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  • Top 12 AI Chatbot Development Companies (2026) Top 12 AI Chatbot ...

Top 12 AI Chatbot Development Companies (2026)

Platon Tsybulskii
Platon Tsybulskii
January 21, 2026
13 min
Ai Chatbot Development Companies

In 2026, the market of chatbots takes almost 60% of AI tools, so to stand out, you need to choose among AI chatbot development companies and decide which one can deliver custom functions, cutting-edge NLP, seamless integrations. To facilitate the search, we evaluated over 100 firms and crafted a list of top-tier vendors with proven track records.

When you look for an AI chatbot development company, they all look the same on paper, offering interchangeable solutions. To help you solve this paradox, our experts made a comparison of vendors based on their prices, services, team size, and tech stack.

In this roadmap, you will look beyond tech expertise, exploring a chatbot development company that can meet your tailored requirements, ensure effective communication and plan for long-term cooperation.

Table of Contents
  • List of chatbot development companies
    • 1. Limeup
    • 2. Innowise
    • 3. Zedrox
    • 4. Riseapps
    • 5. Springs
    • 6. BotsCrew
    • 7. Uptech
    • 8. Fueled
    • 9. CHI Software
    • 10. Inoxoft
    • 11. BlueLabel
    • 12. Scopic
  • What is an AI chatbot development company?
  • Comparing AI chatbot companies
  • How to select a chatbot development company?
  • How much does an AI chatbot company charge?
  • What to ask when choosing an AI-based chatbot development company?
  • Looking for a chatbot development agency?
  • FAQ (choosing & comparing)

List of chatbot development companies

Limeup

Limeup

Founded: 2017

Headquarters: London, United Kingdom

Our team at Limeup provides AI chatbot development services in Python, TensorFlow, and PyTorch, and cloud-based platforms such as AWS and Google Cloud. We are proficient in engineering scalable NLP and machine learning solutions with smooth integration with CRM/ERP systems.

telephone 1 BOOK A CALLwith us, and let’s discuss your project.

Specializing in a plethora of niches, we understand compliance requirements like HIPAA and complex business workflows that require custom-designed chatbots for real operational challenges.

Key services:

  • AI Development
  • Custom Software Development
  • Web Development and Design
  • Mobile App Development

Industries:

  • Fintech
  • Healthcare
  • Real estate
  • Blockchain
  • Education and many more.
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Why choose us:

We at Limeup value security via encryption, audits, secure coding practices, and strict NDA agreements to ensure GDPR compliance when dealing with third-party AI integration. Across 200+ projects delivered, our middle and senior experts have mastered their capabilities in using artificial intelligence for various tasks.

Need assistance with an AI chatbot project?
Schedule a free consultation with our team to discuss your needs.
Book a call now

Select case studies:

  • YugoKraft turned to Limeup for a brainstorming session, development, and design of a rich-featured platform that would be the ultimate solution for relocating users to easily identify jobs, with one application for multiple offers.
  • Limeup has developed solution for Raccoon.recovery powered by AI, which resulted in better care services with a 40% increase, ability to win a €700,000 grant for future growth, and more.
  • Look at more case studies.

Innowise

Innowise

Founded: 2007

Headquarters: St. Petersburg, FL, USA

Innowise, an enterprise AI chatbot development company, works on solutions functionality that consists of natural language processing, connecting large language models, and the use of retrieval-augmented generation (RAG) architectures.

Key services: Custom software development, AI, IT consulting & advisory, etc.

Industries: Finance, banking, retail, automotive, agriculture, etc.

Why choose them:

The agency is suitable for organizations looking for a partner who can handle large-scale engineering, with extensive workforce capacity. The background suits businesses that need bots that process enterprise data.

Select case studies:

The project portfolio in terms of AI includes cooperations with a dermatological clinic that needed AI-powered diagnostic app, and many others.

