
Forward is building a private credit network around an assumption that runs against a familiar automation pitch: debt advisors should stay in the transaction. The startup wants AI to handle lender discovery and coordination while advisors retain borrower relationships and lenders retain underwriting decisions.
The Fall 2026 Y Combinator company starts with a practical mismatch. An advisor may know many lenders without knowing which ones currently have the appetite and capacity for a particular deal. A fund's published mandate can describe its general interests without revealing what it is ready to finance this month.
Forward's answer is a service that begins with the documents an advisor already has. It qualifies the opportunity, summarizes the financing case, matches it to lenders and coordinates submissions, questions and follow-ups. Responses from those transactions then inform subsequent matching. The company argues that live decisions are more useful than a static directory.
Watch Forward's original launch video.
Forward says lenders pay 25 basis points when an introduced loan funds. Advisors are not charged and keep their own fees. That makes completed transactions, rather than introductions or software seats, the basis of its revenue model. Lenders still decide whether a deal meets their credit standards.
In its launch, the company reports that 100 U.S. funds signed that fee arrangement within three months of the team's arrival in the country. It describes an initial network anchored in Southern California commercial real estate, with a deliberately limited rollout through an advisor partner.
Its early examples require careful reading. Forward says two transactions of $6 million and $10.25 million are progressing toward closing. Those are prospective funded volumes, not completed loans or booked revenue. The distinction is important for a business whose fees arrive only after a financing closes.
The product's intended advantage is not simply finding more lender names. Forward wants to learn from the reasons funds accept or decline particular opportunities, then use that information across multiple advisors' deals. That approach depends on the network seeing enough real transactions to keep its picture current.
It also depends on trust. The company says it checks who controls a deal before doing execution work and seeks exclusive, qualified flow from advisor partners. Those requirements are meant to reduce duplicate submissions and avoid becoming a destination only for transactions that have already exhausted other options.
YC lists Daniel Yoon, Riley Janjis and Darryl Luo as Forward's founders. The launch describes experience spanning credit assessment, fund-side diligence and business-process automation. Its broader team also includes go-to-market lead Fred Harris.
Forward eventually wants to build a private credit fund of its own, using what its routing network learns. That is an ambition rather than the current offering, and it creates an obvious allocation question: would the network serve outside lenders or reserve opportunities for its own capital?
The company says a future fund would follow a published allocation policy and come after the network. In the nearer term, it must demonstrate a simpler outcome: moving qualified transactions from an advisor's inbox to funded loans without taking over the human relationships that brought those deals in.