Agentic-AI & LLM engineering
Who will adopt it—and who will fund it
FPBS built six agentic AI applications to answer the questions every inventor faces when commercializing technology—who will adopt it, and who will fund it—across industry, government, and venture capital / private equity. After research agents finish their canvassing, an expert agent selects the top organizations to pursue and writes a full report with sources so the reader can judge the work.
Most post-aerospace consulting engagements here have focused on helping people develop and commercialize technology. Clients usually need to know who would adopt the offering and who might fund its development. These apps were built for that work—and run on modern LLM engineering, including multi-agent research, MCP tools, and report generation.
App 1 — Industry adoption assessment
Spawns 24 agents that canvass 24 industries to determine who would adopt a technology and why, then estimates how much each company may purchase per year. Twenty-four industries is deliberate: technology is not always adopted by the industry it was aimed at.
App 2 — Industry funding source assessment
Assesses who across those same industries could fund development through contracts, grants, or teaming arrangements, and estimates each company’s probability of providing funding.
App 3 — Government adoption assessment
Spawns 12 agents that canvass government organizations to determine who may adopt a technology—mission fit, program interest, and why a given agency or unit would engage.
App 4 — Government funding source assessment
Spawns 12 agents that assess government funding sources that could support development through contracts, grants, and related vehicles, and estimates how likely each source is to fund work of this type.
App 5 — Venture capital / private equity interest assessment
Spawns 8 agents that canvass venture capital and private equity audiences to determine who may have interest in a technology—thesis fit, stage and sector alignment, and why a given firm would engage.
App 6 — Venture capital / private equity funding source assessment
Spawns 8 agents that assess venture capital and private equity funding sources that could capitalize development or scale, and estimates the likelihood that a given source would fund.
Case study — CVD graphene
All six apps were run against a new material FPBS is helping develop: chemical vapor deposition graphene, manufactured as a one-atom-thick sheet a meter wide on a continuous roll, with over 25 times the tensile strength of steel at far lower density, plus strong electrical and thermal properties.
The industry reports below were produced with a frontier LLM (OpenAI GPT 5.4). That model made the best use of the research tools provided, produced a professional 300+ page document in about 90 minutes, and accomplished research that would have taken months by hand. Companion reports come from the government and venture capital / private equity apps. The reports are unedited apart from cover branding. Due diligence is warranted before acting on them.
Industry
Industry adoption report
Frontier-model output from the 24-industry adoption app: who may buy, why, and estimated annual purchase.
Investment source report
Frontier-model output from the industry funding app: who may support development through contracts, grants, or teaming, and with what likelihood.
Government organizations
Output from Apps 3 and 4: government organizations that may adopt the material, and funding sources that could support development.
Government organization interest assessment
Assesses government organizations that may adopt or otherwise engage CVD graphene—mission fit, program interest, and why a given agency or unit would care.
Government funding source assessment
Assesses government funding sources that could support development—contracts, grants, and related vehicles—and how likely each source is to fund work of this type.
Venture capital and private equity
Output from Apps 5 and 6: venture capital and private equity interest in the offering, and which funds or vehicles might provide capital.
VC / private equity interest assessment
Assesses venture capital and private equity interest in CVD graphene—thesis fit, stage and sector alignment, and why a given firm may engage.
VC / private equity funding source assessment
Assesses venture capital and private equity funding sources that could capitalize development or scale, and the likelihood that a given source would fund.
Discuss an inventor or portfolio problem
If you are commercializing a technology and need adoption or funding intelligence, FPBS can apply these agentic workflows to your case.
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