Application Modernization Portfolio Planner
Compare up to eight applications to set 7R directions, transition waves, and a 90-day action plan.
Run the planner● STRATEGY · ENGINEERING · OPERATIONS
AI transformation strategy,
built into systems that run.
We assess AI and cloud challenges in regulated industries—from finance and healthcare to media—and the same team implements the architecture, PoC, product, and operating model.
Clients and partners we've built with
In regulated, operationally demanding environments, we stay from defining direction through launch and production stabilization.
Megazone Cloud
Korea University Hospital
KB Kookmin Bank
Dispatch News Group● PROVEN OUTCOMES
We changed operating metrics across cost, automation, and delivery.
Measured outcomes from three different engagements, each linked to the way we worked and what changed.
- Cloud cost$1,650 → $400monthly AWS cost · about 76% lower
We right-sized an undocumented AWS environment from measured usage.
We removed oversized capacity and end-of-support charges without changing the application code.
Read the execution record - AI automation−70%human review · tens of thousands processed monthly
We moved manual tagging and translation into production in four weeks.
After validating quality on production data, we put a multilingual pipeline in place so people review exceptions only.
View the AI automation case - Application modernization−60%deploy lead time · 99.9% availability
We modernized delivery without stopping the live service.
We separated the riskiest modules in stages so small changes could ship faster and more reliably.
View the modernization case
● WHAT WE DO
Start with the constraint holding you back.
You do not need to translate your challenge into a service name first. Start with the biggest constraint and we connect the scope from there.
- 01AX ConsultingAX ConsultingIf your AI priorities are still unclearNot “we adopted AI” but “AI delivers results.” From diagnosis and prioritization to a working PoC we build and validate ourselves.→
- 02Cloud & InfrastructureCloud & Infrastructure · AWSIf cost, security, GPU, or operations are unstableEasy to scale, monthly infra cost down as much as −90%. Not just greenfield builds — we fix the cost, security, and operations that are already bleeding.→
- 03Application ModernizationApplication ModernizationIf legacy systems slow every change and releaseModernize a running legacy application without stopping it. We stay from assessment through phased cutover and operational handover.→
- 04Product EngineeringProduct EngineeringIf a PoC now has to become a customer-facing productTurn a PoC into a product people use every day. One team owns AI-powered web·mobile from design to launch and operations.→
- 05Data & ML EngineeringData & ML EngineeringIf models and data are not reaching productionFrom “it ran” to “it serves reliably in production.” We own the full ML lifecycle from ingestion to deployment and operations.→
● DECISION RESOURCES
Practical resources for the decision in front of you.
Use a guide, planner, self-assessment, or benchmark to evaluate cloud and AI governance, modernization sequencing, operating maturity, and RAG architecture.
- SELF-ASSESSMENTSOperating maturity self-assessmentsAssess observability and AWS security maturity, then set priorities for the next 90 days.Choose an assessment
- PUBLIC BENCHMARKSchool Health Document RAG BenchmarkCompare RAG responses and performance under the same Korean PDF and embedding conditions.View the benchmark
- ASSESSMENT MODELCloud Security Maturity ModelReview current criteria and action steps across ten AWS security capabilities and four maturity phases.Explore the model
● WHY 801
How does 801Planet reduce execution risk?
801Planet reduces execution risk by designing around regulatory and operating constraints from the start. The same team owns strategy, architecture, implementation, and handover, which limits information loss and accountability gaps. We validate technical, cost, and operating assumptions early, then expand only the scope that meets measurable criteria.
Regulation is designed in, not bolted on
Security, privacy, audit, and operating constraints become architecture inputs from the start.
Production gates come before the PoC
Value, data, evaluation, cost, and operations get explicit exit criteria so the demo can become a service.
The build team designs the handover
We leave code, documentation, and runbooks so your internal team can operate after the project ends.
● HOW WE WORK
What happens after you contact us.
We hear the current state, set priorities, create a small piece of evidence, and expand only into an operable scope.
- Frame the problemConfirm the current state, constraints, and success criteria
- Design the validationSet priorities, architecture, and PoC scope
- Build and launchImplement and validate in the real environment
- Operate and improveObserve, optimize, and hand over to the internal team
● SELECTED WORK
How have we solved similar challenges?
We solve similar challenges by defining the client’s constraints and target measures first, validating value and risk in a small implementation, and expanding the operating scope in stages. Client identities remain anonymized, but each case preserves the problem, architecture decisions, execution sequence, measured outcomes, and remaining limitations.
- ↳H100 GPU self-service orchestration portalMajor university hospital · healthcareTurned a manually-coordinated H100 cluster into a Kueue self-service portal. 2× utilization, 18 months zero downtime.→
- ↳AI influencer discovery·seeding platformEntertainment·mediaOne team designed and shipped an influencer discovery·campaign-seeding platform — product and AWS infrastructure.→
- ↳Root-cause analysis of a DDoS·breach and a rebuilt defense systemE-commerce·gamingPinned down the root cause of DDoS·hacking attempts and rebuilt the defense, from detection through response.→
● INSIGHTS
Decision criteria to review before you buy.
A curated set on moving AI PoCs into production, scoping modernization, and controlling cloud cost before an engagement begins.
From AI PoC to production — how to design the transition gatesAX cases & methodology · July 16, 2026A six-gate method for moving an AI proof of concept into production. Decide with evidence across value, data, evaluation, risk, architecture, and operating readiness.→
Where should application modernization start? Map the transition before the rewriteApplication Modernization · July 18, 2026A practical guide to modernizing legacy applications without a big-bang rewrite: assess the current estate, choose retain, replace, replatform, refactor, or rearchitect, then design phased cutover and outcome metrics.→
An AWS Account With No Keys and No Docs — How $1,650/mo Became $400Cloud / AWS in practice · July 20, 2026We re-read a six-year-old service's abandoned AWS account through API inventory and measured metrics, then executed an Aurora major upgrade and rightsizing with zero-downtime tooling. Monthly cost dropped to a quarter without touching application code.→
● PLATFORMS
Fit the technology to the workload.
We choose around security, cost, and operating conditions—not a preferred vendor.
AWSGoogle CloudAzureNCPNHN ToastVMwareCloudflareVercelSupabaseSnowflake
Assess it yourself, or work through it with an expert.
Use the 15–20 minute self-assessment to locate your current state, or request an expert review when the challenge is more complex. An engineer reviews your note and replies by email first.
● Already trusted by teams across finance · healthcare · media · public