Anshar Labs
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Data-driven Decisions using generative aI

Leveraging Generative AI to distill complex raw data into clear, actionable insights

Are you trying to figure out
  • How you can leverage generative AI models to accurately forecast future trends, demand, and customer behavior based on historical transactional data?
  • How you can automate the process of analyzing transactional data using AGI and generating reports, summaries, and visualizations to support decision-making?
  • How generative AI models can help you identify pain points, preferences, and areas for improvement in customer experience?
  • How can generative AI models help you generate risk assessments, flag potential violations, and recommend mitigation strategies?
and many more such questions...
team expert
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Our team of AI experts specializes in developing custom large language models tailored to your industry and business requirements. We leverage state-of-the-art generative AI techniques to create domain-specific LLMs that understand and generate natural language specific to your domain.

Why settle for what currently exists when you can co-create the world you truly want?

Imagine with us and watch us make your dream a reality
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our capabilities

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Speech and Language processing: This is conducted based on Transformer models, more commonly known as LLMS.

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Leveraging Open-Source models: We have capabilities to tune and adjust publicly available large language models to suit the needs of the problem. There are two key ways in which this tuning is performed:

Fine-tuning. This involves re-training layers of the model on novel content, to adjust the voice, tone, and context of the language model to the case at hand. Retrieval Augmented Generation (RAG). In this approach, a private or proprietary dataset may be supplied to the model, which then becomes available to the model when it is generating responses to prompts.
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Image and video analysis: Adept in deep learning models such as CNNs and RNNs for video sequence analysis and recognizing human actions, object detection using Faster R-CNN and segmentation using Mask R-CNNs. Expertise in GANs and VAEs for generating images and videos.

Contingent on heavy compute and dataset availabilties
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Custom model development: We have broad technical expertise in exotic models from several fields including Graph Neural Networks (GNNs), Spiked Neural Networks and Probabilistic Machine Learning (PML). This may be utilized to develop highly customized models in cases where standard techniques are not suitable.

our industry solutions
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Media

Demographic and Geospatial Content Performance Predictor

Business opportunity

Leveraging chatbots and image, video, and textual sentiment analysis, presents a unique business opportunity to bridge the gap between traditional media's content creation capabilities and the personalized, granular content preferences of today's audience.

data ecosystem

User interaction data, content consumption patterns, demographic information, and geospatial data. These unstructured data types are cleaned, processed, and arranged machine learning clusters.

ML/AI Model Type

Combination of Large Language Models (LLMs) for content analysis and recommendation, with geospatial analysis models and demographic-based segmentation for targeted insights and predictions.

benefits

  • Predictive Content Performance: The application of LLMs and geospatial analytics enables media companies to accurately forecast the success of content across different platforms and locations.
  • Marketing Optimization: By leveraging demographic and geographical insights, marketing strategies can be precisely tailored to target the right audience segments, enhancing the effectiveness of advertising campaigns.
  • Improved User Engagement: Personalized content recommendations, driven by sophisticated AI models, ensure that users are presented with content that resonates with their interests and preferences, thereby increasing engagement rates.
  • Targeted Advertising: The system's ability to match users with content that appeals to them supports highly targeted advertising, improving the relevance of ads and increasing the likelihood of engagement and sales.
Highly targeted marketing insights allows for highly targeted advertising, specific to your products and services. We utilise proprietary user and content level features to match users to content that will appeal to them. This can be used to drive product selection, customised site recommendations and unique user experience. For marketing, this allows for precise content advertising to specific user segments who are likely to engage with the product, further driving sales. This solution utilises existing data on customers to create sustainable competitive advantage.
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FINTECH

Enhanced Portfolio Analysis through Unstructured Data Insight

Business opportunity

Financial firms often sit on vast amounts of unstructured data (e.g., internal memos, reports, board minutes) that contain valuable insights, which remain untapped due to the complexity of extraction and analysis.

data ecosystem

Utilization of internal documents, financial reports, market news, and regulatory filings. Integration with structured data sources for comprehensive analysis.

ML/AI Model Type

Natural Language Processing (NLP) models for text extraction and sentiment analysis, combined with predictive analytics models to correlate findings with financial metrics such as portfolio returns.

benefits

  • Informed Decision-Making: By uncovering insights from unstructured data, financial professionals can make more informed decisions, underpinned by a comprehensive understanding of the factors influencing their investments.
  • Enhanced Risk Assessment: The ability to analyze sentiments and trends within internal and external communications allows for a more nuanced risk assessment, factoring in both quantitative and qualitative data.
  • Strategic Development: Access to a deeper layer of insights facilitates the formulation of more robust and forward-thinking strategies, leveraging the full spectrum of available data.
  • Predictive Capabilities: The integration of sentiment analysis with predictive models offers an advanced forecast of market movements, providing a strategic edge in investment planning.
  • Competitive Advantage: Transforming textual information into actionable insights presents a unique competitive advantage, enabling firms to stay ahead in a rapidly evolving market landscape.

