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Smart interactions at scale
Apriorit builds secure, custom AI chatbots that streamline workflows, cut manual tasks, and enhance user interactions. From model selection and fine-tuning to integration and support, our team handles the full development cycle.
With hands-on experience across 15+ LLMs and strong API development skills, we ensure your chatbot fits seamlessly into existing systems.
Security is baked into every stage of development. We follow secure SDLC practices and deliver GDPR- and AI Act-compliant solutions that protect user data and minimize risks.
20+
years in cybersecurity
15+
LLMs we have worked with
4
weeks
for an AI chatbot POC
100%
compliance
with GDPR, HIPAA, and AI Act
AI chatbot development services for your business
Access a wide range of services under one roof thanks to Apriorit’s rare combination of expertise.
Types of AI chatbots we deliver
AI agents
Handle complex, multi-step tasks to streamline operations and reduce manual workloads.
Text chatbots
Engage users in real time with instant, accurate, and personalized responses via web or mobile interfaces.
Custom Copilot plugins
Extend Microsoft Copilot capabilities by aligning Copilot with your internal workflows.
Custom GPT chatbots
Align fine-tuned GPT models with your data, tone, and compliance needs for high-quality business communication.
LLM-based chatbots
Leverage large language models to deliver natural, context-aware conversations at scale.
Voice chatbots
Enable hands-free user interaction to reach a wider audience with greater accessibility and convenience.
Internal corporate chatbots
Improve employee efficiency with quick access to policies, tools, and internal knowledge bases.
Multimodal chatbots
Communicate with your customers across text, image, or voice within a single chatbot to deliver richer, more interactive experiences.
Transactional chatbots
Automate purchases, bookings, or account actions for an excellent customer experience.
Learning advisors
Personalize education with AI-guided learning paths and knowledge assessments.
Virtual assistants
Help users manage tasks, schedules, and reminders with context-aware, proactive assistance across platforms.
Looking for something specific?
Let our AI chatbot development company build you an advanced AI bot for any use case and industry. Share your vision and let’s craft your ideal solution!
Apriorit’s custom AI chatbot development tech stack
SaaS LLM:
OpenAI
Claude
Gemini
On-premises LLM:
Llama 3.1, 3.2, 3.3
Gemma 3
Qwen 3
DeepSeek
Keras
PyTorch
TensorFlow
CNNs
RNNs
GANs
NumPy
Pandas
Matplotlib
OpenCV
Scikit-learn
LlamaIndex
LangGraph
PydanticAI
spaCy
Hugging Face Transformers
NLTK
LangChain
CrewAI
AWS AI Services
Azure AI
Google Cloud AI/ML
Vertex AI
Python
C++
C#
Why choose Apriorit as your AI chatbot developer?
01
Multi-layered approach to cybersecurity
We protect your user data and system integrity with nuanced access control, secure APIs, and AI-specific threat assessments.
02
Robust data infrastructure
Our developers and DevOps engineers ensure high-speed data processing and reliable performance with custom-built infrastructure for demanding AI workloads.
03
Well-balanced development team
With Apriorit, you get the right mix of talent and cost-efficiency with teams tailored to your project’s complexity and goals.
04
Transparent workflow
Stay informed at every stage, keep your project on track, and stick to your budget with regular demos, clear reporting, and open communication.
Feel like we might be a match?
Let us build you a balanced, efficient, and secure chatbot solution that will propel your business forward!
Our clients’ success stories
Streamlining Electric Vehicle Charging Support with an AI Chatbot
We helped our client optimize their support operations, improve customer satisfaction, and gain valuable user behavior insights through an AI-powered chatbot.
The chatbot Apriorit created allowed our client to handle a wide range of user queries and deliver fast and accurate responses without any human intervention, allowing them to reduce wait times with 24/7 automated customer support.
Developing an Advanced AI Language Tutor for an Educational Service
The Apriorit team assisted our client in improving their product competitiveness by integrating an AI-powered language tutor into their eLearning platform.
Our chatbot enables interactive language learning by facilitating natural conversations and detecting and explaining mistakes. This personalized approach improved user engagement by 11%, helped to retain current users, and attracted new users.