Zedrox

Zedrox

Founded: 2017

Headquarters: Goirle, Netherlands

When looking for the best AI chatbot development company, it is advisable to consider Zedrox which creates conversational agents through the utilization of Artificial Intelligence and machine learning, providing a choice of rule-based, AI-powered, and hybrid setups.

Key services: AI development, custom solution, etc.

Industries: eCommerce, restaurants, fintech, etc.

Why choose them:

If you are an organization looking for a multi-service development partner who can provide chatbot functionality as well as web, mobile, or retail work, this provider might just fit you. Its focus on the German market can be relevant for those requiring regional coordination.

Select case studies:

The success stories are described through final impression, what was done, visuals from the solution made.

message Uncover the directory of: Best App Developers in the UK.

Riseapps

Riseapps

Founded: 2016

Headquarters: Tallinn, Estonia

Riseapps is an example of an AI chatbot development firm offering bot creation among a bouquet of deliverables that lean heavily towards healthcare technology and generative AI solutions. Riseapps claims to be interoperable with assorted LLM vendors, including OpenAI, Llama, Mistral, preventing vendor lock-in.

Key services: AI chatbot development, SaaS development, generative AI development, etc.

Industries: Healthcare, telemedicine, fitness & wellness, etc.

Why choose them:

Organizations in healthcare sector or areas with strict regulations might be particularly interested in compliance-oriented development declared by this provider. Moreover, the cooperation model is suitable for businesses that need structured work process.

Select case studies:

AI chatbots are presented — for now — in the project spotlights through works for Black Doctor 24/7, CareHalo, and one startup.

Springs

Springs

Founded: 2016

Headquarters: Vancouver, Canada

Springs is an AI chatbot development agency that identified AI and machine learning as their main strengths, while bot creation is considered to be one of the most important service areas. The chatbot project of the company employs GPT models developed by OpenAI (including GPT-4o), along with NLP.

Key services: Custom software development, software development for startups, regulatory intelligence.

Industries: Pharma & life sciences, food safety, manufacturing.

Why choose them:

Its internal AI products imply that the team has been involved in the practical application of conversational AI not only in client service areas but also in other areas. With the multi-country team setup, it has ability to work with worldwide customers.

Select case studies:

Building AI-powered systems is common for Springs, with project highlights featuring AI agent creation, AI cyber diagnosis platform, and more.

Ready to launch your AI chatbot project?
Share your idea through a free call, and let’s team up.
Contact us now

BotsCrew

Botscrew

Founded: 2016

Headquarters: San Francisco, CA, USA

This chatbot development firm is a dedicated developer of AI agents and chatbots. The firm collaborates with GPT-4o, Llama 3, retrieval-augmented generation (RAG), natural language processing to create specialty dialogue solutions.

Key services: Chatbot reseller, enterprise AI solutions, generative AI.

Industries: Healthcare, custom service, digital agencies.

Why choose them:

To receive the most out of collaboration with BotsCrew, it is worth noting that this vendor is concentrating solely on conversational AI, and not chatbots as just one of the many services, so clients might see this specialization as significant for their requirements.

Select case studies:

When examining case studies, visitors can check projects for Kravet, ARO Effect Marketing, etc.

Uptech

Uptech

Founded: 2016

Headquarters: USA, CA, Los Angeles

AI chatbot developers who have delivered over 25 solutions and have 5 in-house AI products — that’s about Uptech which leverages 3+ years of proficiency with GenAI models. Across the related offers, businesses can apply for custom creation, conversational design, integration, maintenance and more.

Key services: AI chatbot development, mobile app development, engineering, et.c

Industries: Healthcare, telemedicine, neobanking, crypto, insurance, etc.

Why choose them:

Uptech is suitable for companies in various markets, needing help with customer support, property listing, telehealth support, and other business issues that can be solved with AI. Its assertion of a proof-of-concept approach plus an emphasis on product discovery might be conducive to the corporations that are doing their early validations.

Select case studies:

Uptech operates across organizations that offer investment capabilities, marketing platform which can be reviewed in the portfolio of works.

