Grantify
Government grant applications involve sensitive business and financial data, making automation difficult to scale securely. RapidDev helped expand Grantify’s Bubble platform, connecting funding, contracts, payments, AI-assisted drafting, expert review, and final delivery in one workflow.
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About
Grantify helps startups and small businesses in the UK and US identify and apply for government grants, tenders, and R&D funding. Its US offering includes support for federal technology funding opportunities such as SBIR grants. The company combines an AI-assisted application platform with funding consultants and experienced reviewers. Clients can assess eligibility, identify relevant opportunities, work through applications as a series of manageable questions, and receive expert feedback before submission.
The Challenge
Every funding body has its own eligibility requirements, questions, application format, and supporting evidence. Preparing applications manually means gathering information from different sources, understanding what each funder expects, and repeatedly adapting the same company and project information to new forms. Grant applications can contain commercially sensitive material, including business plans, financial information, personnel details, supporting documents, recorded discovery calls, research, and application drafts. Some of that information also becomes context for AI-assisted drafting. Grantify therefore needed a workflow that could support more applications without compromising confidentiality, access control, or responsible handling of client data.
Grant applications can contain commercially sensitive material, including business plans, financial information, personnel details, supporting documents, recorded discovery calls, research, and application drafts. Some of that information also becomes context for AI-assisted drafting. Grantify therefore needed a workflow that could support more applications without compromising confidentiality, access control, or responsible handling of client data.
The Solution
One Connected Workflow Around the Client Record
RapidDev contributed to Grantify’s existing Bubble application through an ad hoc development model.
The work supported a connected workflow where information collected from a client can remain useful throughout the engagement, from initial assessment and funding matching to application drafting and review.
01. Client Assessment and Onboarding
Grantify’s journey begins with a self-assessment that helps businesses understand their potential eligibility.
During onboarding, the platform collects information about the organization, industry, funding objectives, and proposed project. Uploaded documents and recorded discovery calls provide additional context for later stages.
02. Funding Opportunity Matching
Match Reports compare each organization’s profile, industry, and funding goals with relevant grants and funding opportunities.
This helps Grantify and the client decide where to focus before committing time to a full application.
03. Contracts and Payments
Contracts can be signed within the application, while Stripe supports payments in GBP and USD, including staged payments and direct debit.
Keeping commercial activity connected to the client record gives the team better visibility into each engagement.
04. AI-Assisted Application Drafting
Each funder’s application is recreated inside the platform.
AI-assisted drafting can use onboarding responses, uploaded documents, recorded discovery calls, and external research to prepare answers for a specific application.
Instead of rebuilding the same company context for every opportunity, relevant information can be reused and applied to the requirements of each funder.
05. Expert Review and Delivery
AI proofreading provides an initial content check before an application reaches Grantify’s reviewers.
The team can edit drafts, provide feedback, manage deadline extensions, and prepare applications for final delivery.
AI supports the process rather than replacing expert judgment. Clients remain responsible for reviewing and approving generated content, while final funding decisions remain with the relevant funding body.
Security and Data Protection
Protecting Sensitive Business Data Throughout the Application Process
Security is particularly important for Grantify because the platform handles financial information, business plans, personnel details, uploaded documents, recorded conversations, and application content.
Grantify’s published security framework includes several controls designed to protect that information throughout the workflow.
Role-Based Access
Access is limited according to user roles and responsibilities, following least-privilege principles.
Encryption at Rest and in Transit
Client information is protected while stored and while moving between systems.
Client Data Separation
Client information is logically separated to help prevent unauthorized access between accounts.
Controlled Production Access
Production access is restricted and logged, with development, staging, and production environments kept separate.
Secure Backups and Credentials
Encrypted backups and secret management help protect stored information and system credentials.
Safeguards Around AI Use
Grantify states that its AI models are not trained on client data.
When third-party AI providers are used, information is transmitted through encrypted, authenticated connections. Grantify states that providers are not permitted to retain that information beyond what is required to provide the service or use it to train their own models.
This is especially important when AI-generated answers can draw from confidential company plans, financial information, personnel details, and supporting documents.
Role-Based Access | Encrypted Data | Client Data Separation | No AI Training on Client Data
What Makes Grantify Different
Funding Strategy, AI Assistance, Expert Review, and Data Control in One Platform
Grantify is not simply an AI writing tool.
The platform connects several parts of the grant process that would otherwise happen across separate systems.
Find the Right Opportunity First
Match Reports help identify relevant funding opportunities before significant time is invested in preparing an application.
Reuse Client Context Across Applications
Information already collected through onboarding, documents, and discovery calls can support application drafting instead of being gathered again for every submission.
Keep Experts in the Process
AI helps prepare and proofread content, while Grantify’s specialists remain involved in review, feedback, and final delivery.
Keep Sensitive Data Under Defined Controls
Grantify’s security framework covers access, encryption, data separation, environment separation, logging, backups, credentials, and the use of third-party AI services.
Eligibility & Onboarding → Funding Match → Contract & Payment → Protected Client Record → AI-Assisted Drafting → Expert Review → Final Delivery
The Result
A More Controlled Way to Scale Grant Support
RapidDev supported the continued development of a platform that connects Grantify’s operational, commercial, and application workflows.
Information collected during onboarding can contribute to funding matches and application drafting instead of being repeatedly gathered and rewritten.
Contracts, payments, deadlines, drafts, reviews, and client support can be coordinated around the same engagement, giving the team better visibility from initial assessment through final delivery.
The platform also provides a structured environment for data-sensitive AI workflows. Grantify’s published controls address access, encryption, client-data separation, credentials, monitoring, backups, environment separation, and third-party AI use.
For Grantify, this creates a delivery model where technology can handle more of the repetitive application work while funding strategy, review, and client support remain with its specialists.
Business Impact
The platform gives Grantify a connected foundation for:
Reusing client information across multiple stages of the application process
Matching businesses with relevant funding opportunities before full application work begins
Using AI to support drafting while keeping expert review in the workflow
Managing contracts, payments, deadlines, and application delivery around one client record
Handling confidential business information within a defined security and data-protection framework
Applying safeguards to how sensitive client information is used by third-party AI services
Takeaway
Grantify shows how AI can support a complex, data-heavy professional service without removing human oversight or treating security as an afterthought.
The platform brings funding discovery, application production, expert review, commercial workflows, and data controls into one connected system, giving Grantify a stronger foundation for scaling its service while maintaining control over sensitive client information.
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