AI-Driven Talent Matching Platform
Matching the right talent in seconds, not weeks.
Corvx built a fully AI-driven talent marketplace from the ground up, a platform where businesses find and hire on-demand engineering teams through conversational bots, NLP-powered job matching, and automated milestone management. The platform now serves over 50,000 freelancers and can match talent to a job description in under 30 seconds.
The client is a venture-backed startup that set out to reinvent how companies hire technical talent. Traditional freelance platforms rely on manual browsing, keyword search, and lengthy proposal cycles. The founder wanted something radically different: a platform where AI handles the matching, onboarding, and even dispute resolution, so both clients and freelancers can focus on the actual work.
What stood in the way
Matching at Scale
With 50,000+ freelancer profiles and highly varied job descriptions, traditional keyword matching produced poor results. The client needed semantic understanding, matching skills, experience, availability, and even communication style.
Conversational Onboarding
Both freelancers and companies needed to be onboarded through a natural, chat-like experience, not forms. This meant building conversational AI that could gather structured data from unstructured conversation.
Trust & Payments
Milestones, escrow payments, and disputes needed an automated workflow engine with clear handoffs and human escalation when needed.
How we solved it
NLP-Powered Talent Matching
We built custom NLP models that parse job descriptions into structured skill graphs and match them against enriched freelancer profiles. The system considers not just skills but experience depth, timezone, availability, and past performance scores. Matching happens in under 30 seconds.
Conversational Onboarding Bots
AI-powered chatbots guide both freelancers and companies through onboarding. For freelancers: skills, experience, portfolio, and availability. For companies: project scope, budget, timeline, and must-have requirements. All captured conversationally and stored as structured data.
Automated Engagement Management
An end-to-end workflow engine handles milestone creation, escrow funding, deliverable review, payment release, and dispute resolution, with human escalation only when the AI's confidence drops below threshold.
The platform launched with matching, onboarding, and engagement workflows in place. It generates qualified candidate shortlists for companies in under 30 seconds.
Built with
AI & NLP
- Python (spaCy, Hugging Face)
- TensorFlow
- OpenAI API
- LangChain
Backend
- Ruby on Rails
- Python (FastAPI)
- PostgreSQL
- Redis
Frontend
- React.js
- TypeScript
- WebSocket
Integrations
- Slack API
- Stripe (Escrow)
- Jira
- Google Calendar
- Zoom
Product-Led, AI-First Development
Phase 1: Trunks MVP
2 monthsBuilt the individual talent matching product (Trunks) with core NLP matching and basic onboarding flow.
Phase 2: Leo Bot Launch
6 weeksDeveloped the conversational AI bot (Leo) for team hiring, matching clients with pre-assembled squads for larger projects.
Phase 3: Engagement Engine
2 monthsBuilt the milestone, escrow, and dispute resolution workflows. Integrated with Stripe, Slack, and project management tools.
Phase 4: Scale & Learn
OngoingContinuous model retraining based on match outcomes. A/B testing of matching algorithms. Expansion to new job categories.
What we brought to the table
NLP & Matching
Custom NLP models that match talent to jobs in under 30 seconds with 92% satisfaction.
Conversational AI
Chatbots that onboard users, capture requirements, and manage engagements conversationally.
Platform Engineering
Full-stack platform with payments, project management integrations, and real-time messaging.
Product-Led Development
We obsessed over the user experience for both sides of the marketplace. Every feature was validated through user testing before scaling. The AI was trained on real match outcomes, not synthetic data, making it smarter with every engagement.
Client quotes are published with permission. The project record above is the source for scope, method, and outcomes.Corvx project record
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