Architecture gets harder as systems grow
Account sprawl, shared networking, and one-off services pile up. Decisions that were fine at launch become expensive to unwind later.
AWS Select Tier Services Partner
FactualMinds is an AWS consulting partner that helps businesses modernize, secure, and operate on AWS. As an AWS Select Tier Services Partner with 50+ certifications on staff, we take on architecture, migration, cost, security, and generative AI work against the goals the business actually has.
Independently listed
Select Tier status and Marketplace seller identity are public. Check them on AWS, then come back if the work fits.
Confirm Select Tier status on the public AWS Partner Solutions Finder. The listing is maintained by AWS, not by us.
View AWS Partner profileFactualMinds is a verified AWS Marketplace seller. Procurement teams can review the seller profile independently.
View Marketplace seller profileThe practical case
Not because AWS is powerful. Because the next architecture, spend, security, or migration decision is hard to reverse once it is in production.
Account sprawl, shared networking, and one-off services pile up. Decisions that were fine at launch become expensive to unwind later.
The invoice arrives; ownership of each line item often does not. Waste hides in idle capacity, data transfer, and services nobody remembers turning on.
Access, logging, and evidence collection are not a one-time project. Gaps show up during audits, incidents, or a new workload that handles regulated data.
Lift-and-shift without a target architecture is how bills rise after cutover. Sequencing, dependencies, and a rollback path matter as much as the move itself.
A working demo is not a production system. Data access, cost ceilings, evals, and write boundaries decide whether the workload survives real traffic.
A small platform group cannot cover architecture, FinOps, security, and delivery at once. Extra hands should leave IaC and runbooks with the team that stays.
Capability overview
Short paths into the work we actually take on. Delivery detail lives on each service page — this is not a second catalog.
Design and improve AWS environments around reliability, security, and cost — not a slide of every service.
Assess options, plan the target architecture, and support cutover with a path the team can operate afterward.
Identify access gaps, improve monitoring, and support compliance-aligned AWS environments. Start with cloud security or cloud compliance services.
Find waste, improve resource efficiency, and put ongoing cost governance in place so the bill has an owner.
Improve CI/CD, infrastructure as code, and deployment reliability so releases are repeatable instead of heroic.
Help identify practical AI use cases and build production-oriented applications with evals, Guardrails, and cost caps.
Build pipelines, analytics platforms, and reporting where the business actually uses the output.
Ongoing operational support when the team needs coverage for patching, monitoring, and incident response.
Fit by stage
Same partner. Different first conversation, depending on whether you are moving, already live, or exploring AI.
Understand the current environment, evaluate options, and build a practical path to AWS.
Improve architecture, security, cost visibility, and operational reliability. See architecture review, cost optimization, and cloud security.
Build scalable, secure, and cost-aware AWS infrastructure that supports product growth.
Prepare for traffic peaks, improve delivery performance, and support secure commerce operations.
Identify practical AI opportunities and build production-oriented solutions on AWS. See generative AI on AWS and AI agents.
How we work
A readable sequence — not a generic cloud architecture diagram. Scope stays locked until the next agreed step.
Assess the current environment and the business goals that should drive architecture choices.
Identify the highest-value opportunities and define the target approach before a statement of work expands.
Implement the agreed architecture, integrations, and engineering changes in accounts you own.
Test security, reliability, performance, and operational readiness against the metrics agreed at the start.
Continue optimizing as the workload, the bill, and the team evolve — with IaC and runbooks left behind.
Why FactualMinds
The company story lives on About Us. This is the partnership case: listed status, certified people, and published AWS outcomes — not agent case studies.
Select Tier is an official AWS Services Partner designation based on certified people and launched customer opportunities. It is publicly listed. It is validation, not endorsement.
Active certifications across Solutions Architect, DevOps Engineer, Security, Machine Learning, Database, Data Analytics, Networking, and SysOps — not a single shared badge.
Procurement teams can review the seller profile on AWS Marketplace without taking our word for the relationship.
Engagements start with the business problem — spend, risk, delivery speed, or a workload that is not production-ready — then the architecture that supports it.
Access controls, monitoring, and spend ownership are part of the build, not a slide at the end. We help from architecture through implementation.
These are areas of delivery expertise. FactualMinds does not currently hold AWS Competency designations in these programs. Until AWS grants them, we write “specialization in,” never “AWS [X] Competency.”
WAF, Security Hub, GuardDuty, IAM, and compliance work for regulated workloads. Specialization — not an AWS Competency.
CI/CD, infrastructure as code, and Well-Architected reviews. Specialization — not an AWS Competency.
Bedrock, SageMaker, RAG pipelines, and Guardrails. Specialization — not an AWS Competency.
Specialization in agentic AI consulting. We are pursuing the Consulting Services category — we do not hold an Agentic AI Competency.
Published AWS outcomes
Named clients and numbers come from published write-ups. None of these are AI-agent case studies — we have zero of those.
Problem: email volume that outgrew the sandbox. Category: email deliverability. Outcome: 200M+ messages per month with 99.9% deliverability.
Problem: an AWS bill growing faster than revenue. Category: FinOps. Outcome: monthly spend from $85k to $58k (32%), with p99 unchanged.
Problem: a telehealth launch that had to hold PHI from day one. Category: security and compliance. Outcome: zero-trust architecture in production in 8 weeks.
Official listings first, then the FactualMinds pages that hold the catalog, tools, and company background.
Partnership questions
How to verify the designation, how we work with your team, and how an engagement starts. Service-by-service FAQs live on the services hub.
Tell us the migration, the bill, the security gap, or the workload that is not production-ready. We typically respond within 4 business hours.