Your Data, Upgraded

From wrangling to inference - The Numantic Solutions team can help you get more out of your data. We work with clients in social impact and commercial segments to design, build and use their data environments.Numantic - a portmanteau of numeric and semantic, reflects our focus on delivering quantitative and programmatic solutions that assist in addressing real-world problems and capitalizing on untapped opportunities. Our advanced product management and software engineering expertise provide a foundation for helping clients define objectives and deliver data solutions supporting those objectives.

Your data is an asset

Even in this age of artificial intelligence, data can still be a powerful, differentiating and defensible assets for smaller for-profit and nonprofit organizations - just as it is for large technology companies. You don't need to build a massive dataset to build one that has value. Datasets focused on specific topics, questions, industries, segments or markets can be unique and provide strategic advantages. Building high-quality datasets requires effort, but it's not as difficult as you think. And, we can probably help.

Leverage your data

Leveraging your data is to employ them in ways that further your organization's mission and help you build value. The right methodologies and tools applied to relevant data can help your team make better decisions, improve services and add intelligence to production processes and applications. We can help you get more value from your data through business intelligence and machine learning solutions.

Contact Us

Feel free to reach out to brainstorm about your data and its potential. We'd appreciate hearing about your organization and the challenges and opportunities that might be addressed with data, and we're happy to share our experience from many varied projects at large and small entities. There's no fee or commitment for an introductory, solution-consulting conversation; we'll just listen and provide honest, objective thoughts on next steps.

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What We Do

Numantic Solutions is a data consultancy helping organizations leverage their data assets. We can assist throughout the data lifecycle from the collection and curation of data to the analysis of data to gain insights to the use of analytical results in setting strategy to the deployment of machine learning models in production environments.To get an idea of the kind of work we do, here are a few examples of projects driven by the Numantic Solutions team:


Mental Health Web Application for schools

⦿ Overview : A data-driven web application helping schools improve their mental health, trauma, social emotional learning and equity supports.⦿ Our contribution : Using Python, we built tools to collect, clean and enhance both publicly available and privately procured data. These data are passed to a web application for presentation to schools. In addition to data analytics, the Numantic team provided product management expertise assisting in designing the user front end, developing new features and documenting the application and data science components.


Social Media Sentiment

⦿ Overview : A natural language processing (NLP) sentiment analysis tool pulling relevant Reddit posts and X (Twitter) tweets and assessing sentiment about homelessness in the Capital Region of British Columbia. This project was a collaboration between Statistics Without Borders (SWB) and the [Alliance](https://victoriahomelessness.ca/||blank To End Homeless in the Capital Region. The work is being presented at the 2024 Joint Statistical Meetings (JSM).⦿ Our contribution : Using Python, we built a data-collection pipeline that employs application programming interfaces (API) from X (Twitter) and Reddit to collect tweet and post data and machine learning models to assess their relevance and sentiment. The pipeline runs on a Google Cloud instance and results are published to a public website.


Stable Diffusion Color Analysis

⦿ Overview : How many color terms does a text to image generative AI learn through its training process?⦿ Our contribution : We developed batch mode prompt rendering using Python and proposed an initial automated analysis process. The analysis uses depth contours to estimate regions of interest and quantifies color differences with respect to a million-color term human corpus. We then use these results to estimate the range of color terms available for use.


Patent Drawing Retrieval Tool

⦿ Overview : Thousands of new patent drawings are published each week by the US Patent Office – how can we better search this collection of images?⦿ Our contribution : We leverage image vector embeddings to create a database of weekly Patent Gazette drawings. This database is then queried using text descriptions, example images or categorical prompts. The embeddings and retrieval are performed using a Python toolbox running locally to achieve more stringent privacy requirements.


Tools and Technologies

Below are some technologies and tools that we've extensively used in our project work. However, we're always willing to learn and use other tools, if they are needed for a project.

