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Revolution­izing lending with AI

We're building a technology platform at the forefront of modernizing the mortgage lending ecosystem.

  • “Stare & compare” killer

    Proprietary-tuned AI processes with OpenAI GPT

  • Custom chatbot

    Custom-tuned LLM model with Google Gemini

  • Loan origination system

    AI-underpinned

  • Data-based AVM

    (Automated valuation model)

Partner benefits

  • Lower costs
  • Eliminate manual work
  • Reduce bias
  • Increase speed
  • Improve customer satisfaction
  • Enhance accuracies

By the numbers

  • 95%+

    Improvement in manual upfront document review labor

  • $8M+

    Removed in unnecessary costs

  • 100%

    Increase in 5-star reviews mentioning speed YoY

  • 80 NPS

    +2 pts from 78 (exceptional net promoter score)

Model foundations

  • 6+

    years of originations data

  • 168k+

    total documents

  • 1.7M+

    pages

  • 2M+

    attributes

Graphic alt text: A cross-functional "AI Engineering" core of data, application, product and platform engineering teams combined with data scientists enables us to move faster and more efficiently. This AI Engineering core works closely with Product and "Curation" teams of subject matter experts. Together, all are overseen by a four-pronged leadership group comprised of Figure's CTO, Chief Data Officer, Legal/Compliance and Operations.

Our AI team

It's more than AI data scientists who unlock the value of AI in design systems - it's a cross-functional “AI Engineering" team of data scientists, data engineers, and application, product, and platform engineers.

While model training is important, by orienting ourselves cross-functionally around AI we are moving faster and more productively.

AI Eng works closely with Product and “Curation” teams of subject matter experts.

Figure's CTO, Chief Data Officer and Legal/Compliance teams serve as cohesive leadership.

Our AI driven lifecycle

  • 1
    Extract

    AI Eng team extracts 12 areas of data points that were traditionally key to the “stare and compare” process

  • 2
    Evaluate

    AI Eng team evaluates data - including 168K+ total documents, 1.7M+ pages and 2M+ attributes

  • 3
    Provide feedback

    “Curation team” of Customer Service agents and managers provide feedback based on hours of daily interactions with customers and the technology

  • 4
    Fine-tune

    AI Eng team fine-tunes the model in ways that improve accuracy and speed

Our AI principles

At Figure, we're confident in the power of AI to improve how we work and how we positively impact customers, partners and the industry at large. We're applying AI in several aspects of our business today and expect to accelerate its usage for years to come. We'll revisit and update these AI principles as part of our commitment to being ethical, accountable and values-driven.