SYSTEMS //5 Flagship Architectures
Five ways we eliminate
operational friction.
We don't sell generic templates. We eliminate operational bottlenecks through bespoke systems engineering — from automated document pipelines to custom ERPs and multi-tenant SaaS platforms.
DELIVERY PROTOCOL
How Every Architecture Moves from Schema to Production
STAGE [01]DISCOVERY & SCHEMA
Operational Data Modeling
We audit real-world workflows, map entity relationships, and design a strict, type-safe database schema before touching UI.
STAGE [02]ARCHITECTURE & PROTO
Interactive Prototype & APIs
Core API endpoints and clickable full-density UI views deployed within 14 days so your team validates real mechanics early.
STAGE [03]PRODUCTION BUILD
High-Throughput Engineering
Resilient background queues, transactional database mutations, role-based auth, and automated test coverage across all paths.
STAGE [04]ENTERPRISE HANDOFF
Zero-Lock-in Deployment
Complete CI/CD infrastructure as code deployed directly into your AWS/GCP cloud accounts with 100% IP ownership transferred.
01 //
Scope this SolutionAI & AUTOMATION
AI & Automation
Autonomous pipelines, LLM copilots, and intelligent document processing that eliminate repetitive operational overhead.
““Our senior operators spend 3 hours a day parsing inbound documents and copy-pasting data across systems.””
CORE ARCHITECTURAL DELIVERABLES
Intelligent Document Processing (IDP) with schema validation
Custom Retrieval-Augmented Generation (RAG) internal knowledge assistants
Autonomous webhook-triggered event workflows
Human-in-the-loop review queues and audit logs
OPERATIONAL FRICTION VS. ARCHITECTURE
✕
Current Friction: Accounts payable teams manually keying multi-line PDF invoices into an ERP, one at a time, before an invoice can even enter the approval queue.
✓
Mindvrix Architecture: Automated inbox parsing that itemizes each invoice line, cross-checks PO numbers against the database, and flags price discrepancies for review.
SYSTEM SPECIFICATION //READY TO DEPLOY
Architecture Type:Event-Driven AI Microservices
Deployment Target:AWS Lambda / ECS / Private VPC
Typical Cadence:3 to 6 weeks
Primary Production Stack:
Python / FastAPILangChain / LlamaIndexOpenAI / Anthropic APIspgvectorRedis Queues
SYSTEM PIPELINE STAGES
[01]Ingestion & SanitizationAWS S3
[02]Neural Extraction & ParsingClaude 3.5 Sonnet
[03]Confidence Scoring & Human LoopNext.js Review UI
[04]Transactional Downstream SyncPostgreSQL
02 //
Scope this SolutionBUSINESS SYSTEMS
Business Systems
Bespoke operations platforms, internal ERPs, and custom management consoles engineered around your team's exact workflow.
““Our team operates across 14 master Google Sheets. One broken formula breaks our entire Friday dispatch.””
CORE ARCHITECTURAL DELIVERABLES
Custom ERP & Operations Management Systems
Real-Time Inventory, Warehouse & Dispatch Consoles
Internal CRM & Customer Lifecycle Tracking
Executive Telemetry, Analytics & Financial Dashboards
OPERATIONAL FRICTION VS. ARCHITECTURE
✕
Current Friction: Dispatchers routing field technicians via group chats and phone calls, resulting in lost work orders and inaccurate billing records.
✓
Mindvrix Architecture: Real-time dispatch board mapping technician locations, job statuses, and digital sign-offs directly linked to customer invoices.
SYSTEM SPECIFICATION //READY TO DEPLOY
Architecture Type:Modular Monolith / Micro-Frontend
Deployment Target:AWS (ECS / RDS) / Vercel Enterprise
Typical Cadence:6 to 10 weeks
Primary Production Stack:
Next.js (App Router)TypeScriptPostgreSQL / PrismaTailwind CSSRedis
SYSTEM PIPELINE STAGES
[01]Relational Domain ModelingPostgreSQL
[02]Access Control & Security CoreAuth.js / Supabase Auth
[03]Real-Time Event & Query EngineNext.js Server Actions
[04]Audit Telemetry & ReportingPostgreSQL Trigger Logs
03 //
Scope this SolutionSAAS & DIGITAL PRODUCTS
SaaS & Digital Products
Production-ready SaaS platforms, customer portals, and commercial web apps engineered for scale, high conversion, and recurring revenue.
““We have a validated market need and eager pilot customers, but no in-house technical team to build a scalable multi-tenant SaaS.””
