Dataset Provider Services
Deliver ready-to-use and custom-built datasets designed around model objectives, technical specifications, target languages, and production constraints.
Enterprise AI Data Infrastructure
High-quality data operations for advanced AI systems.
Dragon AI provides off-the-shelf and custom-built datasets, data annotation, and evaluation support for advanced AI learning. We help B2B and B2G teams move from data requirements to delivery across text, image, video, audio, and multimodal workflows.
- CustomProgram design for domain-specific and multilingual data
- QA-ledStructured review, calibration, and acceptance criteria
- FlexibleShelf-ready data or scoped delivery for custom projects
What We Do
From data sourcing to model evaluation, we build the pipeline around your use case.
Dragon AI combines the strengths of a dataset provider, data annotation company, and full-service AI data partner for organizations that need quality, speed, and operational clarity.
Data Annotation Company Capabilities
Run image, video, audiovisual, text, and document annotation workflows with reviewer QA, edge-case guidance, and measurable acceptance standards.
Evaluation and AI Data Support
Create benchmark, validation, and regression datasets to improve model readiness before deployment and support safer iteration.
Dataset Coverage
Built for multimodal systems.
Dragon AI can support production and pilot programs across the most common data modalities used in foundation model development and applied AI systems.
Speech and ASR
Conversational Text
Image and Detection
Video Segmentation
Audiovisual Data
OCR and Documents
Multilingual Corpora
Preference Data
Safety Evaluation
Why Dragon AI
Built for AI teams that need more than just raw volume.
We refine the site around the concerns buyers actually have: quality, consistency, turnaround time, and whether the data can be used by model teams without rework.
Quality-Controlled Delivery
Projects are structured around annotation instructions, review loops, and acceptance criteria rather than simple throughput alone.
Flexible Operating Model
Support both shelf-ready datasets for speed and custom delivery for domain-specific or sensitive use cases.
Production-Oriented Outputs
Package data in formats and structures that support training, fine-tuning, and evaluation workflows from the start.
How We Work
A practical delivery model for teams that need quality and speed.
Refining the site around buyer expectations means showing not just what Dragon AI offers, but how engagements move from scoping to delivery.
1. Scope
Define data type, use case, quality thresholds, output format, timeline, and review rules.
2. Pilot
Run a smaller batch to confirm annotation instructions, edge cases, and acceptance standards.
3. Scale
Expand production with QA checkpoints, reviewer oversight, and operational reporting.
4. Deliver
Package data for training, fine-tuning, or evaluation in the structure your team can use immediately.
Industries
Teams use Dragon AI when dataset quality directly impacts performance, reliability, and deployment readiness.
Generative AI
Training, alignment, and evaluation datasets for LLM and multimodal applications.
Telecom
Speech, language, and support automation data for large-scale customer channels.
E-commerce
Catalog, search, moderation, and conversational commerce datasets.
Enterprise Software
Domain-specific corpora and evaluation sets for AI copilots and knowledge systems.
Government and Public Sector
B2G-facing data preparation, annotation, and evaluation support for quality-sensitive AI and digital transformation projects.
Trusted Relationships
Experience supporting recognized technology and telecom organizations.
Engagement Profiles
Examples of how teams can work with Dragon AI.
Multimodal Training Data
Support for image, video, audio, and text programs that need structured datasets for model training and fine-tuning.
Annotation at Operational Scale
Reviewer-led workflows for enterprise teams that need measurable quality across ongoing annotation batches.
Evaluation and Benchmarking
Build evaluation sets to test model quality, compare versions, and support pre-release decision making.
Ready to Launch
Talk with Dragon AI about your next dataset, annotation, or evaluation project.
FAQ
Questions buyers usually ask before making contact.
Do you provide ready-to-use datasets?
Yes. Dragon AI supports both off-the-shelf datasets and custom dataset programs depending on your timeline, domain, and technical requirements.
What annotation types do you support?
We support text, image, video, audiovisual, speech, OCR, document, and multimodal annotation workflows.
Who do you work with?
Dragon AI is positioned for B2B and B2G customers that need dependable AI data support for production systems and research programs.
Can you support evaluation as well as training data?
Yes. We support benchmark, validation, regression, and other evaluation-oriented datasets in addition to training and fine-tuning data.