Data collection
Speech, text, image, video and corporate data collected across languages and regions, sourced for your domain and use case.
Data services for AI teams
AI training data services from a network of 30,000+ people
IndecalAI provides AI training data services. One team collects, labels, transcribes, translates and generates text, audio, image and video data, in languages worldwide and with real depth in Indian ones. Krishsinh, your named contact, replies within one business day.
30,000+ people worldwide
Languages worldwide
Deep Indian language coverage
Our own tools
NDA before any data moves
ISO 27001 and SOC 2
IndecalAI
Why IndecalAI
One team for all of your AI training data
A lot of AI teams end up buying data from two or three vendors: one for speech, another for images, a third for labeling. Every hand-off costs time, and your data passes through more hands. We cover the whole job in one place.
| Topic | Several vendors | IndecalAI |
|---|---|---|
| Services | Split across vendors, each with its own contract, format and schedule | Eight services from one team: collection, labeling, transcription, conversational data, evaluation, computer vision, translation and synthetic data |
| People | Whatever each vendor can staff at the time | A network of 30,000+ people around the world |
| Languages | Often strongest in US and European languages | Languages from all over the world, with real depth in Indian languages |
| Tools | A different setup at every step, and your data moves between them | Eight in-house tools we built ourselves, used across the whole pipeline |
| Who answers | A support queue at each company | One named person who owns your project from start to finish |
| Your data | Several NDAs, and several places your data sits | One NDA before any data moves. Access limited to your project team, and your data returned or deleted when you ask |
What we do
Eight AI training data services, one team
Get the data collected or generated, get it labeled, get it checked. Here's the short version of each service, and the full breakdown of every service → if you want more.
Data annotation & labeling
People label your text, image, video and audio data: classification, entity tagging, segmentation, bounding boxes and sentiment.
Transcription
Audio and video turned into text in many languages, with a review pass before anything's delivered.
Conversational AI data
Scripted and spontaneous dialogue for call centers, banking and BFSI, healthcare, retail, and IVR or voice bots, with the accents and dialects of your target markets.
Data & model evaluation
Benchmark tests against accuracy targets, bias and fairness checks, and monitoring once your model ships.
Computer vision
Object detection, segmentation and recognition labels for automotive, retail, healthcare and other industries.
Translation & localization
Human-verified translation across widely spoken and low-resource languages, with deep coverage of Indian ones, plus localization of prompts, UI copy and training data.
Synthetic data
Generated text, speech, image and video data for when real data is scarce, sensitive or slow to collect, reviewed by people for realism and quality before delivery.
Pick a service to see what's included
Every service runs through the same team and the same named contact. Choose one to see what it covers, the tools behind it and the kind of request we get.
Data collection
We source and collect new data for your domain, language and use case, across speech, text, image, video and corporate sources.
What's included
- Speech, text, image and video collection
- Multimodal and corporate or enterprise data
- Curated for your domain, your languages and your use case
- Gathered through our network of 30,000+ people
Example request
"We need read and spontaneous speech from English and Hindi speakers in several regions, with a transcript for every clip."
Data types
- Speech
- Text
- Image
- Video
- Corporate
Tools behind it
- Prompt Audio
- Conversation Audio
- Image Collection
- Video Collection
- Media Collection
Annotation and labeling
People label your text, image, video and audio, and the labels get reviewed before they reach you.
What's included
- Classification and sentiment labels
- Entity tagging in text
- Bounding boxes and segmentation for image and video
- Human-in-the-loop review
Example request
"Label our support tickets by topic and sentiment, and tag product names and order numbers."
Data types
- Text
- Image
- Video
- Audio
Tools behind it
- Image Annotation
Transcription
Audio and video turned into text in many languages, with a person checking it before delivery.
What's included
- Audio and video transcription in many languages
- A quality review pass built into every job
- Text ready to train on, not raw speech-to-text output
Example request
"Transcribe our customer calls in English and Tamil so we can train our speech model."
Data types
- Audio
- Video
Tools behind it
- Transcription
Conversational AI data
Scripted and spontaneous dialogue for the job your bot or assistant has to do.
