Company Docs
Find company documents
Fetch company documents by category, keyword, or supported identifiers
GET /company-docs-v1
| Parameter | Type | DataType | Description |
|---|---|---|---|
| search | query | string | Search term for document title or category |
| start_date | query | datetime | Fetch docs on or after this date (default: now - 4 weeks) |
| end_date | query | datetime | Fetch docs on or before this date (default: now) |
| bloomberg_ticker | query | string | Filter to one or more bloomberg tickers (comma-separated) |
| isin | query | string | Filter to one or more ISINs (comma-separated) |
| cusip | query | string | Filter to one or more CUSIPs (comma-separated) |
| ric | query | string | Filter to one or more RICs (comma-separated) |
| permid | query | string | Filter to one or more PermIDs (comma-separated) |
| watchlist_id | query | integer | Filter by watchlist ID |
| index_id | query | integer | Filter by market index ID |
| sector_id | query | integer | Filter by GICS sector ID |
| subsector_id | query | integer | Filter by GICS subsector ID |
| categories | query | string | Comma-separated list of categories |
| exclude_categories | query | string | Comma-separated list of categories to exclude |
| keywords | query | string | Comma-separated list of keywords |
| exclude_keywords | query | string | Comma-separated list of keywords to exclude |
| include_delisted | query | boolean | Whether to include delisted equities (default: true) |
| company_rollup | query | boolean | Whether to rollup to all company equities (default: true) |
| page | query | integer | The page of results to return |
| page_size | query | integer | The size of pages to return (default: 100, min: 10, max: 100) |
NOTE
- Only one identifier (bloomberg_ticker, isin, cusip, ric, ticker, or permid) should be used per request. Providing multiple identifiers will end up resolving only one of them.
- Date Ranges cannot exceed 31 days.
Request
https://premium.aiera.com/api/company-docs-v1?bloomberg_ticker=AMZN:US&start_date=2024-03-01&end_date=2024-03-31
Response
{
"params": {
"start_date": "2024-03-01T00:00:00",
"end_date": "2024-03-31T23:59:59.999999",
"bloomberg_ticker": "AMZN:US",
"include_delisted": true,
"company_rollup": true,
"page_size": 100,
"from_index": 0
},
"pagination": {
"total_count": 8,
"current_page": 1,
"total_pages": 1,
"page_size": 8
},
"data": [
{
"doc_id": 4922978,
"company": {
"company_id": 1,
"common_name": "Amazon",
"legal_name": "Amazon.com Inc",
"incorporated_country_code": "US",
"domiciled_country_code": "US"
},
"publish_date": "2024-03-26",
"category": "press_release",
"title": "BrainBox AI Launches ARIA, a Generative AI-Powered Virtual Building Assistant Built on Amazon Bedrock",
"source_url": "https://press.aboutamazon.com/aws/2024/3/brainbox-ai-introduces-aria-the-worlds-first-generative-ai-powered-virtual-building-assistant",
"summary": [
"The document announces that BrainBox AI has introduced ARIA (Artificial Responsive Intelligent Assistant) on March 26, 2024, describing it as the world’s first generative AI-powered virtual building assistant for commercial and retail facilities. Built on Amazon Bedrock and leveraging AWS services including AWS Lambda, AWS Fargate, and Amazon Athena, ARIA integrates into day-to-day building management to streamline operations, optimize energy use, and support decarbonization efforts.",
"ARIA is positioned as a proactive, predictive assistant for facility managers, offering a 360-degree view of building data and focusing on systems and components to make accurate, holistic recommendations. It supports two-way interaction via text or voice across desktop and mobile, operates continuously to prioritize and optimize buildings, and aims to shift building management from reactive to proactive while enabling staff to offload repetitive tasks and analytics.",
"The release highlights that ARIA, combined with BrainBox AI’s core autonomous HVAC technology, can reduce HVAC energy costs by up to 25% and greenhouse gas emissions by up to 40%, contributing to organizations’ sustainability and operational efficiency goals. It also notes BrainBox AI’s collaboration with AWS and research institutions, its role in the decarbonization movement, and invites readers to learn more about ARIA via short videos, reinforcing the company’s mission to use AI to make buildings smarter, greener, and more efficient."
