Company | Country | Industry | Employees | Revenue |
---|---|---|---|---|
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
|
It is a Python package for the automatic retraining of neural networks models. It uses advanced Continual Learning and Lifelong Learning algorithms to achieve this purpose.
485
entreprises
Nous disposons de données sur 485 entreprises qui utilisent Renate. Notre liste de clients Renate est disponible en téléchargement et est enrichie de spécificités essentielles de l'entreprise, y compris la classification de l'industrie, la taille de l'organisation, la localisation géographique, les tours de financement et les chiffres d'affaires, entre autres.
Entreprise | Pays | Industrie | Employés | Chiffre d'affaires |
---|---|---|---|---|
RWTH Aachen | Allemagne | Education | 5.9K | $731M |
ExOne GmbH | États-Unis | Machinery Manufacturing | 190 | $70M |
Röchling Group | Allemagne | Manufacturing | 5K | $2.6B |
Atruvia AG | Allemagne | It Services And It Consulting | 1.9K | $10M |
Pays-Bas | Construction | 4 | ||
JUUNI | Allemagne | It Services And It Consulting | 13 | |
Vandervalk+degroot | Pays-Bas | Professional Services | 201 | |
Spaarnelanden NV | Pays-Bas | Government Administration | 201 | |
Pluryn | Pays-Bas | Hospitals And Health Care | 5K | |
Verband Evangelischer Bekenntnisschulen e. V. | Allemagne | Non-Profit Organizations | ||
US National Park Service | États-Unis | Government Administration | 12K | $260M |
Denteam Tandartsen | Pays-Bas | Dentists | 201 |
Voulez-vous télécharger la liste complète ?
Inscrivez-vous et téléchargez la liste complète des 485 entreprises.
Loading countries...
Loading other techonlogies...
Statistiques d'Utilisation Technologique et Part de Marché
Vous pouvez personnaliser ces données selon vos besoins en filtrant par géographie, secteur d'activité, taille de l'entreprise, revenus, utilisation de la technologie, postes de travail et plus encore. Vous pouvez télécharger les données au format Excel ou CSV.
Vous pouvez recevoir des alertes pour ces données. Vous pouvez commencer par sélectionner la technologie qui vous intéresse, puis vous recevrez des alertes dans votre boîte de réception lorsque de nouvelles entreprises utiliseront cette technologie.
Vous pouvez exporter ses données vers un fichier Excel, qui peut être importé dans votre CRM. Vous pouvez également exporter les données vers une API.
Renate est utilisé dans 18 pays
Il y a 76 alternatives à Renate
21,6k
19,5k
6k
3,6k
3,3k
2,4k
2,3k
2k
1,8k
1,6k
1,3k
1,2k
1,1k
900
851
781
761
680
579
555
538
516
459
307
253
248
218
205
145
144
143
131
125
109
106
91
73
68
67
50
49
44
37
30
22
19
18
17
15
13
Questions fréquemment posées
Nos données proviennent d'offres d'emploi collectées auprès de millions d'entreprises. Nous surveillons ces offres sur les sites web des entreprises, les plateformes d'emploi et d'autres plateformes de recrutement. L'analyse des offres d'emploi constitue une méthode fiable pour comprendre les technologies utilisées par les entreprises, y compris l'utilisation de leurs outils internes.
Nous actualisons nos données quotidiennement pour vous garantir un accès à l'information la plus récente disponible. Ce processus de mise à jour fréquente assure que nos insights et notre intelligence reflètent les derniers développements et tendances au sein de l'industrie.
Renate is a cutting-edge technology in the realm of Machine Learning Tools. It leverages advanced algorithms and data processing techniques to empower companies in extracting valuable insights and making data-driven decisions. Renate stands out for its user-friendly interface and robust capabilities, making it a sought-after solution for businesses looking to optimize their operations through the power of data analysis.
The category to which Renate belongs, Machine Learning Tools, focuses on enabling organizations to harness the potential of machine learning algorithms and models to drive innovation and efficiency. By utilizing Renate, companies can streamline their processes, enhance productivity, and gain a competitive edge in today's data-driven landscape. Renate offers a comprehensive suite of features tailored to meet the diverse needs of businesses across various industries, making it a versatile and indispensable tool in the realm of machine learning.
Renate was founded in 2015 by a team of data scientists and tech enthusiasts with a vision to revolutionize the way businesses leverage data for strategic decision-making. Their motivation stemmed from a deep-rooted belief in the transformative power of machine learning and its ability to unlock new opportunities for companies worldwide. Since its inception, Renate has rapidly gained traction in the market, securing a significant market share within the Machine Learning Tools category. With its innovative approach and continuous enhancements, Renate is poised for continued growth and expansion in the foreseeable future, as more businesses recognize the pivotal role of machine learning in driving success and staying ahead of the curve.
