Our AI data services take a project from raw material to a checked dataset: collection, labeling, transcription, conversational data, evaluation, computer vision, translation and synthetic data. Use one, or hand us the whole pipeline. You get one named contact who replies within one business day.
00:01.2 S1 I'd like to check my account balance.
intent: check balance topic: banking
HI मैं अपने खाते का बैलेंस देखना चाहता हूँ।
your voice bot's reply on target
Pick where your project is starting and the services that fit will light up. Use one on its own or several in a row. They all run through the same team.
All eight services are below. Pick a starting point above to see which ones fit.
Start with data collection. For dialogue, conversational AI data. If the real thing is too rare or too sensitive to collect, synthetic data.
Annotation and labeling for text, image, video and audio, computer vision for detection and segmentation, and transcription if it's recorded speech.
Translation and localization for prompts, UI copy and datasets, plus collection and transcription in the languages you're adding.
Data and model evaluation: benchmarks against your targets, bias and fairness checks, and monitoring once your model is live.
Synthetic data, reviewed by people, or collection aimed at the exact language, accent or setting you're missing.
Most projects start here. You tell us what your model has to learn from, and people in our network collect it in our own tools, matched to your domain, languages and regions.
Runs on our own tools: Prompt Audio, Conversation Audio, Image Collection, Video Collection and Media Collection.
See the full data collection service →Free sample of data collection
People label your text, image, video and audio data, working from instructions we settle with you before labeling starts. Every batch gets a review pass before it comes back to you.
Image work runs on our own Image Annotation tool.
See the full data annotation service →Free sample of data annotation and labeling
We turn audio and video into text your team can train on, in many languages and accents. A review pass runs before delivery, so it isn't raw speech-to-text output.
Built on our own Transcription tool.
See the full transcription service →Free sample of transcription
Scripted and spontaneous dialogue, collected for the product you're building, with the accents and dialects of the markets it will serve.
Captured with our own Conversation Audio tool.
See the full conversational AI data service →Free sample of conversational AI data
We check datasets, and your model's outputs, against targets you set, before launch and after. We don't train your model. We test it, group by group and language by language.
See the full evaluation service →Free sample of data and model evaluation
Labels for images and video, so your model can detect, segment and recognize what it sees. We work across automotive, retail, healthcare and other industries.
Labeled in our own Image Annotation tool, with Image Collection and Video Collection for new footage.
See the full computer vision service →Free sample of computer vision
Human-verified translation and localization, so your prompts, interface text and datasets work in the languages and markets you're aiming at.
Runs on our own Translation tool.
See the full translation and localization service →Free sample of translation and localization
Data we generate for cases where real data is too scarce, too sensitive or too slow to collect. People review it for realism and quality before it reaches you.
See the full synthetic data service →Free sample of synthetic data
Each data type runs through several services. These pages show a sample, what a good dataset specifies, and the services behind it.
Read and spontaneous speech, calls and accents, transcribed and labeled.
Photos captured to a brief, labeled with classes, boxes and outlines.
Footage filmed to a brief, labeled and tracked frame by frame.
Messages written by people, labeled and translated.
What each service works with, where it sits in a project, and when it's the one to reach for. Most projects move from getting the data, to preparing it, to checking it.
| Service | Stage | Works with | Use it when |
|---|---|---|---|
| Data collection | Get the data | Text Audio Image Video | Existing datasets don't cover your language, domain or recording conditions |
| Data annotation and labeling | Prepare it | Text Audio Image Video | You have the data, and your model needs it labeled |
| Transcription | Prepare it | Audio Video into text | You have recordings and need text your model can learn from |
| Conversational AI data | Get the data | Audio Text | You're building a voice bot, an IVR or a support assistant |
| Data and model evaluation | Check it | Your model's outputs, and the data itself | You need to know how your model does, before launch and after |
| Computer vision | Prepare it | Image Video | Your model has to find, outline or recognize things in images or video |
| Translation and localization | Prepare it | Text | You're taking prompts, UI copy or datasets into new languages |
| Synthetic data | Get the data | Text Audio Image Video | Real data is too scarce, too sensitive or too slow to collect |
Short answers about the services. The home page FAQ covers the company itself: where we're based, who we work with and how a project starts.
Start from what you have. If you need data, look at data collection, conversational AI data or synthetic data. If you have data that isn't ready to train on, annotation, transcription, computer vision or translation get it there. If you have a model, evaluation checks its outputs. Still not sure? Describe the problem and Krishsinh will point you to the right service.
Yes, and that's where one team helps most. Collected data can go straight on to labeling, transcription or translation, and then to evaluation, without being handed to another vendor. You keep the same named contact from start to finish.
Yes. Send a short brief with the service, the languages and a rough volume, and we'll do a small sample free before you commit. Krishsinh replies within one business day.
30,000+ people worldwide. It's why we can start collection or annotation quickly, whatever the data type, language or region.
Languages from all over the world, with real depth in Indian languages, well past Hindi and English. Tell us the language, and the accent or dialect if it matters, and we'll match you with the right people.
Text, audio, image, video and corporate data, plus synthetic text, speech, image and video. Collection, labeling, transcription, translation and evaluation all run in-house, so you don't need one vendor for audio and another for images.
No. We hand over the data and you train your own model with it. What we do offer is evaluation: checking your model's outputs against data, measuring accuracy, and running bias and fairness checks.
Every project starts with an NDA, before we touch your data. We use it only for the scope we agreed, nothing is resold or reused, and we delete or return it when you ask. Only the people working on your project can see it.
One named person owns your project from scoping to delivery, and Krishsinh is who you'll hear from first, within one business day. Questions about quality, timelines or security go to them, not to a support queue.
Yes. We've already built our own data collection tools and we run them ourselves. Prompt Audio records audio prompts and Conversation Audio captures dialogue and call data. Image Collection, Video Collection and Media Collection source image, video and mixed-media datasets, and Transcription, Translation and Image Annotation cover the rest. That's why we don't rent a generic tool for each job.
Yes. We generate synthetic text, speech, image and video data for teams that can't collect enough real data, or can't collect it freely because of privacy rules. People review what we generate for realism and quality before it reaches you.
Pick the services you're thinking about, or none, and send a short brief. We'll do a small sample free before you commit.
This opens your email app with the brief filled in. Nothing is sent until you press send. You can also use the contact page.