Reco-NLQ (Cutting edge natural language querying platform)

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Explore and have a deeper understanding of data without the hassle of using complex query knowledge. Our Natural Language Querying (NLQ) enables users to perform deeper analytics of data by simply asking queries in chat or voice in a natural conversation manner. The NLP engine breaks down the user’s query and extracts the meaning of the query; based on that the NLQ system uses machine learning algorithms to generate a response based on the available data.
Our powerful NLQ system helps businesses in faster decision-making, improves data quality helps in better team collaboration, and saves cost.

Latest Posts

NLP In Pharma: Transforming Clinical Data Into Positive Outcomes

The pharmaceutical industry thrives on data. From drug discovery to clinical trials, regulatory compliance to pharmacovigilance, mountains of textual data are generated daily. But the challenge lies in collecting this data and making sense of it. That’s where Natural Language Processing steps in, acting as the magician that extracts meaningful information from unstructured text. According […]

Top Benefits & Use Cases of NLP in Insurance Industry

The influx of data has long challenged the insurance industry—a cascade of claims, market analyses, regulatory documents, and customer interactions. Amidst this data accumulation lies the need for efficient processing, accurate risk evaluation, and compliance adherence.    Fortunately, the insurance industry has witnessed a remarkable transformation in recent years due to technological advancements. One of […]

Streamlining Mortgage Processing: The Power of Automation

Securing a mortgage loan is a significant milestone on the path to homeownership. However, the process involved in acquiring a mortgage can often be intricate and time-consuming, especially regarding mortgage underwriting. Mortgage underwriting is a critical step in the loan approval process, where lenders evaluate an applicant’s financial stability and creditworthiness to determine if they […]