisted output is then reviewed by a qualified person before it reaches you: the speed of assisted work without giving up human judgment.
Assistance vs judgment
A clear line between what AI does and what people decide.
Where AI assists
- Drafting first-pass output for a human to review
- Pre-processing: formatting, segmentation, file preparation
- Generating candidate options a reviewer accepts, edits, or rejects
- Speeding up repetitive, high-volume steps
- Flagging items that may need a closer human look
Where people own the decision
- Reviewing every AI-assisted output before delivery
- Accepting, correcting, or rejecting what the AI produced
- Final sign-off on accuracy, meaning, terminology, and tone
- Cultural and contextual judgment for the audience
- The decision on what actually ships to you
AI data handling
Using AI does not change how your data is protected.
The same controls that govern any MoniSa project apply to AI-assisted work.
Access is scoped and revoked
Role-based access provisioned per project. People see only the tasks or batches they are working on, and access is removed when the engagement closes.
Confidentiality is contractual
Everyone who touches your work signs a binding non-disclosure agreement before they receive any access.
No unauthorized reuse
Your content is used to deliver your project. It is not repurposed for unrelated work.
Controlled environments for sensitive material
For high-sensitivity projects, we run controlled-access environments that limit copying and local retention of client data.
Why it matters for procurement
Built for the questions your reviewers will ask.
A documented, auditable position
You get a clear, written record of how AI is used and where human review sits, the answer an approved-supplier review or a security questionnaire asks for.
We adapt to your framework
As AI rules tighten across regions and industries, our policy is built to map to your requirements rather than impose ours. We align to the standard you are held to.
Human accountability stays intact
A qualified person reviews and signs off on final output. For regulated, safety-sensitive, or brand-sensitive work, that human checkpoint is the control your auditors want to see.
More on how we operate
The rest of the picture.
Trust Center
Certifications, security, and data handling.
How we work
The engagement path from brief to scale.
About MoniSa
The company, the Udaipur operating base, and the team behind the work.
Have a compliance requirement?
Send us the rule you work under.
Prohibited AI, permitted-with-review, or something in between. We set the policy to match before any work starts.
Start a project briefCapability at a glance
The answers most briefs open by asking for.
Buyers rarely start with who we are. They start with a list of fields to fill. Here are ours, so the first email can be about the work instead.
- Languages and locales
- 300+ languages and 4,500+ dialects, quoted per locale rather than per language — because the dialect decides whether a dataset is usable, whether a market accepts a release, and which specialist the work goes to.
- Specialist network
- 110,000+ verified language specialists — linguists, annotators, and reviewers — plus voice talent and subtitlers, matched to the language, domain and task before assignment.
- Capacity and mobilisation
- Named availability confirmed per pair before scoping. Coverage is reported as staffed today or needing a recruitment window, in writing, before a launch date or release window is agreed.
- Sourcing constraints
- Specialists can be sourced against geographic, residency, locale and demographic requirements — including native-only, in-country, and speaker-diversity quotas where a data programme demands them.
- Deliverables and specs
- Work is delivered to the receiving specification: structured formats and schemas for data and annotation work, and timed-text, audio and platform conformance for media — subtitle reading speed, line limits, cue timing, channel and sample-rate requirements included.
- Comparable work
- 62 documented case studies stating the scope, the constraint that made it difficult, and the measured result — across AI data programmes, partner overflow, and media releases. 2,000+ AI projects delivered and 1,000+ brands served since 2015.
- Certifications
- ISO 9001:2015 quality management, ISO 27001:2022 information security, and ISO 17100 translation services — scoped to translation specifically, and stated that way rather than implied across every line.
- Commercial basis
- Quoted in the unit the work is measured in — per word, per audio hour, per approved hour, per finished minute, per batch, per item — with what the unit includes stated alongside it, whether the quote is for you or for a client you quote onward.
Need this against your own template? Convert your scope between units and check the deadline, then send the brief with your language list, content type, volume and deadline, and the acceptance criteria you will judge the output against — those four decide feasibility, and the reply addresses them directly.