AI Agents Development

Can you help project manage my AI agent development project?

Yes, absolutely! Our AI agent development company is fully staffed with experienced Engineering Managers and AI developers to 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 customer focused services are designed to help everything stay on track, so you don’t have to worry about a thing.

How do you ensure quality control when developing custom AI agents?

Software development is a complex process, and quality control is essential for successful delivery of every machine learning or artificial intelligence project. As a professional artificial intelligence development company, 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 of each AI developer, and identify potential issues in advance.
• We monitor and assess the quality of the software produced by each artificial intelligence developer 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 standards.
• We use a variety of tools and techniques to ensure that the AI agents are 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 artificial intelligence agent. This includes test cases design, automated 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 agent technologies are you experienced with?

Our primary expertise is in leveraging industry-leading framework LangGraph to build sophisticated, model-agnostic AI agents. This approach allows us to compose complex agentic workflows and ground them in specific data sources effectively. At the core of these agents, we are proficient with a wide range of Large Language Models (LLMs), from leading proprietary options from OpenAI, Anthropic and xAI, to powerful open-source alternatives such as Llama. Our strategy is to select the optimal model based on your specific requirements for performance, context length, cost-efficiency, and data privacy, including fine-tuning open-source models for highly specialized tasks.

An agent's true power lies in its ability to interact with unique data and execute real-world actions. We specialize in implementing robust Retrieval-Augmented Generation (RAG) architectures, enabling agents to reason over your private knowledge bases. This involves extensive hands-on experience with vector databases like Pinecone, Weaviate, and Chroma, as well as leveraging PostgreSQL with the pgvector extension for existing infrastructures. Furthermore, we architect agents with "tool use" capabilities, allowing them to interact with external systems by securely integrating with your private databases, REST APIs, and other third-party software to perform meaningful, multi-step tasks.

Ultimately, we treat agent development as a rigorous software engineering discipline focused on reliability and performance. We emphasize a test-driven development (TDD) approach, creating comprehensive suites of automated tests to validate an agent's behavior, ensuring its actions are both consistent and adaptable to dynamic conditions. For deployment, our experience covers containerization with Docker and orchestration with Kubernetes, hosted on major cloud platforms like AWS, Google Cloud, and Azure. This comprehensive approach ensures that we deliver not just innovative prototypes, but robust, scalable, and production-ready AI agents that provide predictable business value.

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 for the cost of our services, please contact us and our team will be happy to assist you.

What should I do before I hire an artificial intelligence 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 an AI engineer or data scientist 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.

• If you’re including your SOW as part of an RFP, use the Scope of Work Template (RFP)
• If you’re including your SOW as an appendix to a contract with a software development vendor, use the Scope of Work Template (Vendor Contract Appendix)

Read More: How to Choose a Software Development Company in 10 Steps