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Documents Processing

We assist our clients in their most time-consuming Data Processing tasks (transcription of scanned documents or audio files into text format). Do your accounting or KYC processes require verification of documents (invoices, IDs, ...)? We can help you.

Transcription of Documents

Using OCR (Optical Character Recognition) techniques and manual quality review, we can process your documents, rendering them in a structured Data format that allows you to search or extract information. We can also annotate these documents, categorize them and restore them in a structured format. In compliance with regulatory constraints.

Transcription of Documents

Using OCR (Optical Character Recognition) techniques and manual quality review, we can process your documents, rendering them in a structured Data format that allows you to search or extract information. We can also annotate these documents, categorize them and restore them in a structured format. In compliance with regulatory constraints.

Transcription of Documents

Using OCR (Optical Character Recognition) techniques and manual quality review, we can process your documents, rendering them in a structured Data format that allows you to search or extract information. We can also annotate these documents, categorize them and restore them in a structured format. In compliance with regulatory constraints.

Bounding Boxes

The Bounding Box is the simplest type of annotation, probably the most common. The complexity of Bounding Boxes labeling tasks is often underestimated - a lack of precision can make learning more difficult or time consuming. Innovatiana's Data Labelers are trained in the best annotation techniques - our approach, which includes mandatory training and quality review, ensures the highest level of quality.

Cuboids

An annotation format close to the Bounding Box... but in three dimensions! Particularly useful for your AI products if you work in the automotive industry (but not only!).

Polygons

To ease the training of your models, you can choose to annotate objects with polygons, delineating the objects very precisely to eliminate noise. This will prevent you from annotating irrelevant elements that could make your model confusing. This of course takes a little more time... but good news, our Data Labelers have been trained in the best tools to label polygons in a reasonable time.

Keypoints

What more can be said? These are dots - on pictures. What for? Often to train detection models or facial recognition. To detect emotions, expressions, ... It's a precision work that requires rigor and resilience ... qualities that characterize our Data Labelers!

Lines & Polylines

Lines, to delimit sections on an image and train your "Computer Vision" model to recognize and delimit roads, streets, sidewalks, ... Because even if your object detection model for your autonomous car is very good, nobody wants his car to confuse a sidewalk with a tree. That's what Lines & Polylines are for.

Categorization

We are regularly asked to categorize video sequences to train models or algorithms. Our Data Labelers are used to doing this with the most powerful tools on the market for this type of use case, such as V7. To allow you to keep only useful sequences, eliminate noise and structure your video data.

Semantic Layer Classification

Do you have thousands of unused images? We can classify them and associate semantic attributes to these classes to allow you to filter / search your images in a fluid way... or train a model to do it for you! Do you have a simple case that requires you to categorize 1'000 images in 3 different categories? A complex case where you need to categorize 40'000 images into 40 classes and 50 attributes? Contact us, we've already done it!

Segments

Segments, to generate masks on a multitude of images, by managing occlusion or overlays. A work that requires patience, rigor and the use of powerful tools. If you are not equipped, we recommend you to use CVAT... and to call our Data Labelers who master this tool very well!

LiDAR or 3D Point Cloud Annotation

LiDAR (3D Point Cloud) annotation is a complex task, which requires Data Labelers to be trained and to use efficient Data Labeling tools. For this type of use case, we set up taskforces of experienced Data Labelers, led by a Data Labeling Manager who is an expert in the field.

Bounding Boxes

The Bounding Box is the simplest type of annotation, probably the most common. The complexity of Bounding Boxes labeling tasks is often underestimated - a lack of precision can make learning more difficult or time consuming. Innovatiana's Data Labelers are trained in the best annotation techniques - our approach, which includes mandatory training and quality review, ensures the highest level of quality.

Cuboids

An annotation format close to the Bounding Box... but in three dimensions! Particularly useful for your AI products if you work in the automotive industry (but not only!).

Polygons

To ease the training of your models, you can choose to annotate objects with polygons, delineating the objects very precisely to eliminate noise. This will prevent you from annotating irrelevant elements that could make your model confusing. This of course takes a little more time... but good news, our Data Labelers have been trained in the best tools to label polygons in a reasonable time.

Keypoints

What more can be said? These are dots - on pictures. What for? Often to train detection models or facial recognition. To detect emotions, expressions, ... It's a precision work that requires rigor and resilience ... qualities that characterize our Data Labelers!

Lines & Polylines

Lines, to delimit sections on an image and train your "Computer Vision" model to recognize and delimit roads, streets, sidewalks, ... Because even if your object detection model for your autonomous car is very good, nobody wants his car to confuse a sidewalk with a tree. That's what Lines & Polylines are for.

Categorization

We are regularly asked to categorize video sequences to train models or algorithms. Our Data Labelers are used to doing this with the most powerful tools on the market for this type of use case, such as V7. To allow you to keep only useful sequences, eliminate noise and structure your video data.