],
"keywords": [
"virtual building assistant",
"generative AI",
"ARIA",
"facility management",
"building operations",
"energy optimization",
"HVAC optimization",
"carbon emissions reduction",
"decarbonization",
"sustainability",
"predictive analytics",
"autonomous control",
"commercial real estate",
"retail facilities",
"AWS Lambda",
"AWS Fargate",
"Amazon Athena",
"Amazon Bedrock",
"built environment",
"building efficiency"
],
"processed": "2025-12-14T02:23:08",
"created": "2025-12-14T01:51:37",
"modified": "2026-01-02T19:22:05"
},
{
"doc_id": 4921000,
"company": {
"company_id": 1,
"common_name": "Amazon",
"legal_name": "Amazon.com Inc",
"incorporated_country_code": "US",
"domiciled_country_code": "US"
},
"publish_date": "2024-03-21",
"category": "press_release",
"title": "Compute for Climate Fellowship Announces Inaugural Winners and Opens Applications for 2024",
"source_url": "https://press.aboutamazon.com/aws/2024/3/compute-for-climate-fellowship-announces-inaugural-winners-and-opens-applications-for-2024",
"summary": [
"The International Research Centre on Artificial Intelligence (IRCAI), under the auspices of UNESCO, and a global cloud provider announced the first cohort of startups selected for the Compute for Climate Fellowship, a program that funds proof-of-concept projects using advanced cloud computing and artificial intelligence to address climate change. Four startups were chosen: Coastal Carbon, which develops AI-driven satellite-based models to track underwater vegetation and ocean blue carbon sequestration; Phytoform Labs, which uses biotechnology and AI to create more climate-resilient crops; Realta Fusion, which is building compact magnetic mirror fusion systems and will run plasma stability simulations in the cloud; and Xatoms, which leverages AI and quantum computing to discover new molecules for water purification. The fellowship provides fully funded POCs, technical resources, and access to research expertise, with an emphasis on ethical AI and alignment with sustainable development goals.",
"The release highlights that the fellowship’s first call for applications drew submissions from startups in 24 countries addressing a broad range of climate action themes, including sustainable agriculture, renewable energy optimization, biodiversity protection, and climate risk management. Winners were selected based on potential environmental impact, scalability, and contribution to global emissions reductions. Program leaders underscore the urgency of accelerating climate solutions and the role of state-of-the-art cloud technologies, including generative AI, in enabling complex modeling and innovation in areas such as fusion power, clean water, and drought-resilient crops.",
"The document also announces the opening of applications for the 2024 round of POC builds and expands the scope of eligible proposal areas to eight key themes: clean energy; low-carbon transportation; sustainable agriculture and food; circular economy, manufacturing, and industry; sustainable buildings; greenhouse gas accounting and sustainability management; carbon removal; and environment and climate risk (including water, pollution, and biodiversity). The program will provide up to $1.5 million in cloud credits for selected POCs. Submissions received by June 7, 2024, will be considered, with priority given to projects that can be completed in 2–3 months, think big, and show strong potential environmental benefits and scalability.",
"Applicants not selected for the fellowship will still receive benefits such as access to up to $5,000 in cloud credits through an activate program, along with free workshops and training on advanced compute services and an invitation to join IRCAI’s Industrial Club. The release concludes with background information on IRCAI and UNESCO, emphasizing their mission to advance AI research and applications aligned with the United Nations Sustainable Development Goals, and provides media contact details for IRCAI’s Chief Operating Officer."