Fueled

Fueled

Founded: 2007

Headquarters: New York, NY, USA

Consulting, implementation, integration, and workflow automation, as well as working with large language models, are part of deliverables from this AI chatbot app development company, although these skills are part of an overall digital product creation practice rather than being limited to bots only.

Key services: AI consulting, full stack engineering, etc.

Industries: Media, public sector, healthcare, etc.

Why choose them:

Justin Livesay, the CEO, is leading the agency with a strong team of over 300 specialists who are proficient in leveraging AI for better solutions. Fueled is familiar with many niches, handling documentation, accessibility, compliance, other factors.

Select case studies:

The catalog of works displays projects for Sakara, 9GAG, POLITICO Europe and more.

CHI Software

Chi Software

Founded: 2006

Headquarters: Limassol, Cyprus

Generative AI chatbot development company with 80 AI experts, called CHI Software, delivers cross-domain expertise with end-to-end creation. Businesses can reach out to new opportunities through machine learning, computer vision, NLP, signal processing etc.

Key services: Chatbot development, generative AI development, etc.

Industries: Healthcare, fintech, logistics, etc.

Why choose them:

CHI Software has robust technology stack which allows it to cover solutions of various complexity and stages, fine-tune program. The firm suits best for customers who seek collaborative approach with constant updates and feedback, enhanced communication.

Select case studies:

Generative AI is presented in the case studies: modernization of a financial planning software, LLM-powered platform creation, and others.

message See the review of: Top Software Companies in the UK.

Inoxoft

Inoxoft

Founded: 2014

Headquarters: Philadelphia, PA, USA

Being a custom AI chatbot development company, it integrates the engineering of conversational AI systems, voice assistants, and LLM-based solutions. The firm’s technology strategy entails the implementation of natural language processing, machine learning model optimization, and connecting with business systems.

Key services: AI chatbot development, AI agent development, web development, etc.

Industries: Healthcare, education, real estate, blockchain, etc.

Why choose them:

Firms that want their chatbots to be integrated with the current infrastructure will appreciate the possibility of integrating the chatbot with enterprise systems (CRM, ERP). The key point to be considered by the managers is that this is a full-cycle software company and not a conversational AI expert, which has an impact on considerations of depth versus breadth.

Select case studies:

Checking the projects scope, visitors can review projects for Gurru, Vibb, Synergy3dMed and many others.

BlueLabel

Bluelabel

Founded: 2009

Headquarters: New York, NY, USA

BlueLabel is a user-centric firm with a remote-first approach and over 100 team members who make this qualified company AI chatbot development. They accept challenging projects, can make decision fastly, implement new technologies and reach higher results.

Key services: Conversational AI, AI strategy development, data engineering, etc.

Industries: Fintech, real estate, etc.

Why choose them:

BlueLabel can not only deliver AI-based bot but also develop strategy, agent, RAG-based solutions, and more. The work approach behind this crew stands for advanced technologies, bold metrics.

Select case studies:

AI, here, is represented through initiatives in recent works, like for B.O.S.S. Retirement Solutions, Mapline.ai, etc.

Scopic

Scopic

Founded: 2006

Headquarters: Marlborough, MA, USA

Scopic offers AI chatbot solutions across not only the engineering but consulting, ChatGPT integration, functions enhancement and more. Customers of this vendor can receive AI voice assistant, the ones that can handle transactions, custom systems for various purposes.

Key services: AI development, software development, AI consulting, etc.

Industries: AI, automotive, biotech, eCommerce, etc.

Why choose them:

Scopic proves that automating and other deliverables that can be achieved by AI bring better users engagement, streamlined support, end-users satisfaction. The studio is also a partner of AWS, Google Cloud.

Select case studies:

In projects highlights, visitors can check projects across technologies, niches, services delivered, which is convenient.

What is an AI chatbot development company?

A development company for AI chatbots creates intelligent chatbots that have the capability to understand context, learn from conversations, perform complex inquiries without human assistance.

