Can you work alongside our existing engineering team?

Yes — and this is the most common structure for our engagements. GeekyAnts engineers embed alongside your team, transfer knowledge throughout the project, and build systems your team can own and operate independently after delivery. If you need us to own the full build, we can structure it that way too. We adapt to what actually serves your organization.

AWS PARTNER NETWORK MEMBER

AWS Consulting & Cloud Engineering Services

GeekyAnts architects, migrates, and operates cloud environments on AWS — from cloud-native product builds to GenAI platforms to enterprise modernization.

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AWS Consulting & Cloud Engineering Services

550+ Engagements Since 2006 — Trusted By

We have been building production systems on AWS since 2019 — across 600+ clients, 50+ industries, and 1,000+ digital products. We've worked on every layer of the AWS stack and have delivered measurable cost reductions for live production environments.

Our track record has taught us that the technical work is rarely the hard part. The real challenge is understanding what outcome the business needs, and designing the right AWS architecture to achieve it.

WHAT WE DO

Our AWS-Backed Offerings for the AI-First World

Every service below is delivered by consultants and engineers who work on AWS daily.

Enterprise Cloud Transformation

We help enterprises move from monolithic, on-premise architectures to modular, cloud-ready platforms on AWS without disrupting live operations.

Our approach is phased and practical. We prioritize business continuity first and modernization second — because a migration that breaks production is a liability.

CHALLENGES WE SOLVE:

Monolithic systems limit development velocity and innovation
Poor scalability under growing enterprise workloads
Excessive operational complexity from aging infrastructure
Slow release cycles caused by inflexible architecture

AI & Intelligent Application Development

We develop AI-powered applications and design the AWS infrastructure they need to run reliably at scale — from document intelligence platforms to recommendation engines to automated workflow systems. If your AI initiative is stuck between prototype and production, this is the conversation to have.

CHALLENGES WE SOLVE:

AI workloads that don't survive contact with production data volumes
Manual processes that AI could automate but hasn't
Data processing bottlenecks are limiting AI output quality
No reliable infrastructure to operationalize AI models

Cloud Cost Optimization — FinOps

Our FinOps specialists audit your environment, identify inefficiencies, and implement automated controls that match your spending to your actual usage.

CHALLENGES WE SOLVE:

Cloud costs are growing disproportionately to business growth
Overprovisioned resources are burning the budget every month
No visibility into where cloud spend is actually going
Inefficient scaling strategies are inflating compute costs

Amazon Web Services, AWS, and the Powered by AWS logo are trademarks of Amazon.com, Inc. or its affiliates.

600+

Clients Served Globally

AWS

Certified Engineers

1000+

Projects

50+

Industries

CUSTOMER STORIES

Impact We Make

We have partnered with 600+ clients across more than 50 industries to build systems that handle real-world scale. These stories show how we turn complex technical challenges into business growth and reliable performance.

AI Document Intelligence Platform

We built an AI-powered document processing platform using AWS Bedrock, AWS Lambda, Amazon DynamoDB, and Amazon S3 to analyze complex documents and generate structured insights.

From weeks of manual processing to real-time structured output

The system eliminates document processing bottlenecks by automating analysis workflows that previously required significant human effort.

99%

Reduction in manual effort

2 mins

to process 10K Pages

85%+

Accuracy in responses

CLOUD COST OPTIMIZATION

Lower Cloud Spend Without SLA Risk

DollarDash needed lower AWS costs without downtime. GeekyAnts right-sized infrastructure and cut monthly spend by 60%. personalized meal recommendations, reduce food waste, and simplify meal planning.

60%

Monthly Cost Reduction

$4,800

Monthly Savings

$57,000+

Annual savings

EV Supply Chain Platform

We implemented scalable backend infrastructure using Amazon ECS, AWS IAM, and Amazon CloudWatch to support a fast-growing EV supply chain platform and its operational monitoring needs.

From fragile infrastructure to a foundation built for growth

The system gave the Supply Dome team reliable cloud infrastructure to scale on and the visibility to operate it confidently day to day.

215k

Units Production Capacity Supported

50k

Development Hours for Delivery

Different Modules Delivered

AI-Powered Translation System

We created an event-driven multilingual translation pipeline using AWS Lambda, Amazon EventBridge, and Amazon S3 to automate large-scale document translation across languages and geographies.

From slow manual translation cycles to fully automated multilingual workflows

The pipeline processes large document volumes automatically, cutting turnaround time significantly for a global enterprise operating across multiple languages.

10k+

Sensor Data Captured

12+

Countries Deployment

30%

Maintenance Reduction

INDUSTRIES WE SERVE

Engineering impact across diverse domains

From high-concurrency fintech engines to data-heavy sustainability dashboards, we architect solutions for industries where speed is a mission-critical requirement, not just a preference.

