Helpware Tech

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Helpware Tech is a midsize San Francisco, California-based IT strategy consulting company. They provide IT strategy consulting, IT staff augmentation, Custom Software Development, Web Development, and more and were founded in 2015.

Client Insights

Industry Expertise

Medical

20%

Other industries

20%

Business services

15%

Financial services

15%

Information technology

15%

Insurance

15%

Client Size Distribution

Small Business (<$10M) 20%

Midmarket ($10M - $1B) 50%

Enterprise (>$1B) 30%

Common Project Size

$10K-$49K 10 projects

$50K-$199K 6 projects

$200K-$999K 4 projects

Clients

  • Google
  • Microsoft
  • PWC
  • CompIQ

Highlights from Recent Projects

Overall Rating

4.9
30 Reviews

Helpware Tech was hired by Aiter.io to develop a Minimum Viable Product (MVP) for their AI-powered marketing tool. The client sought out Helpware Tech due to their high ratings and alignment with company values. The team at Helpware Tech, consisting of 2-5 employees, was responsible for the development and design of the tool. They first created a mock-up of the interface which was then refined based on feedback from Aiter.io. The final product was delivered promptly and was ready for deployment.

Helpware Tech was also engaged by Helpware, a global leader in the Business Process Outsourcing industry, to develop a microtasking platform. The team of 6-10 employees was assembled based on a referral and their high ratings, geographic proximity, and cost-effectiveness. Helpware Tech's engineers, UI/UX designers, and project manager worked together to deliver the platform in 2-week sprints, following a defined roadmap.

Mars Market Access & Pricing Strategy GmbH contracted Helpware Tech to develop an AI MVP for their healthcare pricing consultancy. The team of 2-5 employees was selected for their experience and was contacted directly by a Helpware Tech representative. They built the DO-BO® platform to expedite drug dossier creation by extracting relevant data from extensive reports, images, and tables. The system uses natural language processing and machine learning, retraining daily based on user feedback. It also includes collaboration tools for team review and robust security measures for sensitive information.

Timeliness

4.9

Service Excellence

4.9

Value

4.7

Would Recommend

4.9

Awards

111753

2024

111754

2024

111756

2024