AWS Select Tier Services Partner
Not quarters. 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
Certified architects across high-demand practice areas. 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.
An honest list
We say no to the engagements that don’t fit so we can say yes to the ones that do.
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.
AWS announced Claude Sonnet 5 on June 30, 2026. This guide explains the two AWS access paths, where Sonnet 5 fits in agentic workloads, and how to evaluate adoption without model-churn.
On a composite ingest workload (~8k ordered TPS, 1 KB payloads), staying on SQS FIFO without high-throughput mode capped effective throughput near 300 TPS/API and modeled queue backlog cost near $95/mo before ops time — enabling high-throughput FIFO or switching to Kinesis on-demand changed the ceiling, not the consumer code.
On a composite B2B order API (~2.4k RPS peak, 24 ECS tasks on Aurora), running the scaling ladder in order — RDS Proxy, read-replica routing, ElastiCache, then SQS offload — moved modeled p99 from 1,840 ms to 72 ms before any microservice split.
June 2026 benchmark on the same read-only AWS scaffold: OpenTofu 1.12 plan median 5.2s vs Pulumi 3.248 preview median 10.6s—plus when to pick HCL over TypeScript on landing zones.
Whether you're migrating, optimizing, or building with GenAI — we deliver outcomes, not slide decks.