Healthcare

We build secure, HIPAA-aware AWS platforms for digital health services and patient-facing applications where uptime and data integrity are non-negotiable.

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Fintech

We build AWS-backed systems that process high transaction volumes reliably, with the access controls and audit trails the industry demands.

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Food and Beverages

We build AI-powered consumer platforms on AWS where recommendations are real-time and the system scales with demand.

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Manufacturing

We build AWS platforms that support supply chain operations, industrial data processing, and enterprise-scale systems management.

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E-commerce

We build cloud-native AWS infrastructure for high-transaction-volume platforms with clean third-party integrations.

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Travel and Hospitality

We build AWS infrastructure for travel and hospitality platforms that handle search, availability, reservations, and payment workflows reliably at scale, with the multi-region architecture that global platforms require.

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Hiring

We build AWS-backed hiring platforms — job matching engines, applicant tracking systems, and candidate-facing portals — designed for the traffic spikes that come with large job postings and the data pipelines that power intelligent candidate matching.

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Real Estate

We build scalable AWS infrastructure for real estate marketplaces and property management platforms — from listing ingestion pipelines to map-based search backends — that perform consistently whether a platform has a thousand listings or ten million.

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Sports

We build AWS infrastructure for sports platforms that handle live score delivery, real-time fan engagement, video streaming backends, and fantasy sports data processing without performance degradation under peak load.

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Education

We build AWS-backed EdTech platforms supporting live classes, on-demand content, student data systems, and AI-driven personalization at scale.

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Social Media

High concurrency, real-time engagement, and user-generated content all break badly designed infrastructure. We've built social ecosystems on AWS that scale to millions of users without instability.

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On-demand Booking

We build AWS infrastructure for on-demand and booking platforms engineered for low-latency request handling, real-time inventory management, concurrent user sessions, and the payment integrations these platforms depend on — with the scalability to handle demand that doesn't follow a schedule.

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Our Certified Expertise

Validated Proficiency in the AWS Ecosystem

As an AWS Select Tier Partner, our team adheres to rigorous standards for continuous learning and certification. Our internal "Cloud Center of Excellence" ensures that every project is overseen by engineers who hold validated AWS credentials.

Technical AWS Accreditations Individuals

AWS Foundational Certified Individuals

AWS Technical Certified Individuals

Business AWS Accreditations Individuals

Our Journey

2019

2020

2021

2022

2023

2024

2025

2026

Our Growth Partners

TECH WE USE

Our AWS Technology Stack

Our services run production workloads on, every day, for clients across six continents.

Amazon ECS

Amazon ECS Fargate

Amazon ECR

AWS Lambda

WHAT WE DO

Numbers we have achieved for our Global Clients

$57,000+

Annual AWS savings

60%

Cloud cost reduction

Faster AI feature iteration

400M+

Global payments processed annually

Our Latest Thinking in AWS

Discover the latest blogs on Our Latest Thinking in AWS, covering trends, strategies, and real-world case studies.

Image Moderation Using Node.js, Amazon Rekognition and SQS

Technology

Aug 5, 2024

Image Moderation Using Node.js, Amazon Rekognition and SQS

Implement image moderation with Node.js, Amazon Rekognition, and SQS. This guide details setting up an automated system for content analysis and moderation.

AWS WAF - Protect Your Web Applications From Common Exploits

Technology

Jun 24, 2024

AWS WAF - Protect Your Web Applications From Common Exploits

Explore how AWS WAF helps you protect your web applications against common web exploits and bots that can affect availability, compromise security, or consume excessive resources.

Many-to-Many relations in AWS Amplify using React

Technology

Sep 30, 2020

Many-to-Many relations in AWS Amplify using React

Mutating and querying many-to-many relations in AWS Amplify using React.

AWS HoneyCode: Building Apps Without Code

Technology

Sep 2, 2020

AWS HoneyCode: Building Apps Without Code

Introduction and development experience review of AWS HoneyCode

View all blogs

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Our engineering and cloud consultants start every engagement with one question: What business outcome are we here to create?

Book a discovery call and let's answer that question together.

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What You Need to Know

FAQs About AWS Consulting & Cloud Engineering Services

An AWS consulting partner helps organizations design, build, migrate, and optimize cloud environments on Amazon Web Services. This includes everything from architecting new cloud-native applications to migrating legacy systems to AWS, implementing DevOps practices, optimizing cloud costs, and building AI and data platforms. GeekyAnts provides all of these services and operates as an official member of the AWS Partner Network.

