Innovative Design
Bring complex optical paths back inside the chip
Reduces the number of precision spectral components, simplifies optical-path design and supports accurate spectral-data acquisition.
Chip & Intelligent Platform
Light captures the data.
Models make it useful.
A spectral chip measures how a sample interacts with light. The VISPEK AI Platform helps turn that data into models for your material and measurement task.
In-house luminescent-material synthesisIn-house development across light source, sample interface, detector and software
44 channels · 240–1700nmUltraviolet – visible – near infrared
Cost at approximately 5% of alternativesMiniaturised packaging
Core Technology Loop
Spectral Analysis Instruments
Powered by proprietary spectral chips
Data Acquisition
On-site / online / embedded
Data Upload
VISPEK mobile app
Analysis & Modelling
VISPEK AI Platform
Application Models
Spectral-analysis application models
Model Application
Back to the device and operational workflow
What does this mean for your application?
NT-series miniature full-spectrum sensing chips
Condense Spectral Capability into
a Deployable Sensing Foundation
The NT-series chip captures spectral information across ultraviolet, visible and near-infrared light. Instruments and application models use that information for specific measurement tasks.
High-sensitivity Sensing
From ultraviolet to near infrared
Built on proprietary optical materials to deliver full-spectrum sensing from ultraviolet and visible light to near infrared.
240-1700nmFull-spectrum Coverage
Solids & LiquidsFor measurement across multiple material states
VISPEK AI Platform
VISPEK AI
Platform
A unified workspace for spectral developers to acquire, clean and visualise data, then train and deploy models. Its no-code workflow lowers the programming barrier for building spectral-analysis models.
No-code Development : Build spectral-analysis models without writing code
Multiple core algorithms : Built-in mainstream algorithms for varied modelling needs
Custom interface integration : Provides interfaces for system integration and efficient custom development
Modelling workflowNo-code
01
Data Acquisition : Connect instruments and organise samples by dataset
02
Data Cleaning : Denoise data and remove anomalous samples
03
Data Visualisation : Review spectral curves and label distributions
04
Model Training : Select a built-in algorithm and train an analysis model
05
Model Deployment : Deploy to instruments and operational systems
Want to Verify Whether Spectral Sensing Can Distinguish Your Sample?
Provide a sample and measurement target; our engineering team will support feasibility validation and model evaluation.