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Space-O stays ahead of the AI and ML software development curve by partnering with the biggest companies, such as Google, Amazon, and Microsoft.
Through machine learning consulting services, you can get expert guidance on using and implementing ML solutions and services to enhance your business operations. Below are the ML services that Space-O provides consultation for.
If you want to know the best strategy to implement machine learning in your business as optimally as possible, look no further. We can help you create and evaluate the most suitable and effective strategy that doesn’t impede your existing business workflow much.
Ready to supercharge your business with our machine learning development services? Space-O’s experienced team of experts can develop a robust and effective ML solution for you, complete with a customized ML library, the right architecture, and built on the best-suited platform.
Every process workflow is unique, and every AI or ML solution has to be just as unique to suit the business like a glove. Space-O’s team can assess your business architecture and intended use case scenario to ensure maximum optimization while developing and implementing your machine learning model.
Perhaps you would like to build an in-house ML model yourself. In such a case, we can provide useful advice and a helping hand in creating the perfect ML model for your business.
One of the essential benefits of developing an ML system for your business is the ability to collect a vast amount of data and analyze it for useful insights.
A custom machine learning algorithm will provide the most optimal solution for your business compared to conventional universal solutions.
Businesses can leverage machine learning’s capabilities to offer a personalized and enhanced customer experience to each individual. This can increase customer satisfaction and customer retention.
A versatile ML system enables resource savings and increases the efficiency and accuracy of processes while eliminating human error.
If the consultation results in your business requiring a development team of skilled ML software engineers, here’s what you can expect us to deliver:
Pre-trained ML models may not correspond with your business as flexibly as you wish. Hence, we make custom machine learning models with convolutional and recurrent neural networks so they can easily adapt to your business.
Space-O has over 10 years of experience building computer vision solutions for various use cases, such as security checks, biometrics, and autonomous visual inspections. We also develop strong OCR APIs for document verification or other image-to-text use cases.
We make Natural Language Processing models that can recognize user behavior and provide insights about customers based on raw data such as comments or conversations.
Machine learning models need progressive re-training with new data and fine-tuning algorithms to increase efficiency. Space-O’s machine learning developers can skillfully re-train and fine-tune existing and new ML solutions.
Our custom recommendation engines can help you capture new leads from existing users. We strategically deliver these recommendations by analyzing user behavior and preferences based on interaction data performed autonomously by the ML model.
An ML solution is no good if it is not fully compatible with existing business processes or creates a performance bottleneck. At Space-O, we take all the necessary measures such as infrastructure provisioning, data preprocessing, and data conversion to ensure a smooth integration of the ML solution with your workflow.
At Space-O, we keep your business details and concerns under strict confidentiality through NDAs signed by all individuals involved. We also monitor all project development activities to avoid data breaches.
The machine learning development team at Space-O holds over 14 years of experience developing custom machine learning solutions on neural and non-neural networks. Our team of 80+ pre-vetted developers is also experienced in using multiple machine learning libraries, including Keras, Caffe, and TensorFlow. You get only the best consultation and wisest advice for your business.
At Space-O Technologies, we believe in delivering consultancy services as quickly and extensively as possible. As a result, you can simply state your concerns or doubts, and we will get back to you with the result/solution as soon as possible.
Do you want to gain a competitive advantage by implementing ML in your business? Do you want to know how a particular ML model can impact your business? Allow Space-O to answer those questions that are circling you. Our industry-best team of ML experts and data scientists infuse the power of ML in a smart, scalable solution with the primary objective of boosting your business further.
Whether you want to know if ML is a suitable fit for your business, or you’re torn between algorithms such as Neural Networks, linear regression, Logistic Regression, Clustering, Decision Trees, and Random Forests, get in touch with Space-O to get your answers.
Our team is well-versed in diverse technologies to help your business with consulting or developing any kind of machine learning solution, bringing your ideas to fruition.
Backend
Machine Learning Libraries
Monitoring and Analytics
As machine learning consultants, we follow a systematic process so you get a business-aligned blueprint for effective and easy implementation. Our consulting process is time-tested, and we have designed it to help you quickly understand the potential of a machine learning solution for your business.
Healthcare
Travel & Tourism
eCommerce
Education
Manufacturing
Food & Restaurant
Entertainment
Agriculture
Banking
Social Networking
Government
Insurance
Artificial intelligence is a broad concept that enables computers to mimic human intelligence and replicate how humans perform tasks. Machine learning is a subset of AI that allows a computer system (or an AI model) to use patterns and language processing to learn on its own without explicit instructions from humans.
To give you an idea, an entry-level ML solution like a basic image classification model can take anywhere from 2-4 months from ideation to deployment. However, factors such as the size of the ML data library, architecture, broadness of use cases, and choice of algorithms can significantly vary the time frame.
The process starts with you reaching out to us and sharing any queries you have along with the relevant information. Our team will get back to you within 48 hours and assess the issue. Then, we will come up with a roadmap of the best possible solution(s) for that particular scenario.
Definitely. We can help you enhance or replace your existing ML solution. Whether you want to change the scaling, enhance the efficiency, close any loopholes, or fine-tune the process, we have you covered.
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Angular
React.js
Vue.js
Django
Flask
Express.js
TensorFlow
Pytorch
Keras
LangChain
Prometheus
Grafana
ELK Stack
MongoDB
Cassandra
Redis