GeekyAnts operates as a specialist engineering firm — not a large system integrator where your project becomes a ticket, and not a small shop without the range to handle complex builds. With 600+ clients served, 1,000+ digital products delivered, and deep experience across 50+ industries, we bring cross-domain AWS expertise to every engagement. Our engineers work in AWS daily across production environments ranging from AI platforms and fintech systems to healthcare applications and enterprise supply chains.

AWS consulting engagements vary significantly based on scope, duration, and team size. A focused cloud cost optimization audit typically runs over a few weeks. A full cloud-native product build can span several months. Enterprise cloud migration and modernization projects are typically multi-phase, multi-month engagements. GeekyAnts scopes transparently before any commitment — book a discovery call for an honest assessment of what your situation requires.

A targeted migration of a single application or workload can be completed in 4–8 weeks. A broader enterprise migration with legacy modernization components typically runs 6–18 months, depending on the complexity of the existing environment and the number of systems being moved. GeekyAnts uses a phased approach — delivering incremental value throughout the engagement rather than requiring a single go-live event.

Regularly. Some of our highest-impact work has involved stepping into live, production AWS environments and improving them without disrupting operations. The fintech engagement where we reduced cloud costs by 60% and saved over $57,000 annually is one example. If your current AWS environment is costing too much, performing inconsistently, or becoming difficult to manage — that's exactly the kind of problem we're built for.

Our most frequently deployed services include Amazon ECS and ECS Fargate for container orchestration, AWS Lambda for serverless workloads, AWS Bedrock for AI and large language model applications, Amazon S3 for scalable storage, Amazon CloudWatch for observability and monitoring, Amazon DynamoDB for NoSQL data management, Amazon EventBridge for event-driven architectures, Amazon ECR for container image management, and AWS IAM for access control and identity management. We work across the full AWS service catalog, but these appear in virtually every production architecture we deliver.

We run a structured FinOps audit: baseline your current spending, identify overprovisioned and underutilized resources, map inefficiencies to specific services and configurations, and deliver a prioritized savings roadmap. Implementation typically includes automated scaling policies, storage lifecycle rules, rightsizing recommendations, and monitoring configurations that prevent costs from drifting back up. The 60% cost reduction achieved for one fintech client is the standard we hold every engagement to.

Yes. GeekyAnts has built platforms in healthcare, financial services, and other regulated industries where compliance is a first-class requirement, not an afterthought. We design AWS environments with appropriate security controls, access management frameworks, audit trails, and encryption configurations from the start — because retrofitting compliance into a live production system is far more expensive than building it in correctly.

AWS Bedrock is Amazon's managed service for accessing and deploying large language models (LLMs) and foundation models in cloud applications. GeekyAnts uses AWS Bedrock to build production AI applications — including document intelligence platforms, automated content generation systems, and AI-powered workflows — where clients need the capabilities of large language models without the operational complexity of managing model infrastructure directly. Our Pillar Engine engagement is a live example of AWS Bedrock in a production AI document processing environment.

AWS Consulting & Cloud Engineering Services

550+ Engagements Since 2006 — Trusted By

Our AWS-Backed Offerings for the AI-First World

Impact We Make

AI Document Intelligence Platform

From weeks of manual processing to real-time structured output

Lower Cloud Spend Without SLA Risk

EV Supply Chain Platform

From fragile infrastructure to a foundation built for growth

AI-Powered Translation System

From slow manual translation cycles to fully automated multilingual workflows

Engineering impact across diverse domains

Validated Proficiency in the AWS Ecosystem

Our Journey

The Foundation Years

Cloud-Native by Default

AI and Data Enter the Stack

Engineering for Enterprise Scale

Intelligent Automation at Depth

Speed as the Metric

Global Ecosystem Engagement

ROI Becomes the Standard

Our Growth Partners

Our AWS Technology Stack

Numbers we have achieved for our Global Clients

Our Latest Thinking in AWS

Image Moderation Using Node.js, Amazon Rekognition and SQS

AWS WAF - Protect Your Web Applications From Common Exploits

Many-to-Many relations in AWS Amplify using React

AWS HoneyCode: Building Apps Without Code

Ready to Make AWS Work Harder for Your Business?

FAQs About AWS Consulting & Cloud Engineering Services

What does an AWS consulting partner actually do?

How is GeekyAnts different from other AWS consulting partners?

How much does AWS cloud consulting cost?

How long does an AWS cloud migration take?

Can you work alongside our existing engineering team?

Can you take over and improve our existing AWS infrastructure?

What AWS services does GeekyAnts specialize in?

How do you approach cloud cost optimization?

Do you work with enterprises that have compliance requirements like HIPAA or SOC 2?

What is AWS Bedrock, and how does GeekyAnts use it?