Mactores Cognition, Inc. announces its rise as an AWS-native leader in production-grade generative and agentic AI, leveraging a strategic AWS collaboration and specialized competencies to deliver faster, governed, automation-first modernization with measurable cost savings and performance gains for regulated enterprises.
— Mactores Cognition, Inc. (Mactores), a full-stack AI services and modernization company, announced its emergence as a leading AWS-native partner for production-grade generative and agentic AI, helping enterprises move from isolated AI experiments to secure, end-to-end AI-driven workflows embedded in their most critical business systems.
Photo Courtesy of Mactores Cognition Inc.
Founded in 2008, long before “GenAI” entered the mainstream, Mactores built its reputation on modernizing data platforms and cloud infrastructure for enterprises across highly regulated industries. Early work focused on AWS implementations, data and application migrations, and DevOps practices at a time when many organizations were still cautious about public cloud adoption. From the outset, Mactores’ mission has been to help businesses “turn data chaos into clarity” through automation-first execution.
Over the years, that mission has translated into a deep and expanding relationship with Amazon Web Services (AWS). In 2015, Mactores became an AWS Advanced Consulting Partner and subsequently achieved multiple AWS competencies, including DevOps, Data & Analytics, Machine Learning, and Migration and Modernization. These designations recognize proven technical expertise and successful customer outcomes at scale and laid the foundation for Mactores’ current leadership in production GenAI.
A major inflection point came in October 2025, when Mactores entered a Strategic Collaboration Agreement (SCA) with AWS and achieved the AWS Generative AI Competency. This combination places Mactores among a select group of partners validated to lead large-scale enterprise GenAI programs. Under the SCA, Mactores and AWS are co-investing in joint programs designed to help organizations deploy production-ready GenAI solutions up to 80 percent faster than traditional methods, leveraging services such as Amazon Bedrock and Amazon SageMaker.
Building on this momentum, Mactores has also been recognized with an AWS Agentic AI Specialization and AWS Healthcare Competency, underscoring its ability to design and operate secure, governed AI solutions in some of the world’s most regulated sectors. Across its three flagship AI agents, Mactores reports 70–80% automation of previously manual tasks, four- to five-fold increases in throughput, latency reductions of up to 65%, and cost reductions of up to 40% on targeted workloads.
Rather than focusing on standalone chat interfaces, Mactores designs “agentic workflows” that embed AI agents directly into existing business processes and systems on AWS. Its full-stack model spans three core pillars: modern data platforms, application and database modernization, and intelligent apps that weave AI agents into day-to-day user experiences. These agents coordinate data retrieval, reasoning, and action while operating within customers’ existing identity, security, and compliance frameworks.
Since formally launching its GenAI and agentic AI practice, Mactores has completed more than 50 enterprise assessments and estimates that clients have collectively realized over $200 million in savings through automation and performance gains. Use cases span healthcare claims review, legal and IP workflows, customer support, and private equity and financial analytics platforms. In many engagements, customers have reduced manual claim review time by more than 60 percent, cut support costs from approximately $50 per call to about $2, and enabled decision-making up to 10 times faster, all while maintaining strict compliance requirements.
Central to these outcomes is Mactores’ “Proof of Value” (PoV) framework, an outcome-based engagement model that starts with a structured readiness assessment and prioritized use-case selection. The framework is designed to take customers from exploration to a KPI-driven minimum viable product in roughly 90 days, with security, governance, and measurable business impact defined up front. Mactores reports modernization programs delivered up to five times faster at one-third the cost of traditional approaches, with automation rates around 90 percent and success rates near 99 percent.
As enterprises accelerate their adoption of agentic AI, industry observers have cautioned that many projects risk failure due to unclear business value, weak data foundations, or inadequate governance. Mactores positions its automation-first, AWS-native model as a direct response to those challenges, emphasizing hardened data platforms, transparent architectures, and rigorous governance controls as non-negotiable elements of every deployment.
“Our customers don’t just want AI that can generate content; they need AI agents that can securely take action in highly regulated environments,” Heroor said. “What most people don’t realize is that almost every breakthrough we ship starts with saying no to use cases that look exciting but fail our governance tests.”
Internally, Mactores has built a culture to match that stance. The company allocates roughly one day per week for learning and certifications, often supporting four to five AWS-related certifications per employee annually. Its team operates under core leadership principles such as “Be One Step Ahead,” “Deliver the Best,” “Be Bold,” “Own It,” and “Be Collaborative,” encouraging engineers to challenge assumptions, scrutinize model behavior, and automate away their own repetitive tasks — even when that reduces traditional consulting hours.
“What most people don’t know about our industry,” a Mactores spokesperson observed, “is that the hardest conversations right now are not about model quality; they’re about telling a customer we will take less work if it means a safer and more scalable GenAI deployment.”
As the market shifts from GenAI “theater” to GenAI infrastructure, Mactores is betting that being AWS-native, relentlessly outcomes-focused, and, at times, deliberately restrained will prove more durable than simply chasing every new model capability. The company measures success not by the size of its project teams, but by the number of critical workflows safely and quietly handed over to AI agents.
About Mactores Cognition, Inc.
Mactores Cognition, Inc. is a full-stack AI services and modernization company specializing in AWS-native data platforms, application and database modernization, and intelligent, agentic AI applications. The company helps enterprises turn “data chaos into clarity” by using GenAI-powered agents and automation-first delivery models to accelerate complex migrations and transformations at lower cost and risk. Since 2008, Mactores has supported highly regulated industries with secure, production-grade AI and cloud solutions. Backed by multiple AWS competencies and a Strategic Collaboration Agreement with AWS, Mactores focuses on measurable business outcomes rather than traditional headcount-based consulting.
Contact Info:
Name: Dan Marks, VP, Business
Email: Send Email
Organization: Mactores Cognition, Inc.
Address: Bellevue, Washington
Website: http://www.mactores.com
Release ID: 89184383
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