InData Labs is a certified AWS Partner
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.
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.
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.
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.
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.
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.
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.
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.
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.
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:
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.
