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See Your GenAI Idea Working In 3 Week-Free

We'll build a working prototype with your actual business data on AWS. Get real metrics on accuracy, performance, and costs in 3 weeks—completely free.

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Trusted by Fast-Growing Companies running Mission-Critical Workloads on AWS

We have migrated, secured, and optimized cloud infrastructure for 200+ digital businesses, from seed stage startups scaling rapidly to established enterprises processing millions of transactions daily.

Trusted by 500+ High-Growth & Enterprise Brands

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One AWS Partner That Actually Takes Ownership

Most consultants audit your AWS setup, hand you a document, and disappear. We stay. From migration planning to 24/7 managed operations, you work with one accountable team that knows your infrastructure inside out.

Cloud
Migration

Migrate to AWS in 60-120 days with zero downtime. We handle complete infrastructure discovery, dependency mapping, staged cutover, and rollback planning. 300+ production workloads migrated from Azure, GCP, and on-premise data centers.

GenAI Proof of
Concept

Test your GenAI business case before building it. We’ll create a working proof of concept on AWS using your actual data in 2-3 weeks. Get real accuracy rates, response times, and cost-per-transaction, not vendor projections. Built on AWS SageMaker with production-ready architecture.

AWS
Cost Optimization

Identify $30K-$150K in annual AWS waste from zombie resources, oversized instances, and poor Reserved Instance planning. Free cost audit analyzes 3 months of billing data and delivers a 90-day optimization roadmap. Typical savings: 25-40% reduction in monthly AWS spend.

Cloud
Consulting

One AWS partner from architecture design to production support, no handoffs between consulting and operations teams. AWS-certified architects with 10+ years managing production workloads. We stay accountable for your infrastructure, not just deliver a document and disappear.

Managed Cloud
Services

24/7 monitoring, incident response, and monthly cost optimization from dedicated AWS-certified engineers. Automated alerts via Slack, Teams, and phone escalation. Managed customers typically improve uptime from 99.5% to 99.95% while reducing AWS spend by 25-35% in first 90 days.

Generative AI on AWS

Comprinno’s Generative AI Consulting Services help businesses validate and build production-grade AI on AWS — starting with a working proof of concept in 2–3 weeks using your actual data. Our generative AI AWS builds run on SageMaker, Bedrock, and OpenSearch, covering everything from RAG Architecture to fine-tuning pipelines. From GenAI Consulting to full Generative AI Services delivery, we’re the AWS Generative AI Partner that stays accountable past the demo — through production, at scale, under real conditions.

Not Sure If You Need a Partner?
Let’s Find Out in 15 Minutes.

Book a no-obligation infrastructure review call. We’ll look at your AWS setup live, identify your biggest cost and performance risks, and tell you honestly whether working with us makes sense for your business.

Schedule Your Free 15-Minute AWS Review→

Three Zero-Cost
Ways to start with us

Choose the starting point that matters the most
for your team today.

ViewPulse executive dashboard showing CDN traffic trends, anomalies, and edge location performance

Free AWS Migration Assessment

We inventory your current infrastructure, map dependencies, and deliver a detailed migration plan with timeline and cost estimates. Most assessments complete in 5 to 7 business days. You will know exactly what it takes to move to AWS before spending a dollar.

Free GenAI Proof of Concept

Pick one business process you want to automate with GenAI. We will build a working prototype on AWS in 2 to 3 weeks using your actual data. You will see real accuracy rates, response times, and cost per transaction not a demo with cherry picked examples.

AWS Cost & Waste Audit

Send us 3 months of AWS bills. We’ll analyze your spending across compute, storage, and data transfer, then send you a detailed report showing exactly where you’re overspending. Typical findings: $30K-$150K in annual waste from zombie resources, oversized instances, and lack of Reserved Instance planning.

Why companies choose us as their AWS partner

You get one accountable partner instead of a patchwork of vendors.

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Certified Cloud Experts

Your AWS architect knows your stack as well as your internal team does.

24/7 Accountability

One throat to choke when something breaks at 3 AM.

No Handoffs

No handoffs between “the consulting team” and “the managed services team”.

Proven Track Record

Managing production workloads on AWS since 2015—not reading the docs

38%

Cost Reduction

0

Flash Sale Outages

99.96%

Platform Uptime

340ms

Peak Response TIme

The Challenge

Operating 300+ microservices on AWS led to recurring instability during high-traffic flash sale events.

Month-over-month cost increases of ~40% were driven by poorly tuned autoscaling policies and lack of cost controls.

Real-time reporting and analytics systems struggled under peak load, while manual deployments introduced delays and inconsistencies across environments.

What we did

Redesigned autoscaling policies and right-sized approximately 80% of EC2 instances to align with actual workload patterns.

Implemented predictive scaling for flash sale scenarios, supported by targeted load testing.

Established a production-grade observability stack using Prometheus, Grafana, and PagerDuty for improved visibility and incident response.

Built automated DevOps pipelines to standardize deployments and reduce environment-level drift.