The very definition of what constitutes data has moved to now include textual information including documents and emails. Novel analysis techniques allows the key insights from these documents to be extracted, such as sentiment analysis and correlation with performance metrics. We offer these techniques to existing portfolios, to allow textual information to be converted into meaningful strategic advantage within the market.

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ed-tech

Proprietary Educational Content and Interaction Platform

Business opportunity

The need for accessible, interactive, and personalized educational materials to support diverse learning styles and goals.

data ecosystem

Educational content repositories, user interaction data, feedback mechanisms, and external educational resources.

ML/AI Model Type

Natural Language Processing (NLP) for content comprehension and interaction, combined with AI-driven chatbots for personalized learning experiences and content recommendation engines tailored to individual learning paths.

benefits

  • Interactive and Personalized Learning: Our platform introduces an unprecedented level of interactivity and personalization in education, significantly enhancing knowledge retention and understanding.
  • Efficient Learning Needs Identification: It enables educators to swiftly pinpoint and address the learning needs of individuals and groups, optimizing educational outcomes.
  • Natural Learning Experience: Through conversational interfaces, students engage with educational content in a more natural and intuitive manner, closely simulating a one-on-one interaction with a personal teacher.
  • Content Utilization: This solution repurposes existing educational materials, from simple exercises to comprehensive lessons, as support material for our custom edu-LLMs, ensuring that valuable educational content is maximized.

Conversational interfaces allow for a more natural education experience, empowering students to ask natural language questions and receive helpful responses in real time.

We provide conversational pages and chatbots, which allows your company to deploy these interfaces above the existing educational content. This approach transforms existing educational content into a dedicated personal teacher. Existing content, ranging from subject exercises to complete lessons may all be used to furnish support material for our custom edu-LLMs. This solution is local and proprietary, which guarantees valuable data and intellectual property will not leak into Open-Source models.

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healthcare

knowledge repository

Business opportunity

Through a centralized, easily accessible platform for medical information through a conversational interface, medical professionals can reduce time spent searching for information.

data ecosystem

Compilation of medical data, including but not limited to, up-to-date research articles, drug prescription guidelines, hospital internal memos, patient records (where applicable and compliant with privacy laws), and broader medical information databases

ML/AI Model Type

Large Language Models (LLMs) tailored for medical applications. By integrating with the knowledge repository, the LLMs are designed to provide accurate, context-aware responses to queries from medical professionals, ranging from research insights to administrative guidelines.

benefits

  • Accelerated Information Access: The AI-enhanced knowledge repository significantly reduces the time medical professionals spend searching for information, allowing for quicker, more informed decision-making.
  • Improved Decision Support: By providing instant access to a vast array of medical knowledge and data, the tool assists physicians in making better-informed decisions regarding patient care, treatment options, and medication prescriptions.
  • Enhanced Administrative Efficiency: Streamlines administrative tasks by offering answers to operational, procedural, and policy-related questions, thereby reducing the administrative burden on healthcare professionals.
  • Continual Learning and Update: The system is designed to continuously update with the latest research and information, ensuring that medical professionals have access to the most current knowledge without the need to manually search and review multiple sources.

Medical professionals work with vast amounts of information each day, from medical information to the latest research to drug prescription rules to hospital memos. We empower access to these disparate streams of information with a dedicated knowledge repository, accessed via an intuitive conversational interface.

By providing this information as support materials for our custom LLM, we create a touchstone which accelerates information access and reduces physician time wasted hunting for information. The tools we create can respond to queries about the latest research, internal hospital information and further auxiliary information. The Knowledge Repository allows for a huge step in AI skill augmentation. By condensing broad information into one easily accessible interface, traditional issues of administration and problem solving are all addressed.

our winner process

Our distinctive advantage lies in our bespoke client engagement model and in-depth understanding of specific needs, processes, or challenges. Our methodology ensures value addition to our clients, substantiated by a four-phased approach.

Discover How Anshar Labs Helped to Amplify the Success of a media property using custom LLM

Go beyond traditional demographics and dive into a case study that unveils the future of targeted marketing. Explore how our innovative approach empowered a studio to reach the right audience segments, maximizing the impact of their unique storytelling.

read the case study
cogx

We are coming to CogX in Los Angeles, CA

Our collaboration with CogX as a corporate sponsor reflects our dedication to fostering innovation and supporting impactful initiatives in AI 

cogx

AI & Transformational Tech

May 6 - May 8

AI & Transformational Tech

We look forward to meeting you in person to share discoveries and experiences in productivity, product development, and faster decision making using generative AI.

Together, let’s all begin answering the critical question of “How do we get the next ten years right by leveraging all aspects of generative AI”?

Let’s Connect!

Please share a little bit about your project so we can talk more objectively

We would love to jump on a preliminary call to explore the opportunity together and provide any insight that might help you visualize your big goal.

And no strings attached! This discovery call is on us.

You can always reach us with any questions at

hello@ansharlabs.com
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