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Planck for Commercial Underwriting Data Enrichment

Planck by Planck (Applied Systems) · New York, NY

Data enrichment engine that builds commercial risk profiles from just a business name and address using public data sources.

In-Depth Review

Planck was founded in 2016 in Israel with a premise that resonated immediately with small commercial underwriters: what if you could build a detailed risk profile from nothing more than a business name and address? The company was acquired by Applied Systems in 2024, bringing it into the Applied ecosystem alongside Cytora and other AI underwriting tools.

The Data Enrichment Approach

Small commercial underwriting has a persistent data problem. Applications are often thin: an agent submits a business name, address, a few coverage limits, and maybe a loss run. The underwriter is expected to price the risk based on information that does not tell the full story.

Planck addresses this by crawling public data sources. Given a business name and address, the platform searches the business’s website, Google and Yelp reviews, permit records, satellite and street-level imagery, social media profiles, and government databases. It then synthesizes what it finds into a structured set of over 1,000 risk attributes.

These attributes cover practical underwriting dimensions: what the business actually does (sometimes different from what the application says), estimated revenue and employee count, square footage, presence of specific hazards (rooftop equipment, fleet vehicles, chemical storage), and NAICS classification.

NAICS Validation

One of the more immediately useful features is NAICS code validation. Misclassified businesses are a common pricing error in small commercial. A restaurant classified as a retail food store, or a light manufacturer classified as a wholesaler, can result in materially incorrect pricing. Planck cross-references the submitted code against what it observes about the actual business operations and flags mismatches.

What Enrichment Cannot Do

It is worth being direct about the limits. Public data enrichment tells you what is publicly visible about a business. It does not tell you about internal operations, financial health, safety culture, or claims history. A restaurant with excellent Google reviews might still have a kitchen that violates fire codes. Satellite imagery can show a building’s condition, not its sprinkler system status.

Planck provides better inputs for underwriting decisions. It does not make those decisions. Carriers still need underwriting rules, scoring models, or experienced underwriters to interpret the enriched data.

Post-Acquisition Positioning

The Applied Systems acquisition in 2024 changed Planck’s competitive position. On the positive side, it provides capital stability and deep integration with Applied Epic, the agency management system used by thousands of agencies and carriers. On the other side, carriers running Guidewire or Duck Creek should confirm that Planck’s development roadmap still prioritizes non-Applied integrations.

Who Should Evaluate Planck

Carriers and MGAs writing small commercial with annual premium under $50K per account, where application data is routinely thin and manual research is time-consuming. If your underwriters regularly Google businesses to fill in gaps on applications, Planck automates that research at scale. Pair it with a submission scoring tool if you also need automated triage.

+ Strengths

  • Addresses the core small commercial underwriting challenge: making decisions with inadequate application data
  • Applied Systems acquisition provides long-term product stability and deepens integration with Applied Epic
  • Multi-source data approach (web, imagery, permits, reviews) produces a more reliable profile than any single data vendor

Limitations

  • Enrichment accuracy depends on the business having a public digital footprint; new businesses or cash-only operations produce weaker profiles
  • Post-acquisition integration strategy may prioritize Applied Epic users, potentially slowing feature development for other platforms
  • Data enrichment solves the input problem but does not replace underwriting judgment or automated scoring

Key Use Cases

01

Supplementing sparse small commercial applications with external data to improve underwriting accuracy

02

Validating agent-submitted business classifications against actual observed operations

03

Identifying physical hazards and property characteristics through satellite and street-level imagery analysis

04

Reducing application abandonment by pre-filling fields that applicants typically leave blank

Verdict

Planck is a practical choice for small commercial carriers and MGAs who need external data enrichment to underwrite businesses where application data is sparse. Carriers on Applied Epic will get the smoothest integration. Carriers looking for submission scoring or portfolio management should pair Planck with a tool like Sixfold or Federato.

Pricing

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Data Enrichment API

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  • Name-and-address risk profile generation
  • 1,000+ risk attribute output
  • NAICS code validation and correction
  • API access for integration with policy admin systems

Full Platform

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  • Data enrichment API
  • Application pre-fill for commercial submissions
  • Applied Epic native integration
  • Custom attribute configuration