Unlike traditional rule-based chatbots that communicate through decision tree scripts, AI-powered chatbots employ natural language processing (NLP), natural language understanding (NLU), and machine learning models such as large language models and intent classification.

Key Features

Their applications range from product discovery to using cases, conversation design, model development, system implementation to continuous improvement. The business expects an AI software development company to deliver results in terms of lowered business costs, automated business processes, and quick customer service response times.

Key chatbot development services provided

What full-service providers of AI chatbots offer is end-to-end functionality in the form of consulting/requirements analysis, conversational UX design, as well as the development of NLP/NLU models.

These firms also undertake the integration as well as the fine-tuning of LLMs, apart from developing multilingual and omnichannel solutions for the web, mobile, as well as messaging platforms.

When it comes to the best AI chatbot development companies, they also handle critical points of security for data, compliance implementation, performance testing, analytics configuration, ongoing maintenance.

AI chatbot use cases by industry

To make a strategic decision about a tech partner, it is advisable to learn about how directly various markets use these AI-powered assistants in their operations.

  • eCommerce and retail: automating customer support for 24/7 response to common questions, delivering personalized recommendations, managing orders.
  • Healthcare: facilitating appointments (and rescheduling), advanced analytics for symptom pre-screening, admin work automation.
  • Finance: supporting customer onboarding, account inquiries, client support with common issues.
  • SaaS and B2B: in-app guidance, end-user onboarding, tech support.
  • Logistics and transportation: shipment tracking, notifications about status, support for operations.

The statistics say that 38% of executives improved customer experience and retention with AI tools, and it can be adopted for every niche. As you know the nuances of real-world cases across multiple industries and can make defensible decision, let’s move to the comparison of experienced AI chatbot engineers we selected for you.

Comparing AI chatbot companies

Finding the right partner for AI chatbot creation means going beyond the marketing hype and the list of features. The provider you choose will determine not only the performance of your chatbot solution but also the scalability, compliance, and ROI you can achieve.

Good evaluation requires knowledge of what really leads to success in a project: how well it can deliver the work, communicate, address your particular business needs. Let’s jump right into the evaluation of every vendor from the list above so that you can hire an AI developer.

Team size

AI chatbot development agencies have open information about their crews so that you can ensure their capacity to deliver and sustain AI solutions on time. Here is a short explanation that will help you to define which of the top-tier vendors may suit you best:

  • Boutiques (up to 50 experts) often bring more streamlined communication and 100% dedication to your needs.
  • Middles (50–250) are the balanced ones, maintaining complex projects with dynamic, working with businesses of all sizes.
  • Enterprises (250+) are able to run parallel projects which can cause less attention, but they are capable of handling the most challenging and complex tech partnerships.
Team Size

Hourly rates

Estimating price for AI software development is required for better budget control and aligning your expectations with what a provider can deliver. Our experts placed rough hourly rates gathered from Clutch, and it is preferable to check the cost from an AI chatbot development vendor you consider as a partner.

Hourly Rates

Client reviews

When opting for top AI chatbot development companies, testimonials and online rates will provide perspective you can not meet in information on websites. You can see the rates we took from Clutch, where you can also check detailed reviews.

Be sure to pay attention to feedback regarding the quality of communication, the level of response during challenging times, the level of post-launch support, meeting deadlines and so on. These are the types of issues that can easily separate a technically competent provider from one who can deliver satisfactory work.

Client Reviews

Target client size

Learning about which type of clients a vendor usually deals with helps you understand if they are able to deliver what you need. Vendors who target startups and small-medium companies often stress speed, cost-effectiveness, and simple installations.

Enterprise suppliers come with strong infrastructure, a compliance structure, account management services. Selecting a suitable dedicated AI chatbot development team, you will avoid cumbersome cooperation and a lack of alignment.

Target Client Size

Selecting an AI-based chatbot development partner requires more than just comparisons of features and the lowest price point.

Each of the evaluation points described above is linked to actual outcomes, including the quality of the team that impacts the quality of the final product, the pricing plan that affects the overall costs, the reviews from current clients that point towards reliability, and the desired client size that impacts the culture fit.

