Our Services

We offer a wide range of high-quality services to our clients

AI & Machine Learning - Dev X Webflow Template

AI & Machine Learning

We specialize in Natural Language models, Computer Vision, Recommender Systems, and Deep Learning.

Mobile App Development - Dev X Webflow Template

Mobile App Development

We build both native and cross-platform applications for our clients

Servers & Cloud Infrastructure - Dev X Webflow Template

Servers & Cloud Infrastructure

We are Google Cloud Architect Certified and are proficient in AWS and Azure

Team Experience

An overview of projects that our team has worked on

Mobile Apps

Social Events App

Created, Designed, and Deployed a social events application. Built in Flutter, it provided a system for groups of people to create and organize events through natural language. Application processed over $100K in transactions before it was shutdown.

Recommender Systems

Social Event Time Recommendation Engine

This time recommendation engine takes an arbitrary number of calendar schedules as input and understands the context of the event based on features such as NLP embeddings of event name and description, as well as history of users past events. It output times that worked well for everyone and also made the most sense for the event in question.

NLP

Search Engine for Audio Records

Utilized ASR to transcribe 20+ years of cataloged audio records from a multimedia company, then created a semantic search engine via natural language embeddings to retrieve relevant recordings and pinpoint the most relevant audio segments down to the second level.

NLP

Named Entity Tagging Suite for Food Regulation Industry

Trained a hyperspecific Named Entity Recognition (NER) and Entity Linking model on hundreds of thousands of industry specific documents which resulted in near full automation of multiple job types in the food regulatory industry, where inaccurate predictions have severe consequences. Coupled this with a powerful graphical interface for verifying predictions downstream to produce a production application on Azure Cloud.

NLP

NLP Event Detail Extractor

Trained a model to reliably extract event details such as title, date, time, participants, and location from blocks of unstructured text and automatically create standardized event entries. This enabled event extraction from both the internet and from conversations, as well as instant event creation via voice.

Recommender Systems

Location Recommender for Social Events

Our location recommender utilized natural language embeddings of massive databases of location details to match locations to groups of users and their respective social events. This engine allowed for curated social events to be built automatically with everyone’s preferences in mind.

Mobile Apps

Identity Monitoring Native App

Architected, developed, and deployed white label applications to allow users to monitor their identity on the internet. Did the complete build process and new feature development for the project on iOS and some Android.

Anomaly Detection

Flight Path Anomaly Clustering

This system was built by adapting multiple bleeding edge research papers into a full production AI system. The system accepts streams of realtime flight data, and thus has extremely low latency requirements. It then performs unsupervised clustering of timeseries data in order to flag potentially dangerous flight paths.

Mobile Apps

Credit SDK

Architected and deployed native SDKs for the iOS and Android platforms to communicate with credit information providers. It made use of a stateful architecture for clients to easily log users in via JWT tokens and then request data and update user information on behalf of their users. The SDK became a core business value for the company and was sold as a new product after the team completed building the MVP.

Genetic Algorithms

Construction Company AI Task & Staff Scheduler

Leveraged Genetic Algorithms to schedule optimal task orderings across all construction staff and projects. This system solved a more complicated version of the Job Shop Scheduling Problem, an NP-Hard problem that is “clearly harder than the Traveling Salesman problem.” The system optimized over individual staff skillsets, drive time, site visit ordering (traveling salesman), task ordering, resource availability, wage spend, and more.

Computer Vision

Computer Vision for Cancer Diagnosis

This system intakes 3 view mammogram scans of breast tissue and outputs the risk factors associated with the images. It improves on the current clinical accuracy of risk assessment by more than 10% in the majority demographic (caucasian women) and up to 60% improvement in the case of minority demographics. We adapted just released research into a production grade AI system and helped oversee and advise the process for technology acceptance by the FDA.

Computer Vision

Computer Vision Receipt Parser

Computer vision model that takes in an image of a receipt and outputs an itemization of all charges, each tagged with relevant item categories. To make this work properly, we needed to create a custom pipeline comprised of many deep neural networks. The first model performed object recognition, passed the output to an OCR model, then a model that we trained to understand receipt geometry, and a finally an NLP model that performed classification on the types of charges.

Mobile Apps

Chemistry Reference App

Application that showed and categorized relevant LaTeX equations for chemistry usage. It broke down all of the variables and let users input data to then solve for missing items.

Genetic Algorithms

AutoML Engine Using Neuroevolution

AutoML system that intakes arbitrary rectangular data and builds and compares thousands of deep neural networks via genetic algorithms (DeepNEAT) to build the optimal model for your data. This system is highly performant on both flat and time series data, having the capacity to encode many variations of RNNs and CNNs in addition to standard dense networks.

Mobile Apps

Allergen Tracker App

Developed an application to track the local allergen conditions and forecasts. Users could add their top allergen trackers as widgets on their home screens that would update realtime.

Current Specials

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Application Wireframes

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Data Analysis

Need help understanding your data? PressW will schedule a 30 minute analysis call to begin the process of linking data together and creating stories from your data

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AI Consulting Session

We will set up a one-hour meeting with you to help you figure out which solution makes sense for your problem

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