"Accelerate your image analysis with AI"
"Accelerate your image analysis with AI"
"Accelerate your image analysis with AI"
Designed for Labs, Research Centers, and Companies
Designed for Labs, Research Centers, and Companies
ARTIFICIAL INTELLIGENCE
IMAGE ANALYSIS
ARTIFICIAL INTELLIGENCE
IMAGE ANALYSIS
ARTIFICIAL INTELLIGENCE
IMAGE ANALYSIS
WHAT IS HIXLOOP
WHAT IS HIXLOOP
HiXloop is an AI-powered image analysis tool developed by BionomeeX that enables fast, accurate annotation of biological images while keeping humans in the loop.
HiXloop is an AI-powered image analysis tool developed by BionomeeX that enables fast, accurate annotation of biological images while keeping humans in the loop.
Researchers annotate a small set of images, and HiXloop learns from these corrections to automatically label larger datasets. This human-in-the-loop approach ensures high accuracy and continuous improvement.
Researchers annotate a small set of images, and HiXloop learns from these corrections to automatically label larger datasets. This human-in-the-loop approach ensures high accuracy and continuous improvement.
How it works ?
How it works ?
Applications :
HiXloop can be applied to medical imaging, plant biology, environmental studies and any field that relies on large-scale image annotation.
Key Benefits :
Accelerates image annotation
by orders of magnitude
Improves accuracy through
AI-human collaboration
Compatible with existing research
workflows and machine learning pipelines
Applications :
HiXloop can be applied to medical imaging, plant biology, environmental studies and any field that relies on large-scale image annotation.
Key Benefits :
Accelerates image annotation
by orders of magnitude
Improves accuracy through
AI-human collaboration
Compatible with existing research
workflows and machine learning pipelines
Applications :
HiXloop can be applied to medical imaging, plant biology, environmental studies and any field that relies on large-scale image annotation.
Key Benefits :
Accelerates image annotation
by orders of magnitude
Improves accuracy through
AI-human collaboration
Compatible with existing research
workflows and machine learning pipelines
Data Types & use cases :
DRONE
IMAGERY
MRI SCANS
SCANNER IMAGES
SMARTPHONE
MICROSCOPE
IMAGES
Partners using HiXloop
Scientific & Strategic Partnerships
Scientific & Strategic
Partnerships
Projects powered by HiXloop
Supported Data Sources
DRONE IMAGERY
MRI SCANS
SCANNER IMAGES
SMARTPHONES
MICROSCOPE IMAGES
DRONE IMAGERY
MRI SCANS
SCANNER IMAGES
SMARTPHONES
MICROSCOPE IMAGES
DRONE IMAGERY
MRI SCANS
SCANNER IMAGES
SMARTPHONES
MICROSCOPE IMAGES
DRONE IMAGERY
MRI SCANS
SCANNER IMAGES
SMARTPHONES
MICROSCOPE IMAGES
Supported Data Sources
DRONE IMAGERY
MRI SCANS
SCANNER IMAGES
SMARTPHONES
MICROSCOPE IMAGES
DRONE IMAGERY
MRI SCANS
SCANNER IMAGES
SMARTPHONES
MICROSCOPE IMAGES
DRONE IMAGERY
MRI SCANS
SCANNER IMAGES
SMARTPHONES
MICROSCOPE IMAGES
DRONE IMAGERY
MRI SCANS
SCANNER IMAGES
SMARTPHONES
MICROSCOPE IMAGES
Our Hixloop cycle accelerates AI performance by combining targeted human annotation with iterative model training, automated large-scale predictions, and human validation, creating a continuous improvement loop that delivers precise, reliable results at scale.
AI HiXLOOP
First annotation by users of
small portions of the dataset
1
This portion used to train
and evaluate AI model
2
Trained model used to
predict the rest of the data
3
Human vérification of
these predictions
4
Repeat step 2 with
corrected data
5
AI HiXLOOP
Our Hixloop cycle accelerates AI performance by combining targeted human annotation with iterative model training, automated large-scale predictions, and human validation, creating a continuous improvement loop that delivers precise, reliable results at scale.
Our Hixloop cycle accelerates AI performance by combining targeted human annotation with iterative model training, automated large-scale predictions, and human validation, creating a continuous improvement loop that delivers precise, reliable results at scale.
First annotation by users of
small portions of the dataset
First annotation by
users of small portions
of the dataset
1
1
This portion used to train
and evaluate AI model
This portion used to train
and evaluate AI model
2
2
Trained model used to
predict the rest of the data
Trained model used to
predict the rest of the data
3
3
Human vérification of
these predictions
Human vérification of
these predictions
4
4
Repeat step 2 with
corrected data
Repeat step 2 with
corrected data
5
5
Compare rates and find the solution that suits you
Compare rates and find the solution that suits you
Compare rates and find the solution that suits you
Proof of concept
Specific Project
ANR/BPI
Proof of concept
Duration
2 weeks
to 1 month
Dataset Size
only
small data
Project Goals
feasibility
assessment
HiXloop Software package
Scientific / Research support
(biologist team)
Engineering & Al expertise
(technical team)
Bionomeex Servers
1 month
high priority
Custom features
(design, tools, workflows)
—
Daily or occasional application
—
Access & usage
No limitations
—
Proof of concept
Specific Project
ANR/BPI
Proof of concept
Duration
2 weeks
to 1 month
Dataset Size
only
small data
Project Goals
feasibility
assessment
HiXloop Software package
Scientific / Research support
(biologist team)
Engineering & Al expertise
(technical team)
Bionomeex Servers
1 month
high priority
Custom features
(design, tools, workflows)
—
Daily or occasional application
—
Access & usage
No limitations
—
Stay in touch
for more informations
Social
Copyright 2025 bionomeeX. All right reserved.
Feature / Functionality
Duration
Dataset Size
Project Goals
HiXloop Software Package
Scientific / Research support
(biologist team)
Engineering & AI expertise
(technical team)
Bionomeex Servers
Custom features
(design, tools, workflows)
Daily or occasional
application
Access & usage
No limitations
Feature / Functionality
Duration
Dataset Size
Project Goals
HiXloop Software Package
Scientific / Research support
(biologist team)
Engineering & AI expertise
(technical team)
Bionomeex Servers
Custom features
(design, tools, workflows)
Daily or occasional
application
Access & usage
No limitations
Proof of
Concept
2 weeks
to 1 month
only
small data
feasibility
assessment
—
1 month
high priority
—
—
Proof of
Concept
2 weeks
to 1 month
only
small data
feasibility
assessment
1 month
high priority
—
—
—
Specific
Project
1 month
to 3 months
more data
recommended
better results
(diverse approaches)
6 months
high priority
—
Specific
Project
1 month
to 3 months
more data
recommended
better results
(diverse approaches)
6 months
high priority
—
ANR / BPI
long term
(<6 months)
high density
of data
state of the art
AI methods
hosting /
maintenance
ANR/BPI
long term
(<6 months)
high density
of data
state of the art
AI methods
hosting /
maintenance
Stay in touch
for more informations
Social
Copyright 2025 bionomeeX. All right reserved.
Stay in touch
for more informations
Social
Copyright 2025 bionomeeX. All right reserved.