Nexdata platform’s advantage

Accelerate your AI initiatives
with pre-recogntion engine

With built-in pre-recognition engine, our platform supports
human-machine interaction and semi-automatic labeling,
increasing the labeling efficiency by more than 30%.

Ensure high-quality data
with multi-level quality inspections

Our platform supports various task distribution workflow such
as by package and by items, and has built-in multi-level quality
inspection management functions to ensure high-quality data
output.

Multi-role, multi-level authority management strictly adhere to the data security bottom line

Our platform has built-in template watermark, log audit, login
verification, API authorization management and other security
functions, and supports privatized deployment to ensure that
data is not leaked and is processed internally.

Nexdata flexible deployment options

Public Cloud Deployment

Quickly and independently deploy systems for enterprises through the cloud to achieve exclusive use of computing resources.

Privatized deployment

For customers with more security, controllability and compliance requirements, we support privatized deployment in on-premises data centers.

Case Studies

USE CASE：Clients wants to build a data annotation platform.
CHALLENGE：A large machinery company wants to build a data annotation platform.
SOLUTION：Nexdata help clients deploy and build a data annotation platform, build NLP entity and relationship extraction capabilities by annotating entity and relational text data, and help clients build manufacturing knowledge graphs by combining algorithm models, knowledge bases and manual annotation.

USE CASE：Clients want to improve data annotation capabilities.
CHALLENGE：We have to support multi-sensor, multi-modal, and continuous frame data labeling for visible light cameras and LiDARs in autonomous driving scenarios.
SOLUTION：Through the deployment and customized development of annotation platform products, Nexdata helps customers build AI data to improve production capabilities, help solve the 'perception' problem in autonomous driving scenarios, and pave the way for the closed-loop autonomous driving of decision-making and execution.

USE CASE：Speech data annotation and corresponding model training.
CHALLENGE：A global automotive manufacturer wants to better customer service speech data annotation and corresponding model training.
SOLUTION：Nexdata help client with customer service speech data annotation and corresponding model training. Through high flexible data transmission methods and intelligent quality inspection, efficient labeling and high-quality data output is achieved, and the client's model has been significantly improved.