],
"keywords": [
"compute for climate fellowship",
"international research centre on artificial intelligence",
"IRCAI",
"UNESCO",
"cloud computing",
"advanced compute",
"generative AI",
"artificial intelligence",
"climate change mitigation",
"climate change adaptation",
"climate tech startups",
"proof of concept funding",
"satellite imagery",
"underwater vegetation",
"blue carbon",
"ocean carbon removal",
"crop genetics",
"climate-resilient crops",
"fusion energy",
"magnetic mirror fusion",
"plasma stability simulation",
"water purification",
"quantum computing",
"sustainable agriculture",
"renewable energy optimization",
"biodiversity protection",
"climate risk management",
"clean energy",
"low-carbon transportation",
"circular economy",
"manufacturing",
"sustainable buildings",
"greenhouse gas accounting",
"sustainability management",
"carbon removal",
"environmental monitoring",
"pollution",
"biodiversity",
"climate risk",
"united nations sustainable development goals",
"AWS credits",
"startup accelerator",
"industrial club"
],
"processed": "2025-12-14T01:03:26",
"created": "2025-12-14T00:41:24",
"modified": "2026-01-02T21:49:04"
},
{
"doc_id": 4922614,
"company": {
"company_id": 1,
"common_name": "Amazon",
"legal_name": "Amazon.com Inc",
"incorporated_country_code": "US",
"domiciled_country_code": "US"
},
"publish_date": "2024-03-21",
"category": "press_release",
"title": "Upstage Launches Small Language Model on AWS to Help Businesses Around the World Build and Scale Generative AI Applications for the Korean Market",
"source_url": "https://press.aboutamazon.com/aws/2024/3/upstage-launches-small-language-model-on-aws-to-help-businesses-around-the-world-build-and-scale-generative-ai-applications-for-the-korean-market",
"summary": [
"On March 21, 2024, Upstage announced the launch of its SOLAR MINI small language model (SLM) on the cloud, making the model available via Amazon SageMaker JumpStart and on AWS Marketplace. SOLAR MINI is offered in Korean and English today, with Thai and Japanese planned later in the year, and can be fine-tuned with domain-specific data to accelerate development of generative AI applications.",
"SOLAR MINI is a lightweight SLM using fewer than 20 billion parameters (trained with a 10.7 billion-parameter dataset), designed for lower-cost inference compared with very large models. The model supports tasks such as understanding, summarization, translation, and content prediction, and is positioned as an easier-to-deploy alternative for enterprises that do not want to train models from scratch.",
"Upstage trained and tuned SOLAR MINI using cloud compute and advanced preprocessing and fine-tuning techniques, including Retrieval-Augmented Generation (RAG). Training leveraged high-quality, copyright-free Korean datasets assembled by the 1 Trillion Token Club to improve cultural nuance, factual accuracy, and reduce hallucinations.",
"SOLAR MINI received recognition on open benchmarks, being ranked top among open-source large-scale SLMs on a prominent Open LLM Leaderboard with a score of 74.2 for reasoning, commonsense inference, hallucination prevention, contextual understanding, and factual accuracy—demonstrating performance comparable to larger models while offering GPU cost savings.",
"The release highlights commercial adoption and industry use cases: ConnectWave used SOLAR MINI to build a private LLM for ecommerce product catalogs and customer workflows; Qanda is developing math-focused tutoring models; other named customers include Metaverse Entertainment, Quora, and Qanda. Target industries include entertainment, healthcare, research, ecommerce, and education.",
"Contextual business notes: Upstage credits cloud provider support for training and scaling, opened a US branch in Silicon Valley in March 2024, and emphasizes data security and document AI/OCR capabilities. The release also references significant planned cloud infrastructure investment in South Korea through 2027."
