TalentBridge was a staffing firm that had outgrown its tools. A patchwork of spreadsheets, email threads, and a decade-old job board couldn't handle multi-state US compliance, candidate verification at scale, or the velocity the market demanded. We built them a custom B2B staffing marketplace that turned their biggest operational constraints into their moat.
45+
recruiters
200+
employers
14
states Served
340+
compliance Rules
TalentBridge connects US healthcare and logistics employers with pre-vetted talent from South Asia. Founded in 2018, they'd grown to 45+ recruiters and 200+ employer accounts by 2023. Their legacy systems — cobbled together from off-the-shelf job boards, HubSpot, and Google Sheets — were actively impeding their ability to scale past $15M in annual placements.
TalentBridge's growth had exposed fundamental weaknesses in their tech stack. Every new state they entered meant a new layer of compliance complexity. Every new employer meant more manual work for recruiters who were already stretched thin.
Each US state has unique staffing regulations, licensing requirements, and tax codes. Recruiters manually cross-referenced compliance requirements in spreadsheets. Errors led to two near-miss lawsuits in 2022 alone.
Recruiters spent 60% of their time on administrative tasks: formatting resumes, checking licenses, sending follow-up emails. Actual candidate engagement — the high-value work — was squeezed into the remaining 40%.
Employers had no visibility into the hiring pipeline. They submitted requirements via email and waited days for candidate shortlists. Competitors were offering real-time dashboards.
At 45 recruiters, the system was at its breaking point. Adding more people made coordination worse, not better. Leadership estimated they were leaving $4-6M in annual placements on the table due to capacity constraints.
We designed and built a purpose-built staffing marketplace from scratch — an operating system for every stakeholder: recruiters, employers, candidates, and compliance officers. AI was embedded at the core, not bolted on as an afterthought.
Our Approach: We conducted a 2-week discovery sprint in New York with TalentBridge's leadership and top recruiters, mapping their entire workflow from employer intake to candidate onboarding. The key insight: the platform needed to serve four distinct user personas with very different needs. We adopted a modular architecture that could be extended state-by-state without rebuilding the core.
AI-powered candidate matching engine that scores candidates against job requirements with 92%+ accuracy, learning from recruiter feedback over time
Automated compliance engine with per-state rule configurations — automatically flags candidates needing additional licensing, background checks, or certifications before submission
Real-time employer dashboard showing pipeline health, candidate quality scores, time-to-fill metrics, and spend analytics
Unified recruiter workspace replacing 5+ tools — resume parsing, interview scheduling, offer management, and onboarding in a single interface
Candidate self-service portal for document uploads, interview scheduling, and status tracking
Integration layer with major ATS platforms (Greenhouse, Lever, Workday) for bi-directional data sync
A phased approach ensured value delivery at every milestone — not just at the finish line.
On-site with TalentBridge leadership and 12 top recruiters. Mapped end-to-end placement workflow. Identified 4 user personas. Prioritized features using RICE framework. Signed off on technical architecture.
Created design system with component library. Built high-fidelity prototypes for all 4 user personas. Conducted moderated usability tests with 8 recruiters and 3 employers. Iterated on 23 design elements based on feedback.
Built recruiter workspace, employer dashboard, and candidate portal in parallel. Implemented matching engine MVP using Elasticsearch + Python ML. Integrated compliance rule engine with per-state configurations.
Onboarded 8 recruiters and 3 employer accounts onto the alpha. Ran parallel operations with legacy system for 2 weeks. Collected 150+ pieces of feedback. Achieved 91% recruiter preference for new platform over legacy tools.
Expanded compliance engine to cover 12 additional states. Partnered with TalentBridge's legal team to validate every rule. Automated background check initiation via Checkr API integration.
Migrated all 200+ employer accounts and 45+ recruiters. Conducted 3 waves of live training. Built knowledge base with 40+ help articles. Established 24/7 hypercare support for first 30 days post-launch.
Every metric is independently verifiable. These aren't vanity numbers — they're business outcomes.
10,542
Placements in First 12 Months
Up from 6,200 in the previous year — a 70% increase driven by higher recruiter throughput and improved match quality. AI matching meant recruiters spent less time searching and more time closing.
92%
AI Match Accuracy Rate
The matching engine achieved 92% precision at 30 days, measured as the percentage of AI-suggested candidates that recruiters actually submitted to employers. This improved to 96% by Month 6 as the model learned.
4.8 / 5
Employer Satisfaction Score
Measured via quarterly NPS survey across all active employer accounts. Real-time dashboards and faster candidate delivery were cited as the top two drivers of satisfaction improvement.
$22.4M
Placement Value in Year 1
Total value of all placements made through the platform in the first 12 months post-launch, up from $14.8M the previous year — representing a 51% revenue increase.
“We went from 5 tools and a prayer to a single platform that our entire team actually trusts. The compliance engine alone has been worth its weight in gold — it's like having a regulatory expert watching over every single placement.”
Rahman Chowdhury
CTO, TalentBridge Platform
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