Development
Custom AI agent development
An AI agent is a virtual assistant that performs tasks usually requiring human intelligence. We can develop a custom AI agent and integrate it into your working environments to help you automate your business tasks.
How autonomous AI agents work
Gathering information
The AI agent gathers data from its environment — it can include different apps and databases. The data could be text, images, sounds, or any input relevant to its task.
Processing
Next, the custom AI agent analyzes the data. It uses machine learning algorithms and AI models to make sense of what it observes. This step involves understanding patterns and drawing insights.
Decision-making
Based on its analysis, the AI agent decides on the best action. It aims to achieve the goal set by developers.
Action
Finally, the agent takes action. It can be sending a message, updating information, or adjusting settings. Its actions aim to resolve problems or improve user experience.
Types of custom AI agents we can create
Reactive AI agents
They don’t have memory and cannot learn from past experiences. Instead, they respond to current inputs in real time. Such custom agents can be used for basic customer support and smart home apps where tasks are routine and conditions are predictable.
Limited memory AI agents
These agents have a memory to store past information and use it to inform current decisions. Apps like e-commerce and streaming platforms can use limited memory AI to track users' past behavior and preferences, providing personalized recommendations.
Utility-based AI agents
These agents make decisions based on a utility function, which measures the good or bad outcomes of a decision. They strive to maximize utility by weighing the pros and cons of different actions.
AI workflow automation agents
These agents automate sequences of tasks, passing data between models to achieve a final result. For example, the first model gathers and formats data as needed, then hands it off to a more complex model which processes it further to create content or perform another specified action, continuing until the desired outcome is achieved.
Goal-based AI agents
Instead of simply reacting to an input, these custom AI agents consider the desired outcome and make decisions that best fulfill their objectives. They work well in strategic apps, such as logistics or gaming, where they evaluate multiple strategies to select the optimal one.
Learning AI agents
These agents can learn from their experiences and improve over time. They have components that allow them to explore, learn, and adapt. Machine learning models, such as those used in image recognition, function as learning agents.
Multi-agent systems
These systems have multiple AI agents working together, often with different tasks. They are effective in complex scenarios like traffic management or supply chain operations.
Apps that can be integrated with AI agents
Content Management Systems (CMS)
AI tools can be integrated into CMS platforms to automate content creation, optimize SEO, and personalize user experiences. We can integrate pre-built AI agents into platforms like Wordpress, HubSpot, Drupal, Joomla, etc.
Task managers
Integrating AI with task management apps like ClickUp, Trello, or Asana can help automate routine tasks, prioritize work, and offer insights into time management. Artificial intelligence can also analyze workflows to suggest more efficient ways to complete tasks.
Model Context Protocol (MCP) servers
MCP servers can share data sources like files, databases, tools, and API integrations, letting AI assistants get real-time information securely. We can integrate custom AI agents with MCP servers to help you automate tasks and make operations more efficient.
Databases
AI agent development can simplify database management by automating data entry, cleaning, and analysis. An effective AI agent can identify patterns or anomalies in large datasets, helping businesses make better decisions.
Customer Relationship Management (CRM)
Custom AI agents can improve CRM systems like Salesforce, Zoho, and HubSpot by providing predictive analytics, automating customer interactions, and offering personalized recommendations based on customer data.
E-commerce platforms
E-commerce platforms like Shopify, Squarespace, and WooCommerce can also benefit from AI technology — agents can personalize product recommendations, optimize prices, and improve inventory management. An AI solution can analyze customer behavior to improve marketing strategies and increase conversion rates.
Communication tools
Platforms like email services or messaging apps can integrate AI to filter spam, categorize messages, and automate replies with a chatbot. An autonomous AI agent can also help schedule meetings and manage contacts efficiently.
Social media management tools
AI agent development can help automate content posting, analyze engagement metrics, and provide insights into brand perception with sentiment analysis.
