Fruitful Network Development
About
Origin, values, and the people behind the mission.
§ Origin Story
Founded by Dylan Montgomery (Computer Engineering + Applied Mathematics, University of Akron).
Built, tested, and refined the core idea over multiple years from hypothesis to working framework, guided by market research and customer discovery with agricultural stakeholders.
Placed 3rd in the University of Akron regional I-Corps pitch competition; subsequently formed Fruitful Network Development and began coordinating with a Northeast Ohio farm network to prototype early-adopter workflows.
Worked alongside Ohio State Extension's Northeast Ohio Agricultural Innovation Office; engaged with local farmer organizations; produced letters of impact for partner farms and community organizations (e.g., Cuyahoga Valley Countryside Conservancy).
Fruitful Network Development (FND) is a computer engineering contract firm providing server, web, and data framework services for farms and community organizations.
Company direction: use a shared, open data framework so producers can manage operations and publish supply (current/expected) without losing autonomy or control.
Further Reading: Cuyahoga Valley Countryside Initiative
§ The Mission
FND's mission is to enable local producers to digitally offer current and expected supply using the same data they manage operations with (reduce duplicate entry and coordination friction).
Goal: build shared data infrastructure that mimics the efficiency of top-down industrial systems while preserving local autonomy and control.
Phase direction: Phase I feasibility + pilots; Phase II operational coordination (including cold-chain logistics and brokerage workflows) if feasibility criteria are met.
Further Reading: Interoperability in Socio-Technical Networks
§ Values & Principles
FND’s work is guided by a small set of constraints: improve local food coordination without forcing farmers or communities into dependency, lock‑in, or brittle centralized control.
Equity targets (what “better” must mean)
- Income stability is a first‑class metric: small farms cannot plan production without credible sell‑through. We treat volatility (not just yield) as the operational bottleneck.
- Two‑sided feasibility: a viable local model must be good for farms (net improvement) and not worse for buyers (cost‑neutral or better at required service levels).
- Waste and distance are costs, not “externalities”: coordination should reduce preventable spoilage and unnecessary transport overhead where local supply is already geographically adjacent.
- Local economies should retain value: the goal is not boutique local food—it's dependable local provisioning where value stays local without sacrificing reliability.
Coordination over extraction
- The bottleneck is coordination: demand, product, and producers exist; failures occur in discovery, timing, logistics, and procurement workflows.
- Many‑to‑many, not single gatekeepers: regional resilience improves when multiple producers, hubs, and buyers can interoperate without a single company becoming the permanent choke‑point.
- Standards before scale: interoperability and clean interfaces matter more than building a monolithic “platform” early.
Autonomy, governance, and trust
- Autonomy‑first participation: operators keep control of data and workflows; network participation is opt‑in and policy‑scoped.
- Transparent accountability: where governance is required (e.g., fiscal sponsorship), the system must reflect real authority: donors express intent, but the sponsor retains final control under published policies.
- Local control over infrastructure: devices and software report to systems controlled by the client—not vendor-first data silos.
Interoperability and low lock‑in
- Schema‑first, export‑ready data: data should remain portable across tools, processors, and vendors; “leave” must remain possible without a rebuild.
- Replaceable components: payment processors, POS devices, and integrations should be swappable behind stable interfaces.
- Open‑source where it matters: core interoperability and user-control are protected by open code and open formats, not by proprietary contracts.
Research discipline (SBIR-aligned)
- Falsifiable Phase I claims: we prefer measurable hypotheses, explicit pass/fail conditions, and bounded models over expansive narratives.
- Capacity bands, not agronomic perfection: Phase I feasibility uses farmer‑reported current output plus capacity constraints derived from acreage and validated planning assumptions—without claiming full yield optimization.
- Feasibility before rollout: we only expand to Phase II operational coordination if Phase I evidence supports a transitional path to net positive outcomes.
Pragmatic delivery
- Deliver value today: practical web hosting, domains, email domains, payments, and field-ready tooling fund the work and create real user feedback loops.
- Reliability under real constraints: designs assume limited staffing, intermittent connectivity, and low operational overhead.
PERSONNEL
Dylan Montgomery
"Tend to the part of the garden you can touch," - Jack Kornfield

Partners & Collaborators
- Founder-led (solo) with a growing network of Northeast Ohio farms, food hubs, and community organizations participating in discovery and pilots.
- Collaboration touchpoints include Ohio State Extension’s Northeast Ohio Agricultural Innovation Office and regional community partners (e.g., conservation and local-food organizations).