Building now Kristian Ortega · Finance-trained AI product builder

Building Pythia Analytics—a clearer way to research investments.

I work in finance at OKO Group and build Pythia outside the day job—an AI-native investment research workspace that keeps sources, reasoning, valuation context, and portfolio review inside one visible analytical chain.

Explore Pythia Open case study

LIVE PRODUCT Invite-only workspace

PUBLIC EVIDENCE Case study + build notes

VISIBLE SYSTEM Architecture + data boundaries

Current product View Pythia

Live Pythia homepage / current product screenshots Analysis pipeline · workflows · portfolio review

01 · Flagship project

The project is the proof.

Pythia turns investment research into a visible, reusable workflow—from company evidence and valuation context to saved analysis, portfolio review, and assistant-guided actions. The public product, case study, architecture, and build notes make the work inspectable rather than merely claimed.

01 / VISIBLE CHAIN

Research that shows its work.

Sources, metrics, valuation context, and the resulting thesis stay connected so a reader can inspect how the conclusion was formed.

02 / SAVED STATE

Analysis becomes reusable product state.

Research can be reopened, compared, replayed, and audited instead of disappearing inside a one-off static report.

03 / PORTFOLIO LOOP

Review decisions, not just returns.

Contribution, timing, saved thesis context, and what-if analysis create a more disciplined feedback loop.

04 / AI BOUNDARY

AI assists. The data layer stays authoritative.

The product separates deterministic services from advisory model output and keeps approvals and boundaries explicit.

05 / PUBLIC PROOF

A product story people can inspect.

Current screenshots, a public-safe portfolio case study, technical diagrams, and build writing show both product judgment and implementation depth.

Explore the public surface →

Product Current workspace ↗ Case study Portfolio 8 ↗ Architecture System diagrams ↗ The Ledger Founder notes ↗

02 · Experience & credentials

Finance underneath.
Product on top.

Pythia is the synthesis: formal finance training, real operating experience, self-directed technical learning, and the discipline to keep shipping an evolving product.

Flagship projectBuilding now

Pythia Analytics

Designing and shipping an AI-native investment research workspace around source-backed research, visible analytical chains, saved state, portfolio review, and explicit data boundaries.

Read the build notes →

Professional workCurrent

OKO Group

Supporting accounting, financial, and business operations within luxury real estate development in Miami—where capital, projects, and operational detail meet.

Visit OKO Group →

2025 BBA Finance — Magna Cum Laude Florida Atlantic University

2025 Securities Industry Essentials (SIE) FINRA

2024 AA — Magna Cum Laude Palm Beach State College

— Core Financial Modeling Breaking Into Wall Street

03 · The story

A finance mind that learned to ship.

I work where capital meets concrete—and increasingly, where finance meets software.

I studied finance because I wanted to understand how companies, markets, and capital compound over time. Building Pythia became the practical application: research, modeling, automation, product decisions, and constant iteration inside one system I actually use.

AI should improve the quality of judgment—not hide the reasoning behind it. Working principle

Focus: Financial analysis, real estate finance, AI-native product development, research workflows.
Currently: OKO Group by day; building and documenting Pythia Analytics outside the day job.
Approach: Source-aware, skeptical, iterative, and focused on making complicated analysis easier to inspect.
Read the origin story: Why I built Pythia →

04 · Follow the build

See what Kristian is building.

Explore the product, inspect the public case study, or connect directly on LinkedIn.

Open Pythia Connect on LinkedIn