NewPeople Search
NewSignal Interview Engine V1.2

AI People Search
Built for Intelligence

Our proprietary AI system automatically discovers and ranks the best talent from 80 million+ profiles. Behind the scenes, it fetches candidates, maps competencies, and delivers comprehensive insights that other search engines can't match.

Search intelligence

People Intelligence Discovery

Our AI automatically fetches and analyzes 80M+ profiles, delivering complete candidate intelligence including LinkedIn, GitHub, skills, companies, and competency assessments - far beyond traditional search engines.
SYSTEM_STATUS: ACTIVE
QUERY_ID: qry_78a9d2f1LATENCY: 2.347s
> db.profiles.aggregate([
{ $match: { role: /growth.*lead/i, loc: "NY", exp: { $gte: 5 } } },
{ $lookup: { from: "skills", pipeline: [...neural_embed] } },
{ $vectorSearch: { dim: 1024, topK: 847, threshold: 0.85 } }
])
EXECUTION LOG:
00:00.123INDEX_SCAN → profiles_idx_role_loc (80,234,891 docs)
00:00.456NEURAL_EMBED → transformer_v4.2 (batch_size: 512)
00:01.201VECTOR_SEARCH → cosine_similarity (dim: 1024, matches: 2847)
00:01.789XGBOOST_RANK → feature_extract (35 signals, 847→234)
00:02.134FINAL_SCORE → ensemble_model (234→23 candidates)
00:02.347COMPLETE → result_cache_write (ttl: 3600s)
DOCS_SCANNED
80.2M
+0.3% vs avg
EMBED_TIME
0.745s
-12% latency
GPU_UTIL
87%
4x A100 80GB
CACHE_HIT
94.2%
optimal
PIPELINE EXECUTION:
S1
Search Index
elasticsearch_v8.12 | shards: 24
80.2M
0.123s
S2
Neural Embed
transformer_xlm_roberta | batch: 512
2,847
0.745s
S3
Vector Search
faiss_ivf | clusters: 4096 | probe: 64
847
0.456s
S4
XGBoost Rank
v2.0.3 | trees: 500 | depth: 8
234
0.588s
S5
Ensemble Score
weighted_blend | confidence: 0.947
23
0.435s
FEATURE_IMPORTANCE:
skill_vec
0.87
exp_match
0.73
culture_fit
0.68
growth_pot
0.61
SCORE_DISTRIBUTION:
score ≥ 9012 candidates
80 ≤ score < 908 candidates
70 ≤ score < 803 candidates
mean_score87.3
std_dev8.7
confidence0.947
AI Pipeline

Search at the Speed of Thought

A 5-stage pipeline that turns 80M+ profiles into prioritized people using neural models, semantic indexing and multi-factor ranking.
Search across 80M+ profiles
Initial filtering by role, location, and basic criteria
Neural Processing
Deep analysis of skills, experience, and competency levels
Semantic Search
Contextual understanding of role requirements and candidate fit
Rerank
Advanced ranking based on growth potential and cultural alignment
Final Scoring
Comprehensive scoring with confidence intervals

Distributed Search Engine

Our AI-powered search engine simultaneously queries multiple data sources including LinkedIn, GitHub, company databases, and professional networks to build a comprehensive initial people pool.

15+
Data Sources
1.2s
Search Speed
80M+
Profiles Scanned
24/7
Real-time Updates
Aisha Rahman
Growth Lead
Acme
92
Score
Rank #1
David Kim
Growth Hacker
TechStart
88
Score
Rank #2
Alex Rivera
Growth Lead
InnovateNY
85
Score
Rank #3
Ryan Patel
Growth Specialist
BoostInc
82
Score
Rank #4
Multi-source parallel querying
Real-time profile aggregation
Duplicate detection & merging

Multi-Modal Neural Analysis

Advanced transformer models analyze people profiles across multiple dimensions, extracting deep insights from work history, skills, projects, and achievements to assess competency levels.

2,847847
Profiles Processed

Capabilities

01
NLP-based skill extraction
02
Career trajectory analysis
03
Competency level assessment
04
Tech stack proficiency mapping
05
Leadership potential scoring
06
Growth velocity calculation
Aisha Rahman
Growth Lead
Acme
94
Score
Model Accuracy
99.7%
Skills Extracted
200+
David Kim
Growth Hacker
TechStart
91
Score
Model Accuracy
99.7%
Skills Extracted
200+
Alex Rivera
Growth Lead
InnovateNY
88
Score
Model Accuracy
99.7%
Skills Extracted
200+
Maya Chen
Growth Manager
ScaleUp
85
Score
Model Accuracy
99.7%
Skills Extracted
200+

Context-Aware Matching

Semantic embeddings understand the deeper meaning behind role requirements and people experiences, matching beyond keywords to capabilities and cultural fit.

97.2%
Semantic Accuracy
1024D
Context Vectors
0-1.0
Similarity Score
Custom
Embedding Model
Role requirement embedding
Candidate profile vectorization
Contextual similarity matching
Industry-specific understanding
Cultural fit prediction
Hidden skill discovery

Multi-Factor Reranking

Advanced machine learning models reassess people using signals including growth trajectory, impact potential, team dynamics, and long-term value prediction.

Ranking Factors35+
Model TypeXGBoost
Feature ImportanceAnalyzed
Confidence Level94%
·Growth potential modeling
·Team composition analysis
·Cultural alignment scoring
·Impact prediction

Reranked Results

1
Aisha Rahman
Growth Lead · Acme
Growth: HighFit: 97%Experience: 5+ yrs
97
Final Score
2
David Kim
Growth Hacker · TechStart
Growth: HighFit: 95%Experience: 5+ yrs
95
Final Score
3
Alex Rivera
Growth Lead · InnovateNY
Growth: HighFit: 92%Experience: 5+ yrs
92
Final Score
4
Ryan Patel
Growth Specialist · BoostInc
Growth: HighFit: 90%Experience: 5+ yrs
90
Final Score

Holistic Candidate Scoring

Final scoring combines all previous stage signals with validation checks, producing comprehensive people profiles with reasoning and confidence metrics.

99.9%
Final Accuracy
85-99%
Confidence Range
1
Aisha Rahman
Growth Lead
Acme
98
Overall Score
2
David Kim
Growth Hacker
TechStart
96
Overall Score
3
Alex Rivera
Growth Lead
InnovateNY
94
Overall Score
04
Ryan Patel
92
92
Skills
93
Experience
94
Culture
95
Growth
96
Leadership
97
Impact
Advanced features

Advanced Search Capabilities

Built exclusively for AI systems, our proprietary engine delivers unmatched depth and automation in talent discovery.

Proprietary AI Engine

Our custom-built AI engine processes 80M+ profiles with semantic indexing and vector databases, understanding context like no other search engine.

Intelligence Data Layer

Mapping competencies from our intelligence data layer, we create comprehensive people profiles with skills, experience, and potential fit.

ML-Powered Ranking

Fine-tuned models and re-ranking algorithms automatically surface the best people, learning from patterns in successful hires.

80M+ Profile Database

Massive proprietary index of professional profiles with real-time updates, far beyond what public search engines can access.

Automated Discovery

Behind-the-scenes AI automatically fetches and analyzes people, delivering comprehensive insights without manual intervention.

Internal AI Security

Enterprise-grade security designed for internal AI systems, with complete data control and privacy-first architecture.

[04] Faq

Your questions, answered

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