What's included
- Call center and customer support dialogue
- Banking and financial services (BFSI) and healthcare conversations
- Retail and e-commerce support
- IVR and voice bot data, with the accents and dialects of your markets
Example request
"We need banking support calls in English and Hindi for the voice bot we are building."
Data types
- Audio
- Text
Tools behind it
- Conversation Audio
- Prompt Audio
Data and model evaluation
We test your model's outputs against data, before it launches and after. We don't train your model, we check it.
What's included
- Benchmark tests against the accuracy targets you set
- Bias and fairness checks
- Monitoring after your model ships
- The data comes back with what we found
Example request
"Test our assistant's answers in English and Hindi against our targets, and show us where it treats some users unfairly."
Data types
- Your model's outputs
Computer vision
Labeled images and video for models that have to detect, segment and recognize what they see.
What's included
- Object detection labels
- Segmentation
- Recognition
- Work for automotive, retail, healthcare and other industries
Example request
"Label road scenes for our driver-assistance model: vehicles, people, signs and lanes."
Data types
- Image
- Video
Tools behind it
- Image Annotation
- Image Collection
- Video Collection
Translation and localization
Translation checked by people, for widely spoken languages and low-resource ones alike.
What's included
- Human-verified translation in languages worldwide
- Low-resource languages as well as major ones
- Deep coverage of Indian languages
- Localized prompts, UI copy and training data for each market
Example request
"Localize our chatbot's prompts from English into Spanish, French and Hindi."
Data types
- Text
Tools behind it
- Translation
Synthetic data
Generated data for the cases where real data is scarce, sensitive or slow to collect.
What's included
- Synthetic text, speech, image and video
- Useful in privacy-sensitive fields such as healthcare and banking
- Fills rare cases and coverage gaps
- People review it for realism and quality
Example request
"We can't share real patient records. Can you generate realistic clinical notes we can train on?"
Data types
- Text
- Speech
- Image
- Video
Industries and use cases
What our data goes into
Your team builds and trains the model. We work across automotive, retail, healthcare, and banking and BFSI. Pick an industry to see where our data fits, and the service behind each use.
Speech recognition
Recorded speech in the languages and accents your users actually speak, transcribed and checked.
Uses data collection and transcription
Voice bots and IVR
Scripted and natural call dialogue for banking, retail, healthcare and support lines.
Chat and support assistants
Dialogue labeled for topic, entities and sentiment, so your assistant learns what people mean.
Uses conversational AI data and annotation
Driver assistance
Road images and video labeled with boxes and segmentation, for detection and recognition.
Uses computer vision
Retail search and shelf checks
Product photos and shelf images labeled so your model can find and recognize items.
Uses computer vision and annotation
Launching in new markets
Prompts, UI copy and training data translated and localized by people who know the market.
Checking a model before and after launch
Benchmarks against your targets, bias checks, and monitoring once it's live.
Training where real data is off-limits
Generated data for health and finance cases you can't collect freely, reviewed by people.
Uses synthetic data
Our own tools
We build and run the tools ourselves
We've already built these tools, and each part of the pipeline runs on them, so we don't rent a generic tool for one job.
Prompt Audio
Where people record scripted audio prompts.
Conversation Audio
For capturing natural dialogue and call data.
Transcription
Turns audio and video into reviewed text.
Translation
Handles our multilingual translation workflows.
Image Annotation
Where images get labeled and tagged.
Image Collection
How we source and capture image datasets.
Video Collection
The same, for video.
Media Collection
For broader mixed-media sourcing.
That's how one team can cover audio, image and video work without your data passing between vendors. The tools sit behind our data collection, conversational AI data, annotation and labeling, transcription and translation services.
Languages
Multilingual data: languages worldwide, and real depth in Indian ones
We work in languages from all over the world, and our network goes deep on Indian languages, well past Hindi and English.
Collection, transcription and translation all draw on the same 30,000+ person network. Tell us the language, plus the accent or dialect you need, and we'll match it with the right people.