],
"keywords": [
"SOLAR MINI",
"small language model",
"SLM",
"multilingual model (Korean, English, Thai, Japanese)",
"fine-tuning",
"Retrieval-Augmented Generation",
"1 Trillion Token Club",
"hallucination prevention",
"cost-efficient inference",
"ecommerce personalization",
"education AI",
"document OCR"
],
"processed": "2026-02-04T18:19:20",
"created": "2025-12-14T01:38:08",
"modified": "2026-02-04T18:29:54"
},
{
"doc_id": 4921663,
"company": {
"company_id": 1,
"common_name": "Amazon",
"legal_name": "Amazon.com Inc",
"incorporated_country_code": "US",
"domiciled_country_code": "US"
},
"publish_date": "2024-03-20",
"category": "press_release",
"title": "Danske Bank Signs Multiyear Cloud Technology Agreement with AWS to Advance Digital Transformation",
"source_url": "https://press.aboutamazon.com/2024/3/danske-bank-invests-in-cloud-technology-and-signs-a-multiyear-agreement-with-aws",
"summary": [
"On March 20, 2024, Danske Bank announced a multiyear agreement with Amazon Web Services (AWS) as part of its Forward’28 strategy to enhance digital solutions, expand self-service options, and deliver faster access to everyday banking services while improving operational efficiency. The bank plans to migrate selected infrastructure, applications, and data for personal, business, and institutional customers from its private cloud to AWS, enabling access to a broad set of cloud applications, services, and functionality to modernise its technology stack.",
"Danske Bank emphasizes that leveraging AWS will support innovation, improve the banking experience, and help meet customer expectations for simple, efficient, and secure digital services. The collaboration will enable developers to more quickly build, test, and launch next-generation banking services while addressing security, regulatory, and sustainability requirements. The bank will provide AWS training to more than 1,500 employees and integrate cloud skills into management courses to accelerate cloud adoption.",
"As part of a company-wide technology transformation, Danske Bank aims to increase the use of cloud, data, and AI to speed development of customer solutions and extend productivity gains across the organisation. The plan includes migrating over 16,600 virtual and physical servers and more than 1,000 applications to AWS, and using AWS’s AI, machine learning, and generative AI capabilities to boost developer productivity, power conversational interfaces, deliver personalised recommendations, and extract insights from customer interactions to continuously enhance the digital banking experience."
],
"keywords": [
"cloud technology",
"multiyear agreement",
"digital transformation",
"Forward’28 strategy",
"infrastructure migration",
"applications migration",
"data migration",
"private cloud",
"operational efficiency",
"digital banking",
"self-service options",
"online services",
"developer productivity",
"security requirements",
"regulatory requirements",
"sustainability requirements",
"employee training",
"cloud adoption",
"artificial intelligence",
"machine learning",
"generative AI",
"conversational interfaces",
"personalised recommendations",
"customer interactions",
"tech transformation"
],
"processed": "2025-12-14T01:22:59",
"created": "2025-12-14T01:00:29",
"modified": "2026-01-02T20:03:31"
},
{
"doc_id": 4921218,
"company": {
"company_id": 1,
"common_name": "Amazon",
"legal_name": "Amazon.com Inc",
"incorporated_country_code": "US",
"domiciled_country_code": "US"
},
"publish_date": "2024-03-20",
"category": "press_release",
"title": "DFL Deutsche Fußball Liga and AWS Expand Multi-Year Partnership to Drive Innovation with Generative AI",
"source_url": "https://press.aboutamazon.com/2024/3/dfl-deutsche-fussball-liga-and-amazon-web-services-expand-partnership-to-further-drive-innovation-across-bundesliga-and-bundesliga-2",
"summary": [
"On March 20, 2024, the Deutsche Fußball Liga (DFL) and Amazon Web Services (AWS) announced an expanded, multi-year collaboration, extending AWS’s role as the Official Technology Provider and adding the designation of Official Generative AI Provider. Building on a partnership that began in 2020, the enhanced agreement focuses on leveraging generative AI and advanced cloud capabilities to accelerate innovation across Bundesliga and Bundesliga 2, with a stated goal of creating added value for media partners, fans, and the league.",
"The expanded partnership targets three core areas: fan experience, media production, and data services. For fan experience, initiatives include automated translation, personalization, and localization of content. In media production, the DFL is increasing its use of cloud infrastructure for live production and for managing its extensive moving image archive. In data services, the parties will develop more automated recognition of match events and extend the advanced statistics portfolio (Bundesliga Match Facts powered by AWS) to additional leagues.",