0

Data Loss

100%

RBI Compliance

1TB+

Database Replicated

450+

Lambda Functions

The Challenge

A fast-growing consumer lending platform needed to meet stringent RBI disaster recovery requirements without disrupting ongoing operations.

The primary production environment in AWS Mumbai was processing financial transactions continuously, with limited tolerance for downtime.

A compliant disaster recovery setup was required in a separate Indian region, with near-zero data loss expectations.

What we did

Designed and implemented a disaster recovery architecture in the AWS Hyderabad region, aligned with regulatory expectations.

Configured cross-region, cross-account replication for a 1+ TB RDS MySQL database to ensure data continuity.

Established bidirectional replication across 200+ API Gateway endpoints and 450+ Lambda functions to maintain application consistency.

0

Critical Downtime

24/7

Global Monitoring

100%

ISO 27001 Compliance

1000s

Dashcams Supported

The Challenge

A global fleet dashcam provider operating 24/7 across multiple regions required a stable and scalable infrastructure foundation.

Workloads from thousands of distributed devices were highly variable, requiring the ability to scale predictably under fluctuating demand.

Zero-downtime expectations were critical, as any disruption risked loss of incident data.

ISO 27001 compliance requirements needed to be met alongside ongoing cost optimization efforts.

What we did

Established 24/7 managed operations with centralized monitoring using Prometheus and Grafana.

Designed a resilient data ingestion pipeline: NLB → RabbitMQ → Apache Camel → Amazon MSK, to handle high-throughput, event-driven workloads.

Conducted quarterly AWS Well-Architected Framework reviews, with structured remediation to address reliability, security, and cost optimization gaps.

85%

Cost Reduction

100%

Accuracy Target Exceeded

2-3week

New PDD
Timeline

40%

Fewer Compliance Delays

The Challenge

Manual PDD creation for carbon credit projects typically took 8–14 months, creating uncertainty for investors and delaying project momentum.

Processing large volumes of regulatory documentation across multiple agencies was time-intensive and prone to inconsistencies.

Approval delays slowed the issuance of carbon credits, impacting timelines and downstream financial outcomes.

What we did

Built a GenAI-powered PDD generation module on AWS using SageMaker and OpenSearch, aligned to production-scale requirements.

Implemented a RAG-based architecture with dynamic retrieval from regulatory data sources and APIs.

Established automated pipelines for document chunking, embedding generation, and vector storage to support reliable retrieval and generation.

Wait—Do You Know How Much AWS Is Costing You Compared to What It Should?

Before you go, grab our AWS Cost Benchmarking Guide. See how your spending compares to companies at your scale.

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FAQs

Questions teams usually ask before working with us

For assessments and audits, we start within 48 hours of receiving access credentials. For migration and managed services, we typically kick off within 2 weeks after contracts are signed.

We've helped dozens of companies transition from partners who overpromised and underdelivered. We can review what they've done so far and either fix it or start fresh—your call.

No. The assessment is genuinely free with no obligation. About 60% of companies who get our free assessment end up working with us, but only because they want to, not because they have to.

We work with teams running $5K-$500K/month on AWS. Below that, you probably don't need a partner yet. Above that, you might need a more enterprise-focused consulting firm.

As a specialized generative AI consulting partner, Comprinno provides comprehensive generative AI consulting services that cover architecture design, model selection, RAG implementation, vector database optimization, and ongoing generative AI AWS infrastructure management. Our GenAI consulting services deliver both strategic guidance and hands-on technical execution needed to turn AI concepts into measurable business outcomes.

Our team brings deep expertise in building production-ready AI applications using Amazon Bedrock, SageMaker, and custom foundation models. All our generative AI solutions are built on AWS-native infrastructure with security, compliance, and cost efficiency embedded from day one.

As experienced GenAI consulting experts, we have helped organizations across fintech, healthcare, retail, and enterprise sectors implement generative AI solutions. These implementations have reduced operational costs by 40-85% while improving accuracy and response times, delivering real ROI rather than just demos.

We deliver end-to-end generative AI services tailored to your industry and use cases. This spans from proof-of-concept development to full-scale deployment, with our approach combining strategic generative AI consulting with hands-on implementation. Whether you are exploring generative AI AWS capabilities for the first time or scaling existing AI initiatives, we support every stage of the journey.

Our AWS generative AI practice includes dedicated AI/ML engineers, solution architects, and data scientists who understand both the technology and your business context. When you choose Comprinno for GenAI consulting services, you gain a trusted partner committed to building generative AI services that scale securely and perform reliably.

Our approach combines strategic generative AI consulting with hands-on implementation to ensure your AI investments deliver real ROI, not just demos. We embed security, compliance, and cost efficiency from day one, and provide ongoing AWS infrastructure management to ensure your generative AI solutions continue to perform and scale as your business grows in the AI era.

Ready for your first quick win on AWS

Tell us whether migration, GenAI or
cost is top of mind. We will start from there.

Tell us what you’re looking to solve on Amazon Web Services

Share a few details. An AWS expert from Comprinno will get in touch within one business day.