Altar.io

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Altar.io is a product and software development company based in Lisbon, London, and Milan. Founded in 2015, the team of 20 provides end-to-end IT services in web, mobile, and cloud. They also provide UX/UI design, development, and software deployment. They are cross-industry, with a specialty in fintech and work with companies of all sizes.

 

Client Insights

Industry Expertise

Financial services

50%

Information technology

30%

Business services

20%

Client Size Distribution

Small Business (<$10M) 50%

Midmarket ($10M - $1B) 30%

Enterprise (>$1B) 20%

Common Project Size

$10K-$49K 13 projects

<$10K 6 projects

$50K-$199K 3 projects

Clients

  • Apiax

Highlights from Recent Projects

Overall Rating

4.9
25 Reviews

Altar.io was hired by the CEO of CLAi, a digital-self platform, to define the product scope and create UI/UX mockups. The project team consisting of 6-10 employees was chosen for their cultural fit, value for cost, and alignment with the company's values. The key deliverables, including a detailed Business Plan and an interactive Figma mockup/prototype, were successfully delivered, aligning with the client's needs and expectations.

The founder/CEO of an educational institution engaged Altar.io with the aim to define user stories for their application, outline the scope of the MVP, and assess the technical feasibility of the application. The project, which involved 2-5 employees from Altar.io, was driven by the company's high ratings, alignment with company values, and creativity in product design. The engagement resulted in a comprehensive in-person product scope, generation of innovative ideas integrated into the software, and delivery of key screens, user stories, and customer personas.

The Director of IT of a research company sought the expertise of Altar.io to develop software capable of recognizing dolphin echolocation in a natural setting and triangulating the center target of the echolocation in real time. Altar.io was chosen for their competitive pricing, great culture fit, and good value for cost. The team of 2-5 employees developed a python code that successfully recognizes echolocation versus ambient noise and measures the intensity of echolocation in real time on an array of 15 hydrophones. The software also compares the intensity of the hydrophones and calculates the center of the echolocation, effectively meeting the client's objectives.

Timeliness

4.8

Service Excellence

4.9

Value

4.7

Would Recommend

5.0

Awards

74601

2023

74616

2023

74613

2023

37358

2022