Vendor comparison
A Scale AI alternative for Indian language AI data
Annotation and model-evaluation platform with a strong vision and LLM focus. This page sets out where Scale AI is the right call, where a specialist Indian collection partner is, and the questions to put to both.
- Compared on
- Indian speech & language data
- Their strength
- LLM alignment and vision labelling rather than original speech collection.
- Our focus
- 14 Indian languages, native QA
- Contracting
- Direct, single delivery owner
How Scale AI is built
An engineering-led annotation and evaluation platform, strongest in vision, autonomy and LLM alignment work.
Not structured around field recruitment or studio capture at all. Speech work is handled as annotation of existing audio rather than as original collection.
Contracting with Scale AI
Enterprise contracts oriented toward ongoing labelling throughput and model-evaluation programmes rather than one-off corpus builds.
Where Scale AI is the better choice
Engineering-grade tooling, RLHF and evaluation workflows.
Your problem is RLHF, model evaluation or labelling audio you already own. For those, they are a stronger fit than we are.
Where a specialist India partner fits better
Not built around field recruitment of Indian speakers or studio speech capture.
The question rarely comes up as a switch — teams use them for alignment and labelling and need a separate partner the moment original Indian speech has to be recorded.
- Dialect quotas enforced at recruitment, not measured after delivery
- Native reviewers per language rather than a generic annotation crowd
- Studio, quiet-room and field capture in the same programme, in the cities where the dialect actually lives
- One delivery owner with the specification in hand, not an account layer above a subcontractor
Side by side
| Dimension | Scale AI | aidataservices.in |
|---|---|---|
| Primary model | Annotation and model-evaluation platform with a strong vision and LLM focus | Specialist Indian speech and language data collection |
| Indian language depth | Broad coverage, variable per-language depth | 14 Indian languages plus Indian English, dialect-level quotas |
| Speaker recruitment | Platform or partner sourced | Local recruiters in each collection city |
| QA | Largely statistical sampling | Second-pass native review with published agreement statistics |
| Custom cohorts | Limited by platform supply | Specified per project, enforced at intake |
| Licensing | Varies by contract | Perpetual licence, full IP transfer on delivery |
Questions worth asking any vendor
- Who physically records the audio, and are they employed by you or subcontracted?
- How is a dialect quota enforced during recruitment rather than reported afterwards?
- What is the second-pass review rate, and what inter-annotator agreement do you publish?
- What happens commercially when a batch fails acceptance?
- What consent language did participants actually sign, and can it be audited?
- Who owns the data and the model trained on it, in writing?
How to run a fair evaluation
Run the same 10-hour pilot specification with two vendors and compare on measurable things: quota compliance, transcription accuracy against a blind re-transcription of the same 30 minutes, metadata completeness and how failures were handled.
A pilot answers in three weeks what a procurement questionnaire never will.
We are happy to be one of two vendors in a paid pilot. It is the most honest comparison available, and it costs less than a mis-specified production run.
Frequently asked
Is this a Scale AI replacement?
Not universally. For llm alignment and vision labelling rather than original speech collection., they are a reasonable choice. For Indian-language speech corpora with dialect quotas and native review, a specialist partner is usually faster and more accurate per rupee.
Can you work alongside our existing vendor?
Yes. Many buyers keep a global vendor for breadth and use us for Indian-language depth, delivering into the same schema so both feeds merge cleanly.
How quickly can you start?
A pilot specification can be signed and in recruitment within a week; first recorded batches usually land in weeks two to three.
What about pricing versus a global platform?
Per-unit rates are typically comparable or lower, and total cost is usually lower because far less material is rejected or re-collected.
Related pages
Compare us against Scale AI on a real spec
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