Vette

Vette

Boise, Idaho

Human Resources

Seed

An on-demand, human-to-human hiring platform that leverages the gig economy to conduct interviews.

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Services utilized

Product Management
Product Design
Software Engineering
Artificial Intelligence
Quality Assurance

Scope of work

Autonomous Team
React Development
Node.js Development

01. Overview

Vette faced challenges scaling its proof-of-concept candidate screening platform into a robust, enterprise-grade system. OAK’S LAB delivered a dual-track agile build featuring AI-driven SMS communication and interview summarization. The result: thousands of instant interviews per month, improved candidate experience, and enterprise readiness with rapid scalability.

02. Client background

Vette is an "Instant Human Engagement" platform founded in 2020, based in Boise, Idaho. It connects applicants with human “Vetters” for on-demand interviews via SMS or phone, enabling companies to engage candidates instantly, which is critical for high-volume, hourly hiring needs.

03. Challenge

After validating their proof of concept, Vette needed to build a scalable, user-friendly platform capable of supporting thousands of interviews daily, integrating AI for automated messaging and summarization, and establishing effective product processes to manage the feature backlog.

04. Solution

OAK’S LAB deployed a dedicated product team to help Vette evolve their proof of concept into an enterprise-grade, revenue-generating SaaS platform.

Architecture overhaul and scalability planning

Rebuilt the platform to support live, on-demand video interviews across multiple roles and customer types. We ensured the architecture could handle higher throughput, particularly as Vette scaled from early pilots to enterprise usage.

Candidate-to-vetter routing logic

Developed matching algorithms that intelligently route job applicants to available vetters based on factors like time zone, job role, and vetter availability, helping Vette reduce wait times and optimize throughput.

Integrated AI call summarization

Leveraged AI transcription and summarization to automate post-interview feedback, saving time for vetters and creating structured data for downstream hiring decisions.

Workflow and queue management tools

Built internal dashboards and controls that allowed vetters to manage their workload, interview queues, and candidate statuses, improving operational efficiency.

Data management and reporting layer

Created a backend system that tracks vetter activity, interview outcomes, and client-facing metrics to support performance reporting and business transparency.

05. Outcome

Enterprise-ready platform launched

The system was scaled to support high-volume hiring use cases for Vette’s key clients, including Instawork, CreditNinja, and IntelliShift.

Improved vetter productivity and interview volume

Vette’s internal team was able to handle significantly more interviews per day through better queue management, AI automation, and vetter-matching efficiency.

Enhanced client satisfaction

Clients benefited from faster time-to-candidate-feedback cycles and more structured, high-quality interview reports.

Operational scalability unlocked

Vette transitioned from a manual, concierge-style hiring flow to an automated, productized platform that could grow without proportional headcount increases.

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