Access to expertise
Outsourcing specific tasks to experienced AL&ML engineering team allows businesses access to a wider range of expertise than they might have in-house. This leads to high-quality results and more efficient use of resources.
Machine Learning Outsourcing
Drive innovation and improve efficiency with artificial intelligence outsourcing. Our team of AI specialists will help you optimize your operations and unlock new business opportunities
Machine learning outsourcing is a great opportunity for companies to delegate the development of ML solutions to put their business into a competitive advantage. Gather large sets of data and get valuable business insights, make data-driven decisions. Optimize business operations, automate processes, and open new revenue streams with the help of Inoxoft.
Outsource Artificial Intelligence Customer Services
Artificial intelligence outsourcing takes multiple forms. See our AI and ML development capabilities:
Natural Language Processing
Natural Language Processing
Create NLP systems like virtual assistants and chatbots that can streamline your business process.
Computer Vision
Computer Vision
Replace manual work with top-notch algorithms that enable computers to gain knowledge through experience.
Neural Networks
Neural Networks
Analyze large sets of data and identify patterns that humans might not see to make to better-informed business decisions.
ML Model Development
ML Model Development
Create a mathematical model that can analyze data, learn from it, and make predictions or decisions based on that learning.
Data Engineering
Data Engineering
Transform your corporate data into smart data sets that provide insightful information. Ensure that this data is secure, and properly stored.
Data Analysis
Data Analysis
Make data-driven business decisions by processing and analyzing large volumes of data.
Predictive Analytics
Predictive Analytics
Identify business opportunities and risks. Discover trends, and leverage sales prediction to be ready for the demand.
Data Mining
Data Mining
Transform raw data into actionable insights, and discover hidden patterns, and trends.
Marketing Automation Solutions
Marketing Automation Solutions
Analyze customer behavior data, predict what trends and preferences target audience will follow
Chatbots Development
Chatbots Development
Improve customer service by delegating specific tasks like interacting with clients to chatbots.
Artificial Intelligence Outsourcing Process
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Developing a strategy
Together with the client, the Inoxoft team defines and articulates challenges that AI has to solve, gathers requirements, and develops a detailed project plan that outlines the scope of the project, timeframes, tech stack, and expected outcomes.
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Data collection and preparation
Our team collects and prepares the data that will be used to train the AI models. We develop models and perform analyses to gain deeper insights into the data, using machine learning algorithms, statistical modeling techniques, and, visualization tools. Preparation includes
Preparation includes:
- Verification of data availability
- Basic data exploration
- Defining a methodology for building and validating AI or ML model
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AI model development
Once the data is ready, we begin the development phase. Our engineering team uses ML algorithms to train the models and analytical tools to achieve the expected results.
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Testing
After the AI models have been developed, they need to be tested to ensure they are functioning as expected. Any issues should be identified and addressed, and the models may need to be retested several times.
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Deployment and integration
Once the models have been thoroughly tested, they can be deployed and integrated with the existing systems.
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Maintenance and support
During this stage, we ensure that the AI software continues to function correctly and deliver the expected outcomes over time. The process involves regular updates and bug fixes, as well as providing training and support to users as needed.
Hire Machine Learning Outsourcing Team
Outsource artificial intelligence services to Inoxoft and achieve a significant competitive advantage and enhance several business opportunities.
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Cost efficiency
AI outsourcing can be more cost-effective than hiring and training an in-house team. It allows businesses to scale up or down their machine learning capabilities per need.
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Reduced risk
ML outsourcing teams often have experience working with various projects within different which can help reduce the risk of errors and setbacks in the development process.
Technologies we work with
We keep open and reliable partnerships and maintain solid expertise, upgrading it to the latest technologies in software development. Inoxoft is a team of 100+ certified experts with comprehensive knowledge in:
Our Clients
Inoxoft is committed to our client’s project success, so we provide high-quality custom telemedicine application development services, convenient communication with the team and deliver products that match every business need.
5.0
"They deliver what they promise, and I can’t say that about other companies I’ve worked with."
Delegate the whole process to professionals
Want to develop a new product but have no prior experience in software development? Provide us a vision, business need, and accept our work on an iterative basis.
Product Development
Extend your tech team with our top-notch talents
Let Inoxoft seamlessly integrate with your existing team to provide you with the required expertise. Achieve your business objectives faster, scaling up or down per need.
Team Extension
Scale up with
a professional team
a professional team
Stay engaged in the development of your product: create, view and deliver side-by-side with a team of experienced people.
Dedicated Team
What is AI outsourcing?
Artificial intelligence outsourcing is a business practice of hiring third- party service provider (software development company) to develop, implement, and manage artificial intelligence (AI) solutions on behalf of a client.
Can AI be outsourced?
Artificial intelligence outsourcing is a beneficial practice for companies that don't have the internal resources or expertise to develop and implement AI solution in-house. AI outsourcing may include:
- AI consulting
- AI development
- AI maintenance and support:
How can AI be used to improve customer service?
AI is a great technology that can be used to improve customer service with the following tools:
- Chatbots
Chatbots help reduce wait times and improve the overall customer experience. They
interact with clients: quickly answer common customer questions, provide support, and escalate issues to human agents when necessary. - Natural Language Processing
NLP allows machines to understand and interpret human language. It allows you quickly analyze and categorize customer inquiries, improving response times and accuracy. - Personalization
AI can analyze customer data, such as purchase history and preferences to provide personalized recommendations and support. - Predictive Analytics
AI-powered predictive analytics can help businesses anticipate customer needs, detect issues before they arise, and offer solutions to solve them.