End-to-end development tailored to your workflows, tone of voice, and proprietary data — from architecture to production deployment.
Adapt foundation models to your domain. We add retrieval-augmented generation over your knowledge base for cited, hallucination-free answers.
Seamless connection to CRM, ERP, HelpDesk, and internal databases. Your assistant works inside the tools your team already uses.
Real-time voice agents with sub-second latency over phone, web and mobile. Built on modern speech-to-speech stacks — natural, interruptible conversations.
Multi-step task orchestration — your assistant plans, calls tools, executes workflows and self-corrects. Ideal for sales automation, ops support, data research.
Ongoing model retraining, drift detection, hallucination monitoring, and SLA-backed support. Your assistant improves over time.
Goal-directed agents decompose tasks, call APIs, run workflows, and self-correct — without human prompting at every step.
End-to-end speech models respond in under 800ms and handle interruptions naturally. Ready for call centers and field service.
Industry-tuned models trained on proprietary data deliver far higher accuracy than off-the-shelf solutions.
Retrieval-Augmented Generation answers questions from internal docs and databases with source citations — no hallucinations on proprietary data.
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.
They were really flexible — and always delivered on time.
InData Labs handled end-to-end delivery, starting with discovery — requirements, architecture, and high-fidelity UI/UX — then built a web MVP covering provider/patient/organization management, appointments, org branding, and LLM-guided prompts.
The team delivered items on time and was flexible in accommodating our frequently changing needs, also adjusting to the international time difference for weekly meetings.
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.
InData Labs is a certified AWS Partner
VA software stands for virtual assistant software developed to assist with a set of repetitive or tiresome tasks. It uses NLP, ML, and contextual understanding to automate tasks, answer questions, and integrate with business systems. From saving time on complex initiatives and projects, and improving efficiency, to cutting labor costs, virtual assistant software tools can be of great help.
Here are the key benefits of having a virtual assistant:
See also our AI chatbot development services for faster-launch conversational AI solutions.
Generative AI combined with NLP is the leading stack for ai virtual assistant development today. For enterprise use cases we recommend LLM fine-tuning + RAG over proprietary knowledge bases for accurate, hallucination-free answers. Stack choice depends on compliance, latency, and cost requirements.
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 within your CRM. A custom solution built by our ai assistant development company can integrate with Salesforce, HubSpot, or custom CRMs to enhance your workflows.
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:
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.
The cost of virtual assistant development varies depending on solution type and complexity. Custom-built solutions with AI and backend integrations typically range from $30,000 to $100,000+. Our experienced virtual assistant developers will scope your project and provide a transparent estimate after a free discovery session.
Yes, but custom development with an experienced AI virtual assistant development company ensures the solution fits your business needs 100%, is production-grade, and has proper security and compliance. Off-the-shelf tools rarely cover enterprise-grade integrations out of the box.
