What are the benefits of leveraging AI?
AI capabilities promise to provide businesses with immense efficiency gains and new levels of insight and innovation. In fact, a report from AI Infrastructure reveals that 81% of enterprises anticipate AI to elevate their industry’s efficiency by at least 25% in the next two years alone.
Whether you’re building an AI tool for internal business use or you’re powering a new product with AI, it comes with a compelling array of benefits including its ability to:
- Reduce operating costs by automating tedious and time-consuming tasks such as summarization, translation, and data analysis.
- Improve customer satisfaction by automating customer support and customer success tasks.
- Achieve business goals faster by generating marketing and sales content using the deep-learning language model.
Can you help project manage my custom AI development project?
Yes, absolutely! Our Engineering Managers and AI developers ensure that your AI development project runs smoothly and efficiently. We are experienced in managing projects from conception to completion and will work with you every step of the way to ensure that you get the results you need.
From developing a timeline and budget to monitoring progress and adjusting to changes, our software development experts can help you stay on track. We can also provide regular updates and progress reports to keep you informed about the project's progress.
Read More: Ultimate 7 Step AI Project Management Guide
How do you ensure quality control when developing custom AI solutions?
AI software development is a complex process, and quality control is essential for successful delivery. We ensure quality control throughout your work with us in a number of ways including:
- We plan and document the development process in detail, outlining the goals and objectives of the project, the timeline and deliverables, and the stages of development before we ever get started on any development or consulting work. This helps us to plan and track the project, measure progress, and identify potential issues in advance.
- We monitor and assess the quality of the software at every stage of development. This includes automated testing, code reviews, and continuous integration. This helps us to detect errors and bugs early on, ensuring that the product meets the required quality assurance standards.
- We use a variety of tools and techniques to ensure that the software is secure and reliable. This includes using secure coding practices, penetration testing, and code auditing. This helps ensure that the software is safe from malicious attacks, and that it meets the security requirements of the customer.
- We use a variety of methods to measure and assess the quality of the final software product or other deliverable. This includes user testing, usability testing, and performance testing. This helps us identify any areas of improvement, and ensure that the product is of the highest quality.
What specific AI technologies are you experienced with?
Our artificial intelligence development company uses the latest technologies for AI software development. As a Python development company, we leverage a wide range of technologies, from machine learning solutions like TensorFlow and Scikit-Learn, to natural language processing tools like spacy and NLTK.
For larger, more complex problems, our AI developers leverage 3rd party tools and integrate them into products, some examples include automating information extraction from any business document using 3rd party computer vision tools like Super.AI. We have also experience with OpenAI - see our article 7 Proven Ways SaaS Startups Can Leverage GPT3 OpenAI API.
As a data engineering company with inhouse cloud DevOps consulting team we can help you leverage cloud computing platforms such as Amazon Web Services (AWS), Azure, and Google Cloud Platform to develop and deploy your machine learning and AI solutions.
All of these technologies are integrated together to build powerful, reliable, and cost-effective AI solutions.
What are the most common types of AI projects that you have worked on?
At SoftKraft, we have worked on a variety of AI powered tools for clients across different industries. Some of the most common types of AI projects we have worked on include:
- Natural Language Processing (NLP) for text and voice recognition applications
- Computer vision for facial recognition, object detection, and image classification
- Information extraction from PDF documents process automation
- Big Data predictive analytics and visualization
- Financial forecasting with AI and machine learning
If you have a product or business idea and want to leverage AI to build it, reach out. We would be happy to assess what AI tools can be leveraged to bring your vision to life.
How do you ensure the quality and reliability of your AI solutions?
To ensure the quality and reliability of our AI solutions, our AI development team adheres to the following best practices:
- We follow a rigorous software development process that includes requirements gathering, design and architecture, coding, testing, and deployment.
- We use industry-leading technologies, frameworks, and tools to ensure quality and reliability.
- We use automated tests to ensure that our software works as expected in all scenarios, and we also use manual testing to make sure that the user experience is consistent and meets our standards.
- We track and monitor the performance of our AI solutions to ensure that they are performing as expected and are meeting the desired standards.
- Our custom solutions undergo a comprehensive security audit to ensure that they are secure and compliant with industry standards.
What is the typical timeline for an AI development project?
The timeline for custom AI development depends on the scope and complexity of the project. Because we provide a wide range of AI services, it’s hard to provide a concrete answer.
However, generally speaking, project development takes around 4-6 weeks to complete from start to finish. This includes the initial project scope assessment, design and development, implementation, and testing. However, more complex projects can take up to 12 weeks or more.
We will work with you to assess your project’s requirements and provide you with a detailed cost and timeline estimate. Contact us for a quote.
How much do your AI development services cost?
At SoftKraft, the cost of our artificial intelligence development services depends on the project scope. We offer a range of services and customized solutions that are tailored to meet the specific needs of each client.
If you would like to get an AI software development cost estimation, please contact us and our team will be happy to assist you.
What affects the success of a custom AI or machine learning project?
The success of any AI or machine learning project is significantly influenced by several critical factors, including:
1. Current data capabilities
Successful AI projects hinge on access to a high volume of quality data. Ensure you have ample, diverse data types to train AI models effectively. Data should be easily accessible to authorized parties, with structures in place that support efficient retrieval and analysis.
2. Infrastructure
For AI systems to be implemented and function optimally, having the appropriate technological infrastructure is crucial. When you work with our team, we’ll help you choose the right cloud hosting providers and AI services that are most suitable for your business model, existing tech stack, and long-term AI goals.
3. Organizational AI maturity
Your company's experience and proficiency with AI will dictate the pace and success of AI adoption. The backing of your business leaders such as your chief information officer and CTO is crucial for navigating an AI transformation effectively. Additionally, fostering a culture that is open to change and innovation is equally important for integrating AI into your business operations effectively.
If you have questions about any of these key areas, reach out to our team. We’ll be happy to provide a consultation to ensure your team is prepared to undertake custom AI solution development.
What should I do before I hire an AI development company?
There are many AI companies offering a wide range of services. Before you hire an AI company, you should assess your specific business needs. This will help you narrow down your options and find a company that offers what you are looking for.
Are you looking for consultation services to help you plan your AI solution development, assess various AI algorithms or machine learning models, or even implement a data science strategy? Or are you looking for a team to build an AI-powered software product? Or maybe you’re looking to hire AI engineers or data science experts through a staff augmentation model? Regardless, you should be very clear on what you are looking for, so you can find companies that align with your needs.
Once you’ve selected an AI company, you should work with them to draw up a formal SOW. An SOW will help to:
- Ensure that all parties involved in the project understand and agree on the work that needs to be completed
- Provide clarity on the project's objectives and deliverables
- Establish expectations for the project timeline, budget, and resources
- Define the roles and responsibilities of each party involved in the project
- Document the agreed-upon processes and procedures for the project
You can use an SOW template to speed up the process and ensure everything is well-documented.
Read More: How to Choose a Software Development Company in 10 Steps