How to select a chatbot development company?

Selecting a custom software development company to help you build a chatbot is an important decision, one that will impact not only your current project but future ones as well. It will determine how easily your users will adapt to your solution, if you will be able to see a return on investment, whether your system will grow with business.

Below, you will find the pre-determined and battle-tested steps to take to choose a reliable vendor.

Selecting Chatbot Development Company

Custom AI chatbot development capabilities

Pre-built templates for chatbots can be applied for general purposes but will hardly be able to meet the complex workflow needs that most organizations have. When assessing a development partner for your needs, it’s essential to look at their ability to engineer a chatbot from scratch.

Let’s consider an example: a fintech company needs an AI-centred chatbot to enhance user support, provide 24/7 assistance. They have to build a tailored system that reflects on their unique communication style, can handle critical situations, make follow-up questions. Off-the-shelf chatbot will rarely meet requirements and result in reduced user engagement.

AI and LLM expertise for chatbot solutions

True expertise in AI is the key that distinguishes successful from frustrating chatbots. You should look for experience with natural language processing and understanding, especially intent recognition that is capable of dealing with variations of wording, typos, regional variations of language.

Seasoned crews are aware of techniques for prompt engineering that produce reliable responses, techniques for fine-tuning domain accuracy, and guardrails that prevent the generation of inappropriate responses. Here are the core competencies to evaluate:

  • Hands-on experience with NLP, recognition systems.
  • Models fine-tuning and prompt engineering capabilities.
  • Clear explanation of technologies used here.

Integration with existing business systems

If you need limitless usage of the chatbot through integrations with complex systems, ensure that you hire a software engineer who has a reliable skill set.

Assess integration background with platforms that form a key part of what your operations stand for. This is likely to include a customer relationship management platform (CRM), enterprise resource planning platform (ERP), a helpdesk solution, and an analytics platform. A firm that adopts an API-first methodology is one that thinks about connectivity from the very start.

It is preferable to ensure that chatbots development companies you choose amidst can deliver the advantage of integration called “real-time data access” for more personalization and accurate responses that prevent misunderstanding.

Conversation quality

Technical sophistication will mean little if users find it frustrating to interact with the system. Conversation quality refers to the naturalness of communication, the system’s ability to maintain a conversation through a sequence of messages, and the system’s handling of errors during conversation.

Let’s consider what determines a suitable agency in terms of this comparison point:

Quality factor

Points

Red flags

Natural response

  • Context-aware replies
  • Human-like flow
  • Robotic phrases

Error handling

  • Smooth fallbacks
  • Clear escalation to human agent
  • Dead-end conversations

Branding

  • Matched tone of voice
  • Generic sentences

Multilingual support

  • Accurate localization
  • Direct, dry translation

Good chatbots know how to recognize the point at which they cannot provide an adequate answer to the question and switch the user to a customer service representative or other resource without creating a negative experience.

It is essential since 57% of experts who work in customer support stated that AI helped with personalized CX (customer experience). Based on our background, it is also about understanding their pain points, expectations which are crucial for engagement.

Continuous improvement is necessary for quality enhancement. Review how the firm conducts conversation testing, what types of analytics it offers for problematic conversations, and if it uses human evaluation.

Post-launch support and scalability

The point of deployment is where the life cycle of a chatbot starts. Ongoing observations provide insights into patterns of performance, evolving user pain points, etc. The top-tier chatbot development firms offer the following services through ongoing maintenance:

  • Retraining AI with new patterns for effective communication
  • Improving response times and clarity
  • Scaling up to handle more users in peak hours

The choice of an AI chatbot development partner is an investment in strategy, not a purchase order. When selecting a chatbot development company, it is important that you focus on customization, artificial intelligence, integration, and conversation quality.

These are some of the vital determinants of whether you end up with a chatbot that is an asset or a liability.

How much does an AI chatbot company charge?

