Frontend Development for AI & Statistical Models Company
Services Covered:

Industry
Advertising & Marketing
Duration
13 months
Budget
Confidential
Start Date
1 January 2025
Team Size
1-5 Employees
Engagement Model
Offshore
Project Capability Score (PCS)
81/100
Strong
Project Capability Score (PCS) estimates how capable Enosis Solutions is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS
Client
AskPolly
Project Summary
Enosis Solutions provided Next.js frontend development services for AskPolly, an AI and statistical models company, focusing on improving the client's front-end application. The team (2–5 members) delivered frontend improvements that enhanced the look of the company's website. Communication was managed via virtual meetings, email, and messaging, and the vendor completed work on schedule.
Key Challenges
- Improving quality of our front end application.
Project Deliverables
- Frontend application improvements
- Updated website UI
- Frontend code and design implemented
Project Solution
Enosis Solutions worked on the client's frontend application, providing Next.js-based frontend development. A 2–5-person team was engaged to improve the quality and appearance of the web app; the engagement included design and implementation work on the frontend and regular communication with the client throughout the January 2025–February 2026 engagement.
Project Outcome
- Website appearance improved
- Delivered on time and maintained effective communication
- High quality and fast delivery
Platforms
Web
Tech Stack
React.js
Client Endorsement
Overall Review Rating
5
5 out of 5 stars
Timeliness
Cost Rating
Willing to Refer
Quality of Deliverables
“Enosis Solutions' work enhanced the client's website. The team delivered on time and communicated effectively through virtual meetings, emails, and messaging apps. Overall, the client was pleased with the quality and speed of Enosis Solutions' work.”
Note: This endorsement is based on publicly available client feedback from external review sources.
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