VentureDive

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VentureDive Pvt. Ltd. is a technology solutions company based in Karachi, Pakistan founded in 2012. Their team of over 250 professionals has offered UX/UI design, IT strategy consulting, and cloud consulting & SI services to clients ranging from startups to large firms for years. They have experience working in the industries of business and financial services as well as IT.

Client Insights

Industry Expertise

Financial services

30%

Medical

30%

GPS, Navigation & GIS

20%

Supply Chain, Logistics, and Transport

20%

Client Size Distribution

Small Business (<$10M) 45%

Midmarket ($10M - $1B) 45%

Enterprise (>$1B) 10%

Common Project Size

$10K-$49K 6 projects

$50K-$199K 4 projects

$200K-$999K 2 projects

Clients

  • Careem

Highlights from Recent Projects

Overall Rating

4.7
22 Reviews

VentureDive was hired by a healthcare startup to expedite the frontend development of one of their products. The product, which was initially used for demonstrations, was created using React.js for the frontend and GraphQL for backend communication. VentureDive's team, consisting of a tech lead and a senior software engineer, developed the frontend and incorporated it into the client's codebase. The engagement, which began in June 2020, is ongoing with the team now focusing on finding a market fit for the product and building its proof of concept.

VentureDive was engaged by Coralis Health to develop two applications for patients and healthcare professionals. The team of 14 from VentureDive created a Patient App that allows families to search for healthcare professionals, request appointments, and have telehealth visits via the app, integrating AthenaHealth's secure platform. The Provider App, on the other hand, allows families to request appointments and enter the AthenaHealth portal. Professionals who join the network on the app undergo a verification process confirmed in the Admin Portal.

Kashf Foundation, a microfinance company, enlisted the help of VentureDive to develop a machine learning-based loan recommendation engine. The project aimed at productivity increase, cost reduction, and risk mitigation. The team of 6-10 employees from VentureDive worked on credit modeling, loan recommendation engine development, and machine learning model updates and retraining. The project was successful and VentureDive was praised for their high ratings, great culture fit, and aligned company values.

Timeliness

4.8

Service Excellence

4.7

Value

4.5

Would Recommend

4.8

Awards

52875

2023

36756

2022

36650

2022