Scroll through our planned development timeline from inception to projected funding needs.
Putting together a project timeline and overview for our AI-driven regulatory solutions.
Basic functioning shell for regulatory remediation agent and report generator
Continue developing the MVP to establish additional functionalities and value proposition. Share with Neil and Rusiru.
Share initial MVP webapp with internal team for feedback and iteration.
Work through any initial feedback from internal team to bring the webapp to an point where we can share with a slightly larer group in the space.
Collect and implement initial feedback from core team members
Limited release to gather initial market reactions and user experience feedback from trusted friends and colleagues.
Share with broader community for initial reactions and feedback
Incorporating feedback and finalizing all core features of our minimum viable product.
Implement final touches on MVP based on community feedback
Develop detailed business plan incorporating market feedback
Prepare materials for reaching out to potential customers following week.
Transitioning to full-time focus on the startup while maintaining financial stability.
Receive severence compensation while ramping up startup activities
Intensive focus on reaching out to potential customers to validate product-market fit and understand pain points.
Conduct interviews with potential customers to gather detailed feedback on MVP
Declare search at current position, initiating transition process
Begin preliminary conversations with select investors while focusing on customer discovery
Armed with customer feedback and an improved MVP, begin focused investor outreach efforts.
Solidify business plan with projections based on customer feedback data
Implement high-priority improvements based on customer insights
Conduct targeted investor meetings with evidence-based pitches
Final month of self-funding with focus on securing investment and continued product development.
Focused effort to secure funding commitments before runway ends
Continue customer-driven iterations including architecture decisions (API vs built-in model)
Evaluate progress and determine whether to extend runway or pursue employment
End of self-funded runway; decision point for next phase based on progress and funding status.
If funding secured or clear path to revenue exists, continue full-time development
If no immediate funding prospects, find employment by mid-June while maintaining part-time development
Accessing emergency savings would be required if extending beyond this point without funding
Role: Founder, CEO
Responsibilities: Product development, strategy, and engieering of AI tech stack. Fundraising and customer outreach
Background: Technical PhD and two years of experience in regulatory relations and remediation for banks
Role: Co-founder/Advisor (TBD)
Responsibilities: Help test and plan products, and potentially help with operations and/or fundraising down the road (TBD)
Background: Wealth management, insurance, advisory. Experience in the UK sector
Role: Co-founder/Advisor (TBD)
Responsibilities: Facilitate access to risk leaders in midsize banks and credit unions. Eventually help with fundraising (TBD)
Background: Deep experience in financial sector, including payments and fintechs
Our Regulatory Reporter provides a comprehensive and personalized view of the ever-evolving regulatory landscape, tailored precisely to each institution's specific regulatory profile by continuously aggregating and synthesizing up-to-date regulatory changes from relevant federal and state-level sources.
Functional prototype capable of generating personalized reports based on instituion name.
The Regulatory Remediation Agent is a multi-capability AI consultant engineered to integrate diverse AI capabilities, including detailed document analysis, gap assessment, remediation action planning, and drafting of regulatory feedback responses. Our goal is to empower risk teams so they can focus on decision-making.
Initial functional shell demonstrating core document assessment and action planning features.
Financial institutions in the United States spend over $270 billion annually addressing regulatory compliance and risk management, with midsize banks and credit unions disproportionately impacted due to fewer resources and disproportionately higher compliance burdens. While larger banks invest tens or hundreds of millions annually on external consultants, midsize institutions face even higher relative costs.
Our targeted AI solutions specifically empower these midsize banks and credit unions, reducing compliance costs significantly while enhancing their ability to adapt proactively to regulatory changes. By leveraging AI-driven automation, institutions transform compliance from a burdensome obligation into a competitive advantage, resilient to shifting political and regulatory landscapes.
We are seeking a strategic seed investment of $500K–$1M to establish a robust 12–18 month operational runway. This funding will support focused product development, initial market entry, customer acquisition strategies, and key talent recruitment necessary for sustained growth.