Mactores Cognition, Inc. partners with AWS to deliver production-grade generative and agentic AI, modernizing data platforms and applications with automation-firstMactores Cognition, Inc. partners with AWS to deliver production-grade generative and agentic AI, modernizing data platforms and applications with automation-first

Mactores Cognition Rises As AWS Native Thought Leader Setting The Gold Standard For Production GenAI

2026/02/26 11:48
6 min read

Mactores Cognition, Inc. partners with AWS to deliver production-grade generative and agentic AI, modernizing data platforms and applications with automation-first methods that accelerate migrations, cut costs, and enable secure, governed AI workflows for highly regulated global enterprises.

Mactores Cognition, Inc. (Mactores), a full-stack AI services and modernization company, highlighted its role as a leading AWS-native partner helping enterprises move from generative AI pilots to production-grade, agentic AI embedded in core business operations.

In a recent engagement in Bellevue, Washington, executives at a global insurer watched as an AI system from Mactores transformed workflows that once took days into actions completed in minutes. Software “agents” retrieved data, analyzed scenarios, and proposed next steps, all running on Amazon Web Services (AWS) and directly wired into production systems. That moment reflects nearly two decades of groundwork by Mactores to build and modernize the data and cloud infrastructure that now powers this new phase of enterprise AI.

Founded in 2008, Mactores established its early reputation on cloud and data foundations: migrating workloads onto AWS, building analytics platforms, and introducing DevOps when many enterprises were still cautious about public cloud adoption. Co-founders Balkrishna (Bal) Heroor and Nandan Umarji set a clear mission from the start: help businesses “turn data chaos into clarity” through automation-first delivery. By 2015, those efforts earned Mactores AWS Advanced Consulting Partner status, followed by AWS competencies in DevOps, Data & Analytics, Machine Learning, and Migration and Modernization.

A major inflection point came in October 2025, when Mactores entered a Strategic Collaboration Agreement with AWS and achieved the AWS Generative AI Competency. This combination places Mactores in a select group of partners validated to lead large-scale GenAI programs on AWS. Under the agreement, Mactores and AWS are co-funding innovation programs designed to help customers deploy production-ready GenAI solutions up to 80% faster than traditional approaches, leveraging services such as Amazon Bedrock and Amazon SageMaker. For a firm that has delivered more than 500 projects for over 50 enterprise clients, the collaboration marks a public affirmation of its evolving leadership.

Mactores’ strategy focuses on moving enterprises from experimental GenAI pilots to robust production systems that can withstand scrutiny from auditors, regulators, and finance leaders. While many organizations report experimenting with GenAI, far fewer see meaningful ROI, largely due to brittle data foundations, unclear use cases, and immature governance. In response, Mactores positions itself not as a builder of standalone chatbots but as a designer of end-to-end “agentic workflows” on AWS.

The company’s portfolio centers on three AI agents, all built on AWS-native services to coordinate retrieval, reasoning, and action within existing security and compliance controls. Across these agents, Mactores reports 70–80% automation of manual workloads, four- to five-fold gains in throughput, latency reductions of up to 65%, and cost reductions of roughly 38–42%. Since launching its GenAI practice, Mactores has completed more than 50 enterprise assessments and estimates that clients have collectively saved over $200 million through workflow automation, spanning healthcare claims review, legal and IP processes, customer support, and private equity and financial analytics platforms.

To de-risk adoption, Mactores relies on its “Proof of Value” framework, an outcome-focused engagement model that begins with a 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 and governance requirements defined from the outset. According to the company, modernization programs using this model are delivered up to five times faster at one-third the cost of traditional approaches, with automation rates around 90% and success rates near 99%.

The growth arc that brought Mactores to this point reflects deliberate choices about how far and how fast to push automation. In recent years, the company has leaned into highly regulated sectors where its agents help cut manual claim review times by more than 60%, lower per-call support costs from about $50 to roughly $2, and enable decision-making up to 10 times faster without breaching compliance lines. This push is coupled with sustained investment in governance, emphasizing explainability, data privacy, and auditability across the AI lifecycle.

Internally, Mactores has built a culture to support that stance. The company allocates about one day per week for learning and certifications, often supporting four to five AWS-related certifications per employee annually. Its teams operate under principles such as “Be One Step Ahead” and “Own It,” encouraging engineers to challenge assumptions and to automate away repetitive tasks, even when that reduces traditional consulting hours.

“Enterprises are no longer satisfied with GenAI pilots that never leave the lab,” said Bal Heroor, co-founder and CEO of Mactores. “We’re proving that GenAI is not just about experimentation; it’s about delivering real business outcomes today — with the governance, security, and reliability that production systems demand.”

As the market shifts from GenAI “theater” to GenAI infrastructure, Mactores is betting that being AWS-native, outcomes-focused, and, at times, deliberately restrained will prove more durable than chasing every new model capability. The company measures success not only by speed and savings, but also by the number of critical workflows safely and quietly handed over to AI agents.

About Mactores Cognition, Inc.

Mactores Cognition, Inc. is an AI-first consulting and solutions company that specializes in turning complex, legacy enterprise environments into modern, AWS-native, automation-led ecosystems. The company focuses on three core pillars: data platforms, application and database modernization, and intelligent apps powered by AI agents. With hundreds of projects delivered for global enterprises, Mactores is known for outcome-based engagements that emphasize speed, governance, and measurable ROI rather than traditional time-and-materials models. Its teams combine deep AWS expertise with an “agentic workflow” to help clients safely move from GenAI pilots to production-grade systems.

Contact Info:
Name: Dan Marks, VP, Business
Email: Send Email
Organization: Mactores Cognition, Inc.
Address: Bellevue, Washington
Website: http://www.mactores.com

Release ID: 89184386

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