Heron Data

Heron Data

ML-based underwriting for small business lenders

Overview

Heron Data uses machine learning to speed up underwriting for small business lenders. Its platform analyzes merchant applications and bank data, applying lender criteria to automatically decline applicants that don’t meet requirements. A dashboard lets lenders monitor loan portfolios over time to spot growing businesses and potential defaults. The goal is to help lenders approve more loans faster while reducing risk and increasing revenue by providing clear, data-backed credit decisions and portfolio visibility.

YC Company
Significant Headcount Growth

About Heron Data

Simplify's Rating
Why Heron Data is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Enterprise Software

Fintech

Financial Services

Company Size

51-200

Company Stage

Series A

Total Funding

$17.3M

Headquarters

London, United Kingdom

Founded

2020

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Simplify's Take

What believers are saying

  • Heron says it serves 200+ SMB funders, brokers, and insurers as of August 2026.
  • The company processes over 100,000 documents daily, signaling strong product usage.
  • Heron's 2026 broker-suite launch broadens revenue beyond lenders into brokers and insurers.

What critics are saying

  • Competitors like Ocrolus, Provenir, and nCino sell similar workflow automation to lenders.
  • Background-check automation exposes Heron to lender liability and FCRA disputes after adverse decisions.
  • If customers standardize on core-platform AI, Heron becomes replaceable within one renewal cycle.

What makes Heron Data unique

  • Heron automates intake, extraction, checks, and decisioning inside existing underwriting workflows.
  • August 11, 2026 Background Checks screen owners and businesses in under a minute.
  • NBS cut underwriting time in half and reviewed 25-40% more submissions daily with Heron.

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Funding

Total Funding

$17.3M

Below

Industry Average

Funded Over

3 Rounds

Series A funding typically happens when a startup has a product and some customers, and now needs funding to scale. This money is usually used to grow the team, expand marketing, and improve the product. Venture capital firms are frequently the main investors here.
Series A Funding Comparison
Meet Average

Industry standards

$15M
$8.2M
Discord
$15M
Canva
$16M
Heron Data
$30M
Kalshi

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Parental Leave

Mental Health Support

Unlimited Paid Time Off

Hybrid Work Options

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

5%

1 year growth

9%

2 year growth

11%
PR Newswire
Aug 11th, 2026
Heron launches automated background checks to eliminate last manual step in SMB underwriting

Heron Data launched automated Background Checks, a screening product that matches business owners and companies across credit, court, and public records in under a minute. The AI platform serves over 200 SMB funders, brokers, and insurers. Background checks typically represent the final manual step before funding. Roughly one in five deals passing cashflow checks still fail at this stage, often after brokers have already presented offers to merchants. Heron's system searches across court records, Secretary of State filings, and nationwide databases with a 97% owner match rate. It converts raw records into clean signals covering liens, judgments, sanctions, criminal history, and bankruptcies, then applies each funder's own policy for pass, review, or decline decisions. For early customers, the system automatically caught over 90% of declines that underwriters previously identified manually. The product is now available for US funders, complementing Heron's existing suite for revenue-based financing.

NBS Underwriting Limited
Aug 3rd, 2026
How our work with Heron Data is transforming manual submissions.

