AWS offers unparalleled power, but spinning up infrastructure organically often leads to massive architectural anti-patterns, horrifying monthly compute bills, and glaring security vulnerabilities nested deep within your IAM permissions.
We conduct deep architectural audits and reconstruct your AWS environments. From designing serverless Lambda architectures to establishing multi-region VPC topologies and locking down IAM infrastructure, we build AWS foundations perfectly balanced for extreme performance and cost efficiency.
Identifying orphaned resources and optimizing compute matching to slash monthly AWS spend by up to 40%.
Rearchitecting monolithic VMs into highly-available, scale-to-zero serverless environments using Lambda and API Gateway.
Auditing and enforcing strict Least Privilege access protocols across your entire organizational infrastructure.
As the largest aesthetics company in the U.S., Allergan Aesthetics set out to redefine customer loyalty through a digital-first approach. The mission was ambitious: to launch a comprehensive platform that not only rewarded aesthetic treatment customers but also served as a business tool for thousands of providers and internal stakeholders.
• Serve millions of patients with seamless loyalty experiences
• Enable 24/7 access to rewards, gift cards, and promotions
• Integrate real-time provider search, secure payments, and administrative tools
• Support marketing, customer support, call centers, and sales operations
NeoEvolution AI collaborated closely to deliver Allē providing staff augmentation to design and develop an intuitive ecosystem that redefined loyalty in the aesthetics space.
• $5.2B+ in annual sales and $1.6B+ net revenue
• 7.8M+ patient users, 75K+ care providers nationwide
• 3 fully-integrated systems: Consumer, Business and Admin
• Major adoption across call centers, marketing, sales, and support
• Secure, compliant infrastructure deployed at scale
• Streamlined promotions and provider visibility, increasing customer retention

React

Chakra UI

NodeJS

Typescript

Storybook

Jest

Cypress

AWS

PostgreSQL

Serverless

GraphQL

Rest

Kubernetes

Terraform

Docker

Datadog

Okta

PingID
Real questions from engineering leaders evaluating our team.
Five usual culprits: idle/stopped EBS volumes still billing, NAT Gateway egress (especially with cross-AZ traffic), oversized RDS instances, S3 storage class misalignment (Standard for cold data), and unattached Elastic IPs. A 1-week cost audit typically finds 20–40% in low-risk savings without touching architecture.
Workload-by-workload. Lambda + API Gateway is a fit for spiky, low-throughput, stateless work — and a poor fit for sustained traffic, long-running tasks, or anything cold-start-sensitive. ECS Fargate is the boring middle option that wins more often than people think. We avoid prescribing one answer; we measure and decide.
Terraform for most engagements (best ecosystem, mature). CDK if your team is heavily TypeScript and wants to stay in code rather than HCL. CloudFormation only when something else doesn't support a service yet. We write modules with explicit inputs/outputs and pin provider versions — no untyped vars, no implicit defaults.
AWS Organizations + AWS Control Tower as the baseline. Separate accounts for prod/staging/dev/sandbox/security at minimum. Cross-account access via IAM Identity Center (formerly SSO) with permission sets, not long-lived users. We refuse to share root credentials and won't create them.
Yes — we've shipped under all three. Standard controls: AWS Config rules for compliance drift detection, GuardDuty for threat detection, KMS-encrypted everything, dedicated logging account with immutable storage, runbooks for incident response. We'll work alongside your auditors and the GRC team owns the final attestation.
Pragmatically — pure cloud-agnostic abstractions are expensive and rarely pay off. We use AWS-native services where they're best (Lambda, S3, DynamoDB) but keep critical business logic portable: containers over Lambda when portability matters, standard SQL over Aurora-specific extensions, etc. The honest answer is some lock-in is fine; document it explicitly so the trade-off is conscious.
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