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TrueAccord

TrueAccord

ML-powered digital-first debt collection

PrivateGrowthPredictive MLAmericas
Founded2013
Headquarters🇺🇸 San Francisco
Employees201-500
Total Raised$75M
Last FundedJun 2022

About

TrueAccord pioneered digital-first debt collection using machine learning to determine optimal communication timing, channel, and tone for each consumer. Founded by a former Klarna executive who experienced traditional collections firsthand. The company's patented Heartbeat ML engine analyzes millions of interactions to personalize outreach. Clients include fintech companies and banks; raised $75M+ in funding. Reports significantly higher recovery rates than traditional call-center approaches.

Key Facts

  1. [1]Founded: Founded in 2013 in San Francisco, United States.
  2. [2]Funding: Total funding: $75M. Last round: Jun 2022. Stage: Growth.
  3. [3]Employees: Employee count: 201-500.
  4. [4]Website: Official website: trueaccord.com.
  5. [5]AI Technology: Core AI/ML technologies: Predictive ML.
  6. [6]Region: Region: Americas (United States).

Founders

O

Ohad Samet

Co-founder & CEO

N

Nadav Samet

Co-founder & CTO

AI Technology

Predictive ML

Traditional ML algorithms for classification, regression, and scoring models

Classification

Market Segments

Tech Stack Layers

Details

Last FundingJun 2022
Funding RoundSeries B
Age13 years
Country🇺🇸 United States

Frequently Asked Questions

What is TrueAccord?

TrueAccord pioneered digital-first debt collection using machine learning to determine optimal communication timing, channel, and tone for each consumer. Founded by a former Klarna executive who experienced traditional collections firsthand. The company's patented Heartbeat ML engine analyzes millions of interactions to personalize outreach. Clients include fintech companies and banks; raised $75M+ in funding. Reports significantly higher recovery rates than traditional call-center approaches. TrueAccord is classified in the Lending & Credit segment at the Automation layer of the financial AI stack.

Who founded TrueAccord?

TrueAccord was founded by Ohad Samet (Co-founder & CEO) and Nadav Samet (Co-founder & CTO) in 2013 in San Francisco, United States. The company has been operating for 13 years.

How much funding has TrueAccord raised?

TrueAccord has raised $75M in total funding, placing the company at the Growth stage. The most recent round closed in Jun 2022. Among 81 funded Lending & Credit companies, TrueAccord ranks #55 by total capital raised. (Source: AIFI Map directory.)

What AI technology does TrueAccord use?

TrueAccord primarily leverages Predictive ML technology. Traditional ML algorithms for classification, regression, and scoring models. Within the Lending & Credit segment, 58 companies use this technology.

What market segment does TrueAccord operate in?

TrueAccord operates in the Lending & Credit market segment. AI lending and credit companies are reimagining how creditworthiness is assessed, loans are originated, and debt is managed across consumer, small business, and commercial markets.

Where is TrueAccord headquartered?

TrueAccord is headquartered in San Francisco, United States. The company operates in the Americas region. The team consists of 201-500 employees. United States is home to 324 financial AI companies tracked by AIFI Map.

Who are TrueAccord's competitors?

Companies similar to TrueAccord in the Lending & Credit space include Greenlite ($20M raised), Upstart ($160M raised), Zest AI ($357M raised), Pagaya ($75M raised), Scienaptic AI ($17M raised). These companies operate in related areas of financial AI: Greenlite focuses on ai agents that accelerate aml reviews. Upstart focuses on ai lending platform using alternative data for credit decisions. Zest AI focuses on ai-automated underwriting for credit unions and banks. (Based on AIFI Map classification data.)

What products does TrueAccord offer?

TrueAccord builds automation-layer solutions for the financial services industry. The company's core offering: ML-powered digital-first debt collection. The platform is powered by Predictive ML technology.