Ample Insight

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Ample Insight is a BI & Big Data Consulting firm based in Brampton, Canada. Founded in 2018, their team of 8 serves clients in the IT, e-commerce, and consumer products sectors. They also specialize in artificial intelligence.

Client Insights

Industry Expertise

Information technology

50%

Consumer products & services

10%

Medical

10%

Other industries

10%

Supply Chain, Logistics, and Transport

10%

eCommerce

10%

Client Size Distribution

Small Business (<$10M) 50%

Midmarket ($10M - $1B) 40%

Enterprise (>$1B) 10%

Common Project Size

$10K-$49K 4 projects

$200K-$999K 2 projects

<$10K 1 project

Clients

  • Unilever
  • Ocado Group
  • Communitech
  • Dove

Highlights from Recent Projects

Overall Rating

5.0
12 Reviews

Ample Insight completed a custom software development project for ParkCo, a company specializing in tailored solutions for revenue maximization and cost reduction. The project involved the implementation of an algorithm for license plate visual similarity scoring and a model for forecasting peak occupancy rates for tenant parking stalls. The deliverables included a proof of concept for the visual similarity model, an improved car authorization model, fully documented code, and a demo Python notebook. The project was successful, with high ratings and positive feedback from the client.

Ample Insight provided big data consulting and annotation services for AWOS Technologies, an auto-tech company specializing in automated occupant exit assistance safety systems. The project involved compiling a comprehensive database on vehicle submersion accidents and validating the hypothesis that fatalities resulting from occupant entrapment in passenger vehicles are underreported. The database was used to inform policy decisions and support continued research. The project was successful, and the client gave positive feedback.

Ample Insight worked on a computer vision model for Livesens, a company that deploys mobile sensing units for outdoor data collection. The project involved creating a framework for evaluating the performance of computer vision models. The deliverables included technical documentation, sample code, and recommendations for future implementation. The project was successful, with the client expressing satisfaction with the company's pricing, referral, and alignment with their values.

Timeliness

4.9

Service Excellence

5.0

Value

4.8

Would Recommend

5.0

Awards

126759

2024

126778

2024

126762

2024

126802

2024