No platform pitch, no report.
We send people to your office.

FDE stands for Forward Deployed Engineer, a model pioneered by Palantir in the 2010s: dispatching engineers directly to client sites to solve problems end-to-end until the system actually works in production. It is not sales, not traditional consulting, not mere implementation, and not outsourcing—it delivers a fully functioning, proven business operation.

Traditional FDE focuses purely on engineering, typically serves large enterprises with mature data foundations, and requires clients to articulate their own requirements. Starbox FDE builds on technical engineering with 15 years of B2B experience across consulting, marketing, outsourcing, and training, backed by insights from serving over 500 enterprises. We first diagnose the business and map workflows before building AI agents—so if you can't clearly define your requirements, we structure them for you.

Six core initiatives in sequence: enterprise diagnostics and assessment, in-depth requirement discovery, end-to-end SOP optimization, agentifying repetitive tasks, department-level AI enablement, and using proven methodologies to cut trial and error. Stage one typically starts with marketing, then scales across the company department by department on a quarterly basis.

Marketing feels the sharpest pain points, delivers measurable outcomes, has a low barrier to entry, and produces replicable experience—making it the easiest place to show early results. Starbox validates the full cycle within marketing using the DDABC full-funnel marketing model (Define, Discover, Believe, Convert, Continue), then expands to operations, customer service, and functional teams.

Eight enterprise-owned assets: the underlying platform foundation, enterprise knowledge base, process and SOP framework, distilled role capabilities, a dedicated matrix of workplace AI agents, a customized DDABC full-funnel marketing system tailored to your industry, the team's operational AI capabilities, and an industry benchmark solution built through year-long hands-on support.

No. FDE handles orchestration, supervision, and hands-on coaching, but does not step in to do the day-to-day work for your staff. The definition of success is that once Starbox steps back, your internal team continues to work productively with AI without relying on external personnel.

In five steps: an initial consultation to set the direction; developing an implementation plan and deploying the first AI agents in a single department (approx. 15–30 days); a proposal roadshow and internal rollout guidance; real-world trial and alignment for about one month; and finally finalizing an annual framework agreement. A deposit of intent is paid at kickoff and fully credited toward the annual framework fee once signed.

Q1 focuses on overall architecture and initial department implementation, completing the platform foundation, knowledge base, DDABC full-funnel model, role capability distillation, complete SOPs, and the launch of the first AI agents—requiring the most concentrated effort. Q2 and Q3 expand to other departments with continuous optimization. Q4 solidifies adoption across all departments and codifies an industry-level solution and benchmark case studies.

Companies that already recognize the value of AI, want systematic implementation, and require deep customization aligned with their internal workflows. Businesses that only need off-the-shelf products can directly use Starbox GEO, Starbox Content Factory, or Starbox Starbox!.

Engagements are structured as annual frameworks, with two options: Lighthouse Co-creation and Standard. For Lighthouse clients, Starbox covers part of the cost in exchange for participating in public case studies. Standard clients have no obligation to share public case studies. For specific pricing, please book an FDE consulting session for an initial discovery call before receiving a formal proposal.