NEW YORK — High QA has achieved a significant engineering milestone by successfully migrating its sophisticated AI engine to Amazon Web Services (AWS). The transition ensures that the company’s signature operational speed remains intact while enabling global scalability. This achievement was the result of a deep technical and cultural collaboration between High QA and Commit, a global technology services firm.
The project centered on digitizing the traditional manufacturing workflow. High QA’s proprietary AI engine was built to interpret 2D PDF drawings—a long-standing industry standard—and automatically extract structured digital data. This automation eliminates the risks associated with manual data entry, ensuring that the original design intent is preserved throughout the quality management process.
While the system was originally optimized for local shop-floor hardware to ensure low latency, its localized architecture created hurdles for international expansion. To serve a diverse client
base ranging from aerospace manufacturers in the U.S. to automotive suppliers in Europe, High QA needed to move toward a distributed cloud model without sacrificing performance or security.
A Critical Migration Strategy
Migrating machine learning architectures in regulated industries is a high-stakes endeavor. High QA’s software is vital for aerospace, defense, and medical manufacturing—sectors where quality control is directly linked to regulatory compliance and safety. Any performance degradation or security flaw during the migration could have disrupted essential production pipelines.
For High QA, the transition carried substantial operational stakes. Their software serves critical infrastructure fields, including aerospace, defense, energy, and medical manufacturing, where
digital quality control is directly tied to regulatory compliance and public safety. Any unexpected system latency or security vulnerability during the move would directly disrupt their clients’ production pipelines.
“At the heart of the business is an advanced machine learning and OCR/AI engine that converts 2D PDF images into structured digital data,” said Ephraim Torenberg, Chief Operating Officer at High QA. “The platform was originally designed to run exclusively on in-house desktop systems,
optimizing computation resources locally and was tightly coupled to shop floor manufacturing environments.”
Modernizing this stack required achieving deterministic performance while adhering to strict
SOC 2 and CMMC 2.0 security standards. To navigate this, High QA sought a partner that could integrate with their internal culture while providing specialized AWS expertise.
Specialized tech companies with proprietary AI systems often encounter internal resistance, as the original creators can be protective of their code and skeptical of external vendors. For High QA, shifting from an exclusive in-house development philosophy to an external partnership represented a major strategic evolution.
Commit was selected for its background in manufacturing workflows and cloud infrastructure. The primary challenge was not just technical, but cultural—building trust between Commit’s consultants and High QA’s original developers.
“The engineering team had a strong preference for learning and building capacity in-house,” Torenberg said. “Overcoming this required a partner that could demonstrate technical credibility quickly, align closely with internal stakeholders, and establish a collaborative working model to support long-term success.”
By embedding its engineers directly into the High QA workflow, Commit utilized an “expanded team” model. This ensured shared ownership of the architecture and a transparent transfer of knowledge, allowing High QA to eventually manage the cloud environment independently.
The joint effort resulted in a secure AWS landing zone and robust network segmentation, completed in just 60 days. This new infrastructure successfully mirrors the performance of local deployments while meeting the rigorous CMMC 2.0 and SOC 2 requirements demanded by global industrial clients.
The resulting cloud-native platform provides true global reach while sustaining the exceptional speed and reliability previously limited to local deployments.
Industry 4.0 Implications
This migration serves as a case study for Industry 4.0. It highlights that technical excellence must be paired with organizational alignment to succeed. A partnership built on mutual responsibility allowed High QA to dissolve the barrier between physical manufacturing and cloud performance.
“When we look for a partner, we look for one who truly understands the architecture, operates with transparency and professionalism, offers fair pricing, and is fully committed to our success,” Torenberg said. “With Commit, we found all of these qualities. By expanding our team across geographies, boundaries, and languages, High QA and Commit have become one unified team working toward a shared mission.”
For industrial clients, the outcome delivers an enterprise quality management platform that scales seamlessly worldwide while upholding the strict compliance mandates required by modern manufacturing. The traditional boundary between the physical factory floor and cloud-native
performance has successfully dissolved.
ABOUT COMMIT
Commit is a global technology services firm founded in 2005 with offices in the United States, Israel, Canada, the United Kingdom, and Europe. An AWS Premier Solutions Integration Partner, Commit specializes in cloud architecture, AI-powered solutions, cybersecurity, IoT, and data analytics, with more than 1,200 projects completed for organizations across industries.
commit.us
ABOUT HIGH QA
High QA provides integrated manufacturing Quality Management and Supplier Quality solutions built on the High QA 360 platform, helping manufacturers digitize and automate the full quality lifecycle across aerospace, automotive, medical, defense, energy, and heavy machinery sectors. highqa.com
