Enterprise AI and Custom Software Solutions
I design and develop AI-powered platforms, automation systems, and scalable SaaS applications that deliver measurable business results — as a senior engineering partner, not an agency layer.
Reduce manual work with intelligent automation
Detect anomalies and quality issues using computer vision
Build scalable SaaS products and internal platforms
Integrate seamlessly with ERP, CRM, and third-party systems
Gain real-time insights with analytics dashboards
What I build for enterprise teams
Production-ready systems that automate operations, surface decisions, and scale with the organization. Direct contact with the architect — no PMs in the middle, no junior on the keyboard.
AI Automation Systems
I automate invoice processing, document handling, customer support, and operational workflows so your team focuses on judgement, not data entry.
Structured extraction from PDFs and forms
Document classification and routing
Customer-support copilots with grounded answers
End-to-end workflow orchestration
Custom SaaS Platforms
I build secure, scalable multi-tenant platforms, portals, and subscription applications — from auth and billing to dashboards.
Multi-tenant data with audit-grade isolation
Stripe billing, RBAC, workspace admin
Customer-facing dashboards and portals
Cloud deployment with monitoring
Computer Vision Applications
I develop AI solutions for quality inspection, anomaly detection, and visual monitoring across manufacturing, energy, and healthcare imagery.
Open-vocabulary anomaly localization
Annotation pipelines with human-in-the-loop
Heatmap + bounding-box review UIs
Edge or cloud deployment paths
Data Analytics Dashboards
Executive dashboards for KPI tracking, forecasting, and operational insights — backed by your existing data warehouse or operational stores.
Real-time KPIs with drill-down
Forecasting + anomaly callouts
Role-based access and export
GraphQL or REST APIs for downstream use
ERP and API Integrations
I connect SAP, Microsoft Dynamics, Exact Online, HubSpot, Salesforce, and custom systems with reliable, monitored integrations.
Two-way sync with idempotent retries
Schema-typed adapters per system
Audit log of every payload
Webhook + scheduled-job orchestration
Predictive AI Systems
Predictive maintenance, fraud detection, demand forecasting, and risk models — trained on your data and deployed with monitoring.
Feature pipelines from sensor / transaction data
Model training + evaluation harness
Drift detection and retraining schedule
Real-time inference behind your API
Flagship platforms I've shipped
Real production systems built end-to-end for AI automation, computer vision, multi-tenant SaaS analytics, and AI-driven workflow automation. Each one closes a measurable business gap, not a demo loop.
AI Customer Support
AI chatbot with knowledge base and RAG
AI Document Processing
Extract structured data from PDFs using AI
SaaS Starter Platform
Multi-tenant SaaS with auth, billing, and dashboard
AI Analytics Dashboard
SaaS analytics with prediction engine + GraphQL + AI insights
AI Incident Triage
Urgent tickets get routed to Slack in seconds
AI Lead Qualification
Score inbound leads and fan them out to your CRM in <5s
AI Anomaly Detection
Image-sequence anomaly detection on MongoDB Atlas Vector Search
Flagship platforms in production
Real systems shipped end-to-end — the business gap each one closes, the architecture behind it, and the tradeoffs that survived production.
AI-Powered Time-Series Image Anomaly Detection Platform
Inspection teams upload chronological image sequences, write a plain-English detection rule, and an open-vocabulary vision model (Grounding DINO with a gpt-4o-mini fallback) pins anomalies for human review. Annotation canvas, accept/reject workflow, and a Jobs page surface every detection run with phase-level progress.
AI Lead Qualification and CRM Dispatch Platform
Inbound forms route through an OpenAI-backed qualifier that returns a typed score, signals matrix, estimated ARR, and a tier-appropriate follow-up email — then a deterministic dispatcher fans the lead out to HubSpot, Salesforce, Slack, and email with a full audit trail.
Multi-Tenant SaaS Analytics Platform with Forecasting Engine
Executive dashboards with KPI tracking, deterministic forecasts, and anomaly callouts. A typed TypeScript engine owns the math; an LLM only narrates the output — so the AI layer can be swapped, retuned, or removed without touching the numbers leadership sees.
AI Workflow Automation for Support and Incident Triage
Every inbound ticket is classified by an LLM into a typed structure, then a deterministic rules engine routes the urgent few — fraud, outages, security — into Slack within seconds. Operations sees critical issues immediately instead of waiting for the next queue scan.
AI Customer Support Assistant with Document-Grounded Answers
Production-grade RAG assistant that answers customer questions only from your own indexed documents, cites the source for every reply, and refuses to guess when the knowledge base has no answer.
AI Invoice Processing and ERP Integration Platform
Automates PDF invoice intake, validates extracted fields against a strict schema, and exposes one search box that routes both content queries ("contracts mentioning indemnity") and numeric range queries ("unpaid invoices over €10k") to the right store.
Built for regulated, complex operations
Sectors where data volume, compliance burden, or operational complexity demand more than a spreadsheet or off-the-shelf SaaS.
Manufacturing
Quality inspection, predictive maintenance, MES integration.
Logistics and Ports
Document automation, ETA forecasting, terminal operations.
Energy and Utilities
Solar / grid inspection, demand forecasting, asset monitoring.
Financial Services
Fraud detection, compliance reporting, risk models.
Healthcare
Imaging triage, clinical workflow automation, HIPAA-ready stacks.
Agriculture and Food
Crop monitoring, yield forecasting, supply-chain traceability.
