Onamini — Designing trust & speed into an AI gig ecosystem.
How we bridged high-stakes talent verification with automated skill-matching algorithms, transforming a fragmented freelance marketplace into an intuitive SaaS operating system.
The Two-Sided Trust Deficit in Remote Work
Through 32 qualitative interviews across hiring managers and vetted freelancers, we identified that the core friction in modern gig platforms was not finding candidates—it was the cognitive burden of evaluating credibility and the terror of scope creep.
Candidate Overload & The Resume Verification Nightmare
Hiring managers spent an average of 4.2 hours sifting through 100+ generic proposals per posting. 60% of submitted portfolios exaggerated actual contributions, leading to failed contracts and delayed product sprints.
Escrow Blindspots & Scope Creep Dread
Top freelancers hesitated to commit to contracts without guaranteed automated milestone deposits, citing endless unpaid revision rounds on legacy platforms.
The Solution: An AI-Assisted Operating System, Not a Job Board
We decoupled the gig experience from static bulletin boards. Instead, we architected Onamini around three unified pillars: Automated Semantic Skill Extraction, Dynamic Milestone Escrow, and a Multi-Role Workspace that serves Talent, Clients, and Admins from one coherent design system.
The Complete Talent Dashboard & Discovery Hub
Designed as the daily command center for vetted talent: tracking real-time earnings, incoming AI match requests, active contract milestones, and multi-portfolio displays. Shown here in its complete uncropped viewport.
Immediate Financial Clarity
Aggregates cleared earnings, funds currently locked in escrow, and upcoming milestone deliverables into a zero-confusion summary.
Ranked Gig Compatibility
Every inbound opportunity features an instant match score (e.g. 96% Match) with transparent skill alignment breakdowns.
Zero Scope Creep
Visual progress tracks research, hi-fi prototyping, and client reviews with automated payment triggers upon approvals.
The Semantic AI Matching Engine
Adjust candidate parameters below to see how Onamini calculates match suitability in real time.
Based on skill extraction from Product Design, 4 years of verified portfolio outcomes, and automated escrow readiness.
Complete Ecosystem: Admin Oversight & Dispute Management
Enterprise platforms succeed or fail on the strength of their internal tools. We designed robust views for compliance officers and escrow managers to supervise transactions without impeding velocity.
Centralized Operational Health
Real-time visibility into active contracts, transaction volumes, user verification queues, and dispute alerts.
Granular Milestone Releases
Itemized audit trails showing when client escrow was funded, work approved, and payouts disbursed to talent.
Quantifiable Business Outcomes
How intuitive user flows and AI matching influenced key operational metrics.
Accelerated time-to-hire from an average of 4.2 days down to 2.3 days.
Drop in client-freelancer revision disputes due to explicit milestone requirements.
Talent completing full profile verification within their first 24 hours.
Clients commissioning second gigs within 60 days of their initial contract.
Let's build intelligent, trust-first software together.
Whether designing AI-driven marketplaces, fintech liquidity flows, or scalable B2B SaaS design systems, I help teams turn complexity into clarity.