A 40% Reduction in Time-to-Hire with AI-Powered Talent Assessment

How we transformed an AI-driven HR concept into a scalable enterprise platform, setting a new standard in talent assessment

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We partnered with Vima to build their vision into a market-ready, enterprise-grade SaaS platform. The project centered on developing an advanced AI engine for analyzing video sentiment, text, and facial expressions. With our expertise, we ethically integrated this novel technology, creating a powerful decision-support tool for recruiters that proved the platform's market value and directly enabled Vima's client acquisition and business growth.

Client

Vima

Country

Switzerland

Market

DACH

Type

Seed to Series A Startup

Story

Vima, a Swiss HR Tech startup, aimed to revolutionize talent acquisition by moving beyond the limitations of traditional resumes. Their vision was a human-centric platform using AI to analyze a candidate's soft skills, personality, and emotional alignment for a deeper, more objective assessment. The primary business challenge was to bridge the critical gap between an innovative demo and a scalable, secure, and commercially viable B2B enterprise solution capable of earning the trust of large organizations.

Business Impact

Unlocking Market Viability and Client Acquisition

This foundational work was the critical catalyst that allowed Vima to move beyond showcases and begin deploying its solution in live enterprise environments. The transition from a demo to a fully operational enterprise solution proved the platform's market viability and directly enabled Vima to successfully acquire its first enterprise clients, fueling business growth.

A 40% Reduction in Time-to-Hire

The automation delivered a significant competitive advantage for Vima's clients, resulting in a 40% reduction in time-to-hire. This acceleration of the hiring cycle allows organizations to secure top talent faster. The platform also saved an estimated 15 hours of administrative work per hire, boosting overall HR efficiency and productivity.

Improving Hire Quality and User Engagement

This responsible approach to AI increased candidate assessment accuracy by an estimated 35%, helping organizations improve their quality of hire and leading to better long-term outcomes, including a projected 20% reduction in costly first-year employee turnover. Furthermore, the commitment to a positive user experience drove a 25% higher user engagement rate compared to industry benchmarks, ensuring strong platform adoption and delivering sustained value to Vima's clients.

40%

Faster Time-to-Hire

35%

Increased Assessment Accuracy

25%

Higher User Engagement

15 Hours

Saved per Hire

Focus Area

Domains

AI & ML Solutions

SaaS

HR Platforms

Video Streaming

Web Apps

Data Analytics & Visualization

Databases & Integrations

Cloud Computing

API

Services

Data Visualization

Research & Development

MVP Development

UX/UI Design

Web Development

API Development & Integration

Database Design & Management

AI & ML Services

Code Optimization & Performance

CI/CD Implementation

Industries

Artificial Intelligence

HRTech

Business & Expert Solutions

Workplace Solutions

Tech Stack

AWS Managed Services

Node.js

Next.js

MySQL

React.js

Chart.js

WebSockets

npm

Challenges

Vima faced a series of interconnected challenges, beginning with the critical need to transform its innovative demo into a scalable, secure, and enterprise-grade B2B platform capable of managing sensitive, multi-tenant HR data. This was compounded by the high cost and inefficiency of traditional manual hiring processes, which delayed time-to-hire and diverted HR teams from strategic work. Finally, the core technological challenge was to integrate novel AI for video sentiment and facial analysis in an ethical, human-centric manner that would empower recruiters rather than replace their judgment, thereby avoiding the pitfalls of an untrustworthy "black box" system.

Solutions

To address these challenges, Codetribe engineered a robust, secure, and scalable multi-tenant SaaS architecture using a modern cloud infrastructure and granular role-based access control to ensure data integrity and compliance. We automated key workflows, particularly candidate assessments and initial screenings, which significantly accelerated the hiring cycle and allowed HR professionals to focus on higher-value strategic tasks. For the novel AI integration, we designed an "AI Co-Pilot" system that presents analytical insights as decision support, prioritizing a human-centric and ethical user experience to build trust and ensure the technology felt supportive rather than intrusive.