Professional Services
Document AI, billing automation, client portals.
Measurable results clients can expect
Outcomes I plan toward, contractually scope against, and measure once the platform is live.
80%
Reduce manual processing time
Document, invoice, and reporting work cut by up to 80% through structured extraction and workflow automation.
95%
Improve detection accuracy
Computer vision and predictive models that beat human eyeballing on anomaly recall while staying explainable to reviewers.
Real-time
Operational visibility
Executive dashboards with live KPIs, forecasting, and drill-down so decisions stop waiting for the monthly report.
Audit-ready
Accelerate compliance and reporting
ESG, CSRD, financial, and operational reports produced from primary data with the trail your auditors actually want to see.
10×
Scalable systems ready for growth
Multi-tenant, monitored, deploy-anywhere architectures that survive a 10× customer or data volume without a rewrite.
Proven tools, deployed at scale
Battle-tested infrastructure across frontend, backend, AI, data, cloud, and integration layers. Every choice picked for production reliability rather than novelty.
Frontend
Backend
AI
Data
Cloud
Integrations
From discovery to optimization
A predictable engagement pattern from kickoff to long-term operations. Every phase ends with a written artefact you keep.
01
Discovery
Define objectives, requirements, and success metrics. You leave the call with a one-page assessment.
02
Design and Architecture
Create scalable technical and product architecture, signed off before a line of production code is written.
03
Development
Build the platform using modern technologies and best practices. Weekly demos on a working URL, not slide decks.
04
Deployment
Deploy securely to cloud infrastructure with monitoring, alerting, and a runbook your team can operate.
05
Optimization
Monitor performance, capture outcomes against the metrics from Discovery, and continuously improve.
A senior engineering partner, not an agency layer
I help organizations design and build advanced AI and software solutions that automate operations, improve decision-making, and create scalable digital products. You work directly with the architect — no PMs in the middle, no junior on the keyboard, no translation layer between requirements and code. When a project benefits from extra capacity, I bring in trusted specialists from my network and tell you exactly who's involved.
10+ years shipping enterprise software end-to-end
Production AI systems in invoice processing, computer vision, predictive maintenance
EU-region deployments available (Hetzner, AWS eu-central, Mistral)
Hand-off documentation from day one — no vendor lock-in baked into the architecture
What partners say
“We replaced four spreadsheets and a brittle Power Automate flow with a single platform. Invoice processing went from a half-day per week to minutes, and our auditors stopped asking questions because the trail is clean.”
80% manual processing time eliminatedOperations Director
Operations Director · Logistics scale-up · NL“Direct contact with the architect makes a real difference. Decisions get made and shipped the same day. After three months we have a production AI system, not a slide deck.”
Production in 12 weeks, fixed scopeCTO
CTO · Industrial inspection SaaS · DE“Hand-off documentation was the cleanest I've seen. Our internal team took over from day one and the platform has scaled with us through two major customer rollouts.”
Zero-friction internal handoverEngineering Lead
Engineering Lead · Fintech analytics · UKQuestions before the first call
A 30-minute discovery call covering your objective, constraints, and timeline. Within 24 hours you receive a written technical assessment with a recommended approach, scope, and indicative timeline. From there we agree a fixed-scope phase or a defined sprint plan before any production work begins.
EU-region deployments by default (Hetzner, AWS eu-central, Mistral) with GDPR-aware architecture. Customer data is stored in your tenant or your cloud account, never mine. Standard practices include role-based access, encrypted secrets, audit logging on every mutation, and signed integration adapters. Mutual NDA and work-for-hire IP assignment are signed before any code or sensitive detail is shared.
I integrate with ERPs (SAP, Microsoft Dynamics, Exact Online), CRMs (HubSpot, Salesforce), data warehouses, identity providers, and any system that exposes a REST, GraphQL, or webhook surface. Each integration is built behind a typed adapter with retry, idempotency, and an audit log of every payload — so you can see exactly what was sent, when, and to which system.
You do. Work happens in your GitHub organisation from day one, under a work-for-hire IP assignment. You own the source, the database schemas, the prompts, and any model artefacts produced. No black-box deliveries, no vendor lock-in baked into the architecture — another engineering team can take over cleanly at any point.
Real concern, addressed by design rather than by hand-wave. Every project ships with clean code, written architecture docs, environment runbooks, and a README that lets a senior engineer pick it up the same day. For multi-month engagements I introduce a backup engineer from my trusted network at kick-off, so if something happens you're never stranded with a half-built system. Hand-off after launch is part of the deliverable, not an afterthought.
Each platform ships with monitoring, alerting, and a runbook your team can operate. Post-launch support is offered either as a monthly retainer with a response SLA, or as a clean handover to your in-house team after a knowledge-transfer week. Maintenance includes bug fixes, dependency upgrades, model evaluation, and small feature work scoped per cycle.
A production-ready MVP (custom SaaS, AI automation, or computer vision platform) typically ships in 6 to 12 weeks depending on integrations and compliance scope. AI features for existing products land in 3 to 4 weeks. Architecture reviews, audits, and 90-day technical roadmaps are produced in a single week. Every phase ends with a written artefact you keep.
Theuy Limpanont
Netherlands · CET · Replies within 4hReady to Build Your Next AI or Software Solution?
Let's discuss how automation, AI, and custom software can help your organization grow. A 30-minute discovery call produces a written technical assessment within 24 hours — no obligation, no slide deck.