Need Hindi speech now? License our Hindi speech dataset, roughly 1,000 hours already recorded, or browse all OTS speech datasets.
Read more about our Indian language data work, or see the translation and localization service.
One English prompt, shown in ten languages
English · sourceHow can I help you today?
Hindiआज मैं आपकी क्या मदद कर सकता हूँ?
Tamilஇன்று நான் உங்களுக்கு எப்படி உதவ முடியும்?
Spanish¿Cómo puedo ayudarle hoy?
FrenchComment puis-je vous aider aujourd'hui ?
GermanWie kann ich Ihnen heute helfen?
PortugueseComo posso ajudar você hoje?
Arabicكيف يمكنني مساعدتك اليوم؟
Japanese本日はどのようなご用件でしょうか？
Mandarin今天我能为您做些什么？
IndonesianAda yang bisa saya bantu hari ini?
Security
What happens to your data
Here's how we handle your data, in plain terms. There's more on how we work with enterprise teams on the About page, and the FAQ answers the usual questions about client data.
NDA first
We sign an NDA before any data changes hands, on every engagement.
One purpose
Your data is used for the scope we agreed, and only that. It isn't resold, and it isn't reused on another client's project.
Yours to take back
When the engagement ends, ask us to return it or delete it, and we will.
A small circle
Only the people working on your project can see its data, not the whole team.
A person to ask
One named contact owns your engagement, so a security question goes to someone who can answer it.
Certified and audited
We're ISO 27001 certified, our SOC 2 report is available under NDA, and we sign GDPR data processing agreements and HIPAA business associate agreements on request.
How we work
How a project runs
1
We agree the scope
You tell us the domains, languages and formats your model needs. We settle the scope, then source or collect the data to match.
2
People label it
Trained annotators label, transcribe and structure the data, with review built into the workflow.
3
We check it and hand it over
We measure accuracy and fairness on the data or on your model's outputs, then deliver the data along with what we found.
What you get back
One record, after it's been checked
Every item gets a second pass before it ships. This is what one looks like once that pass is done.
Sample record
✓ Reviewed
- Source
- Support call, English
- Transcript
- "Can I get a refund on order 4482? It hasn't shipped yet."
- Tags
- order number refund request frustrated tone
- Review
- Checked a second time, against the current guideline.
- Status
- Delivered with the review notes attached.
A made-up example to show the shape of a delivery. Not a real client record.
Guides and blog
Plain-language reading for AI data teams
Short reads on the decisions that shape a data project. New posts go up on the blog, and the full list of guides has more.
How many hours of speech data do you need to fine-tune Whisper?
What the Whisper paper shows about data and error rates, rough starting points by goal, and how to size a speech dataset without guessing.
Read the post →Off-the-shelf or custom speech data: how to choose
When to license speech data that already exists and when to have it recorded for you, with five questions that decide it.
Read the post →Synthetic data vs real data: when to use each
When real data is enough, when generated data helps, and how to test a model trained on both.
Read the guide →How to choose a data annotation vendor: the questions worth asking
Quality, languages, data handling and who you'll talk to: what to ask a vendor, and what a good answer sounds like.
Read the guide →In brief
IndecalAI at a glance
IndecalAI is a data services company for machine learning and generative AI teams. We collect, generate, label, transcribe, translate and evaluate AI training data, with a network of 30,000+ people and our own in-house tools.
See all the facts in one place
- Who it's for
- Machine learning and generative AI teams that train or evaluate their own models.
- Services
- Eight: data collection, annotation and labeling, transcription, conversational AI data, data and model evaluation, computer vision, translation and localization, and synthetic data.
- Data types
- Text, audio, image, video, synthetic and corporate data.
- People
- A network of 30,000+ people worldwide.
- Based in
- Ahmedabad, India, since 2021.
- Track record
- 150+ projects delivered directly for end clients. The latest was an image collection: 16,000 images from 2,400 participants.
- Languages
- Languages from all over the world, with deep coverage of Indian languages, well past Hindi and English.
