India – Altimetrik has achieved the Amazon Web Services (AWS) Generative AI Specialization, a new category within the AWS AI Competency programme that recognises partners with expertise in implementing generative AI technologies for customers.
The Bengaluru-based digital engineering company said the recognition reflects its technical capabilities and customer work involving foundation models and AWS AI services.
Altimetrik has worked with services including Amazon Bedrock AgentCore, Amazon Bedrock, and Amazon SageMaker to develop and deploy generative AI applications. The company said its work is focused on moving generative AI projects from experimentation into production environments.
“Achieving the AWS Generative AI Competency reflects the depth of our engineering expertise in designing and delivering enterprise AI capabilities on AWS,” said Farid Roshan, Global Head of AI Infused Digital at Altimetrik.
“From responsible AI and governance to scalable architectures and emerging agentic patterns, this designation gives our clients added confidence that we’re applying proven engineering practices to turn AI into meaningful business outcomes,” Roshan continued.
“Generative AI delivers the most value when it’s grounded in deep domain understanding,” said Gautam Samanta, Chief Revenue Officer at Altimetrik.
“Across our clients, we’re combining decades of industry knowledge with the right technology capabilities on AWS to help them build AI solutions that scale with their business and stay aligned to their specific industry priorities,” Samanta continued.
The company’s generative AI work is structured around its ALTi AIOS framework, which covers 45 engineering disciplines spanning the design, deployment and governance of enterprise AI systems.
On AWS, Altimetrik uses Amazon Bedrock and SageMaker for applications including task automation, enterprise search, and consolidating information from fragmented data sources. The company said the framework also incorporates controls for security, compliance, and cost monitoring.
“Generative AI is forcing enterprises to confront whether their data, processes, and governance are actually ready for enterprise-scale adoption. The technology is moving faster than most operating environments can absorb it, which makes engineering discipline, governed workflows, and clear human accountability critical,” said Phil Fersht, CEO and Chief Analyst of HFS Research.
“AWS’s validation of Altimetrik’s generative AI capabilities is significant because it demonstrates the company is building for production environments where AI solutions have to work securely, reliably, and at scale, not simply perform well in another pilot,” Fersht continued.
Altimetrik cited a project with a global financial intelligence and analytics provider as an example of its work. The company helped develop a generative AI-focused internal developer platform on AWS using Amazon Bedrock and Titan embeddings.
The platform provides an AI coding assistant and search capabilities across more than 70 code repositories, allowing developers to locate and reuse existing code. Altimetrik said the system was designed with compliance and cost controls.
The AWS Generative AI Specialization is intended to identify partners with validated expertise in developing and implementing enterprise AI agents. According to Altimetrik, these applications can be used for areas including enterprise knowledge management, process automation, customer operations, financial operations, and supply chain management.
“Generative AI is moving beyond experimentation, but scaling it requires more than capable models,” said Jimit Arora, CEO of Everest Group.
“Enterprises need trusted data, embedded governance, observability, clear accountability, and the ability to integrate AI safely across real business workflows. Altimetrik’s AWS Generative AI recognition reflects the market’s shift toward production-grade generative AI and measurable business outcomes,” Arora continued.
