AI Buyer Insights:

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

List of Amazon Inferentia Customers

Apply Filters For Customers

Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
HCLTech Professional Services 223420 $13.6B India Amazon Web Services (AWS) Amazon Inferentia ML and Data Science Platforms 2023 n/a In 2023, HCLTech announced a collaboration with Amazon Web Services that explicitly included deployment of Amazon Inferentia as part of its GenAI infrastructure. The announcement made in New York and Noida on August 23, 2023 links HCLTech to AWS GenAI offerings and identifies Amazon Inferentia by name, Apps Category "". HCLTech positioned Amazon Inferentia to accelerate model inference workloads within an AWS-centric architecture alongside Amazon Bedrock, Amazon Titan and AWS Trainium, while using Amazon CodeWhisperer across its engineering organization. The implementation narrative centers on using Amazon Inferentia for high-throughput, low-latency inference serving for GenAI models, combined with model development workflows that leverage CodeWhisperer for developer productivity and secure code generation. HCLTech also described integration points between its Advantage Cloud platform and AWS developer tooling to automate migration and rehosting, with a centralized dashboard to plan and monitor treatments. Operational scope described in the announcement covers internal use by over 50,000 HCLTech engineers, cloud practitioners and developers, and extension of capabilities to client engagements including industry-specific solutions such as Ziva for financial services. Governance emphasis in the collaboration centers on responsible AI practices and secure application development, with HCLTech committing to instrumenting developer workflows and cloud migration dashboards to manage rollout and oversight across its AWS deployments.
Mimecast Professional Services 649 $240M United Kingdom Amazon Web Services (AWS) Amazon Inferentia ML and Data Science Platforms 2024 n/a In 2024, Mimecast implemented Amazon Inferentia as a core inference accelerator within its AWS-hosted AI stack. Apps Category: Mimecast deployed Amazon Inferentia alongside Amazon SageMaker to host and run hundreds of deep learning models that profile human communication patterns for email protection. The implementation focused on low-latency inference, enabling per-message analysis in approximately 200 milliseconds while processing roughly two billion emails daily, and it leverages Amazon Inferentia chips to reduce inference cost by about 40 percent as reported by the vendor. Amazon Inferentia is explicitly used to scale high-throughput model serving for production-grade, real-time threat detection. The functional scope centers on human risk management and email security, where models analyze writing style, timing, tone, and thousands of input factors to detect AI-generated and anomalous messages with high confidence. Operational coverage includes global email protection for over 26 million end users, and the deployment runs inside Amazon SageMaker for model hosting, model development workflows, and continuous inference. Integrations are concentrated on the AWS AI stack, with Amazon SageMaker providing orchestration and Amazon Inferentia providing optimized inference acceleration. Governance and product rollout were driven by co-development with AWS, incorporating AWS design best practices for efficient model operation and accelerated time to market. Mimecast used AWS Marketplace for strategic go-to-market support and launched a new social engineering protection service within one year, a timeline the company attributes to the integrated AWS tooling and deployment pattern. The implementation emphasizes operational reliability, model lifecycle management in SageMaker, and infrastructure abstraction so the security engineering teams can focus on model improvement rather than low-level infrastructure. Outcomes explicitly stated by Mimecast include reduced inference costs through Amazon Inferentia and prevention of approximately USD 2.5 million in fraudulent transfers per month by a newly launched product. The architecture prioritizes high-throughput, low-latency inference for production security workloads, with model hosting and inference concentrated on Amazon SageMaker and Amazon Inferentia to balance performance, scale, and cost.
Showing 1 to 2 of 2 entries

Buyer Intent: Companies Evaluating Amazon Inferentia

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Amazon Inferentia. Gain ongoing access to real-time prospects and uncover hidden opportunities.

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
No data found
FAQ - APPS RUN THE WORLD Amazon Inferentia Coverage

Amazon Inferentia is a ML and Data Science Platforms solution from Amazon Web Services (AWS).

Companies worldwide use Amazon Inferentia, from small firms to large enterprises across 21+ industries.

Organizations such as HCLTech and Mimecast are recorded users of Amazon Inferentia for ML and Data Science Platforms.

Companies using Amazon Inferentia are most concentrated in Professional Services, with adoption spanning over 21 industries.

Companies using Amazon Inferentia are most concentrated in India and United Kingdom, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Amazon Inferentia across Americas, EMEA, and APAC.

Companies using Amazon Inferentia range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 50%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 50%.

Customers of Amazon Inferentia include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Amazon Inferentia customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of ML and Data Science Platforms.