Conversational Virtual Assistant

Automate query resolving, enhance customer experience, and free up human agents for more important tasks with your conversational virtual assistant tool.

Meet Aurora Borea, our chatbot for intelligent customer support

Conversational AI Virtual Assistant: Features

Automate customer support and boost productivity with your virtual assistant solution.

24/7 Personalized Customer Support

  • Handling common queries about the company’s services and products adjusted to the specific client’s request
  • 24/7 availability during festive seasons and hectic times
  • Personalized human-like responses with intelligent virtual assistant customer support
  • Immediate comprehensive response to the query based on the company’s proprietary knowledge base
  • Virtual assistant tool for multilingual support
  • Recommendations concerning the topic generated by ML

Automated Sales Team Support

  • Automated Q&A with customers to free up your human agents for more intelligent and urgent tasks
  • Effective appointment scheduling across time zones
  • Fast data transfer to the sales team via virtual agent software (conversation history and context)
  • Automatic email notifications to the sales team and customer

Appointment Scheduling

  • Back-and-forth communication handling
  • Scheduling tasks across time zones
  • Calendar integration

Easy Integration with CRM

  • Automated data extraction and summarization from conversations
  • Prompt creation of CRM records required
  • Enhanced data precision

Text and Voice Recognition

  • The ability to audio communicate your need
    to a chatbot
  • Fluid and natural customer experience
Develop your virtual assistant business tool today!
Your business needs help with customer support? Contact us, and our engineers will
help you develop an AI virtual assistant software crafted to your needs.

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Benefits of Virtual Assistant

Virtual assistant software development will enable you to delegate non-core tasks to a chatbot and focus on growing your business.
Ready to learn more about chatbot development?

Why Partner with InData Labs?

An engineering team of 80+ using disruptive technologies to build a solution for your needs.
  • Highly Experienced Team

    Strong Expertise

    Masters of AI: engineers with broad experience in AI software development since 2014.
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    Certified Engineers

    Gained recognition in Generative AI development data science, and analytics.
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    Customer-Oriented

    Promoting a positive and customer experience at every step of their journey.
  • Global Experience

    Global Experience

    Developed disruptive solutions that scale for a myriad of companies across the globe.

InData Labs is a certified AWS Partner

As a certified cloud development partner, we build and seamlessly scale our clients' cloud solutions within a diverse AWS ecosystem. We help solve data and analytics challenges using a broad portfolio of purpose-built analytics services, scalable data lakes, and warehouses.
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Let Our Clients Do the Talking

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    Head of Machine Learning at Creative Research, Wargaming

    If you want to have a stable and efficient product, I recommend working with InData Labs.

    They created an anti-fraud solution for our company, implemented and improved algorithms, and collaborated to deliver a working product. InData Labs’ work helped us save a significant percentage of our marketing budget. Clients can expect a partner who excels at delivering products.

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    Project Manager of Business Development Department, AsstrA

    The competitiveness of InData Labs in the field of data science impressed us. More importantly, we learned many things from them.

    InData Labs built a new freight rates prediction software for our company. The increased quality of the data results we received dramatically improved our metrics. InData Labs did an excellent job and became our trusted data science partner.

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    Without InData Labs we wouldn’t have gotten all the exclusive data from social media that we offer to our customers today. With no doubt, I highly recommend InData Labs for any big data related projects.

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    Senior Engineering Manager of GSMA

    InData Labs completed the deliverables on time and met our expectations. They recommended improvements and shared ideas for new features. We appreciated the team’s friendly approach, engagement with the project and the friendliness.

    They were like part of my team, I had the confidence to reach any of the team members at any time. It was as if we were working in the same physical environment.

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    CEO & Co-Founder, Myka LLC

    Not only is the team fully capable of delivering what we want, but they also deliver in a timely manner.

    Thanks to our team at InData Labs, we were able to quickly correct all issues/bugs from our previous developers, while implementing a custom algorithm for our most pertinent feature of our app, artificial intelligence. They turned our app around from unusable to outstanding and marketable in a matter of months.

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    CTO, Flo: Smart Period Tracker

    As a growing company, we found InData Labs’ expertise in data science invaluable. In almost two years of our cooperation, they’ve helped us define our data analytics strategy, build a scalable data pipeline, and improve menstrual cycle predictions with a sophisticated neural network.

