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.
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.
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
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600+
Clients Served Globally
AWS
Certified Engineers
1000+
Projects
50+
Industries
Impact We Make
Consumer Commerce Platform
We executed a comprehensive cloud infrastructure overhaul for this digital banking platform to eliminate over-provisioning and inefficient resource allocation. By rightsizing database instances and automating environment scaling, we stabilized the backend while slashing overhead.
60%
Reduction in monthly cloud costs
$4800
Saved per month
$57,000+
Annual savings
AI-Powered Translation System for Global Railway Division
We developed an AI-powered translation solution for a global industrial leader in Europe. The system automates multilingual document translations while preserving formatting and securely managing data across web, mobile, and MS Teams.
10k+
Sensor Data Captured
12+
Countries Deployment
30%
Maintenance Reduction
How Supply Dome Transformed EV Supply Chains with Advanced App Solutions
Discover how Supply Dome simplified production management for a leading manufacturer or EV vehicles. Explore the key features, development phases, and impact on operational efficiency.
215k
Units Production Capacity Supported
50k
Development Hours for Delivery
5
Different Modules Delivered
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.
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.
02
Technical AWS Accreditations Individuals
03
AWS Foundational Certified Individuals
02
AWS Technical Certified Individuals
07
Business AWS Accreditations Individuals
Our Journey
- 2019
The Foundation Years
We started moving our clients from traditional hosting to AWS — covering media platforms, SaaS applications, and marketplace backends.The early insight that shaped everything after. They had an architecture problem. AWS just made it visible. - 2020
Cloud-Native by Default
Increasing scale demands pushed us toward containerized workloads, microservices patterns, and managed AWS services as the default starting point. Infrastructure started being designed to last. - 2021
AI and Data Enter the Stack
Client demands expanded beyond scalable compute. So, we began building AI-driven applications and data-intensive platforms on AWS — recommendation engines, analytics systems, and intelligent automation — marking the point where the data layer became as critical as the infrastructure layer. - 2022
Engineering for Enterprise Scale
We delivered large-scale consumer and social platforms engineered for high concurrency, real-time engagement, and global user growth. Engineering for hundreds of thousands of concurrent users at sub-second response times became a repeatable capability. - 2023
Intelligent Automation at Depth
AWS usage expanded into intelligent document systems, enterprise workflow automation, and AI-driven operational platforms.AI creates real value only when the infrastructure beneath it is production-grade and reliable. - 2024
Speed as the Metric
One AI-powered platform achieved 3× faster iteration of new AI features — directly attributable to well-designed AWS backend infrastructure. Fast infrastructure became a measurable product advantage, not just an engineering metric. - 2025
Global Ecosystem Engagement
Our leadership participated in AWS re: Invent, engaging with enterprise partners and AWS teams on cloud architecture, AI workloads, and modernization strategy. The role shifted from AWS practitioner to active participant in how enterprises think about building on AWS. - 2026
ROI Becomes the Standard
This has became our benchmark for every cloud engagement going forward: measurable business impact.
Our Growth Partners
GitHub
Hasura
Rapid native
Vercel
Our AWS Technology Stack
Our services run production workloads on, every day, for clients across six continents.
Numbers we have achieved for our Global Clients
$57,000+
Annual AWS savings
60%
Cloud cost reduction
3x
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.
Technology
Jul 31, 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.
Technology
Jun 21, 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.
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.
Technology
Sep 2, 2020
AWS HoneyCode: Building Apps Without Code
Introduction and development experience review of AWS HoneyCode
Our Latest Thinking
Insight
Sep 24, 2026
GeekyAnts Secures Top 10 Spot in Clutch’s August 2026 Financial App Developer Rankings
GeekyAnts ranks among Clutch’s top 10 financial app developers for August 2026, supported by a 4.9-star rating across 120 client reviews.
Insight
Sep 23, 2026
US Fintech Compliance Guide: Regulations Every Founder and Developer Should Know
A practical guide to US fintech regulations, compliance requirements, product controls, AI governance, partnerships, and launch readiness, helping fintech teams plan for compliant product development and growth.
Insight
Sep 23, 2026
Why Legacy Systems Make Business Growth More Expensive: Navigate A Smarter Path to Legacy Modernization
Learn how legacy systems make business growth more expensive and how edge-first modernization can remove constraints without replacing the existing system.
Insight
Sep 23, 2026
SSO, Audit Logs and RBAC: The Enterprise Features AI Prototyping Tools Do Not Cover | Sarika Gautam
Why AI-generated prototypes fail enterprise review: the context behind SSO, the cost of skipping audit logs, and how role explosion makes RBAC a product of its own.
Insight
Sep 23, 2026
When Should You Choose GeekyAnts as Your Product Engineering Partner?
This blog explains when companies should choose GeekyAnts for product engineering based on project needs, technical requirements, delivery risks, and engagement models.
Insight
Sep 23, 2026
From Mobile Apps to AI-Powered Products: How GeekyAnts’ Engineering Capabilities Have Evolved
This blog explores how GeekyAnts has expanded from mobile engineering into AI-powered product engineering to support modern product requirements.
Ready to Make AWS Work Harder for Your Business?
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.
Contact us
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.
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.
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.