AutoGrant

AutoGrant for startups and R&D companies

Pursue non-dilutive funding that advances the company—not grant-shaped work that distracts it.

AutoGrant helps startups and R&D companies evaluate topic and agency fit, organize technical and commercialization evidence, convert solicitations into complete requirements, coordinate founders and experts, and build a governed application workflow.

AI Judge — SBIR/STTRSix scored dimensions
  • Eligibility
  • Topic fit
  • Technical merit and readiness
  • Team and facilities
  • Commercialization
  • Strategic value
AI Judge supports a defensible go, conditional-go, or no-go decision — with reasoning, risks, and conditions. It does not guarantee an award.
  • Founder go/no-go recorded

    The founder or leadership decision is captured before drafting begins.

  • Claims mapped to evidence

    Every claim maps to verified evidence and a named owner.

  • Human-authorized submission

    Nothing is submitted without explicit human authorization.

  • Resubmission history preserved

    Reviewer feedback feeds the resubmission or next-phase plan.

The startup challenge

A topic can contain the right keywords and still be wrong for the company.

Common failure modes include:

  • Forcing the technology into a topic it does not truly address
  • Underestimating technical or commercialization evidence
  • Treating the application as a generic pitch deck
  • Failing to resolve principal-investigator, employment, ownership, or partnership requirements
  • Building a project that does not advance the product roadmap
  • Missing registrations, forms, letters, or internal deadlines
  • Overcommitting technical milestones or market claims
  • Losing reviewer feedback and resubmission history

The goal is not to chase every non-dilutive dollar. It is to find funding that strengthens the company and can be executed credibly.

Company and technology profile

Approved context may include:

Distinguish verified results from hypotheses, projections, and planned work.

Company context stays governed.

  • Company, ownership, and eligibility attributes
  • Technical problem and innovation
  • Current technology readiness
  • Intellectual-property position
  • Founders and technical team
  • Prior research and evidence
  • Development roadmap
  • Target users and market
  • Customer discovery
  • Competitive alternatives
  • Commercialization strategy
  • Facilities and partners
  • Prior applications, reviews, and awards
  • Funding strategy and runway constraints

AI Judge for SBIR/STTR and R&D

Eligibility

Company size and ownership, principal-investigator status, work location, subcontracting, research-institution relationship, registrations, agency, and phase requirements.

Topic fit

Does the proposed technology directly address the topic and expected use—not merely adjacent terminology?

Technical merit and readiness

Is the innovation credible, differentiated, supported by evidence, and appropriate for the proposed phase and period?

Team and facilities

Can the company and partners perform the work, manage the award, and provide the required expertise and resources?

Commercialization

Is there a credible problem, customer, adoption path, market, competitive position, intellectual-property strategy, and path beyond the grant?

Strategic value

Will the project advance the technical and commercial roadmap, create valuable evidence, strengthen an agency relationship, or divert the team from the business?

Workflow

From concept to authorized submission

  1. Define the technical concept and company strategy.
  2. Organize relevant topics, agencies, and non-dilutive mechanisms.
  3. Score eligibility, topic fit, technical readiness, team, commercialization, competition, and strategic value.
  4. Record the founder or leadership go/no-go decision.
  5. Extract every technical, business, budget, registration, attachment, and portal requirement.
  6. Map claims to evidence and owners.
  7. Draft the technical and commercialization narratives from verified sources.
  8. Review science, engineering, business, budget, IP, and compliance.
  9. Require authorized final submission.
  10. Preserve feedback and build a resubmission or next-phase plan.

Guardrails

What AutoGrant should not do

AI handles the volume. People own the judgment.

  • Invent technical results
  • Exaggerate technology readiness
  • Fabricate citations, customers, letters, or market evidence
  • Make legal representations about ownership or eligibility
  • Replace technical or commercialization judgment
  • Treat every topic match as a pursuit
  • Submit without explicit human authorization

Ways to get AutoGrant

Platform or Enterprise

AutoGrant Platform

Platform may fit a startup or R&D company that wants a guided hosted workflow and can use standard controls.

AutoGrant Enterprise

Enterprise may fit a larger R&D organization, portfolio company group, research network, regulated environment, or company requiring customer-controlled deployment, integration, or stronger governance.

Proof to show

Artifacts your team can inspect at every step

  • Topic-fit scorecard
  • Technical evidence map
  • Commercialization evidence map
  • Solicitation requirements matrix
  • Technical and business review gates
  • Resubmission history

Startups and SBIR/STTR

FAQ

AutoGrant is a grant operating system. It can support opportunity evaluation, requirements, drafting, coordination, and review. Founders and technical leaders remain responsible for the innovation, evidence, methods, market, and commitments.

Score the topic before your team reshapes the roadmap around it.

See eligibility, topic fit, technical readiness, commercialization, team capacity, competition, and strategic value.