FUELLING THE AI REVOLUTION

We implement Artificial Intelligence techniques to aid enterprises to derive relevant insights from the information collected and processed from Big Data

1. Machine Learning

We improve your operations and processors by deploying ML algorithms created by us within your software solutions.

Observe and analyze clients' preferences

Point out patterns and inconsistencies

Predict and decide

We guide you to avail the full range of advantages of machine learning. Our team of experts utilizes the machine learning service to develop superior quality software and deploy the best technology and statistical methods for your company.

We are experts in:

  • Clustering
  • Anomaly Detection
  • Time Series Forecasting
  • Recommender Systems
  • Digital Signal Processing
  • Artificial Neural Networks

2. Deep Learning

Given the constant growth of data volume and complexity, the need for greater processing power and advanced graphics processors is steadily expanding. Enterprises are increasingly turning to Deep Learning to provide big data predictive analytics to meet this demand.

Deep Learning enables organizations to tap into the potential of unstructured data including images, text, and audio to come up with innovative use cases that deploy AI, automatic translation, image interpretation, natural language processing among others. The AI app development team at HashCash creates Artificial Neural Networks (ANN) and uses DL techniques to propel our client company's output.

Construct cognitive frameworks

Recreate human responses

3. Natural Language Processing (NLP)

We develop intelligent software solutions capable of understanding human speech and writing.

(A)
Extraction of data from texts and speech
(B)
Generate comprehensive texts

Identification of human emotions and context.

We facilitate the labeling, creation, and validation of domain-specific text data in a broad variety of languages.

Sentiment Analysis

Our approach allows for the customization of steps of the process to meet your exact specifications. Our effort includes taking a stride beyond simplistic sentiments and analyzing the logic behind the positive and the negative.

Named Entity Recognition

Our platform implements dedicated tools and superior quality controls to enable highly accurate named entity recognition (NER) tasks. You can customize your ontology to execute tasks such as identifying parts of speech, classification of names of places and people, or other entities central to your project, and rely on us to give your idea a shape.

Intent Classification

Intent classification forms a crucial step in training virtual assistants, chatbots, and other conversational agents. Given that the intent is not homogenous throughout, one of the most effective strategies to train a model to cater to your users' expectations is to incorporate the human-in-the-loop approach to creating training data.

Utterance Collection

Leverage the benefits of a network of fluent annotators with free text utterance collection jobs to gather text strings based on scenarios or prompts to drive your conversational agents. Our platform employs workflows and quality controls and supports multiple languages to ensure the highest quality free-text utterances.Leverage the benefits of a network of fluent annotators with free text utterance collection jobs to gather text strings based on scenarios or prompts to drive your conversational agents. Our platform employs workflows and quality controls and supports multiple languages to ensure the highest quality free-text utterances.

Optical Character Recognition and Transcription

Several renowned global companies avail optical character recognition (OCR) models from HashCash. The solution provided by us brings higher accuracy to your algorithms which makes tasks such as identifying specific areas of text in PDFs with bounding boxes, transcribing relevant sections of PDFs, or validating model outputs, easy.

Information Extraction for NLP

The information extraction solutions of our platform aids in understanding the topic or subject of a text. Tasks as simple as classifying sections or whole documents, or copy/paste functionality to something more complex as identifying important strings of text crucial for your NLP models fall within the purview of our platform.

Relevance Scoring

Our human-in-the-loop platform scans the relevance of the output of your search or conversational agent to a user’s request to enable you to iterate on your model and provide the most relevant results for each query.

Text Categorization

Categorization of any variety of text is possible on our platform. Its property of having customizable instructions, form functionalities, and ontologies enable it to carry out operations such as detecting spam or looking up newswire articles and optimizes your model for understanding.

4. Predictive Analysis

Predictive analytics collates advanced analytics capabilities covering ad-hoc statistical analysis, data mining, predictive modeling, optimization, text analytics, real-time scoring, and machine learning. Identifying patterns in data and forecasting what will happen next becomes smooth for organizations who use these tools.
Predictive analytics based on statistical algorithms, data, and ML to determine the possibility of future outcomes.

(A) Prediction of business-related trends and actions

(B) Identification of business-critical risks

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