Earned on audited evidence of governed, production-grade Generative AI and Agentic AI systems built on AWS.

Pune, India & Austin, TX – August 25, 2026 – Zimetrics, a digital solutions engineering firm specializing in data platforms, AI systems and cloud-native digital products, today announced it has achieved the AWS AI Competency. According to AWS, fewer than 40% of organizations have progressed beyond the experimental phase of AI adoption. The AWS AI Competency identifies the validated experts closing that gap, on the evidence of audited, in-production customer deployments.

The designation validates Zimetrics’ technical expertise and demonstrated customer success across the competency’s Generative AI and Agentic AI categories. The review required audited proof of what the other 60% are still working toward: AI running in production under the security, reliability, and governance those systems demand.

This marks Zimetrics’ fourth AWS Competency, joining its Advertising & Marketing Technology Competency, Healthcare Competency, and Life Sciences Competency designations and further strengthens its standing as an AWS Advanced Tier Services Partner.

The Engagement That Earned The Designation

The AWS Competency review was anchored in audited customer deployments demonstrating production-grade AI engineering:

• Agentic AI | Warehouse Automation: Document Capture and Validation at Scale. Replaced a manual, error-prone document-tracking process with an automated capture, validation, and extraction pipeline that handles the low-quality scans and damagedpackage records previously passing unchecked into final distribution. Built on Amazon Bedrock, AWS Lambda, AWS Step Functions, Amazon Aurora, Amazon S3, and Amazon API Gateway, the solution reduced manual effort and data rework by 70 to 75% and improved ROI by 20 to 30% through compliant, reusable, and accurate data
  
• Generative AI | Marketing Asset Search and Knowledge Assistant: Campaign Intelligence Without SQL Query. Built an AI knowledge assistant that lets marketing teams interrogate campaign performance in plain language, removing the analyst dependency that had been delaying every insight. An intelligent document processing pipeline ingests and indexes campaign reports, creative assets, and performance data from Meta Ads, marketing databases, and SharePoint, which the assistant queries alongside automated SQL generation to cover spend, funnel, audience, and creative analysis. Built on Amazon Bedrock, Amazon OpenSearch Service, Amazon DocumentDB, and Amazon S3, the platform reduced analysis effort by 60 to 70%.
  
• Generative AI and Agentic AI | Care Coordination at Medicaid Scale. Built a HIPAAcompliant, multi-tenant care management platform for a California healthcare company serving underserved Medi-Cal populations. Clinical data from payer and provider feeds is standardized in AWS HealthLake via FHIR and lands in a governed S3 data lake, while AWS Step Functions orchestrate event-driven patient summaries through Amazon Bedrock and Amazon SageMaker models match members to care managers by geography, clinical risk, and capacity. The platform sustains more than 25,000 member engagements a month and has scaled from two to ten partner health plans.

“Most enterprises can get an AI demo working. The hard part starts when it has to run every day, inside real constraints, with someone accountable for the output. This competency was earned on systems doing exactly that, in production, for real customers.”
– Gurvinder Chhatwal, Chief Growth Officer, Zimetrics

PROPRIETARY ACCELERATORS & PARTNER ECOSYSTEM

To help clients compress the distance from concept to production, Zimetrics pairs deep AI engineering expertise with purpose-built accelerators

8nap AI – Governed Agentic AI & ML Platform: 8nap AI accelerates deployment of enterprise AI by orchestrating Amazon Bedrock foundation models and custom Amazon SageMaker pipelines under a unified governance layer. 8nap AI is a lifecycle accelerator, empowering enterprises to build, manage, and scale AI solutions efficiently.

Beyond AWS, Zimetrics operates with a curated partner ecosystem, including Databricks, Snowflake, Salesforce, Adobe, Stripe, Anthropic, and MuleSoft, integrated on or alongside AWS. This enables enterprises to build connected, governed AI and data ecosystems through a single, accountable engineering partner.

About Zimetrics

Zimetrics builds cloud-native data platforms, AI systems, and digital products that drive measurable business outcomes. Founded in 2015 and headquartered in Pune, India, with operations in the U.S., the firm serves AdTech, MarTech, MedTech, FinTech, and Manufacturing clients globally.

As an AWS Advanced Tier Services Partner holding the AWS AI Competency, the Advertising and Marketing Technology Competency, the Healthcare Competency, and the Life Sciences Competency, and complemented by deep practices across leading data, AI, and enterprise ISV platforms, Zimetrics provides end-to-end engineering expertise across North America, Europe, and the Middle East.

Media Contact

Aman Sinha | Senior Manager, Marketing
amans@zimetrics.com | www.zimetrics.com