What our clients
say about us
The most impressive part about Apriorit is their ability to solve complex tasks that involve multiple components, like backend, and API management, and make them work together seamlessly. They also always kept the deadlines and maintained the high quality of their work throughout our collaboration. They asked genuinely insightful questions that helped us understand the business logic better and make the right technology choices. Read more >>
Chief Business Development Officer,
Software Development Co
We started without any experience in the AI space. With their help, we reached a precision rate of 90% and a recall rate of 97%. They developed a platform with a high degree of accuracy. They also communicated well. Their team told us about any potential challenges. When they had them, they tackled them in efficient and effective ways. Apriorit did an amazing job. Read more >>
Founder,
Cycle Clarity
The quality of Apriorit’s work was good. They delivered a working product and helped us deploy it in our infrastructure. Once we put the project live, it was working perfectly. Apriorit delivered the project on time and within our budget. Apriorit’s availability and commitment to making things work stood out. Read more >>
CTO,
Consulting Firm
Our AI CHATBOT development workflow
01
Project discovery
- Defining the chatbot’s business goals
- Analyzing the market to assess the chatbot’s competitiveness
- Interviewing stakeholders to gather product requirements
- Preparing project documentation
02
Dataset preparation
- Assessing available datasets for chatbot training
- Collecting, sorting, and annotating records for a custom dataset
- Assessing the dataset’s quality and fairness
03
Training the AI model
- Selecting a suitable generative model
- Customizing the model to fit your particular needs
- Prototyping an initial product to establish performance baselines
- Training the AI model using our custom datasets
04
Iterative development
- Continuously evaluating against validation datasets
- Adjusting the model to improve its performance
- Developing non-AI chatbot functionality
05
Quality assessment
- Ensuring the chatbot fulfills your expectations and works according to product requirements
- Conducting ethical reviews and bias testing to assess the acceptability of the chatbot’s answers
06
Deployment, integration, and maintenance
- Deploying the chatbot to the production environment
- Integrating the AI chatbot into the application or service of your choice
- Collecting feedback and planning chatbot updates
FAQ
How long does it take to develop an AI chatbot?
The development timeline depends on the complexity of your project. A basic AI chatbot can be delivered in as little as one month, while more advanced solutions typically require three months or longer. Before Apriorit experts start development, they thoroughly analyze your requirements and provide you with a full breakdown of features, activities, and their time and cost estimates so you get a complete picture of the project, its timeline, and your schedule.
How many users can an LLM handle simultaneously?
<p>An LLM’s concurrency capacity depends on the chatbot architecture. Key factors include the choice of model (size and efficiency), the deployment setup (cloud vs on-premises), GPU/CPU availability, load balancing mechanisms, and session management strategies. We optimize each of these to ensure your chatbot reliably serves the expected number of users.</p>
By allocating the necessary computing resources and optimizing infrastructure, we make sure your AI chatbot remains responsive and efficient under heavy user loads. Our team continuously monitors and adjusts performance to meet your business demands.
What is your approach for fine-tuning AI to ensure precise answers and avoid hallucinations?
Our AI chatbot development company tailors the model fine-tuning process to your specific accuracy goals. Steps we take include implementing double-check mechanisms like multiple-pass validation and proof-checking to minimize hallucinations. For chatbots that rely on proprietary data, we create a verified knowledge base. When external data is needed, we apply search filters and use trusted sources to avoid misinformation.
How will you ensure that my chatbot aligns with my brand’s personality?
To align your chatbot with your unique brand identity, we tailor prompt design, implement content guardrails, and develop a custom FAQ-based knowledge base. We test the chatbot’s tone and answers using realistic conversation flows and adjust prompts or restrictions as needed to ensure the chatbot communicates in a way that feels natural to your users.
How do you measure an AI chatbot’s performance and efficiency during the development stage?
We combine manual and automated evaluation techniques to assess the quality of your AI chatbot solution. This includes stress testing under high user loads and scenario-based testing with curated question pools. Each chatbot is validated for answer accuracy, relevance, and response speed, ensuring it meets your business and technical expectations before release.
How do you ensure the accuracy and effectiveness of an AI chatbot?
