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Lightning Forge AI

Custom AI software. Production in days.

Lightning Forge AI is a custom software studio that designs and builds web products, cloud platforms, internal tools, and data systems for growing businesses and enterprises. We integrate AI from the start—not as a label, but as how we design, ship, and iterate. Well-scoped web applications can reach production within days, not weeks.

How fast looks in practice

A well-scoped web application—design, build, test, and production deployment—from first conversation to live.

  1. Day 1 — Scope

    Goals, constraints, and a clear plan you can sign off on

  2. Days 2–3 — Build

    Design, implementation, and automated checks in parallel

  3. Day 4 — Harden

    Performance, accessibility, and production readiness

  4. Day 5 — Live

    MVP deployed, monitored, and ready for iteration

Senior judgment, hands-on delivery

Lightning Forge AI brings twenty-five years of software engineering experience—from work at Smartsheet, Amazon, and Zappos to founding Epitome Consulting. One senior team from first conversation through launch. No handoffs to a bench you never meet.

We serve growing businesses that need professional software fast and enterprises that need global platforms, heavy data systems, and software that holds up under serious load.

Common questions

  • What does Lightning Forge AI do?

    We design and build custom AI-powered software—web applications, internal tools, data systems, and products—for growing businesses and enterprises.

  • How fast can you deliver?

    Some web applications can be running in production within days, not weeks—so leadership can iterate quickly.

  • Do you work with small businesses and enterprises?

    Yes. We work with SMBs that need professional software fast and with enterprises that need global platforms and heavy data systems.

  • How can you deliver so quickly?

    AI-powered building tools, combined with decades of engineering experience, let our team design, ship, and iterate in a fraction of the time traditional teams require.

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