Follow-the-Sun Delivery
Work continues across US and APAC business hours, reducing handoff delays and shortening delivery cycles.
VAULTRADAR LLC · Architecture-Led AI Engineering
Accelerated AI Delivery Across Time Zones.
VaultRadar leads each engagement under US LLC contracts and remains accountable for architecture, delivery quality, and acceptance. Work continues across US and APAC business hours, reducing handoff delays and shortening delivery cycles.
- US LLC Contracting
- Milestone-Based Payments
- 30-Day Post-Launch Warranty
Trust & Value
Architecture-led delivery with clear ownership and contracts.
Accountable Managed Delivery
VaultRadar leads each engagement and assembles the technical capabilities required for the agreed scope. We remain accountable for architecture, delivery quality, and acceptance.
US LLC Contracting
Contracts are signed directly with VaultRadar LLC. Governing law, payment terms, intellectual property, and acceptance criteria are defined in the MSA and SOW.
Architecture-Led Engagements
Every engagement is architecture-led by VaultRadar. Specialists are assigned only when their expertise matches the agreed scope.
Services
Three focused delivery tracks—from architecture through production.
VaultRadar leads each engagement and assembles the technical capabilities required for the agreed scope. We remain accountable for architecture, delivery quality, and acceptance.
01
AI Architecture & Delivery Sprints
Short, architecture-led engagements to define scope, system design, delivery plan, and go/no-go recommendations before full implementation. Typical outputs include architecture notes, risk assessment, and a credited path into build work.
02
Production AI Systems — Agents, RAG and LLMOps
Build and harden production AI applications: agent workflows, Production RAG & Knowledge Systems, evaluation pipelines, and operational controls for cost, latency, and reliability.
03
AI Infrastructure, Cloud Delivery and Reliability
AWS-centered cloud delivery with Kubernetes, Terraform, CI/CD, observability, and production reliability practices—so AI systems ship with clear release controls and documented rollback plans.
Products
Private AI products for teams and individuals.
VaultRadar builds private AI software and infrastructure for teams and individuals who want greater control over their models, documents, and deployment environments.
A VaultRadar product
Aegis
Self-hosted AI document review software for teams that need private, customer-controlled review workflows.
Playbook-guided review, source-grounded findings, local model compatibility, and private Docker deployment.
Explore AegisA VaultRadar product
LocalAI Workspace
A privacy-first AI workspace for local AI users and developers, designed to connect models running on your own devices or infrastructure.
Connect local models, work with local documents and knowledge bases, and keep core AI workflows in environments you control.
Explore LocalAI WorkspaceFounder-Led Delivery
Senior technical ownership from architecture through launch.
VaultRadar is led by Leo Li, a DevOps and cloud infrastructure professional with 17+ years of experience supporting financial and internet production systems.
Every engagement receives direct architecture oversight, documented delivery controls, and hands-on support across AWS, Kubernetes, Terraform, CI/CD, observability, and production reliability.
This section describes founder professional experience and public engineering work. It is not a claim of completed VaultRadar client case studies.
Client Delivery Workspace
A structured client workspace for every engagement.
Every VaultRadar engagement includes a controlled client collaboration workspace for milestones, deliverables, risks, decisions, documents, demonstrations, approvals, and next actions.
We currently use Teamwork as our default production collaboration platform, configured around the VaultRadar Delivery Assurance process. Alternative platforms may be used when required by client security, compliance, or workflow needs.
See Our Delivery Assurance Demo
The demo illustrates our delivery methodology. It is not the production collaboration system used for active client engagements.
01
Project status and verified progress
Clients receive clear updates on completed outcomes, current milestones, blockers, and next deliverables.
02
Milestone evidence and approvals
Review acceptance criteria, supporting evidence, demonstrations, feedback, and approval status in the project collaboration workspace.
03
Risk and decision visibility
Track delivery risks, client dependencies, pending decisions, owners, and due dates.
04
Documents and demonstrations
Access approved project documents, delivery evidence, recordings, and release materials in one controlled workspace.
05
Release readiness tracking
Review architecture, security, testing, deployment, documentation, and client-acceptance readiness before release.
Commitments
Delivery Commitments Designed to Reduce Risk
Built for CTOs and Founders who need senior engineering output with clear contractual and delivery controls.
Milestone-Based Payments
Milestone-based billing with written acceptance criteria. Payment terms are defined in the applicable SOW.
30-Day Post-Launch Warranty
We provide 30 days of free bug-fixing, system stabilization, and performance monitoring after production deployment. Applies to defects within the agreed delivered scope. New features, scope changes, third-party outages, and client-controlled infrastructure changes are excluded.
Production Quality Gates
Production changes follow defined review, testing, security, and release-readiness checks appropriate to the engagement.
US LLC Contracting
Contracts are signed directly with VaultRadar LLC. Governing law, payment terms, intellectual property, and acceptance criteria are defined in the MSA and SOW.
Delivery Model
Clear specs. Visible progress. Fewer handoff delays.
Built for clients who want senior engineering output across US and APAC business hours—without daily standup theater or stalled waiting.
- 01
Scope & Architecture Spec
We break down your requirements into explicit OpenAPI contracts and Architecture Design Docs.
- 02
Async Execution & Sync
Track progress on GitHub Issues / Linear during overlapping and APAC business hours. Weekly Loom walkthroughs and async Slack updates keep handoffs clear.
- 03
Quality Guardrails & Launch
Code review, automated unit testing, staging environment validation, and controlled production release with a documented rollback plan.
Delivery Metrics
Outcomes measured in cost, latency, and reliability.
Success criteria defined before implementation.
Every engagement begins with a documented baseline and measurable acceptance targets. Depending on the system, we track:
Cost Efficiency
Cost per request, model and API spend, cache hit rate, and infrastructure utilization.
Performance
p95 latency, throughput, timeout rate, and response quality.
Reliability
Availability targets, deployment success rate, error rate, and recovery time.
Targets are agreed in the SOW and measured against the client's baseline. Results vary by workload, architecture, and environment.
Example Engagement Pattern
RAG Architecture Optimization
- Typical challenge
- Variable response latency, rising API spend, and inconsistent retrieval.
- Potential approach
- Hybrid retrieval, evaluation pipelines, and semantic caching.
- Metrics tracked
- Cost per resolved query, p95 latency, cache hit rate, and grounded-answer quality.
Example Engagement Pattern
Cloud Infrastructure Re-platforming
- Typical challenge
- Manual deployments, limited rollback capability, and release bottlenecks.
- Potential approach
- Containerization, infrastructure as code, and automated CI/CD workflows.
- Metrics tracked
- Deployment frequency, change failure rate, recovery time, and agreed availability targets.
Project Brief
Ready to accelerate your product roadmap?
Fill out a quick brief below. We'll review your requirements and respond with initial questions, a recommended next step, or a preliminary scope within two business days.