Who we serve
AI agents where the work repeats. AWS underneath.
Retail is the published agent practice. Every other industry still gets AWS engineering — security, cost, compliance, and the platform an agent would run on. We will not invent a product we have not built.
Every industry has work that repeats.Retail repeats it in public:where is my order,can I return this,will it fit.
Who it is forOperators, eCommerce leaders and engineering teams in 10 industries, from retail and SaaS to healthcare and logistics.
Two ways inWhere the work repeats and the data is real, we start with an AI agent. Where the need is compliance, cost or migration, we start with AWS.
Who does the workAn AWS Select Tier Services Partner with 50+ AWS certifications on staff.
10 industries, two ways in
Retail starts with production AI agents. The other 9 start with AWS engineering: security, compliance, cost, and the platform an agent would later run on.
Retail & eCommerce
Agentic commerce on AWS — production AI agents for eCommerce, a catalog the shopping agents can read, and peak-traffic architecture with PCI DSS-aligned checkout underneath.
See Retail & eCommerce
AWS engineeringStartups
AWS for startups — maximize Activate credits, harden security for investors, optimize cost, and scale from MVP to Series B without re-platforming.
AWS engineeringSaaS
AWS for SaaS — multi-tenant architecture, cost optimization, SOC 2, and Bedrock in-product AI. Operational agents only where the work repeats. No invented SaaS-agent SKU.
AWS engineeringHealthcare & Digital Health
AWS for healthcare — HIPAA-ready architecture, FHIR pipelines, and HIPAA-eligible GenAI with clinician review. Production agents only after BAA and a data layer. No clinical-agent SKU.
AWS engineeringFintech & Financial Services
AWS for fintech — PCI DSS, SOC 2, payment platforms, and fraud ML pipelines. No finance-agent SKU. Operational agents only if catalog or ops work is in scope.
AWS engineeringEducation & EdTech
AWS for education and EdTech — FERPA/COPPA-aligned architecture, scalable LMS, exam-day elasticity, AI tutors with Bedrock guardrails, and pay-per-learner cost optimization.
AWS engineeringManufacturing & Industrial IoT
AWS for manufacturing — OT/IT convergence, predictive maintenance, and OEE on IoT. Operations-agent opportunity where exceptions repeat. The IoT case is not an agent case.
AWS engineeringMedia & OTT
AWS for media and OTT — live vs VOD architecture, IVS vs MediaLive, CloudFront egress modeling, and DRM packaging from an AWS Select Tier Partner.
AWS engineeringReal Estate & PropTech
AWS for real estate and PropTech — geo-search at scale, AI valuations, MLS data pipelines, and image-cost optimization for property platforms from an AWS Select Tier Partner.
AWS engineeringLogistics & Supply Chain
AWS for logistics — Supply Chain vs custom lake, fleet ETA, ERP/WMS freshness. Inventory and operations agents when joins are real. No logistics-agent SKU.
Delivered AWS work, by industry
Five shipped engagements, with the numbers from each case study. None of them is an AI-agent case study. Our agent proof today is the 64-part field guide and its copyable artifacts.
- 8 weeksHealthcareto a HIPAA-compliant telehealth platform in production
- −70%Fintechcardholder data environment scope in a PCI DSS migration
- −32%SaaSmonthly AWS spend, from $85k to $58k, without performance trade-offs
- −40%Manufacturingunplanned downtime with IoT predictive maintenance
- 200M+Retailmarketing emails a month on Amazon SES for TargetBay
Four stages of an AWS engagement
Most engagements start with a 1–2 week discovery and architecture review, then 4–8 week implementation sprints.
- 01
Discovery
Audit your current AWS footprint, compliance posture, and cost baseline.
- 02
Architecture
Design a solution aligned with your industry requirements and AWS best practices.
- 03
Implementation
Hands-on delivery with automated pipelines, security controls, and documentation.
- 04
Optimize
Ongoing cost, security, and performance optimization as your business scales.
Common questions about industry work
- Do you build a different AI agent product for each industry?
- No. We do not sell an agent×industry matrix. Production agents are published deepest for eCommerce — support, sales, operations, inventory, and knowledge — at /ai-agents/. Other verticals get an honest opportunity section and the AWS work underneath. If the repetitive work matches a family, we start there. We do not invent a manufacturing agent or a fintech agent SKU.
- Which industries does FactualMinds serve with AWS?
- We deliver AWS solutions for SaaS, tech startups, healthcare and life sciences, retail and eCommerce, fintech and financial services, education and EdTech, manufacturing and industrial IoT, real estate and PropTech, media and OTT streaming, and logistics and supply chain. Retail is the first door for agentic commerce. We also work with companies outside these verticals — contact us to discuss your specific use case.
- Do you offer HIPAA-compliant AWS architectures for healthcare?
- Yes. We design and implement HIPAA-eligible AWS architectures using Amazon HealthLake, encrypted RDS and S3, VPC isolation, CloudTrail audit logging, and GuardDuty threat detection. Our healthcare clients include digital health platforms and life sciences organizations.
- Can you help fintech companies meet PCI DSS and SOC 2 requirements on AWS?
- Yes. We have delivered PCI DSS and SOC 2 compliant AWS environments for fintech clients. This includes network segmentation, encryption in transit and at rest, IAM least-privilege controls, and Security Hub compliance scoring aligned to the relevant frameworks.
- What AWS services do you use for SaaS cost optimization?
- For SaaS companies we focus on Savings Plans and Reserved Instances for compute, Compute Optimizer for right-sizing, S3 Intelligent-Tiering for storage, and Aurora Serverless for variable-load databases. We also implement per-tenant cost tagging so you can track AWS spend by customer.
- How do AWS Activate credits work for tech startups?
- AWS Activate provides eligible startups with AWS credits, technical support, and training. FactualMinds is an AWS Select Tier Partner authorized to help startups apply for and maximize Activate credits. We advise on architecting within your credit budget to extend runway.
- How long does a typical industry-focused AWS engagement take?
- Most engagements start with a 1–2 week discovery and architecture review, followed by 4–8 week implementation sprints depending on scope. Ongoing managed services or optimization retainers run monthly after initial delivery.
Don't see your industry?
Tell us where the work repeats, and we'll say whether it starts with an AI agent or with AWS.
Pictures:Interior - The Kinley Dep't. Store, Upper Sandusky, Ohio LCCN2012645660, Harry E. Kinley (Public domain); Medical ward 6A , Sahlgrenska hospital early 1900s (Public domain); NY stock exchange traders floor LC-U9-10548-6, Thomas J. O'Halloran (Public domain); IBM Electronic Data Processing Machine - GPN-2000-001881, NASA (Public domain); Laboratory at Menlo Park. (14dba1e944d9421699fdaba861743d2d) (Public domain); Aleksis Kivi School 1949 (JOKAUAS2 415-2), U. A. Saarinen (CC BY 4.0); Ford assembly line - 1913 (Public domain); Lancaster Classification Yard from Retarder Shack, Texas and Pacific Railway Company (16120294689), Robert Yarnall Richie (No restrictions); Row houses, corner of N and Union Streets S.W., Washington, D.C. LCCN2017877961, Louise Rosskam (Public domain); Berlin Markthalle VII Innenansicht (Public domain); Typing pool, Navy Department, Washington DC (Public domain); Drafting Room, Bureau of Buildings, Division of Design and Inspection - DPLA - dcf6494fc2a4c61ac821205d0b5b9c6c, Joseph E. Quigley (Public domain); The first television broadcast in Finland 1950 (JOKAUAS2 688-3), U. A. Saarinen (CC BY 4.0). Via Wikimedia Commons.
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