Brickroad
Brickroad
IndexSignalsBlog
/Index//

Product

  • Information Frontier Agent
  • Vendor Management Agent
  • Product Tour
  • Pricing

Solutions

  • All Solutions
  • Atlas
  • Wayfinder
  • Horizon

Suppliers

  • Sell Your Data
  • Start Onboarding
  • Programmatic Data License

Community

  • Public Index
  • Signals
  • Blog

Company

  • About
  • Team
  • Careers
  • Brand

Connect

  • LinkedIn
  • X
PrivacyTermsCookies

© 2026 Brickroad

/Index/Impetus AI Solutions/Impetus AI Solutions
IA

Impetus AI Solutions

IMPETUS AI SOLUTIONSManage supplier listing

Paired pre-incident / post-incident satellite and drone imagery aligned to per-policy field polygons, with derived vegetation-index deltas, AI patch classification, and quantified loss percentages — joined to farmer-submitted geotagged damage reports and, downstream, to the insurer's settled claim outcome. Asset class is labelled crop-damage training data for tropical/sub-tropical smallholder parcels under an Indian government crop-insurance scheme, where parcel boundaries are supplied by insurers rather than by an OEM farm platform.

Open buyer room →
Impetus AI Solutions/Impetus AI Solutions
SampleCoverage

Sample

Brickroad customers

Sample this dataset before you buy it.

Your sourcing agent asks Impetus AI Solutions and files the sample in your catalog — private to you.

Start 7-day trial→Nothing is charged until the trial ends.

Coverage

Universe, instruments and categories.

Industry
Data Processing & Outsourced ServicesProperty & Casualty Insurance
Instruments
equitiescommodities
Categories
AlternativeGeospatialESG
Regions
APAC
Sample tickers
UPLCOROMANDELCHAMBLFERTWILCAPGAELADM
Dataset card
Type
not stated
Format
Multispectral imagery rasters + geospatial vector (shapefile polygons) + tabular loss/claim records; drone orthomosaics; mobile-captured geotagged photo and form records
Volume
Request further research — no parcel, polygon or imagery count is published. Mechanic-based bound: each assessment requires a pre/post imagery pair per policy polygon, so volume equals parcels-assessed x events; under an Indian government scheme programme this could reach 10^5-10^6 polygon-pairs, but that is inference from the scheme context, not a vendor figure. Request parcels assessed to date and imagery archive size.
Users
N/A as a user base — B2B service delivery to insurers and government schemes. Corporate record of ~9 staff implies single-digit client programmes rather than a registered-user platform. Request number of insurer clients and parcels assessed.
History
not stated
Update frequency
not stated
Growth
Uncertain / small — maintained product page but a visible template/copy error on this very page (an unrelated sports vertical's text appears in the 'Why Choose' section), which suggests limited content investment. No hiring, funding, or release evidence; treat as a small services shop and re-verify activity before outreach.
Launched
Est. 2019-2024 for the company (basis: the corporate-record entity identifier dates to 2024 as the point of discovery, and the government scheme it targets began 2016, so the firm is a recent entrant into an established programme). Product launch year is not stated — request it.
Delivery
not stated
Entity mapping
not stated
Sample
not stated
Point-in-time
not stated
Licence
not stated

supplier index read from their site

Impetus AI Solutions has not added their own details yet. Not yet on file:

  • Dataset
  • Data dictionary
  • Coverage
  • Provenance
  • Rights & data handling