"At the SportsInnovation trade fair in Düsseldorf, the DFL subsidiary Sportec Solutions and AWS showcased a generative-AI-based system that uses large language models to produce dynamic, real-time written match commentary in multiple languages, tailored to individual viewers through personalized feeds during broadcasts. DFL CEO Steffen Merkel and AWS Senior Vice President Matt Garman highlighted how the collaboration sets a benchmark in football innovation, enabling new levels of personalization, insights, and operational transformation.",
"Since 2020, the partnership has delivered several notable outcomes. Bundesliga Match Facts powered by AWS has evolved into a comprehensive portfolio of real-time advanced analytics based on official live data. Automated, cloud-based media production and OTT distribution now support all 306 Bundesliga 2 matches with English graphics and analytics, which has more than doubled international broadcasts and nearly quadrupled global reach. The DFL Media Hub, one of the world’s largest digital football archives, now uses AI-generated metadata to improve discoverability across more than 210,000 hours of video.",
"The Bundesliga app has been enhanced through Amazon Personalize, enabling individualized content recommendations that have increased video watch counts, user retention, and extended session lengths by 17%. On the development side, the DFL has adopted Amazon Q Developer, a generative AI-powered assistant that improves developer productivity and supports tasks across the application lifecycle, including feature development and code transformation, enabling faster and more efficient software delivery."
],
"keywords": [
"generative ai",
"cloud infrastructure",
"fan experience",
"personalisation",
"localisation",
"media production",
"data services",
"real-time analytics",
"match statistics",
"automated translation",
"personalized commentary",
"ott distribution",
"digital archive",
"ai-generated metadata",
"content discoverability",
"recommendation engine",
"developer productivity",
"sports technology",
"football league",
"live match data"
],
"processed": "2025-12-14T01:10:12",
"created": "2025-12-14T00:48:15",
"modified": "2026-01-02T20:42:53"
},
{
"doc_id": 4920832,
"company": {
"company_id": 1,
"common_name": "Amazon",
"legal_name": "Amazon.com Inc",
"incorporated_country_code": "US",
"domiciled_country_code": "US"
},
"publish_date": "2024-03-18",
"category": "press_release",
"title": "AWS and NVIDIA Extend Collaboration to Advance Generative AI Innovation",
"source_url": "https://press.aboutamazon.com/2024/3/aws-and-nvidia-extend-collaboration-to-advance-generative-ai-innovation",
"summary": [
"The document announces that the new NVIDIA Blackwell GPU platform, including the GB200 Grace Blackwell Superchip and B100 Tensor Core GPUs, is coming to Amazon Web Services. AWS will offer these GPUs in Amazon EC2 instances and through NVIDIA DGX Cloud to accelerate the training and real-time inference of multi-trillion-parameter large language models at greater scale and lower cost compared with prior-generation NVIDIA GPUs on EC2. The release highlights the 13+ year history of collaboration between the two companies and positions AWS as a leading cloud platform for running NVIDIA GPUs.",
"The announcement details how the NVIDIA Blackwell platform on AWS will integrate with services such as the AWS Nitro System, Elastic Fabric Adapter, Amazon EC2 UltraClusters, and AWS Key Management Service to improve performance and enhance security. Features include inline encryption of NVLink connections, encrypted data transfers across servers via EFA, and use of Nitro Enclaves with KMS to protect training data and model weights, giving customers end-to-end control over their data and model security.",
"The document also describes Project Ceiba, an AI supercomputer built exclusively on AWS for NVIDIA’s internal research and development. Project Ceiba will consist of 20,736 B200 GPUs in GB200 NVL72 configurations and associated Grace CPUs, connected with fourth-generation EFA networking to deliver up to 414 exaflops of AI performance, representing a sixfold performance increase versus earlier Hopper-based plans. NVIDIA intends to use Ceiba to advance research in LLMs, graphics and simulation, digital biology, robotics, autonomous vehicles, climate modeling, and other generative AI domains.",
"Additionally, AWS and NVIDIA are expanding their collaboration in software and industry solutions. Amazon SageMaker will integrate with NVIDIA NIM inference microservices, enabling customers to deploy pre-compiled and GPU-optimized foundation models more quickly and cost effectively. In healthcare and life sciences, the companies will provide new NVIDIA BioNeMo foundation models and GPU-accelerated generative AI microservices via AWS HealthOmics to support generative chemistry, protein structure prediction, drug discovery, medical technology, digital health, and advanced analytics on biological and healthcare data."