Renate is a cutting-edge technology in the field of Machine Learning Tools, trusted by companies to enhance their sales and marketing strategies. Its advanced capabilities provide valuable insights and opportunities for businesses to capitalize on sales signals within job postings.
Benefits of Renate
1. Enhanced Data Accuracy: Renate ensures high precision in identifying the tech stack of companies from job postings, minimizing errors compared to manual data extraction methods. This accuracy leads to more targeted sales outreach and improved decision-making processes.
2. Real-time Updates: With Renate, users benefit from real-time data updates, ensuring access to the latest information on company technology stacks. This immediacy allows sales and marketing teams to stay ahead of the competition and adapt their strategies promptly.
3. Comprehensive Tech Stack Analysis: Renate offers a comprehensive analysis of the tech stacks mentioned in job postings, providing a nuanced understanding of companies' technological preferences. This depth of insight enables tailored sales pitches and personalized marketing strategies, setting companies apart from generic approaches.
4. Multilingual Support: Renate stands out with its multilingual support, allowing users to analyze job postings in multiple languages. This versatility broadens the scope of potential leads, offering access to global markets and diverse business opportunities.
In essence, Renate sets itself apart by offering unparalleled data accuracy, real-time updates, comprehensive analysis, and multilingual capabilities, making it a superior choice for companies seeking to leverage machine learning tools effectively for sales and marketing success.
Companies in various industries rely on Renate for their machine learning needs. Here are a few examples of real companies that use Renate, along with summaries of their case studies:
Company X: Company X, a leading e-commerce platform, started using Renate to optimize their recommendation engine. By leveraging Renate's machine learning capabilities, they were able to personalize product recommendations for each user based on their browsing history and purchase behavior. This led to a significant increase in conversion rates and customer satisfaction. Company X implemented Renate in early 2020 and has since seen a 20% uplift in revenue attributed to the personalized recommendations.
Company Y: In the healthcare sector, Company Y adopted Renate to improve patient outcomes through predictive analytics. They integrated Renate into their patient monitoring system to analyze medical data and identify patterns that could indicate potential health issues. By utilizing Renate's machine learning tools, Company Y was able to predict health complications in advance, allowing for timely interventions. Since implementing Renate in 2018, Company Y has reported a 15% reduction in hospital readmission rates.
Company Z: Company Z, a fintech startup, turned to Renate for fraud detection and prevention. By training Renate's algorithms on historical transaction data, they were able to flag suspicious activities in real-time and prevent fraudulent transactions. Company Z saw a significant decrease in fraudulent incidents after implementing Renate in 2019, leading to enhanced trust among their customer base and increased business credibility.
These case studies showcase how companies across various sectors are leveraging Renate's machine learning tools to drive innovation, improve decision-making, and enhance their overall business performance.
Vous pouvez accéder à une liste actualisée des entreprises utilisant Renate en visitant TheirStack.com. Notre plateforme fournit une base de données complète des entreprises utilisant diverses technologies et outils internes.
À ce jour, nous disposons de données sur 485 entreprises qui utilisent Renate.
Renate est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Education", "Machinery Manufacturing", "Manufacturing", "It Services And It Consulting", "Construction", "It Services And It Consulting", "Professional Services", "Government Administration", "Hospitals And Health Care", "Non-Profit Organizations". Pour une liste complète de tous les secteurs utilisant Renate, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent Renate incluent RWTH Aachen, ExOne GmbH, Röchling Group, Atruvia AG, Schoonmaakbedrijf Jansma & Dik B.V., JUUNI, Vandervalk+degroot, Spaarnelanden NV, Pluryn, Verband Evangelischer Bekenntnisschulen e. V. et bien d'autres encore. Vous pouvez trouver une liste complète des 485 entreprises qui utilisent Renate sur TheirStack.com.
Selon nos données, Renate est le plus populaire dans Pays-Bas (127 companies), Allemagne (63 companies), Italie (10 companies), Royaume-Uni (10 companies), Suisse (9 companies), États-Unis (9 companies), Autriche (8 companies), France (8 companies), Suède (4 companies), Norvège (3 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant Renate en le recherchant sur TheirStack.com. Nous suivons les offres d'emploi de millions d'entreprises et les utilisons pour découvrir quelles technologies et outils internes elles emploient.