Quezaal · Series-Seed Pitch · 2026

Bench sales.
Reimagined
with AI.

JobSeam is an AI talent matching platform for IT staffing firms, universities, and individual job seekers, automating the full workflow from req intake to matched talent to placement.

InstantMatch scoring
1-ClickRTR workflow
[TBD]Addressable market — source needed
01 / 12
The Problem

Bench sales is broken, and the industry has accepted it.

The IT staffing industry (estimated in the tens of billions of dollars — cite a specific source, e.g. ASA or Staffing Industry Analysts, before using a hard number publicly) still runs largely on copy-paste, spreadsheets, and gut feel. Every day, consultants sit idle while their recruiters try to keep up with vendor email blasts.

  • Multiple hours per day potentially lost per rep scanning vendor blasts for relevant reqs (illustrative estimate — not from a measured study)
  • Matching is manual. Wrong consultants, wasted introductions
  • Duplicate RTRs sent to the same vendor. Damaged relationships
  • Zero audit trail. No compliance record, no activity visibility
  • No data on what's working. Decisions made entirely on feel
The Scale
12,000+
IT staffing firms in North America
~50
Vendor emails per rep per day, mostly unread
$18K
Average revenue per placement missed due to slow RTR
02 / 12
The Solution

JobSeam scores every consultant against every open req. Automatically, accurately, in seconds.

AI Match Results: Java Tech Lead · Remote · $75–85/hr
Arjun Mehta · 8 yrs exp.94%
Java 11Spring BootMicroservicesAWSKubernetes
Selin Yildiz · 6 yrs exp.87%
JavaSpringREST APIsGCP
Rafael Costa · 5 yrs exp.61%
JavaJ2EEHibernate
Exact + semantic scoring · Skills, seniority, location, rate, visa · 0.8s avg
How It Works
  • AI reads vendor emails and extracts structured req data automatically
  • Every consultant scored against every open req at once
  • Skill gaps identified: exact + semantic equivalence
  • One-click RTR directly from the match panel
  • Full audit trail: every action logged, timestamped
Before vs After
Before: 4 hrs scanning email, manual matching, missed reqs
After: Reqs auto-processed overnight, walk in to ranked matches
03 / 12
Workflow

From vendor email to sent RTR, in one unified flow.

📬
Req Arrives
Vendor emails land in a dedicated mailbox you configure. JobSeam polls it automatically. No browser tabs, no forwarding rules.
🤖
AI Extracts
LLM reads each email, extracts structured req data: title, skills, rate, location, visa. Multi-req emails split automatically.
✅
Approve
Reqs land in your Req Inbox for review. Set auto-approve rules by vendor domain or title pattern. Trusted sources flow through instantly.
⚡
Match & Score
Every consultant on your bench is scored against the req in seconds. Exact skill match + semantic equivalence: Java = J2EE, Spring Boot = Spring Framework.
📧
RTR Sent
One click sends a Right-to-Represent from the match panel. Auto-logged with timestamp, actor, and candidate. Full audit record.
⚡
Average time from email arrival to RTR sent: under 90 minutes: vs. 1–2 days manually when the req doesn't get lost entirely.
04 / 12
Platform

A complete bench sales operating system.

🤖
AI Job Matching
Score every consultant against every job. Exact + semantic skill equivalence. Seniority, rate, and visa filtering baked in.
📬
Email Req Ingestion
Dedicate a mailbox. JobSeam reads every vendor blast, extracts structured reqs, deduplicates, and routes for approval.
📊
Market Intelligence
Live job data across 10+ markets. Know which skills are trending, what rates are clearing, where the demand is moving.
📋
Full Audit Trail
Every scan, match, approval, and RTR logged. Timestamped, attributed, immutable. Ready for compliance review at any time.
👥
Consultant Profiles
Resume AI-parsed to structured skills graph. Notes, RTR history, submission tracking: per consultant, per vendor.
🏗
Team Structure
Groups, pods, role-based access. Each team sees their pipeline. Managers see across teams. Full org-chart mirroring.
🧠
AI Enrichment Pipeline
Every job posting and resume is processed by an LLM overnight. Raw text becomes structured fields: title, skills, rate, visa, location. Consultant profiles are parsed into skill graphs used directly by the matching engine.
🔐
Two-Factor Authentication
TOTP-based 2FA for every user account. Enable in Settings → Security. Short-lived session tokens. Access scoped by role at the API layer.
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Who It's For

Three deployment contexts. One platform.

🏢
Staffing & C2C Firms
Bench sales teams match consultants to vendor reqs. Email ingestion, AI scoring, one-click RTR, full audit trail. Reps stop triaging inboxes and start sending RTRs.
🎓
Universities & Training Institutes
Placement advisors match student cohorts to real job opportunities. Talent overview dashboard, cohort skill gap analysis, application tracking. Drive faster placement at scale.
🔍
Individual Job Seekers
Self-service mode. Add target jobs to your Req Inbox, see your AI match %, identify skill gaps, track every application status. Know exactly what to fix before you apply.
📞
Bench Sales / Placement Teams
Walk in to a list of matched talent already scored. One-click RTR or submission. No morning inbox triage. Focus on closing.
📊
Managers, Owners & Directors
Real-time pipeline dashboard. Full audit log. Team activity tracking across all pods. Decisions backed by data, not status meetings.
✦
Talent (Any Type)
See your match score. Get skill gap feedback from your advisor. Update resume, re-upload, watch your score improve. The complete coaching loop: complete.
Talent = student, consultant, or individual job seeker. The AI matching engine is the same regardless of context. Labels ("Students," "Consultants," "Trainees") are configurable per organization.
06 / 12
Traction & Validation

Built by insiders, validated by the market we know.