  • Languages - Python (most frequently) but we've also worked in other languages such as R & C++

  • Libraries & Frameworks - Pandas, Selenium, Puppeteer, Beautiful Soup, Django, Fake Data, Geopandas

  • AI & Machine Learning - ChatGPT (API), Stable Diffusion, Microsoft's Platform for Situated Intelligence (PSI), Google's TensorFlow, Hugging Face, Scikit-learn, PyTorch, Gensim (Doc2Vec)

  • Databases - BigQuery, Postgres, Snowflake, Teradata

  • Cloud Computing - Google Cloud, Amazon Web Services (AWS)

  • Application Programming Interfaces (API) & Tools - Google Docs, Tweepy (X/Twitter), PRAW (Reddit), PyCharm, Jupyter, Colab, CenPy, Enimoh, Zinc

Team

⦿ Steve Godfrey is a technical product manager and data scientist. In those roles, he helps organizations leverage data and analytics to improve their products and services and to support their missions.He frequently writes and speaks about tools and methods to manage, analyze and model datasets as well as applying data analytics in real-world use cases.His professional career has been in financial and technology services working for investment management, banking and financial technology firms including PayPal in data science and Wells Fargo and Bank of America in currency trading, global payments and risk-management research. In addition, his volunteer work includes evaluating statistical techniques, constructing machine-learning pipelines and software consulting for organizations such as Statistics Without Borders and the Technology Accelerator Fund.He holds an MBA and BS Mathematics/Applied Economics from UCLA and completed a data-science bootcamp. Steve lives in Palo Alto, CA with his wife, has two grown children and enjoys travel and outdoor activities and working with wood and in the garden.


⦿ Nathan Moroney is an experienced research engineer. He has worked across organizations to invent, develop and ship a range of technologies. Nathan has written over 90 papers and patents with over 1,000 combined citations. He has been collecting and analyzing web-based data sets since before the term crowdsourcing was coined.He started as a research consultant at the RIT Research Corporation and then joined Hewlett-Packard Español (Barcelona) as a writing systems engineer. Nathan then transferred to HP Labs (Palo Alto) where he contributed to imaging, data, 3D, sensor and machine learning projects. His accomplishments as a principal scientist were recognized with the awarding of Fellow status at the Society for Imaging Science and Technology.Nathan has a BS degree from Jefferson University and Master of Sciences degree from the Rochester Institute of Technology. Both of his degrees are in the field of color science and his masters research topic was color space selection for JPEG image compression. He and his wife are Palo Alto residents with two grown children. When he cooks, it is often with one (or more) skillets and his current deep reading project is about rivers of the world.

What's New

Curious about our most recent activities and efforts? Okay, maybe not everything below is recent (depending, of course, on your definition of recent). Still, the examples of our work, as part of Numantic Solutions and from prior projects, will give you a feel for the energy, insights and skills we can bring to your initiative.


Zip Highlighter

September 24th, 2024A streamlit interactive visualization of the contiguous US state zip codes.The app, the src any comments/questions and about


OpenGazette : Python tools to work with the USPTO weekly Patent Official Gazettes

August 20th, 2024

An initial version of OpenGazette has been published as a public repository.


SWB + Impact Initiatives

In this blog, we discuss a recent collaboration between Statistics Without Borders (SWB) and IMPACT Initiatives addressing survey design effects in the Multi-sectoral Needs Assessments (MSNA) conducted by IMPACT in countries experiencing humanitarian challenges and crises.


Data Analysis using Artificial Intelligence

In this electronic book on AI Data Analysis, we explore using Large Language Models (LLM) to analyze datasets with the goal of developing some operating instructions or guidelines on how to effectively use these tools in the data-analysis task.


Web Scraping Pipeline

This video and paper cover a collaboration between Statistics Without Borders (SWB) and Client to Consultant Bridge (C2CB) to develop and deploy a multistage data pipeline to automatically curate a national list of small-business aid programs during the COVID-19 pandemic shutdown period. The pipeline's results were presented at a website and helped small business users efficiently research and find relevant aid programs.

Contact Us

Have challenging data? Do you need extra analytic expertise or just have questions for us? Please drop us a line.We're interested in learning more about your organization and the potential for data in helping advance its objectives. There's no fee or commitment for an introductory, solution-consulting conversation; we'll just listen, learn and provide honest, objective thoughts on next steps.Contact us directly at [email protected] or [email protected] or by using the info address below.

[email protected]

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Zip Highlighter

September 24th, 2024What two locations in the contiguous US are closest by zip code but furthest by great-circle distance?We used pgeocode to compute valid zip codes from 00501 to 99403 (and corresponding latitude and longitudes). To be concise, the latitude and longitude are encoded with a single digit of precision in the zipped TSV file.Then we used streamlit to implement a core ~100 lines of python to create an interactive zip code range visualization dashboard. For the range, plus or minus 250 zip codes are used around the currently selected zip code. Note that over the entire range, there are roughly 40,000 valid zip codes - so it's possible select a zip cod that doesn't exist. In that case the next nearest zip code is used.Try it out below and please let us know If you have any comments or questions.