When a user asks an out-of-the-box AI chatbot something it doesn’t know, the chatbot can hallucinate instead of admitting to a gap in its knowledge. At Apriorit, we <a href=/dev-blog/context-aware-chatbot-development>prevent hallucination</a> in several ways:
<ul class=apriorit-list-markers-green>
<li>Enhancing the LLM’s memory so it can remember the current conversation</li>
<li>Extending the chatbot’s knowledge base with records about the client’s business, products, services, etc.</li>
<li>Fine-tuning the AI model to make it consume fewer resources when generating answers</li>
<li>Testing the chatbot’s responses to unexpected prompts before release</li>
</ul>
What is your approach to AI chatbot design and user experience?
At Apriorit, we cultivate <a href=/rd-services/ui-ux-design-services>UI/UX design</a> skills alongside software and business development. When tasked with designing an AI chatbot, we focus on creating intuitive and user-friendly chatbot interfaces that enhance the overall user experience. We prioritize user-centric design principles and conduct thorough usability testing to ensure that the chatbot meets users’ needs and expectations.
How can I prepare a dataset for AI chatbot training?
<p>Creating a custom training dataset during AI chatbot development improves the accuracy and efficiency of the final product. This process is challenging for any company, but it’s completely doable with the help of AI development experts.</p>
Apriorit developers recommend following these best practices to create a custom dataset:
<ul class=apriorit-list-markers-green>
<li>Determine the AI chatbot’s purpose and desired capabilities</li>
<li>Collect relevant data</li>
<li>Eradicate possible data bias</li>
<li>Categorize and annotate records</li>
<li>Test the dataset</li>
<li>Update the dataset regularly</li>
</ul>
Also, we can assist you in creating your custom dataset that will minimize the risk of hallucinations and other dataset-related issues.
How can I ensure security and data privacy of AI-powered chatbots?
<p>It’s impossible to completely secure your data when working with an AI chatbot developed by a third party since you need to send your data to their servers. Also, it’s unclear whether third parties retain data they receive from their clients.</p>
Creating a custom AI chatbot or deploying a commercial model on-premises allows you to implement the following security measures:
<ul class=apriorit-list-markers-green>
<li>Encrypt user data</li>
<li>Anonymize or pseudonymize user data to protect sensitive information</li>
<li>Redact sensitive data and personally identifiable information</li>
<li>Store data in secure environments with access controls and intrusion detection systems</li>
<li>Perform regular audits and compliance checks</li>
</ul>
Can you tune a chatbot to provide or not provide certain information based on user permissions?
<p>Since AI-powered chatbots can be trained on a huge set of sensitive data, they need to be able to recognize user roles or job titles to avoid oversharing.</p>
<p>At Apriorit, we address this risk by customizing chatbot behavior and implementing role-based access control mechanisms. They allow security officers to create user roles and groups with different security permission levels. This way, a chatbot can share sensitive information with a user only if this user has a corresponding role.</p>
For example, a chatbot might provide financial information only to accountants.
Can you integrate a chatbot with our existing systems and platforms?
<p>Yes, we specialize in integrating AI chatbots with various systems and platforms.</p>
Apriorit developers have expertise in API integration, ensuring smooth communication between a chatbot and other systems. We can add an AI chatbot to your web or mobile application, SaaS solution, or enterprise system (CMS, <a href=/dev-blog/391-how-to-build-saas-crm>CRM</a>, <a href=/dev-blog/389-saas-hr-development>HRMS</a>, or any other type of product).
Which factors impact the cost of AI chatbot development?
The cost of AI chatbot services depends on your requirements and expectations of the product itself, your development budget, and your expected delivery dates. Here are the key factors that influence the cost:
<ul class=apriorit-list-markers-green>
<li>Chatbot complexity</li>
<li>Natural language processing capabilities</li>
<li>Required integration with existing systems</li>
<li>Number of programming languages used</li>
<li>Degree of customization</li>
<li>Scalability requirements</li>
<li>Security and compliance requirements</li>
</ul>
What level of support and maintenance do you provide after chatbot deployment?
<p>We can offer comprehensive support and maintenance services post-deployment both for our solutions and for your existing product. Apriorit’s software maintenance services can include bug fixing, ongoing monitoring, improvements to a working product, and regular updates.</p>
Ensuring that your AI chatbot gets quality support after the initial release will allow you to keep your product up to date and in line with modern requirements in terms of cybersecurity, usability, and competitiveness.
Tech insights
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