Commercial Engagement

We are highly sought after by commercial partners to leverage our intellectual property, to modernize existing products and applications, design and implement new features and capabilities, provide sales support and customer engagement, define and implement solutions to better leverage internal data sources, automate strategic business functions, and augment internal research and development teams.

  • Strategy and Architecture
  • Deployment Automation
  • Scaling and Compliance
  • Data Integration and Sharing
  • Data Science & Engineering

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Our Engagement Types

We are often sought after to support our partners in one or more of the following ways:

  1. License and white label ATA’s intellectual property with service support to modernize and add features and intelligence to an existing application and roll it out to an existing customer base.
  2. Leverage ATA’s intellectual property and solutioning expertise to design and build an internal application to improve the efficiency and effectiveness of your operations leading to a decisive competitive advantage.
  1. Leverage ATA’s expertise to augment your internal research and development activities, because you do what you do best and we can bring specialized talent so you don’t need to hire and sustain outside of your company’s core competencies.
  2. Small businesses are often seen by customers as an excellent source for innovation. Leverage ATA’s past performance, background IP and talent to support you in meeting the needs of your clients where we’re seen as a member of your team on either an existing project or in support of the pursuit of new work

Sample Projects

Automated Data Ingestion Pipeline Project

Who Mid-tier Publicly Traded Company
What A data-intensive system for analyzing supply chain logistics and managing operations for a parts distributor primarily serving an executive branch department of the federal government of the United States.
The Problem Develop a high data volume system for collecting, storing, and analyzing millions of transactions within a department’s parts distribution supply chain. Data is to be collected from a multitude of sources and at a wide range of frequencies.
The Solution The project included significant upgrades to the in-place system including automated execution of complex data ingestion pipelines and a new analytics engine that utilizes machine learning to produce predictions and optimizations of supply chains.
The Impact As part of this project, many of their most intensive daily data ingestion pipelines were automated such that data could be collected, validated, processed, and ingested into both the operational and analytics systems in a repeatable manner.

Legacy Application Upgrade

Who Fortune 500 American technology company
What A commercial solutions team providing mission-critical technologies to a major component of the United States air transportation infrastructure.
The Problem Petabytes of production historical data from hundreds of field sensors at major airports collecting navigation, operations, and operational data flowing through to customers through a legacy application.
The Solution Maintain the legacy sensor data collection, but break downstream dependences on the existing provider for data services and data visualization to create a modern service based architecture with new analytics (AI/ML) to support service extension and role-based services; and close critical security gaps.
The Impact ATA provides ongoing support and maintenance for the system in excess of 99.9% uptime and availability with over 99.5% data concurrency and 100% data retention, synchronizing 714 million rows of data through real time synchronization of 682Mb / day of unique messages.

Future Proof Data Operations

Who Fortune 500 American technology company
What Defense contractor and information technology services provider.
The Problem The system that provides the one-stop shop for all data analysis activities, including ingestion, storage, enrichments, analytics, and resolution of operational reports required architectural updates in order to meet the increased data loads and analysis diversity associated with en-route data operations. Additionally, the system functions as both an analysis system and a user extensible computing platform, so it’s many potential uses could not be predicted and users require the ability to easily add new capabilities and functionality.
The Solution ATA developed an architecture that fulfilled known requirements and remained flexible enough to absorb future requirements with little to no changes. ATA also leveraged various techniques to uncover and exploit hidden values within the spectrum of data sets provided by the customer.
The Impact

Access to the known and hidden values provide greater insight into the customer’s network’s performance, benefits, and security; including analytics for:

  • Network operations and maintenance (reports on the monthly message latency values and 6 month trends, a breakdown of violations, the development of new system metrics and the development of new dashboards provide improved insight in the state of the network)
  • System test and evaluation (processed and visualized data collected as part of a test program with the intent of showing how the network’s RF coverage complies with requirements),
  • Performance engineering (predictions based on traffic growth, equipage projections, and other data on when the network performance will degrade, these predictions allow for proactive updates to network infrastructure),
  • Advanced analytics (leveraged machine learning techniques, integration with other information systems, and/or other advanced approaches to provide new, innovative solutions to hard problems, including security applications, safety impact, and environmental impact).

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