fundae is a patent-pending AI agent orchestration framework designed for contract-to-cash processes in B2B organizations, with a particular emphasis on life science, med tech, and biotech enterprises. Our core offering revolves around “digital twins,” meaning specialized AI agents that replicate crucial domain expertise—such as pricing, contract performance, financial reconciliation, and regulatory compliance—without requiring major overhauls of existing systems.
Business Model
- Subscription-Based: fundae operates on a monthly or annual subscription model. We also provide professional services for initial setup and ongoing support to ensure swift customer onboarding—achieved in approximately 12 weeks rather than the industry standard of 18+ months.
- Rapid On-Premise or Cloud Deployment: Customers can deploy fundae via AWS, Azure, or within their own data centers, preserving any preexisting infrastructure.
- Scale and Growth: Our monthly recurring fees increase as organizations add more digital twins, correlating with expanded coverage across different processes (e.g., finance, compliance, and advanced contracting).
Customer Traction
- We have secured a first paying client, Gilead, who uses fundae for targeted revenue-related workflows.
- We are actively engaging with Johnson & Johnson and AbbVie for similar implementations and expect to finalize multiple new customer agreements within the next 12 months.
Products and Patent
- Patent Pending: fundae has filed a provisional patent (No. 63/770,846) covering our AI agent orchestration method, likened to a “PageRank for AI” within enterprise environments.
- Digital Twins: Our orchestrator routes business requests to the relevant AI agent, which uses domain-specific rules and user feedback to adapt over time—reducing guesswork and enabling consistent outcomes.
- Adaptive Learning: Fundae’s solution relies on a blend of reinforcement learning (for low-risk updates) and supervised training (for major changes), ensuring that day-to-day improvements happen quickly while mission-critical updates receive thorough expert review.
Team and Credentials
- Solo Founder, Viren Shah: Over 25 years of experience in life science market access and financial operations, having advised more than 150 companies in contract and revenue processes. Viren has invested roughly $2.5 million of his own capital into fundae.
- Technical Expertise: We maintain a 16-person team—10 onsite and 6 offshore—covering AI research, product development, domain consulting, and customer success roles.
- Why Single Ownership: Because the specialized knowledge required for B2B revenue processes is not easily replicated, fundae’s equity remains concentrated with the founder while providing RSU and preferred stock options for key team members.
Competitive Edge
- Zero Replatforming: fundae connects with existing tools (ERP, CRM, data lakes) rather than forcing a full rebuild.
- 12-Week Timelines: Competitors often demand 18+ months to implement comparable AI solutions.
- Patent-Pending Differentiation: Our orchestration algorithm provides an essential layer of intelligence that merges domain rules with flexible AI modules, thwarting copycat entrants.
- Flexible Use: We can be deployed quickly in cloud or on-premise environments, maintaining data confidentiality behind each company’s own firewall.
Funding Status
- We are currently raising $3 million in convertible notes (at Prime + 1.5% simple interest), aiming to further strengthen sales, customer success, and R&D. This infusion of capital will enable us to scale to 8–12 new customers by the close of 2025.
- fundae qualifies for matching support from the New Jersey Economic Development Authority (NJEDA), potentially providing up to $500,000 in additional non-dilutive funding.
Our overarching goal is to become the must-have orchestration layer for enterprise AI in B2B contract-to-cash operations. By ensuring a faster path to real-world benefits while maintaining each customer’s existing setups, fundae addresses a gap in the market: domain-specific intelligence that reliably adapts to user demands, fosters technology adoption within weeks rather than years, and protects organizations’ prior technology investments.
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