- Tools
- Eight in-house tools, already built: Prompt Audio, Conversation Audio, Transcription, Translation, Image Annotation, Image Collection, Video Collection and Media Collection. See the tools.
- Industries
- Including automotive, retail, healthcare, and banking and BFSI.
- Data handling
- An NDA before any data changes hands. Data is used only for the agreed scope, never resold or reused, and returned or deleted on request.
- Models
- We don't train them. We provide the data, and your team trains its own model with it.
- Contact
- Krishsinh, at contact@indecalai.com, or through the contact page. Krishsinh replies within one business day.
- First step
- A small free sample before you commit. Send a short brief.
FAQ
Questions about IndecalAI
Short answers to what teams ask before they start. The services page has a few more.
What is IndecalAI?
IndecalAI is a data services company for machine learning and generative AI teams. We collect, generate, label, transcribe, translate and evaluate AI training data, working with a network of 30,000+ people around the world and with tools we've built ourselves.
Is IndecalAI the same as Indecal AI, and how do I tell it apart from similar names?
Yes. IndecalAI is one word, and plenty of people type it as Indecal AI or with different capital letters, such as IndeCalAI. All of those mean this company: a data services business in Ahmedabad, India, that supplies AI training data. If you searched only for Indecal, you may have landed on unrelated businesses with a similar name, such as companies that make decals. We are not connected to them.
Who are IndecalAI's services for?
Machine learning and generative AI teams that train or evaluate their own models and need data for them, including teams inside larger enterprises. We work in fields such as automotive, retail, healthcare and banking.
Which types of AI training data does IndecalAI provide?
Text, audio, image and video data, plus corporate data and synthetic data. We can collect it, generate it where real data is hard to get, label it, transcribe it and translate it, so one team can cover more than one data type.
Does IndecalAI work in Indian languages?
Yes, and in depth. Our network covers Indian languages well past Hindi and English, and we work in languages from all over the world besides. Tell us the language and the accent or dialect you need, and we'll match it with the right people. There's more on our Indian language data page.
Can I get synthetic data from IndecalAI?
Yes. We generate synthetic text, speech, image and video data for cases where real data is scarce, sensitive or slow to collect, and people review it for realism and quality before it reaches you. Our guide to synthetic data vs real data explains when each one fits.
Does IndecalAI train models?
No. We provide the data and you train your own model with it. We do offer evaluation, which means checking your model's outputs against data, measuring accuracy and running bias and fairness checks.
How does an IndecalAI project start?
You tell us what your model needs: the data type, the languages and a rough volume. Krishsinh writes back within one business day and we settle the scope. Every project starts with an NDA before any data changes hands. After that, we source or collect the data, people label it, and we check it before we hand it over.
How does IndecalAI handle client data?
Every project starts with an NDA before we touch your data. We only use it for the scope we agreed on, and it isn't resold or reused on another client's project. It's returned or deleted when you ask. Only the people working on your project can see it. We're ISO 27001 certified, our SOC 2 report is available under NDA, and we sign GDPR data processing agreements and HIPAA business associate agreements on request.
Can I try IndecalAI before committing to a project?
Yes. Send a short brief with the data type, the languages and a rough volume, and we'll do a small sample free before you commit. Krishsinh replies within one business day.
Where is IndecalAI based?
In Ahmedabad, India. We started in 2021 and have delivered 150+ projects directly for end clients. We work in languages from all over the world, through a network of 30,000+ people.
Does IndecalAI work with teams in the United States?
Yes. We take calls in US Eastern mornings, which is evening in India, and Krishsinh replies to email within one business day. We're ISO 27001 certified, our SOC 2 report is available under NDA, and we sign GDPR data processing agreements and HIPAA business associate agreements on request.
Tell us what your model needs.
Send a short brief and we'll do a small sample free, before you commit.
- Krishsinh replies within one business day.
- We sign an NDA before any data changes hands.
- We do your free sample, then agree the full scope.
This opens your email app with the brief filled in. Nothing is sent until you press send. You can also use the contact page.