How its work with Heron Data is transforming manual submissions. Over the past few months, NBS Underwriting Limited has been working with Heron Data to make it easier for brokers to submit manual presentations to NBS. Heron's technology converts emailed proposal forms, presentations and supporting documents into structured submissions within its quotation system. This reduces the time spent manually entering information and allows its underwriters to focus on reviewing risks and responding to brokers. As NBS Underwriting Limited continue to introduce this technology across more of its products, Heron Data has taken a closer look at the impact it is already having on submission volumes, underwriting efficiency and turnaround times. Read their full case study below. The following case study was originally produced by Heron Data and has been reproduced with their permission. NBS halves underwriting time and reviews 25-40% more submissions a day with Heron. NBS, a UK MGA that has grown to a ~£120M book across 40+ products since 2011, ran a portal-only model that required brokers - or its own underwriters - to manually enter every risk. By using Heron to automate submission intake across that broker portal, NBS cut underwriting time roughly in half, freed underwriters to review 25-40% more submissions a day, and lifted quote volume even in a soft market - all without adding headcount, and with a projected £8-10M in additional premium as every line moves onto Heron. For most of the book, roughly 95% of submissions came in the same way: a broker manually entered the risk into the portal. On the professional indemnity scheme, where NBS took proposal forms directly, underwriters did the keying themselves - and cross-referenced up to ten documents per submission to make sure the numbers tied out. The more complex the line, the worse it got. A commercial combined risk with two premises could run up to 120 questions. NBS is 100% portal-based, so Heron sits between the incoming submission and that portal. A broker or an underwriter forwards the submission by email, in whatever form it arrives - a proposal form, a presentation, a stack of attachments - and Heron reads it, returns clean structured data into NBS's portal, and flags anything that needs a human's eye. A commercial combined case that once ran up to 120 questions across multiple premises now returns in about two minutes. NBS discovered Heron through the Accelerant Marketplace - Accelerant's curated network of best-in-class partners, each thoroughly vetted for quality, performance and integration before an MGA ever sees them. "We wanted to remove the repetitive, manual tasks from our underwriting process so our underwriters could spend more time doing what they do best - underwriting risks rather than entering data." - Rachel Oldroyd, Operations Director, NBS The payoff is throughput: underwriters now clear 25-40% more cases a day, and, freed from the repetitive data entry, they like the work more for it. Because NBS can now accept manual submissions, more business finds its way to NBS. For one line of business, in the first three to four months, quote volume rose about 10% - and that number understates the impact, because a soft UK market had comparable lines running roughly 16% down over the same period. Turnaround tightened too: professional indemnity moved from about four days to two, and commercial combined from a day to half a day. None of it required adding headcount - the same team simply handles more. "We've seen underwriters doing between 25 and 40% more cases a day, because they've cut their underwriting time by about 50% on each case." - Rachel Oldroyd, Operations Director, NBS NBS projects that once every line runs through Heron, quote volume could climb 25% - an estimated £8-10 million of additional premium in the first twelve months. Heron is now central to how NBS plans to grow. It intends to roll Heron across all 40 of its products - no new product will go live without Heron built in - and it's developing a broker-facing chatbot widget that drops a submission straight to Heron and returns it ready to complete. About Heron. Heron automates submission intake and underwriting data for insurers, MGAs, brokers and lenders - reading documents in any format, screening them against appetite, and delivering clean, structured data into existing systems. herondata.io

PR Newswire
Jul 29th, 2026
NBS cuts underwriting time 50% and reviews 25-40% more submissions daily with Heron automation

NBS, a UK managing general agent with a £120 million book across 40-plus products, has halved underwriting time and increased daily submission reviews by 25–40% using Heron's automated intake platform. The firm previously required brokers or underwriters to manually enter every risk into its portal—a process that could involve 120 questions for complex commercial combined cases. Heron now sits between incoming submissions and NBS's portal, reading documents in any format and returning structured data in roughly two minutes. Professional indemnity turnaround dropped from four days to two, whilst commercial combined fell from one day to half a day. Quote volume rose 10% in the first three to four months for one line, outperforming a soft UK market where comparable lines fell 16%. NBS projects that rolling Heron across all products could deliver £8–10 million in additional premium within twelve months, without adding headcount.

Read Magazine
Aug 19th, 2025
Heron & KLC Financial Partner to Streamline Equipment Finance with AI

Heron has partnered with Minneapolis-based Equipment Finance company, KLC Financial, marking Heron's expansion into the Commercial Lending space.

PYMNTS
Jul 15th, 2025
Heron Data Secures $16M for Automation

Heron Data raised $16 million in a Series A funding round to expand its lending automation services in sectors like insurance and SMB lending. The company aims to automate document-based workflows, freeing humans for complex tasks. Heron's tools can perform tasks like eligibility checks in seconds, enhancing credit access and accuracy. CEO Johannes Jaeckle emphasizes the balance between AI and human review for reliable outcomes.

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