],
"keywords": [
"generative AI",
"Blackwell GPU",
"Grace Blackwell Superchip",
"GB200",
"B100 GPU",
"DGX Cloud",
"large language models",
"LLM training",
"AI inference",
"EC2 UltraClusters",
"Elastic Fabric Adapter",
"EFA networking",
"Nitro System",
"Nitro Enclaves",
"Key Management Service",
"KMS",
"trusted execution environment",
"model weights security",
"data encryption",
"AI supercomputer",
"Project Ceiba",
"exaflops",
"Grace CPU",
"multi-node systems",
"AI infrastructure",
"SageMaker",
"NIM inference microservices",
"AI Enterprise",
"foundation models",
"price performance",
"BioNeMo",
"generative chemistry",
"protein structure prediction",
"drug discovery",
"omics data",
"HealthOmics",
"healthcare AI",
"life sciences",
"cloud endpoints",
"GPU-accelerated microservices"
],
"processed": "2025-12-14T00:57:50",
"created": "2025-12-14T00:35:49",
"modified": "2026-01-02T21:57:04"
},
{
"doc_id": 4922487,
"company": {
"company_id": 1,
"common_name": "Amazon",
"legal_name": "Amazon.com Inc",
"incorporated_country_code": "US",
"domiciled_country_code": "US"
},
"publish_date": "2024-03-14",
"category": "press_release",
"title": "Introducing the Next-Generation Blink Mini 2 — A New Compact Plug-In Camera That Works Both Indoors and Outdoors",
"source_url": "https://press.aboutamazon.com/2024/3/introducing-the-next-generation-blink-mini-2-a-new-compact-plug-in-camera-that-works-both-indoors-and-outdoors",
"summary": [
"The document announces the launch of the next-generation Blink Mini 2, a compact plug-in security camera that can be used indoors by default and outdoors when paired with the new Blink Weather Resistant Power Adapter. The camera offers enhanced image quality, improved low-light performance, a wider field of view, and a built-in LED spotlight that enables night view in color. It leverages a custom-built chip to support on-device computer vision features, including person detection, which is available with a paid subscription plan.",
"Blink positions the Mini 2 as an affordable device with premium capabilities, highlighting that it maintains a small, sleek form factor while adding significant functionality. The camera can be installed in a variety of locations around the home, and, when used with the weather-resistant power adapter, is designed to withstand outdoor conditions. Users manage privacy via the Blink app by setting privacy and activity zones, can use two-way talk for communication, and all image processing is performed locally on the device.",
"The device integrates with Alexa through Blink smart home skills, enabling users to receive alerts, check live views on Echo devices, and arm or disarm the camera. A Blink Subscription Plan unlocks additional features such as person detection, cloud video recording, up to 60 days of video history, rapid access to recorded clips, and up to 90 minutes of continuous live view per session. Pricing starts at $39.99 USD for the indoor-only Mini 2 and $49.98 USD when bundled with the Blink Weather Resistant Power Adapter for outdoor use, with availability in the U.S. and Canada as of the publication date."