Semantic Layer Classification

Do you have thousands of unused images? We can classify them and associate semantic attributes to these classes to allow you to filter / search your images in a fluid way... or train a model to do it for you! Do you have a simple case that requires you to categorize 1'000 images in 3 different categories? A complex case where you need to categorize 40'000 images into 40 classes and 50 attributes? Contact us, we've already done it!

Segments

Segments, to generate masks on a multitude of images, by managing occlusion or overlays. A work that requires patience, rigor and the use of powerful tools. If you are not equipped, we recommend you to use CVAT... and to call our Data Labelers who master this tool very well!

LiDAR or 3D Point Cloud Annotation

LiDAR (3D Point Cloud) annotation is a complex task, which requires Data Labelers to be trained and to use efficient Data Labeling tools. For this type of use case, we set up taskforces of experienced Data Labelers, led by a Data Labeling Manager who is an expert in the field.

Our method

A team of professionally trained data labelers to help you create and maintain quality datasets for your AI outsourcing needs

Step 1
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We study your needs

We propose a tailor-made assistance, taking into account your constraints and deadlines.We offer advice on your Labeling infrastructure, the number of Data Labelers required according to your needs and the type of annotations to be used.

Step 2
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We find an agreement

Within 48 hours, we do a test (free of charge). We find an agreement which is convenient for you. We do not lock the service: no monthly subscription, no commitment. We bill by the job!

Step 3
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Our Data Labelers process your Data

We are mobilizing a team of Data Labelers at our service center in Majunga (Madagascar). This English- and French-speaking team is led by one of our Managers: your privileged contact.

Step 4
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We carry out a Quality Review

As part of our Quality Assurance process, we review the work of our Data Labelers. This review is based on a series of manual (sample tests) and automated checks in order to guarantee you the highest level of quality!

Step 5
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We deliver the Data

We provide you with the prepared Data( variousdata sets: annotated images or videos, revised and enriched static files, etc.), according to the terms agreed with you (secure transfer or data integrated into your systems).

You are talking about us

I've worked with Innovatiana on a variety of labeling and data cleaning activities - work that requires rigor and must remain manual... because quality is key! What I appreciate most about Innovatiana is the assurance that my data is prepared ethically, by a Labeling Studio whose team works regular hours and is paid fairly!

Hamza Kohen
Head of Data Management, CAC 40 company

Innovatiana is very helpful in reviewing our datasets to train our machine learning algorithms. The team is dedicated, reliable and always looking for solutions. I also appreciate the local dimension of the model, which allows me to interact with people who understand my needs and constraints. I highly recommend Innovatiana!

Henri Rion
CEO, OX3

Innovatiana helps us perform data labeling tasks for our classification and text recognition models, which requires a thorough review of thousands of French real estate ads. The work provided is of high quality and the team is stable over time. The deadlines are clear as well as the level of communication. I will not hesitate to entrust Innovatiana with other similar tasks (Computer Vision, NLP, ...).

Tim Keynes
Chief Technology Officer, Fluximmo

Several Data Labelers from the Innovatiana team are integrated full time into my team of surgeons and Data Scientists. All of them work together to build innovative AI products. I appreciate the expertise of the Innovatiana team, which has managed to provide me with a team of medical students with the knowledge of anatomy needed to prepare the quality data required to train my AI models.

Dan D.
Data Scientist and Neurosurgeon, Children's National

Innovatiana is part of the 4th promotion of our impact gas pedal. Its model is based on positive impact outsourcing with a service center (or Labeling Studio) located in Majunga, Madagascar. Innovatiana focuses on the creation of local jobs in under-served or underserved areas and a transparency/valuation of working conditions!

Louise Block
Accelerator Program Coordinator
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Ethical Data Labeling Outsourcing

We are the pros of ethical Data Labeling

Many companies providing Data Labeling services operate in low-income countries on a contractual and often impersonal basis. Data Labelers are not always paid fairly or work in decent conditions. Contrary to this market "trend", we want to offer outsourcing that has meaning and impact!

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Ethical outsourcing

We refuse the so-called"crowdsourcing" practices: we create stable and valued jobs to offer you Outsourcing that has meaning and impact as well as transparency about the origin of the Data used for AI.

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Competitive rates

We offer flexible conditions, for a pricing adapted to your stakes and to your means. We charge by the job (example: "label 50,000 images with bounding boxes"): no subscription, no set-up fees.

An inclusive model

We recruit our own team in Madagascar and train them in Data Processing and Labeling techniques for AI. We offer them a fair salary, good working conditions and career development opportunities.

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A brighter future

We want to contribute to the development of virtuous ecosystems in Madagascar (training, employment, local investments, etc.).

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Your Data secured

We pay particular attention to Data Security and Confidentiality. We assess the criticality of the Data you wish to entrust to us and deploy the best Information Security practices to protect it.

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Towards the adoption of AI in Europe and France

We want to accelerate the adoption of Artificial Intelligence techniques in France and in Europe. We believe in ethically built AI and invest in our dedicated Data Labeling teams.

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Fuel your AI models with High Quality Training Data!