If you have already begun looking into AI chatbot creation, you have probably noticed one frustrating thing right away: no one seems to have a clear answer about costs. It’s not because they are trying to hide information but because chatbot costs can vary widely based on what you are trying to develop.

It differs from the website development cost or an app creation which you may know, so let’s consider how and why. Here, you can check the prices according to the complexity:

  • Off-the-shelf chatbots: since they don’t require any coding, they can cost $50–$500 per month and function as a basic solution with no or limited customization.
  • Custom chatbot engineering: it involves developing a platform from scratch and costs more, ranging from $10,000 to $80,000.
  • Enterprise-level chatbots: these types typically need complex third-party integrations and advanced language models to serve large operations, so the price goes from $100,000 and beyond.

To define the final price, you can contact a chatbot development company and ask for a custom quote (which can be free), where you will discuss your tech requirements and be able to estimate the budget.

Cost of hiring chatbot developers

The team composition matters for budgeting since you can receive high-quality expertise from a balanced team, like Limeup has, where middle and senior engineers work together. On the other hand, if you need a simple system that answers frequently asked questions, even one programmer can do it.

Here is the table that describes common hourly rates for experts according to their years of experience:

Role (years)

Rate

Best for

Junior coder (0–2)

$25–$50

Basic chatbots

Middle developer (2–5)

$50–$90

Multi-platform bots

Senior (5+)

$90–$150

Complex architecture and team leadership

When considering the cost for chatbot solution companies, it is worth recommending to include the cost for quality assurance, like 15–20%, project management also adds 10–15%, as well as ongoing monthly payments for cloud hosting.

Factors affecting chatbot development cost

Understimating the price drivers can lead you to budget overrun, so let’s prevent it and learn the nitty-gritty behind what affects the final cost:

Factors Affecting Chatbot Development Cost
  • Complexity and use case count. Each extra function for your chatbot adds to the cost of coding, designing, testing, and more.
  • The level of NLP. Bots that have to work only with keywords are the cheapest ones, but if you need, for instance, intent recognition, understanding of the context mid-conversation, it costs more.
  • Security requirements. For example, if a client needs a chatbot for healthcare organization, it has to meet HIPAA compliance. In the case of the fintech industry, when a bot has to be integrated during AI app development, it is about SOC 2 certification.

Most businesses low-ball the cost of chatbots by measuring the cost of development alone. A more accurate way to calculate the cost would include the cost of development, deployment, creation of the data sets for training, onboarding, as well as the cost of optimization for at least six months.

When it comes to AI chatbot providers, it is important to consider companies that have insightful inquiries about your business objectives rather than companies that immediately focus on technology. It is important to have a partner that assists you in developing what you need rather than the best technology they have to offer.

What to ask when choosing an AI-based chatbot development company?

The questions you ask during the evaluation process determine if you are left with a functional AI assistant or costly experiment that never brings you any results and some predictable ways: chatbots that misinterpret simple queries, inability to handle high traffic during peak periods, designs that trap you with one vendor.

Let’s avoid it with the quiz our experts prepared based on their experience, so that you can hire a dedicated programmer.

What To Ask When Choosing Company

Technology and AI capabilities

Chatbot software companies that have impressive еуср language without the skills to back it up. It is essential for you to understand what drives their solutions and whether their technical approach is what you are requiring.

  • Which AI tools and frameworks do you use?

Ask them about their large language models, natural language processing engines, and machine learning processes. A good partner will be able to articulate their reasoning about which approaches to take, rather than mumbling about their “proprietary AI” solutions.

  • How do you ensure conversation quality and context retention?

There is a difference between a helpful chatbot and a frustrating one that depends on its ability to understand a user’s true intent. Be sure to ask for examples of how they have measured success in these areas.

  • How do you train these solutions and improve them post-launch?

The initial launch is only the starting point. Better chatbots are engineered and optimized over time. You can ask about their process for finding areas for improvement and optimizing their models.