],
"keywords": [
"Blink Mini 2",
"plug-in camera",
"indoor security camera",
"outdoor security camera",
"weather resistant power adapter",
"LED spotlight",
"night view in color",
"wider field of view",
"enhanced image quality",
"low light performance",
"computer vision",
"person detection",
"smart notifications",
"on-device processing",
"privacy zones",
"activity zones",
"two-way talk",
"smart home security",
"Alexa integration",
"subscription plan",
"cloud video recording",
"video history",
"live view streaming",
"home monitoring",
"pricing",
"U.S. and Canada availability"
],
"processed": "2025-12-14T01:57:50",
"created": "2025-12-14T01:33:18",
"modified": "2026-01-02T19:30:05"
},
{
"doc_id": 4920442,
"company": {
"company_id": 1,
"common_name": "Amazon",
"legal_name": "Amazon.com Inc",
"incorporated_country_code": "US",
"domiciled_country_code": "US"
},
"publish_date": "2024-03-04",
"category": "press_release",
"title": "AWS to Launch an Infrastructure Region in the Kingdom of Saudi Arabia",
"source_url": "https://press.aboutamazon.com/2024/3/aws-to-launch-an-infrastructure-region-in-the-kingdom-of-saudi-arabia",
"summary": [
"The document announces that Amazon Web Services (AWS) will launch a new AWS infrastructure Region in the Kingdom of Saudi Arabia in 2026. This new Region will consist of three Availability Zones at launch and will allow customers to run workloads and store data within Saudi Arabia, addressing data residency preferences while providing lower-latency access across the Middle East. AWS plans to invest more than $5.3 billion (approximately 19.88 billion Saudi riyal) in the country, reflecting a long-term commitment to supporting the Kingdom’s digital transformation and Vision 2030 objectives.",
"The release highlights how the new Region will give a wide range of customers—enterprises, startups, public sector entities, and nonprofits—access to the full portfolio of AWS services, including compute, storage, databases, analytics, artificial intelligence, and machine learning. It explains AWS’s resilient infrastructure design based on multiple, geographically separate Availability Zones. The announcement includes endorsements from Saudi government officials and key corporate customers who emphasize the importance of the Region for innovation, operational efficiency, and economic diversification.",
"Beyond infrastructure, AWS outlines several initiatives to develop local digital skills and talent. These include the AWS Saudi Arabia Women’s Skills Initiative to train up to 4,000 women on cloud fundamentals, expansion of AWS Academy and other training programs, and the launch of Amazon Academy in Saudi Arabia to train over 30,000 citizens in cloud, logistics, and retail, with 35,000 certification vouchers and 100 internships. AWS will also establish two new innovation centers, provide mentorship to startups, support graduate research with grants, and offer free AWS Skill Builder subscriptions for workers at small and medium enterprises.",
"The document further notes strong support from existing customers and partners in the region—such as Abdul Latif Jameel, Almarai, Almosafer, Mobily, Red Sea Global, stc Group, SAP, Genesys, and Zain—who expect the new Region to accelerate digital transformation, enable advanced AI and generative AI solutions, and enhance competitiveness. It also reiterates Amazon’s broader sustainability commitments, including achieving net-zero carbon by 2040, powering operations with 100% renewable energy by 2025, maintaining a large global portfolio of renewable energy projects, and making AWS water positive by 2030."
],
"keywords": [
"cloud infrastructure",
"infrastructure region",
"Saudi Arabia",
"Middle East",
"data residency",
"availability zones",
"digital transformation",
"Vision 2030",
"capital investment",
"cloud services",
"artificial intelligence",
"machine learning",
"analytics",
"Internet of Things",
"training programs",
"workforce development",
"upskilling",
"women empowerment",
"technical education",
"innovation centers",
"startups",
"graduate research",
"SMEs",
"digital skills",
"enterprise IT",
"public sector",
"latency",
"resilience",
"sustainability",
"renewable energy",
"net-zero carbon",
"water positive",
"telecommunications",
"tourism",
"logistics",
"retail technology"
],
"processed": "2025-12-14T00:43:35",
"created": "2025-12-14T00:21:32",
"modified": "2026-01-02T22:07:04"
}
]
}
Code Samples
Bash
curl --request GET \
--url 'https://premium.aiera.com/api/company-docs-v1' \
--header 'X-API-Key: xxx'
Python
import requests
requests.request("GET", "https://premium.aiera.com/api/company-docs-v1", headers={"X-API-Key": "xxx"})