Fixed-scope. Predictable outcomes.

Production-ready AWS architecture and controls designed to pass SOC 2 quickly and safely.

Enterprise-grade AWS account structure designed for security, scalability, and compliance from day one.

Implement the AWS controls required for HIPAA compliance, before the auditor asks.

When a PHP2Shell-class vulnerability lands: find every affected runtime across your AWS accounts, patch and roll it, shield what can't move today, and check whether you were already hit. In days, not weeks.

Make your product safe for AI agents to use and your own agents safe to run: an OAuth resource server and MCP authorization that follow the current spec, on-behalf-of tokens from a vault, human approval for consequential actions, and an audit trail that names both the person and the agent.

CMMC Level 2 certification can be required in DoD solicitations from November 10, 2026. We build a scoped enclave for CUI work on AWS GovCloud or commercial US Regions, implement and document the 110 NIST SP 800-171 requirements for it, and get you ready for a C3PAO assessment.

Reduce your AWS bill by 20–60% while improving performance and reliability.

NAT gateways cost $36.50 a month per AZ before moving a byte, then $0.045 for every gigabyte. We find what is going through NAT, move AWS traffic onto endpoints, and replace the gateways with fck-nat where it fits: deployed as code, highly available per AZ, with alarms, a patch routine and a rehearsed rollback.

Migrate your hand-crafted AWS infrastructure to reproducible, type-safe CDK, and never click through the console again.

Automated, secure deployment pipelines that get code to production faster without manual steps or weekend deployments.

Move from expensive always-on compute to serverless architecture: reduce costs, eliminate patching, and scale automatically.

Enterprise AWS account governance using Control Tower: automated account vending, preventive and detective guardrails, and a scalable multi-account foundation.

Live updates, chat, presence, AI streaming or multiplayer: a WebSocket is a week to open and years to run. We start with a short fixed-price decision on whether your feature needs one at all, which transport and which platform (Vercel Functions, API Gateway, AppSync Events or a managed service), and what it will cost at your usage. Then, if you want, we build it.

GPU workstations for CAD and BIM streamed with Amazon DCV, project files next to them, and simulation capacity on AWS Parallel Computing Service or ParallelCluster, sized around your licences rather than around peak demand.

Instrument your application with distributed tracing, structured logging, and dashboards that tell you what's actually broken.

Implement a tested disaster recovery strategy that meets your RTO and RPO, before you need it.

A focused, senior-level review of your current AWS architecture, with a prioritized list of what to fix and why.

Before a launch post, a press hit or a demo day, we find what breaks first under load, fix it, and put caps on what can run away. You go into the day knowing your limits, with someone watching the dashboards.

One senior engineer who knows your account, answers within agreed hours, and fixes things rather than pointing at documentation. It complements AWS Support rather than replacing it: AWS's service teams still handle what only AWS can see, and we know your architecture, your code and your bill.

Deploy secure, scalable AI systems using AWS-native GenAI services. RAG, agent orchestration, and guardrails: production-ready.

A production AI platform on Amazon Bedrock: RAG pipelines, agent orchestration, guardrails, multi-tenant cost tracking, and the observability needed to run AI in production.

See what your AI features actually do: every prompt, response, cost and latency traced, and evaluations that tell you whether a change made things better or worse. Running in your own AWS account.

One governed way for every team to call AI models: keys held centrally, budgets and rate limits per team, fallbacks between providers, and hardening that assumes the gateway is a target.

Move every workload off a retiring Bedrock model before its end-of-life date (found across all your accounts, tested against your own traffic, rolled out in stages) and leave a lifecycle check behind so the next deadline isn't a surprise.

Give your engineers Claude Code or Codex running against Amazon Bedrock in your own AWS account (SSO, pinned models, guardrails, per-team cost tracking and a usage policy) so adoption is fast and nobody's code goes somewhere it shouldn't.

Turn FNOL forms, medical records, police reports, loss runs and invoices into validated data with Textract, Bedrock Data Automation or models on Bedrock, with human review where confidence is low and an audit trail regulators can follow.

Search and drafting over your firm's own documents, in your own AWS account, with matter and client permissions enforced, citations on every answer and an audit log. Built to fit professional confidentiality duties rather than work around them.

Production-ready SaaS architecture supporting secure multi-tenant isolation and rapid scaling.

Your app was built quickly and now people depend on it. We find and fix what leaks data, loses data or loses money: exposed keys, missing access rules, untested backups, unverified webhooks, email in spam and unbounded AI costs. No rewrite.

Your product outgrew what Amplify generated: list screens that scan, logic scattered across resolvers, reports nobody can run. We move you to your own API and a data model designed on purpose, screen by screen, while users stay signed in and the app keeps working.

A production-ready Kubernetes platform on EKS with Karpenter, GitOps, service mesh, full observability stack, and security hardening: built to run real workloads.

One to two weeks, fixed price, written findings. We read your schema, your access patterns and your bill, and tell you what to keep, what to move, how your events and records get to somewhere you can query them, and what that costs to build and to run.

A production data lakehouse on AWS (S3-backed data lake with Glue, Iceberg, Athena, and Redshift) structured for analytics, ML feature stores, and governed data sharing.

Pick the SaaS tool with the worst mix of price and data exposure, usually the CRM, analytics or the help desk. We replace it with an open-source tool or a focused build in your AWS account, migrate the history, and connect it to your other data, so the records and the AI that reads them are yours.

Medicare Advantage, Medicaid, CHIP and federal-exchange QHP payers need Patient Access, Provider Access, Payer-to-Payer and Prior Authorization APIs by January 1, 2027. We build them on AWS with HealthLake or a FHIR server, map your claims and clinical data to the required profiles, and wire prior authorization to your UM system.

Product and marketing analytics that run in your own AWS account: a small SDK for your site and your servers, a collector on your own domain, and raw events you can query with SQL. No third-party tracker, no per-event bill, nobody else holding your users' data.

A content and campaign system your marketing team runs without a deploy: landing pages built from your own components, campaigns that turn on and off as one switch, tracked links for every place you post, and email. Prerendered for search, measured end to end, running in your AWS account.

Get every Windows Server 2012/2016, SQL Server 2016/2017 and .NET Framework or .NET 8 workload onto a supported version before the deadlines, with the licence savings found along the way. Inventory, retire, upgrade or modernize, decided application by application.

Move off VMware before the next renewal: most VMs rehosted to right-sized EC2 with AWS Application Migration Service, a time-boxed Amazon EVS landing for what cannot move yet, and the data center contract ended on a date you choose.

SSRS has no new versions after SQL Server 2025 and Power BI Premium capacity is moving to Fabric F SKUs. We inventory what is actually used, size the right capacity or licences, and move reports to Power BI, Fabric or Amazon Quick Sight on the data you already have.

The Access database on a file share, the macro workbook finance depends on, the VB6 or Web Forms app only one person understands: replaced with a small, supported web application with real authentication, an audit log and a database that is backed up.

Amplify Gen 1 reaches end of life on May 1, 2027 and the Pinpoint-backed Analytics, Push Notifications and In-App Messaging lost their backend on October 30, 2026. We move each app to Gen 2, replace DataStore and Pinpoint features, and keep users, data and sign-ins intact.

From idea to a working connected device you can put in people's hands: ESP32 firmware, the radio, a custom board when a dev kit won't do, and the cloud backend and app behind it. One team, end to end, for prototypes and small batches.