AWS Select Tier Services Partner
Trusted by 100+ companies across North America. We reduce AWS bills, ship production-ready AI on Amazon Bedrock, and keep your infrastructure secure — without the consulting theater.
Why teams choose FactualMinds
AWS Practice Areas
Six high-demand practice areas. Certified architects. Measurable outcomes.
Go from prototype to production in weeks. We deploy Bedrock Agents, Knowledge Bases, and Claude models to power document search, intelligent automation, and customer-facing AI — with your data staying inside AWS.
Stop breaches before they happen. We implement IAM least-privilege, KMS encryption, GuardDuty threat detection, AWS Security Lake, and Security Hub dashboards — so you stay audit-ready, always.
Turn raw data into decisions your leadership team acts on. We build Glue-powered lakehouses on Apache Iceberg, real-time Kinesis pipelines, and QuickSight dashboards with Amazon Q AI-powered insights built in.
Ship faster, break less. We build CI/CD pipelines with GitHub Actions and AWS CodeCatalyst, integrate Amazon Q Developer for AI-assisted code review, and wire CloudWatch observability so your team deploys with confidence.
Reach inboxes, not spam folders. We configure Amazon SES with SPF, DKIM, and DMARC — and monitor sender reputation to maximize deliverability for both transactional and marketing email.
Serve every user at peak speed, globally. CloudFront CDN with VPC Origins, Lambda@Edge personalization, and Global Accelerator routing deliver sub-100ms load times wherever your customers are.
Who We Serve
Cloud challenges look different in every industry. We bring AWS expertise shaped to your compliance requirements, growth stage, and technical environment.
Your cloud bill scales faster than your revenue. We right-size your multi-tenant infrastructure, cut idle spend, and architect for growth — so margins improve as you scale.
HIPAA compliance and innovation feel like opposites — until you have the right AWS architecture. We build privacy-first platforms that protect patient data and accelerate clinical workflows.
Peak season should be your biggest win, not your biggest outage. We build elastic AWS infrastructure that scales on demand, keeps email deliverability high, and secures customer data.
Regulators don't accept "the cloud is secure by default." We build PCI DSS and SOC 2-aligned AWS environments with real-time fraud detection and audit trails that survive scrutiny.
AWS credits don't last forever, but bad architecture costs do. We help startups spend credits wisely, build investor-ready infrastructure, and avoid the technical debt that kills growth.
When 50,000 students log in at 8am, you need infrastructure that holds. We build FERPA-compliant, auto-scaling AWS platforms and add AI-powered learning features that actually work.
Our Track Record
Outcomes from AWS projects delivered across cost optimization, security, GenAI, and DevOps.
Clients Served
Enterprises, SaaS companies, and startups across 12+ industries.
AWS Certifications
Deep, cross-domain AWS expertise across our consulting team.
Avg. Cost Reduction
Average AWS cost savings delivered through optimization engagements.
Expert Support
Round-the-clock access to certified AWS architects when you need them.
We wanted to integrate generative AI into our product search experience, but model costs were skyrocketing. FactualMinds built a secure, cost-aware GenAI stack using Amazon Bedrock Agents that reduced our inference costs by 40% while keeping all data within our AWS environment.
Megan Lawrence
VP of Digital Innovation — TargetBay
After a customer audit revealed gaps in our cloud posture, we turned to FactualMinds. Their AWS security assessment uncovered misconfigured IAM roles and open endpoints. In just two weeks, they remediated every risk and gave us a security baseline aligned with SOC 2 and ISO 27001.
Chris Delaney
CTO — Wonderfeel
Deploying GenAI in a HIPAA-regulated environment felt daunting until FactualMinds stepped in. They designed a privacy-first AI workflow using Amazon Bedrock with custom encryption layers. The result: a secure clinical documentation tool that cuts case summary time in half without touching patient data.
Dr. Nila Rao
Chief Innovation Officer — Little Sponges
Every engagement starts with a formal AWS WAR — not just an opinion.
Month-to-month engagements. We earn your business each month.
Average 4.2 certifications per engineer. Not generalist cloud consultants.
We show cost dashboards, deployment logs, and audit reports — not PowerPoints.
How We Work
A clear, repeatable process that delivers outcomes — not just recommendations.
We audit your AWS environment, map it against the Well-Architected Framework, and identify quick wins alongside strategic opportunities — all within the first week.
Our architects design a prioritized roadmap with cost estimates and timelines — whether that is a migration, cost optimization, security hardening, or GenAI enablement on Bedrock.
Certified AWS engineers execute the plan with precision. You get weekly status updates, milestone sign-offs, and full visibility into every change we make.
We monitor, tune, and continuously improve your AWS environment. Monthly reports show cost trends, security posture, and performance metrics — so results compound over time.
Common Questions
Answers to what businesses ask most before starting an AWS engagement.
Expert perspectives on AWS cost optimization, generative AI, cloud security, and DevOps — written by certified AWS architects.
Deploy n8n workflow automation on AWS EKS with RDS PostgreSQL, ALB ingress, ACM TLS, Secrets Manager, CloudWatch, WAF, and S3 backups. Full production architecture covering HA, encryption, HPA, and Karpenter autoscaling.
Amazon QuickSight can replace expensive BI tools or become a costly mistake — depending on how you use it. Here is the production guide that covers SPICE, multi-tenancy, cost control, and the cases where QuickSight is the wrong choice.
Virtual data modeling on AWS creates a read-only semantic layer over your data lake or warehouse — without copying data. Here is a practical guide to when it works, when it backfires, and how to implement it correctly with Athena, Redshift, Glue, and Lake Formation.
Kinesis Data Streams and Amazon MSK both handle real-time streaming on AWS, but they serve different architectures. Here is how to choose between them for your workload.
Whether you're migrating, optimizing, or building with GenAI — we deliver outcomes, not slide decks.
