Companies evaluating SBIR / SIIR / CITD
Teams that have a technology or AI topic but need to check whether it fits the right grant type and review language.
Government Grants
From SBIR, SIIR, and CITD to AI PoC proposal planning, In-Stars turns planning and design capability into grant fit checks, proposal narrative, and evidence for technical and commercial validation.
Book an SBIR / SIIR / CITD fit consultation
Who This Is For
If the topic is already important but the scope, evidence, owner, or budget decision is still unclear, In-Stars can help organize the first practical path.
Teams that have a technology or AI topic but need to check whether it fits the right grant type and review language.
Teams that must connect prototype, field validation, partner roles, budget, and business value before submitting.
Teams that need a practical evidence list before turning an idea into an application narrative.
Consultation Flow
From SBIR, SIIR, and CITD to AI PoC proposal planning, In-Stars turns planning and design capability into grant fit checks, proposal narrative, and evidence for technical and commercial validation.
Compare company type, topic maturity, validation stage, budget, and timing against SBIR, SIIR, CITD, or other program needs.
List data, prototype, partner, field, user, cost, and impact evidence already available or missing.
Turn the technical idea into problem, innovation, validation method, benefit, and implementation milestones.
Clarify which documents In-Stars can help structure and which formal submission responsibilities remain with the applicant.
Decision Prep
Grant work stays human-reviewed. The first step is to clarify missing evidence, responsible contacts, document status, and review feedback before deciding whether to prepare a full application.
Company type, target program, topic, budget range, expected schedule, and internal project owner.
Prototype status, datasets, test site, partner role, user scenario, and measurable success criteria.
Previous grants, rejected topics, reviewer comments, and constraints that should not be repeated.
Outputs
The first output is a decision package: what to do next, what evidence is missing, who should own it, and whether the topic is ready for a proposal, grant, training plan, or PoC.
A shortlist of possible programs and reasons to proceed, pause, or reposition the topic.
A working outline for problem, innovation, validation, milestones, budget logic, and impact.
A concrete list of documents, data, partner confirmations, and validation proof to prepare before writing.
Timeline And Boundaries
Quickly judge whether the topic should continue into proposal planning.
Build the first application logic and evidence list.
Confirm final responsibility, missing documents, and review risks before formal submission.
Consultation Prep
Before the first call, prepare the target grant, company type, project topic, prototype or data status, partner role, budget range, and expected deadline.
Company type, target program, topic, budget range, expected schedule, and internal project owner.
Prototype status, datasets, test site, partner role, user scenario, and measurable success criteria.
Previous grants, rejected topics, reviewer comments, and constraints that should not be repeated.
Share the current business topic and expected outcome. In-Stars will help choose the right next step across AI consulting, grant assessment, industry-academia collaboration, Japan DX (Digital Transformation), or PoC planning.