MVP
Full-featured v1 live in production
4+
Cohort management phases shipped
10K+
Jobs tracked across active markets
94%
Match speed improvement vs manual baseline
Core Modules Live
  • ✓ AI matching engine (exact + semantic)
  • ✓ Resume AI parsing pipeline
  • ✓ Market job crawler (10+ sources)
  • ✓ Consultant profiles + cohort management
  • ✓ RTR workflow + audit logging
  • ✓ Multi-team groups + role-based access
  • ✓ Email req ingestion (schema + poller design complete)
Built on Real Workflows
JobSeam was designed by people who've worked inside IT staffing firms. We know exactly what bench sales teams need because we've lived the problem. Every feature traces to a specific workflow pain point, not a guess.
"This is the tool we always wished existed when we were doing this manually."
07 / 12
Market Opportunity

Three markets. One platform with no direct AI-native competitor.

The IT staffing market is large (get a sourced figure before quoting a specific number publicly), and the bench-sales workflow has seen little meaningful software innovation in years. Beyond staffing, the same talent-matching engine could address a second market: training and education placement, where universities and bootcamps need similar AI matching to drive faster graduate placement (market size TBD — source before using).

  • Staffing TAM: [SOURCE NEEDED] IT staffing in North America — cite a specific report (e.g. ASA, SIA, IBISWorld) before using a number in front of investors or the public
  • SAM: [SOURCE NEEDED] mid-market staffing firms (10–500 employees) — show your calculation (TAM × addressable segment %) so it can be checked
  • Education TAM: [SOURCE NEEDED] training, bootcamp, and university placement
  • 12,000+ target staffing companies in North America alone
  • 15,000+ coding bootcamps, IT training institutes, and university CS/IT programs globally
  • No direct competitor purpose-built for AI talent matching across all three contexts
Competitive Position
Bullhorn / Ceipal / JobDiva
Enterprise ATS. Expensive. No AI matching. No bench-specific workflow. Built for inbound agency hiring, not outbound bench sales.
LinkedIn Recruiter
Candidate discovery, not bench-to-req matching. No vendor email integration. No RTR workflow. Pricing figure needs to be verified against the competitor’s current published pricing before use — quoting a competitor’s price incorrectly is a legal risk, not just a marketing one.
Spreadsheets + Email
Still a common default for many mid-market bench sales teams (specific % needs a source — do not publish a precise competitor-adoption figure without one). Our primary replacement target.
JobSeam
AI-native. Built for bench sales. Email ingestion + matching + RTR + audit. Priced for mid-market. No per-seat nonsense.
08 / 12
Business Model

Predictable SaaS revenue. Team-level pricing, not per-seat.

Starter
Small Team
$299/mo
Up to 5 sales reps · 200 consultants
  • AI Job Matching
  • Market Intelligence (2 markets)
  • Consultant Profiles + Resume Parsing
  • RTR Workflow + Audit Log
  • Email Req Ingestion (1 mailbox)
Most Popular →
Growth
$699/mo
Up to 15 sales reps · 1,000 consultants
  • Everything in Starter
  • 5 markets + custom market requests
  • Email Ingestion (5 mailboxes)
  • Cohort management + onboarding
  • Consultant Match (reverse matching)
  • Priority support
Enterprise
Agency
Custom
Unlimited reps and consultants
  • Everything in Growth
  • Unlimited markets + dedicated crawling
  • Unlimited email mailboxes
  • White-label option
  • Dedicated onboarding + CSM
  • SSO + API access
Annual plans get 2 months free · Implementation fee waived for first 50 customers
09 / 12
Go-to-Market

Three channels. Community-led. Compounding flywheel.

📱
Community & LinkedIn
Bench sales community is highly active on LinkedIn and WhatsApp groups. Target: group admins, active bench sales leaders, visa/C2C forums.
50 warm leads/month
🤝
Direct Outbound
Identify mid-market IT staffing firms via LinkedIn Sales Navigator. Target VPs of Operations, company founders. 12-touch sequence with ROI framing.
20 demos/month
🎯
Partner & Referral
Staffing consultants, immigration attorneys, and C2C facilitators serve the same customers. Revenue-sharing referral program. Each customer refers 2–3 peers.
Compounding CAC reduction
M1–3
10 pilot customers · Free · Feedback loop
M4–6
30 paying customers · $30K ARR
M7–12
100 customers · $120K ARR · Growth hire
Y2
500 customers · $750K ARR · Series A ready
10 / 12
The Ask

$500K seed round to reach 100 paying customers in 12 months.

We have the product, the market knowledge, and the technical foundation. We need capital to move from MVP-complete to market-proven: sales, customer success, and the email ingestion module that unlocks the full wedge.

40%
Sales & marketing: LinkedIn outbound, content, events
30%
Engineering: email ingestion, mobile-ready, API layer
20%
Customer success: onboarding, support, retention
10%
Ops: infrastructure, legal, reserve
Why Now
🌊 Macro Tailwind
H1B visa filings have been trending up (verify current data before using). The C2C/corp-to-corp staffing market appears to be growing (cite a source for a specific YoY % before using it). Bench sizes appear to be growing faster than sales team capacity in the firms we’ve talked to.
🤖 AI Moment
LLM inference costs have dropped substantially over the past couple of years (cite a specific source, e.g. a provider pricing page or published benchmark, before using a precise % or dollar figure). The unit economics for AI-at-scale have improved enough to make this kind of product viable.
🏗 Foundation Ready
We're not raising to build an MVP. The product is live. We're raising to put fuel on a fire that's already lit.
11 / 12
Let's Talk

Match every talent
to their best opportunity.

We're building the AI talent matching layer for three markets: IT staffing firms, universities placing graduates, and individuals owning their own job search. One platform, every context.

JobSeam · A Quezaal Product · quezaal.com
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