AI models that we can use for building AI agents:
GPT3, GPT4, Dalle
Claude
Llama
Gemini
Grok
DeepSeek
Mistral
BERT
and others
Features of custom AI agents
As a software development company, we can develop any features that your business requires. Here are some of the common AI capabilities agents can have:
Natural Language Processing (NLP)
Ability to understand and generate human language. Supports features like text comprehension, sentiment analysis, and language translation.
Image and video recognition
Custom AI agents can identify objects, people, and scenes in images or videos, which is useful in surveillance, content tagging, and augmented reality.
Learning
Employing machine learning algorithms to improve performance over time based on new data and experiences.
Decision making
Using algorithms and data analysis to make informed decisions and solve complex problems.
Contextual understanding
Understanding the context of interactions and adapting responses or actions accordingly.
Multi-modal interaction
Integrating different types of data — text, voice, visual — to improve interactions.
Personalization
Offering personalized recommendations and interactions based on user preferences and behaviors.
Task automation
Automating repetitive and mundane tasks, freeing up human resources. An AI solution can run on a schedule — for example, every weekday at 11 am.
Security and privacy management
An intelligent AI agent can protect user data and ensure secure interactions, such as authentication and encryption.
Predictive analytics
Analyzing data to predict trends, behaviors, or outcomes.
Speech recognition and synthesis
Converting spoken language into text and generating speech from text.
Our AI agent development process
As an AI agent development company, we cover everything from analytics to development and release. Usually, building custom AI agents requires these steps:
- 1
Analytics
We start by analyzing your business needs to outline the project's scope and identify key features to integrate. This step also includes providing you with an estimated cost for the custom AI agent development.
- 2
Planning
Our process is organized into 2-week sprints, allowing us to share progress with you regularly. This approach lets you make adjustments and stay involved in the project as it evolves.
- 3
Development
During development, we use REST APIs for AI agent integration. It helps us make it swiftly and efficiently.
- 4
Support
After release, we offer ongoing support to fix any bugs and ensure stable AI performance. We also implement changes or new features as needed upon your request.
Industries that can benefit from integrating AI agents
Customer service
An AI chatbot can assist with customer inquiries. It provides quick answers, helps solve problems, and offers support 24/7. Many online stores use chatbots to process orders and track deliveries.
Healthcare
AI agents analyze patient data to assist doctors in diagnosing diseases, predicting outbreaks and monitoring patient health. For instance, an AI tool can examine medical images to detect early signs of cancer.
Finance
AI agents conduct risk assessments and detect fraudulent activities. They analyze market trends to aid investment decisions. Banks use AI to offer personalized financial advice based on user behavior.
E-commerce
AI agents recommend products by analyzing customer preferences and buying patterns. Online platforms suggest items you might like based on your browsing history.
Transportation
AI agents are integral to self-driving cars. They help in navigating roads, avoiding obstacles, and ensuring passenger safety. Ride-sharing apps use AI to manage routes and pricing efficiently.
Why choose us for AI agent development?
AI consulting
We support clients in creating custom AI agents and refining their AI strategies. Our team assesses current data infrastructures and develops methods for data integration, collection, and storage. We also validate AI solution feasibility before full-scale implementation and offer advice on various challenges.
Avoiding vendor lock-in
We use popular and open-source technologies when building custom software and integrating AI, allowing businesses to switch vendors easily and save resources if needed.
End-to-end development
We use our technical expertise throughout the development process — from gathering requirements to deploying the application in a custom-built infrastructure. We handle everything, including the design of the interface and provide ongoing maintenance support.
Diverse team of IT experts
Our team includes over 50 engineers with computer science degrees. They bring extensive experience in building AI agents and applying machine learning. We ensure best practices through internships and can adjust team size based on project needs.
Compliance with security regulations
We prioritize security by following regional security laws and standards. Our AI agents use encryption protocols and technologies that align with GDPR, ISO 27001, PCI DSS, and other regulations for your digital product launch.
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