Quiet Forge Technologies
Focus Diagrams Leadership Contact
Agentic AI • Mortgage Automation • Multimodal I/O
Voice ↔ Text
Call Center Agents
Heterogeneous Data
Compliance-Aware

Autonomous, multimodal automation for mortgage operations.

Quiet Forge builds agentic AI systems that orchestrate workflows across voice, text, documents, and loan platforms—reducing manual touches while improving borrower experience and operational throughput.

Request a Pilot → View Architecture ↘
$ run agentic_mortgage_automation
> ingest: voice, text, docs, loan-data
> plan: multi-step workflow + policy constraints
> act: tools + systems + human-approval gates
✓ outcome: faster cycle time, fewer touchpoints, better borrower experience
Signal Flow Voice → Text → Agent → Actions → Response
Borrower Voice ASR / Transcription Agentic Core TTS / Response Systems & Tasks LOS • Servicing • Docs Multimodal pipeline: voice → text → agent decisions → actions → natural responses.
Core Focus Areas
Mortgage operations require automation that can interpret signals, maintain context, and safely execute multi-step tasks across systems. We build agents designed for real workflows—voice-first, compliance-aware, and integration-ready.

🔊 Multimodal Interactions

Heterogeneous I/O across speech, text, documents, and structured data.

  • Voice → Text (ASR) and Text → Voice (TTS)
  • Voice → Voice automation for call center workflows
  • Multi-turn context for long-running borrower conversations

🤖 Agentic Orchestration

Goal-driven agents that plan, execute, and escalate as needed.

  • Task decomposition and tool-use across mortgage systems
  • Human-in-the-loop escalation and approvals
  • Audit-friendly traces for safety and compliance

🏦 Mortgage Call Center Automation

Reduce repetitive work and accelerate borrower support.

  • Borrower intake, routing, and follow-ups
  • Status checks, doc requests, next-step guidance
  • Servicing and post-close support workflows

🔁 Data + System Integration

Connect calls, systems, and documents into a coherent workflow plane.

  • LOS + servicing systems + CRM + document stores
  • Structured + unstructured pipelines
  • Operational analytics and continuous improvement
Agentic Workflow Diagram
A simple view of how we execute automation safely: interpret → reason → act → verify → respond, with oversight and auditability.
Workflow Execution Loop Human oversight + audit trails
Interpret ASR • parsing • intent Reason context • policy • plan Act tools • systems • actions Verify checks • compliance • QA Respond TTS • chat • next steps Human-in-the-loop approvals • audit trails • escalation paths Execution loop: interpret → reason → act → verify → respond
Leadership
Two complementary leaders: product + operational execution, and deep technical research leadership.

Pete Walker, Ph.D.

Chief Product Officer & Co-Founder

  • Product and technology leader with deep experience in AI and agent-based systems
  • Background transitioning advanced AI capabilities into real-world operations
  • Focus on scalable, secure, and responsible AI deployment in regulated industries

Mihir Mongia, Ph.D.

Founder & Chief Executive Officer

  • Ph.D. in Computer Science, Carnegie Mellon University
  • Former Stanford postdoctoral researcher
  • Expert in machine learning, quantitative methods, and advanced algorithms
  • mihirmongia.github.io
Contact
Interested in pilots, partnerships, or integrating agentic automation into your mortgage workflows?
Email Us contact@quietforge.ai GitHub →