Celligence has secured a $100 million investment from Mortgage Treasury to expand AngelAi, its artificial intelligence platform for mortgage decisioning, origination, and servicing.
The financing will support further development of AngelAi’s technology, growth in the United States and international markets, and an effort to bring the platform to millions more consumers and financial-services professionals.
Unlike generative AI tools primarily designed to answer questions or produce content, AngelAi is built to execute financial transactions. In mortgage lending, the platform can guide a borrower through application, document validation, processing, underwriting, and servicing.
Celligence said AngelAi has more than 415,000 registered users. The company says the platform has processed approximately $40 billion in mortgage transactions and helped more than 200,000 families.
“Our vision is to change how people interact with financial institutions through intelligent and empathetic AI,” said Pavan Agarwal, founder and CEO of Celligence and AngelAi and CEO of Sun West Mortgage Company. “This investment will amplify cross-selling and network effects to make AngelAi the dominant consumer finance and mortgage app.”
Targeting Mortgage Manufacturing Costs
The investment puts fresh capital behind one of AngelAi’s most consequential propositions for mortgage lenders: using automation to sharply reduce the cost of manufacturing a loan.
Celligence claims the cost of manufacturing a loan with AngelAi is less than $125, excluding sales, marketing, and third-party expenses. The company compares that with approximately $5,000 for similar internal manufacturing functions at the average lender.
The comparison is narrower than the Mortgage Bankers Association’s all-in industry measure. MBA reported that total loan-production expenses averaged $11,898 per loan during the first quarter of 2026, a calculation that incorporates commissions, compensation, occupancy, equipment, and other production costs.
Still, AngelAi’s claimed reduction in fulfillment expenses points to the larger business case behind mortgage automation. For lenders, the value would not come simply from answering borrower questions faster. It would come from increasing production without adding processors, underwriters, and other support staff at the same rate.
For originators, that could shift more of the job toward borrower guidance, relationship building, and business development while the technology handles repetitive operational work.
AngelAi’s ability to deliver those savings consistently across lenders, channels, and loan types will determine how disruptive the model becomes as it scales.
Debt Designed To Convert Into Equity
The $100 million investment is initially structured as debt. Celligence said the parties have agreed that the instrument will eventually convert into $400 million of equity at a $120 billion enterprise valuation once the necessary legal structure is completed.
The valuation closely tracks a previous assessment of AngelAi’s intellectual-property portfolio. Liquidax Capital valued the portfolio at between $63 billion under its base-case analysis and $119 billion using a comparable-market approach, according to an October 2025 announcement.
Celligence said its portfolio now includes more than 140 issued and pending patents covering mortgage automation and other financial applications. The company has described its Transactional Language Model, or TLM, as a deterministic and explainable alternative to generative models that can produce inconsistent answers.
AngelAi also offers what it calls “Warranted Intelligence,” through which the company stands behind certain financial decisions made by the platform.
Japanese Capital Looks To Mortgage AI
Mortgage Treasury is a Hawaii-based company established in 2024 and led by former Hawaii Gov. John D. Waiheʻe III. Its strategy involves acquiring and holding U.S. residential mortgages originated by Sun West through AngelAi.
The company said it works with investors in Japan seeking long-term, dollar-denominated income from U.S. mortgage assets. Mortgage Treasury’s public history says its holdings reached $30 million in May.
“In a dynamic financial landscape, efficiency, accuracy, and trust are paramount,” Waiheʻe said. “AngelAi delivers on all three fronts by removing traditional obstacles in loan originations and secondary-market transactions.”
The investment builds on an existing capital relationship. In 2025, Sun West Investment Trust announced plans to invest an initial $1 billion in mortgages produced using AngelAi, with a longer-term target of $10 billion. The trust said at the time that it had completed its first bulk mortgage acquisition.
Mortgage Treasury board member Tomoyuki Nakano said the group’s experience investing in AngelAi-produced mortgage assets contributed to its decision to invest directly in the technology.
“Our study into the current state of lending concluded that the only way to source pristine credit assets for our investors is that those assets are manufactured by AngelAi’s Transactional Language Model,” Nakano said.
From Mortgage Tool To Operating Infrastructure
The investment comes as AngelAi moves beyond individual mortgage tasks and positions its technology as a broader operating platform.
In August, an NMP OriginatorTech Deep Dive demonstrated how AngelAi agents could research prospects, maintain notes, calculate loan scenarios, manage communications, and perform other work assigned by originators.
AngelAi subsequently launched its Sena agent, which the company says can evaluate investor guidelines and lender overlays, identify uncertainty, and route cases requiring additional judgment to a human consultant.
Celligence plans to use the new capital to expand those capabilities, strengthen its predictive analytics and technology infrastructure, and enter additional markets in North and South America, the Middle East, and the Asia-Pacific region. The company’s long-term target is 100 million active users.
The size of the investment gives AngelAi substantially more room to pursue that ambition. The more important test for lenders will be whether its automation can reproduce Sun West’s claimed cost savings across the broader mortgage market.
