Kastle Raises $24M Series A to Deploy Voice AI Agents Across Mortgage Servicing
San Francisco-based fintech startup Kastle raised $24 million in Series A funding led by Insight Partners, with participation from Y Combinator, Commerce Ventures, Fifth Wall, and angel investors, as reported by PR Newswire. The capital injection follows rapid enterprise adoption of Kastle's automated voice AI platform across the consumer lending and mortgage servicing sectors.
To scale its operational footprint, the company is building out its technical and operational leadership, opening senior hires like Head of Deployments and Technical Lead, SWE at its San Francisco headquarters.
Automating Regulated Financial Workflows Inside Core Infrastructure
Founded in 2024, Kastle builds specialized AI agents that interface directly with existing core banking infrastructure, allowing institutions to process calls, verify borrowers, and manage collections without overhauling legacy systems. The platform, KastleOS, operates on a Python stack alongside large language models and transformer-based voice architectures.
Rather than relying purely on generative responses, Kastle incorporates Safe Execution Procedures (SEPs) and an embedded Compliance Engine. This controlled execution model allows AI agents to perform complex, multi-step transactions deterministically while meeting strict financial regulation and quality control standards.
In April 2026, Kastle executed a direct integration with Intercontinental Exchange's ICE MSP system, the dominant servicing platform used across major U.S. mortgage lenders, as detailed by National Mortgage Professional. The integration allows Kastle’s voice agent, Avery, to access loan data, update workstations, document borrower interactions, and process payments directly inside the system of record.
Major mortgage enterprises have deployed Kastle’s voice agents at scale. HousingWire reported that Carrington Mortgage Services selected Kastle to run autonomous customer service and collections agents across its contact centers, covering both government and conventional loan portfolios exceeding $200 billion in unpaid principal. Additionally, New American Funding partnered with Kastle to deploy 24/7 self-service voice agents to handle inbound call volumes and reduce borrower hold times, according to HousingWire. To date, Kastle’s platform has processed over $2 billion in financial transactions.
To support complex customer rollouts, Kastle is hiring roles such as Forward Deployed Engineer and Forward Deployed Product Manager.
Leadership with Deep Domain and Systems Engineering Backgrounds
Kastle was co-founded by CEO Rishi Choudhary and CTO Nitish Poddar, who met while studying systems engineering and computer science at the University of Illinois Urbana-Champaign.
Before launching Kastle, Choudhary served as the founding Product Manager for Redfin’s Mortgage Marketplace at age 22, growing the business unit's revenue from $3 million to $6 million in nine months while also leading Redfin's Search Experience team. His experience building mortgage marketplace tools exposed the operational bottlenecks traditional lenders face when handling digital inquiries over legacy systems.
Poddar was previously the youngest tech lead at security hardware company Verkada at age 23. During his tenure at Verkada, Poddar patented a motion search system, engineered backend inference infrastructure, and led development across firmware delivery and incident management product lines.
Team Expansion and Hiring Strategy in San Francisco
Kastle operates as a lean, six-person startup backed by Y Combinator's Summer 2024 cohort. Following its $24 million Series A, the firm is rapidly expanding across software engineering, AI research, go-to-market, and corporate infrastructure.
The company is recruiting for high-level technical talent, including a Staff AI Engineer ($250,000 to $350,000) and an Infrastructure Engineer ($180,000 to $275,000). On the go-to-market side, Kastle is building its recruitment and leadership teams through a Head of Talent ($200,000 to $250,000) and a Founding Growth Lead ($170,000 to $200,000).
Almost all open positions are full-time and onsite at Kastle’s San Francisco office, with compensation ranges reflecting competitive Bay Area rates. The company also maintains a part-time, remote position for an AI Trainer (Part-time) at $30 per hour, alongside an in-person Founder Intern (now and Summer 2026) role paying $8,000 to $8,750 per month.
Open Roles at Kastle
| Role | Location | Work Mode | Salary |
|---|---|---|---|
| Infrastructure Engineer | San Francisco | Onsite | $180,000 – $275,000 / year |
| Technical Lead, SWE | San Francisco | Onsite | Not listed |
| Head of Deployments | San Francisco | Onsite | Not listed |
| Compliance and Legal Counsel | San Francisco | Onsite | Not listed |
| Events and Experiences Lead | San Francisco | Onsite | Not listed |
| Enterprise Account Manager | San Francisco | Onsite | Not listed |
| Head of Talent | San Francisco | Onsite | $200,000 – $250,000 / year |
| GTM Recruiter | San Francisco | Onsite | Not listed |
| Founding Growth Lead | San Francisco | Onsite | $170,000 – $200,000 / year |
| Founder's Office | San Francisco | Onsite | $150,000 – $210,000 / year |
| Head of Sales | San Francisco | Onsite | Not listed |
| Enterprise Account Executive | San Francisco | Onsite | Not listed |
| Forward Deployed Product Manager | San Francisco | Onsite | $150,000 – $220,000 / year |
| Staff AI Engineer | San Francisco | Onsite | $250,000 – $350,000 / year |
| Senior Product Manager | San Francisco | Onsite | $200,000 – $250,000 / year |
| Forward Deployed Engineer | San Francisco | Onsite | $170,000 – $250,000 / year |
| Staff Engineer | San Francisco | Onsite | $250,000 – $320,000 / year |
| AI Trainer (Part-time) | Remote (US) | Remote | $30 / hour |
| Founder Intern (now and Summer 2026) | San Francisco, CA, US | Onsite | $8,000 – $8,750 / month |