Overwhelmed by Hundreds of CVs Inside Your ATS?
Recruitment teams waste 25+ hours weekly screening CVs. We build autonomous semantic screening engines with pgvector that evaluate resumes in under 8 seconds and generate instant candidate shortlists.
Why Boolean Keywords Cripple High-Value Recruitment Desks
Standard ATS software acts like a primitive search engine. It cannot understand career trajectories, seniority depth, or transferable technical competencies.
Boolean Keywords Miss Top-Tier Talent
Legacy ATS keyword filters match exact strings. If a senior engineer writes 'engineered distributed event-driven microservices' instead of 'Kafka', traditional keyword search marks them unqualified and discards them.
Keyword-Stuffed Resumes Bypass Basic Filters
Savvy applicants paste white-font keywords or AI-generated resumes to game ATS rankings, forcing senior recruiters to open and read hundreds of junk submissions manually.
Consultant Fatigue & Inconsistent Evaluation
After reviewing 50 CVs in an afternoon, recruiter attention drops significantly. Qualified applicants reviewed late in the day receive lower diligence than those opened in the morning.
Slow Shortlist Velocity (Losing Fees to Rivals)
Taking 3 to 5 business days to manually sift through 300+ applications means your competitors submit candidates first, securing interviews and closing high-margin placement fees.
Senior Fee Earners Buried in Admin Toil
Senior consultants charging £35–£60/hour are hired to build client relationships and close executive placements—not spend 25 hours a week clicking through PDF attachments.
Calculate Your Agency's Wasted CV Screening Payroll
Quantify the billable consultant hours and revenue burned on manual resume clicks instead of fee placements and client relationship development.
Reference Scenario: a Projected 25 Hours/Week Saved with Bullhorn AI Screening
A typical boutique UK technology recruitment desk handling 300+ candidate CVs weekly. Reference scenario built on real market data, not a LookADev client.
Eliminating Manual CV Review in Bullhorn ATS
The Operational Bottleneck:
In this scenario, 3 senior tech recruiters spend 25+ hours each week clicking through 300+ applicant CVs in Bullhorn. Legacy keyword search either discards strong self-taught engineers or floods consultant desks with irrelevant applications, slowing client shortlist delivery.
The Proposed System:
An autonomous semantic screening agent built on Next.js 15, PostgreSQL with pgvector, and direct Bullhorn REST API webhooks. Incoming CVs are parsed, embedded, and scored against active job specifications in under 8 seconds, syncing structured scorecards and candidate summaries directly back into Bullhorn.
How the Semantic Screening Engine Works
From raw PDF upload to an enriched Bullhorn candidate record in under 8 seconds without human intervention.
Document Ingestion
Incoming CVs (PDF, DOCX) from email, career pages, or Bullhorn webhooks are ingested and sanitized asynchronously.
pgvector Embeddings
High-dimensional vector embeddings map candidate experience against the job specification's semantic requirements.
Structured Evaluation Matrix
Deterministic LLM scoring extracts verified competencies, tenure, leadership scope, and flags missing prerequisites.
Bullhorn REST ATS Sync
Calculated scores, structured bullet summaries, and skill tags sync into Bullhorn candidate notes in under 8 seconds.
Manual Review vs. Legacy ATS vs. LookADev Semantic Agent
Why bespoke semantic screening delivers 10x the speed of manual review without the blind spots of regex keywords.
| Capability | Manual CV Review | Legacy ATS Keywords | LookADev Semantic Agent |
|---|---|---|---|
| Evaluation Speed per CV | 3 to 5 minutes | Instant, but rigid regex | < 8 seconds (Deep Semantic Analysis) |
| Understanding of Context & Synonyms | High, but fatigue-prone | Zero (Exact string matches only) | 100% Contextual Vector Embeddings |
| Vulnerability to Keyword Stuffing | Moderate (wastes recruiter time) | High (Easily tricked by spam) | Zero (Verifies depth, tenure & achievements) |
| Bi-directional Bullhorn / ATS Sync | Manual copy-paste of notes | Basic field updates | Automated Scorecards, Tags & Summaries |
| Senior Recruiter Capacity Recaptured | 0 hours | 2–3 hours (creates false rejections) | 25+ hours / week per desk |
| Ongoing Per-Seat Software Fees | £0 (Wasted salary instead) | £80–£180/seat/month | £0 / Bespoke IP (You Own the System) |
From Discovery to Live Bullhorn Sync in 10 Days
A non-disruptive, production-tested delivery protocol designed specifically for busy recruitment agencies.
Bullhorn ATS & Inbound Pipeline Audit
We map your job specification taxonomies, candidate intake channels (LinkedIn, email, job boards), and Bullhorn REST API endpoints to establish custom evaluation criteria.
pgvector Semantic Index & Parsing Engine
We deploy high-dimensional vector embeddings in PostgreSQL to parse CV text, match transferable skills, and structure candidate career milestones into clean JSON schemas.
Shadow Scoring & Recruiter Calibration
The AI agent scores incoming candidate batches in parallel with your senior consultants. We fine-tune ranking thresholds until scoring matches 95%+ of senior recruiter judgement.
Live Bullhorn Sync & Recruiter Cockpit
Full automated sync goes live. Candidate scorecards, skill tags, and match percentages sync directly into Bullhorn within 8 seconds of submission. Zero disruption.
Ready to Stop Burning Recruiter Hours on Manual Triage?
Run a 3-minute diagnosis of your recruitment triage. Get the bottleneck plus a 7-day correction plan — paid diagnosis, credited toward your Sprint.