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    CEO & Co-Founder, Skorebee

    We have used InData Labs help us create not only the scoring models, but also build frontend and backend components which have all been completed with high quality, within expected timelines, and with clear visibility into ongoing status. The InData team think in terms of being a long-term partner…not just a provider, and I would recommend them to anyone who values intelligent, diligent & proactive development partners.

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    Their competence in data science, machine learning is second to none. The algorithms and methods were extremely well-explained and documented. We were likewise impressed by the friendly and proactive engagement we got from every member of the team. We’re a very small organization with a limited budget, but they always treated us like our problems and our business was of utmost importance. In short, we got the same level of service that a company 1000x our size would have gotten.

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    Their drive was strong, and the whole team pushed their limits to meet deadlines and make everything work. Their strengths showed throughout our collaboration.

    Give them a try, even with small projects to test them out. They won’t disappoint you, and they’re very open about what they can and can’t do. I would recommend them to anyone.

Frequently Asked Questions

  • Intelligent virtual assistant (VA) software is an AI-powered tool that interacts with users through natural language to automate tasks, answer questions, and assist with decision-making.

    Unlike basic chatbots, intelligent VAs use technologies like natural language processing (NLP), machine learning, and contextual understanding to provide personalized, human-like support. They can be integrated into websites, apps, or enterprise systems to handle customer service, internal operations, scheduling, data analysis, and more—enhancing efficiency and user experience across various functions.

  • Generative AI is an acclaimed technology to assist in virtual assistant software development for a good reason. Generative AI combines AI and NLP to understand the context of customer queries, generate a prompt human-like response, and give the customer the most support they need. The technology enables fast and to-the-point text generation, personalized messaging and recommendations, smooth data transfer to the sales team, and more.

  • A CRM virtual assistant is an AI virtual assistant that enables smooth work with your customer base including data transfer and improvements, file sharing and document management, scheduling appointments and keeping track of sales calls, lead management, and sending emails and invites. A custom CRM virtual assistant developed to your needs can enhance your work processes and boost income.

  • Conversational AI can be a valuable asset to your business operations, improving your team efficiency and increasing your customer loyalty.

    Here are some modern use cases of conversational AI:

    • A website chatbot – available 24/7 for your clients and generates personalized messages to accommodate the needs of the clients
    • A CRM virtual assistant – simplifies the work with your customer base by solving data entry and transfer issues, scheduling appointments, and managing leads
    • A real estate virtual assistant tool – provides help for real estate agents in keeping the base up-to-date, scheduling calls, and tracking time.
    • Text generation software – enables quick and easy content creation and editing from scratch
    • Voice assistants – voice-activated bots that recognize text and convert it into voice and vice versa
    • ChatGPT tools for optimized design – tools for helping with design tasks such as logo, social media banner, video, flyer creation, etc.

    You can literally develop any AI virtual assistant software catered to your needs. The only thing to be kept in mind is finding the right technology provider and gathering project requirements.

  • Yes, you can. There are plenty of AI tools like ChatGPT out there these days. The question is will it fulfill your business needs 100% or not? To avoid this, you can analyze your business needs and set goals you’d like to achieve by developing AI software.

    What is more, it’s essential to find an experienced AI technology provider than doing it yourself or redoing it with the help of a pro. Search for a trusted technology solution provider and go for a consulting session to discuss your project ideas.

  • The cost of a conversational virtual assistant tool varies depending on the solution type and complexity. Custom-built solutions with AI and backend integrations can cost $30,000 to $100,000+ for development, plus ongoing maintenance. The price depends on your business needs, scale, and desired level of customization.

  • Intelligent virtual assistant software solutions can simplify and accelerate data analysis by enabling users to interact with data using natural language. They can pull reports, generate summaries, visualize trends, and answer complex analytical queries in real time, without the need for manual dashboard navigation or coding.

    Integrated with BI tools or databases, machine learning virtual assistants help teams make faster, data-driven decisions by turning raw data into actionable insights through intuitive dialogue.

  • Virtual assistants can support sales forecasting by analyzing historical sales data, market trends, and customer behavior to generate accurate projections.

    They can deliver real-time insights through conversational interfaces, allowing teams to ask questions like “What are next quarter’s projected sales?” or “Which regions are underperforming?” Integrated with CRM and analytics platforms, virtual assistants help sales teams make informed decisions, identify growth opportunities, and adjust strategies quickly—all without needing to sift through complex reports manually.

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