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Production systems we have built and shipped.

Detailed examples of AI systems, platforms, and products delivered for healthcare, B2B SaaS, real estate, marketing, and operations teams.

AI & LLM SystemsPlatform EngineeringFull-Stack ProductsEnterprise Automation
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Production systems, in detail

The constraint, technical response, and measurable outcome behind each system.

AI-Powered Property Management Platform case study
Real Estate
AI Development

AI-Powered Property Management Platform

US property-management operator

A multi-tenant property management platform with AI-generated insights, automated reporting, and real-time analytics — built end to end, from architecture to production.

Challenge

Property data lived in spreadsheets and disconnected tools, so reporting was manual and decisions lagged weeks behind the data

Solution

A single multi-tenant platform with automated reporting and AI-generated recommendations for rent, maintenance, and retention

  • Automated reporting replaced ~25 hours of manual work per week
  • Multi-tenant architecture serving 1,000+ properties
  • Analytics pipeline handling 10M+ data points
ReactTypeScriptNode.jsGraphQLPostgreSQLRedis
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Enterprise Workflow Automation on n8n case study
Enterprise Operations
Automation Development

Enterprise Workflow Automation on n8n

Enterprise operations team

A self-hosted n8n automation platform with custom nodes, connecting core business systems and replacing manual, error-prone processes across departments.

Challenge

Manual processes across departments caused delays, copy-paste errors, and no visibility into where work was stuck

Solution

A hardened, self-hosted n8n platform with custom nodes for internal systems and monitored, retry-safe workflows

  • 85% reduction in manual data entry across automated processes
  • 60% faster end-to-end process completion
  • Real-time execution monitoring with structured error handling
n8nCustom nodes (TypeScript)Node.jsPostgreSQLRedisDocker
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AI Voice Agents for Inbound & Outbound Campaigns case study
Marketing
AI Development

AI Voice Agents for Inbound & Outbound Campaigns

US marketing company

A multi-tenant voice AI platform on Twilio and Vapi that runs inbound and outbound calling campaigns — live conversations, voicemail drops, SMS follow-ups, and queue-based pacing across tenants.

Challenge

Manual dialing and follow-up capped how many prospects the team could reach, and missed inbound calls meant lost opportunities

Solution

AI voice agents on Twilio and Vapi that run outbound campaigns and answer inbound calls, with automated voicemail drops and SMS follow-ups

  • AI agents covering both inbound reception and outbound campaign calls
  • Automated voicemail drops and SMS follow-up on unanswered calls
  • Central campaign management with call logs and transcripts
VapiTwilio VoiceTwilio SMSNode.jsTypeScriptQueue-based pacing
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AI Clinical Documentation Platform case study
Healthcare
AI Development

AI Clinical Documentation Platform

US healthcare provider (confidential)

An AI-assisted clinical documentation system that cut physician data entry by 60% — with human review on every AI-generated note and HIPAA-aware data handling.

Challenge

Physicians were losing hours per day to manual documentation, and off-the-shelf AI scribes could not integrate with the existing records workflow or meet compliance requirements

Solution

An AI-assisted documentation platform that drafts structured clinical notes for physician review, integrated with the existing workflow and built HIPAA-aware from the first commit

  • 60% reduction in physician data-entry time
  • Human review required on every AI-generated note
  • HIPAA-aware architecture: access controls and audit trails throughout
ReactTypeScriptNode.jsPostgreSQLAWSLLM integration
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Document Intelligence at 50,000-PDF Scale case study
B2B SaaS
AI Development

Document Intelligence at 50,000-PDF Scale

B2B data platform (confidential)

A document ingestion and search platform that makes roughly 50,000 PDFs searchable — with every answer traceable back to its source page.

Challenge

Tens of thousands of vendor PDFs in inconsistent formats made the client’s most valuable data effectively unsearchable — and answers without source citations could not be trusted

Solution

A normalization and validation pipeline feeding a search platform where every result carries citations back to the exact source pages

  • ~50,000 PDFs ingested, normalized, and made searchable
  • Validation pipeline with quarantine for malformed documents
  • Every search result traceable to its source pages
PythonTypeScriptReactPostgreSQLAWSSearch & retrieval
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More work

Additional projects

Capabilities

What We Build

Production systems for product companies. Long-term engagements with architecture-led delivery.

AI & LLM Systems

RAG pipelines, LLM orchestration, vector databases, and production AI systems that handle real workloads.

Platform Engineering

Cloud infrastructure, CI/CD pipelines, Kubernetes, observability, and reliable deployment workflows.

Full-Stack Products

Mobile and web applications built with modern stacks. React, Next.js, Node.js, and native mobile.

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