Hi, I'm
Ignateus Marten
AI Readiness Consultant helping companies find out what AI can actually do for their business — before they spend on a build. 12+ years building the production data infrastructure this requires.
Currently booking AI Readiness Audits.
About
I'm an AI Data Architect Consultant with 12+ years of experience building the production data infrastructure that real AI adoption requires — not a slide-deck strategist guessing at your stack. I spent 8 years at Oracle Health & AI building healthcare data infrastructure on the HealtheIntent platform — designing real-time and batch pipelines that processed millions of events a day across 230+ data sources. I'm currently working as an AI Data Architect for a financial institution, doing the same data readiness and pipeline work I bring to every audit, and I'm Co-Founder & CTO of BlueRead, a SaaS platform helping contractors extract data from blueprints and generate bids faster — built and shipped solo, end-to-end. That combination is what an AI Readiness Audit from me gives you: an honest read on your data, systems, and team, and a clear roadmap for taking your business to the next level with AI.
AI Readiness Audit
Find out what AI can actually do for your business — before you spend on a build. Most companies know they should “do something with AI,” but nobody can tell them what's actually feasible given their data, their systems, and their team. I deliver a clear-eyed assessment, not a slide-deck guess.
What You Get
Readiness Scorecard
Scored across data quality, infrastructure, governance, and team capability.
Data & Systems Gap Analysis
The specific pipelines, integrations, and data quality issues standing between you and your highest-value use cases.
5–10 Ranked Use Cases
Prioritized by feasibility and rough ROI, each flagged as build vs. buy.
90-Day Roadmap
Concrete next steps, sequenced.
Walkthrough Call
A working session to go through findings, not a slide read.
Process
- Week 1
- Stakeholder interviews, systems inventory, data access review
- Week 2
- Pipeline and data-quality analysis, use case identification
- Week 3
- Scoring, roadmap development, report drafting
- Week 4
- Delivery and walkthrough call
Timeline: 2–4 weeks depending on complexity.
Investment
$8,000 – $20,000, fixed fee — scoped based on number of systems, data sources, and locations involved. No hourly billing. No surprise invoices. You know the cost before we start.
Why IMAR Dev
- Currently working as an AI Data Architect for a financial institution — this is the same data readiness and pipeline work done daily, not a one-off engagement
- 12 years building production data infrastructure at Oracle Health & AI (Kafka, Storm, Hadoop, HBase) — real pipeline experience, not theoretical
- Founder/CTO of a live SaaS product (BlueRead) — built and shipped an AI-driven product end-to-end, solo
- You walk away with a clear, sequenced roadmap to AI readiness — not just findings, but a concrete path for taking your business and your data to the next level
Projects
SaaS platform helping contractors and construction managers extract data from blueprints and generate bids from their current inventory. Designed and built solo, end-to-end — from database schema to deployment.
Next.js, Vercel, Clerk, Prisma, Supabase, BullMQ, Cloudflare R2
HealtheIntent Real-Time Pipelines
Near real-time healthcare data pipelines processing millions of events per day across 230+ legacy sources for Oracle Health and AI.
Kafka, Storm, HBase, Hadoop Ecosystem
Real-Time Latency Reduction
A microservice that cut data processing latency from ~20 seconds to ~3 seconds, an ~85% improvement, across Oracle's HealtheIntent platform.
Java, Hadoop Ecosystem
Resume
- Current Role
- AI Data Architect Consultant, IMAR Development LLC
- Experience
- 12+ years (8 in healthcare data)
- Top Skills
- AI Readiness Assessment, Data Architecture, Kafka, Java, AWS