Customer service bots
Intent data mined from real support conversations.
NLP & Gen AI
Chatbot Training
Intent libraries, dialogue data, and response quality evaluation that make conversational AI actually helpful.
Overview
Conversational AI fails in the gap between how designers imagine users talk and how they actually do. Vidyut Data builds the data that closes it: intent and slot annotation from real utterances, authored dialogue flows and paraphrase variants, and human evaluation of bot responses for correctness, tone, and task completion — across languages and channels.
What's included
- ✓Intent classification and slot/entity annotation
- ✓Utterance collection and paraphrase generation
- ✓Multi-turn dialogue authoring and annotation
- ✓Bot response evaluation: accuracy, tone, resolution
- ✓Escalation and fallback case labeling
- ✓Multilingual conversational data with native speakers
Use cases
Voice assistants
Spoken utterance datasets across accents and phrasings.
Banking & fintech
Compliant conversational flows for sensitive workflows.
Bot QA programs
Ongoing human scoring of production conversations.
How we work
1
Scope & pilot
We review your data, define the labeling guide together, and run a paid pilot batch so you can judge quality before scaling.
2
Team & calibrate
A dedicated, trained team ramps on your guidelines, benchmarked against gold-standard tasks until accuracy targets are hit.
3
Produce & QA
Production batches flow through multi-tier QA — consensus review, statistical sampling, and edge-case escalation.
4
Deliver & iterate
Data ships in your format with accuracy reports. Guidelines evolve with your model's failure cases.
Frequently asked questions
How do you guarantee quality forchatbot training?
Every project runs through multi-tier QA: annotators are benchmarked against gold-standard tasks before production, batches are statistically sampled against agreed accuracy targets, and ambiguous cases are escalated and documented in a living labeling guide. You receive accuracy reports with every delivery.
Can we start with a small pilot before committing?
Yes — we recommend it. A paid pilot batch on your real data lets you evaluate our quality, turnaround, and communication before scaling. Pilot learnings become the project's labeling guide.
How is our data kept secure?
Client data is encrypted in transit and at rest, access is limited to the assigned project team under NDAs, and we support VPN-restricted or client-hosted workflows where data cannot leave your environment. Retention and certified deletion terms are set per engagement.
What tools and output formats do you support?
We work in your annotation platform or ours, and deliver in the format your pipeline expects — COCO, YOLO, Pascal VOC, JSON, CSV, or a custom schema — with delivery via API, cloud bucket, or scheduled export.
Ready to scale yourchatbot training?
Start with a pilot batch — see our quality on your data before you commit.