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DGoodman Corp

We Build Digital Experiences

From business applications to mobile games, we turn ideas into software.

Explore our solutions Let's build something

Our Solutions

Starting prices. Clear scopes. Fixed quotes.

Fix what's broken, build what's next, modernize what's aging, or rescue what's stalled.

Most popular

Build

Starts at $5,000

Business applications, internal tools, portals, SaaS MVPs, and mobile apps and games.

Learn more about Build

Starting prices reflect typical engagements in USD. Final pricing is based on the approved scope and technical requirements.

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Meet the Team

Small team. Senior ownership.

You work directly with the engineers who plan, build and ship your software.

Portrait of Benz M. De Guzman

Benz M. De Guzman

Co-founder & Lead Engineer

Software engineer with 10 years of professional experience building, maintaining, and modernizing web applications and business systems. Leads technical architecture and engineering, with experience spanning legacy modernization, SaaS, production systems, and AI/ML integrations.

View portfolio of Benz M. De Guzman (opens in a new tab)
Portrait of Jazelle Mae Toledo-De Guzman

Jazelle Mae Toledo-De Guzman

Senior Full Stack Engineer

Full Stack Developer with 9+ years of professional experience building and maintaining production applications across government, enterprise, and private-sector environments. Leads full-stack delivery and application engineering, with experience spanning database design, APIs, modern frontends, CI/CD, and business-critical systems.

View portfolio of Jazelle Mae Toledo-De Guzman (opens in a new tab)

Selected Work

Shipped work, explained.

For each project: the problem, what we built, what was hard, and what changed.

TaxZed cover

SaaS web application

TaxZed

Problem
Small Philippine businesses track expenses, revenue, VAT and suppliers by hand, and most tools aren't built around local tax rules.
What we built
A multi-tenant bookkeeping SaaS with automatic VAT, locked accounting periods, supplier management and BIR form records.
Technical challenges
Exact VAT arithmetic, tenant isolation in a shared database, and SPA authentication across separate origins.
Result
Live at app.taxzed.com in closed beta, with real testers entering bookkeeping data.
Read the case study about TaxZed
Word Zoo cover

Mobile game · Android

Word Zoo

Problem
Casual word games tend to be short, repeatable puzzles with little connection between levels.
What we built
An Android word game with 10 themed worlds, 400+ levels, cloud save, quests, ads and in-app purchases.
Technical challenges
Dynamic phrase layout across screen sizes, ad frequency that survives navigation, and safe async game callbacks.
Result
Feature-complete in about two months and in Google Play closed testing with 12+ testers.
Read the case study about Word Zoo
View all work

Professional experience

Client work under NDA, described without names.

  • HVAC — As PHP senior developer, Benz maintained and modernized a large production PHP/Zend platform, then built machine-learning models on AWS SageMaker and an MCP server for AI-assisted reporting.
  • Senior living dining — As software engineer, Jazelle built point-of-sale modules for on-site restaurants: cloud-to-local data sync that cut sync errors by 75%, meal-plan discounts, tax exemptions, kitchen printer routing and automatic gratuity.
  • Ground transportation — As full stack developer, Jazelle built a Flutter driver app and improved a Laravel booking portal, lifting booking completion by 40%.
  • Government — Benz and Jazelle led and built a regional social welfare office's systems for HR, performance governance, finance, recruitment, e-learning and disaster response.
  • Enterprise — As freelancers, Benz and Jazelle delivered an ERP and balanced-scorecard platform with org charts, e-approvals, project management and Gantt charts.
  • Education — Benz and Jazelle built class booking, payroll and company websites for an online tutoring company.

How We Work

AI speeds up our engineering. It doesn't replace it.

Every project follows the same disciplined process. AI accelerates implementation and review; experienced engineers make the decisions and own the result.

  1. Discover

    Structured requirements and a PRD that set scope and success criteria before any code.

  2. Plan

    Architecture, data model and a technical plan, split into reviewable milestones.

  3. Build

    AI-assisted implementation within written guardrails, with tests for every feature.

  4. Review

    Automated and AI code review, then a human engineering review before anything merges.

  5. Deploy

    Automated checks on every change, repeatable deployments, and support after launch.

Have a software problem worth solving?

Tell us what you're trying to build, modernize, or fix.

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