Experience with similar projects

If you need a chatbot that works within an application, you need to ensure that you are about to hire app programmers who have worked on the related solutions. Here are a few questions to ask your candidates to ensure they match your needs.

  • Do you have AI chatbot delivery experience in our industry or a similar industry?

Niche-specific knowledge speeds up development. Consider chatbot development agencies that have healthcare compliance expertise. They have industry-specific knowledge that a general vendor would have to gain during your project.

  • Can you provide some case studies with quantifiable results?

You should look for specific data points such as percentage reductions in support tickets, improvements in customer satisfaction, or cost savings. Statements about improving efficiency that are not quantifiable should be considered red flags.

  • Can you supply client references? Do you have their contacts if I want to talk to them?

Talking one-on-one with former clients can be very enlightening. Ask for information about communication quality and problem resolution when requesting a reference. Also ask if they would continue cooperation with this provider.

Security and compliance

Functionality is inconsequential when the chatbot puts your business’s data at risk of breaches or legal issues. Security and compliance issues must receive the same level of attention as other aspects when discussing the bot’s functionality.

  • How does your chatbot handle issues related to data privacy, storage, encryption?

It is essential to understand where the customer’s data is and how it is transferred between various systems and the measures in place to protect it in each case, particularly when sensitive information is involved.

  • Is your developed chatbot compliant with regulations?

You may be dealing with a certain industry and region that has regulations such as GDPR, HIPAA, and PCI DSS. You should not only ask for compliance but for proof of compliance.

  • How is sensitive information processed when third-party AI services are utilized?

For example, if your solution utilizes third-party APIs, your user information may be transmitted to systems not under your immediate control. Be sure to understand what information is transmitted to these providers.

A good partner for building an AI chatbot must have strong expertise in all three areas: technical expertise to build a chatbot, experience to deliver measurable results in similar projects, focus on security and compliance. Time and cost are important factors to consider when searching for a tech candidate.

Looking for a chatbot development agency?

The landscape of engineering chatbots for businesses is evolving rapidly, with over 900 million people using AI-powered chatbots regularly according to Exploding Topics. To create a solution that will be in demand, you need to choose a reliable intelligent chatbot development company with fast time-to-value.

Whether you are a startup owner, a small-to-medium firm or enterprise representative, you can benefit from this cooperation. After reading our article, you are armed with the list of pre-selected providers, explanation of the selection process, prices, what affects the cost, and even questions for the initial interview.

If you would like to jump into the cooperation with a trustworthy tech partner who offers not only chatbot building but ongoing support, consider contacting Limeup. We will discuss your precise needs and discuss how we can design the chatbot that will scale up with your business.

FAQ (choosing & comparing)

How long does AI chatbot development usually take?

AI chatbot development specialists define the following timeframes: for a simple one, it takes 2–3 weeks, while custom solutions require 3–6 months and if you need a large, complex chatbot, expect it to consume 4–12+ months.

Can AI chatbots be integrated with legacy or custom systems?

Yes, they are common for enterprise-grade projects where users need to use one unified system instead of running between multiple platforms. With the help of APIs, chatbots are connected to an ERP, CRM, Salesforce, Microsoft Dynamics, or other system.

What technologies are used by AI chatbot development companies?

A layered tech stack is the core priority for a reliable chatbot solution provider. Here are some of the technologies implemented:

  • Foundation models (LLMS)
  • NLP & chatbot platforms
  • Machine learning frameworks
  • Back-end infrastructure with Python

What are the most common mistakes when hiring AI chatbot developers?

Here are the 5 issues that can appear when a business tries to choose an AI chatbot development provider:

  1. Ignoring proven delivery
  2. Not checking domain expertise
  3. Underestimating security
  4. Not setting clear success metrics
  5. Looking just for the lowest price

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Platon Tsybulskii 1
Written by
Platon Tsybulskii
Technical Director at Limeup

Platon is an engineering and product leader with 10 years of shaping agile tech companies from strategy to execution to create better software products.

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Limeup is a global application and software development company working with startups and enterprises worldwide.

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