CORE ARCHITECTURAL DELIVERABLES
B2B & B2C Multi-Tenant SaaS Web Applications
Client Self-Service Portals & Collaborative Dashboards
Stripe Billing, Metered Usage & Subscription Tiers
Developer APIs, Webhook Infrastructure & SDKs
OPERATIONAL FRICTION VS. ARCHITECTURE
✕
Current Friction: Founders manually compiling property valuation reports in spreadsheets, with no software product to sell as a recurring subscription.
✓
Mindvrix Architecture: Multi-tenant web application with custom property dashboard, automated data feed ingestion, and tiered Stripe subscriptions.
SYSTEM SPECIFICATION //READY TO DEPLOY
Architecture Type:Multi-Tenant Cloud-Native Platform
Deployment Target:Vercel / AWS / Cloudflare
Typical Cadence:8 to 12 weeks
Primary Production Stack:
Next.jsTypeScriptPostgreSQL / SupabaseStripe BillingTailwind CSSRedis
SYSTEM PIPELINE STAGES
[01]Tenant Isolation & Auth LayerAuth.js / Supabase Auth
[02]Billing & Entitlement EngineStripe Billing API
[03]Core Product Engine & APINext.js Server Actions
[04]Telemetry & Customer AnalyticsPostHog
04 //
Scope this SolutionINTEGRATIONS
Integrations
Reliable API connectors, bidirectional data sync pipelines, and event-driven architectures that unite your fragmented software stack.
““Our sales team closes in HubSpot, our warehouse fulfills in NetSuite, and our finance team balances QuickBooks by manually re-typing numbers.””
CORE ARCHITECTURAL DELIVERABLES
Bidirectional CRM, ERP & Financial Sync Pipelines
Custom REST & GraphQL API Connectors
Webhook Listeners with Dead-Letter Queues & Replay
Automated Data Normalization & Reconciliation Workers
OPERATIONAL FRICTION VS. ARCHITECTURE
✕
Current Friction: Online retailer selling on Shopify while orders were manually downloaded via CSV and uploaded to a 3PL warehouse portal once a day.
✓
Mindvrix Architecture: Event-driven webhook bridge that captures orders instantly, formats customs and packaging specs for the 3PL API, and syncs fulfillment tracking back to Shopify and NetSuite.
SYSTEM SPECIFICATION //READY TO DEPLOY
Architecture Type:Event-Driven Integration Layer
Deployment Target:AWS Lambda / Docker / Serverless
Typical Cadence:3 to 6 weeks
Primary Production Stack:
TypeScript / Node.jsRedis / BullMQPostgreSQLAWS SQSWebhooks
SYSTEM PIPELINE STAGES
[01]Webhook Intake & Signature VerificationFast Webhook Endpoint
[02]Durable Message QueueRedis / BullMQ
[03]Schema Transformation & NormalizationTypeScript / Zod
[04]Idempotent Dispatch & ReconciliationExponential Backoff
05 //
Scope this SolutionDIGITAL EXPERIENCES
Digital Experiences
High-converting marketing websites, interactive web applications, and precision design systems that command authority in your market.
““Our technology and service are top-tier, but our website looks like a generic 2019 template that fails to convey our true capability.””
CORE ARCHITECTURAL DELIVERABLES
High-Performance Marketing & Conversion Websites
Interactive Product Demos & WebGL Storytelling
Scalable Design Systems & Component Libraries
Technical SEO & Core Web Vitals Optimization
OPERATIONAL FRICTION VS. ARCHITECTURE
✕
Current Friction: Engineering consultancy with specialized AI capabilities stuck with an outdated website that made them look like a generic web shop.
✓
Mindvrix Architecture: Ultra-sleek dark-mode digital experience with interactive 3D architecture diagrams, technical case breakdowns, and editorial typography.
SYSTEM SPECIFICATION //READY TO DEPLOY
Architecture Type:Modern Jamstack / Next.js Edge
Deployment Target:Vercel Edge Network / Global CDN
Typical Cadence:4 to 7 weeks
Primary Production Stack:
Next.js (App Router)TypeScriptTailwind CSSGSAP 3.15Three.js / WebGL
SYSTEM PIPELINE STAGES
[01]Design System & Brand TokensTailwind CSS
[02]Interactive Choreography LayerGSAP ScrollTrigger
[03]Edge SSR & Static Pre-RenderingNext.js SSG/ISR
[04]Technical SEO & Analytics CoreSchema.org JSON-LD
ARCHITECTURE WORKSHOP
Which bottleneck is costing you the most?
Book a 45-minute technical discovery session with a senior engineer. We'll map your data models, analyze operational friction, and outline a fixed-sprint roadmap.