HireTap.ai
Semantic sourcing
Context-aware screening
Personalized outreach
Pipeline intelligence
Autonomous workflows

Automate your recruiting. Scale with ease.

Deploy specialized, autonomous AI agents that continuously discover, evaluate, and engage top talent matching your organization's exact context.

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Talent discovery workspace

Semantic search agent · live

RUNNING
React engineer with LLM product experience in London
12,480 profilesContext matchedEvidence verified
AM

Alex Mercer

Senior Frontend Engineer · Cortexa

96%

fit score

SC

Sophia Chen

Staff UI Engineer · Framewave

91%

fit score

JL

Jordan Lee

Product Engineer · Northstar

88%

fit score

Agent is refining the shortlistOpen workspace

Talent Discovery OSLIVE RUN

Agentic Command Center v1.8

Sourcing Agent: ACTIVE
Screening: PROCESSING
Outreach: DISPATCHING
SYSTEM SHELL ACTIVITY FEED
09:42:01SOURCING AGENTInitializing autonomous talent discovery pipeline...
09:42:03SOURCING AGENTExpanding search queries semantically for 'Senior LLM Engineer'...
09:42:06SOURCING AGENTScanned 18,420 profiles. Found 42 candidates matching context weight criteria.
Agent operations executing autonomously...
TARGET ROLE MATCH SCORE
12,480Profiles Scanned
Semantic fit > 85%1,402
Interview Ready124
Sourcing Output

AI agent is scanning LinkedIn, GitHub, internal pools, and databases.

THE RECRUITING OPERATING SYSTEM

One recruiting system. Four specialized agents.

HireTap replaces fragmented, multi-tool setups with a synchronized crew of specialized recruiting agents.

1. SOURCEAutonomous Discovery
2. SCREENContext Assessment
3. ENGAGEPersonalized Outreach
4. HIREPipeline Qualified

Autonomous Agent Flow Simulation

Watch candidate processing move horizontally on autopilot

Profile Loop:1 / 3 (Alex Mercer)
STAGE 1: DISCOVERSCANNING

Sourcing Agent Sentry

Autonomous crawler discovers matching candidate profiles from unstructured vectors.

AM
Alex Mercer

Senior Frontend Engineer @ Cortexa

ReactTypeScriptLLMsVector Caches
Pool vector resolution...
STAGE 2: EVALUATEWAITING

Screening Agent Analyst

Synthesizes codebases, roles duration, projects complexity, and credentials vector score.

Calculating credential weighting...
STAGE 3: ENGAGEWAITING

Outreach Agent Campaigner

Synthesizes hyper-personalized outbound copy utilizing vector evidence mapping.

Outbound sequence generation...
STAGE 4: SYNCWAITING

Workspace Synchronizer

Populates and archives matching profiles directly into your enterprise workspace.

AM
Alex Mercer
✓ Verified Fit
Workspace Synced
✓
Storing candidate profile...
ROUTING AUTOMATION

Branching Candidate Decision Engine

AI agents classify sourcing signals in real-time, routing prospects down distinct evaluation paths based on matching thresholds.

Tweak Routing Theme:
VELOCITYReal-time Sourcing
IMPACT+34% reply rate
THROUGHPUT250 leads / hour
SOURCED LEADS
Instant Outreach
Mail sequences sent to >90% fits
Social Nurture
Warm InMail sequences for 70–90% match fits

Sourcing Agent

Scouts passive candidates across tech networks, open-source directories, and internal ATS. Recognizes intent, context, and structural match.

Multi-channel profile stitching
Real-time capability mapping
Location & remote preference weight
Task Autonomy95%

Screening Agent

Evaluates projects, coding profiles, and professional credentials. Calculates fit based on experience duration, complexity, and technology depth.

Contextual role matching score
Experience depth verification
Skills gap analysis
Match Accuracy97%

Outreach Agent

Drafts hyper-targeted messaging built on a candidate's actual projects, commits, or experience. Delivers automated multi-step sequences.

Hyper-personalized email copy
Multi-channel contact pipelines
Response sentiment analysis
Engagement Rate42.6%
THE HIRING CONTROL PLANE

Every agent, one operating system.

Interact with the active agent network node to monitor telemetry diagnostics, trace neural logs, and toggle hardware speed settings.

Simulator Workbench

Select a role to deploy agents:

1. Sourcing Agent active

Discovering matches on open source databases

Discovered Profile Source Data:

AM
Alex Mercer
github.com/alex-m
Semantic Fit96% Score

"Evidence: Built streaming LLM UI components. Reduced token render lag by 34%."

Confidence82%

Processed

18,420

Queue

42 new signals

Agent state

Discovering

Live agent trace
Expanded semantic query
Scanned public profile signals
Found project evidence
Agent Matrix Engine · Verified Actions
OPERATING INSIGHTS

The pipeline gets smarter with every run.

Monitor key metrics inside our unified recruitment workspace. Faster talent pipelines, optimized.

Hiring Velocity
0.0×Faster candidate discovery
Qualified Pipeline
+0%Increase in qualified candidates
Outreach Response
0.0%Personalized outreach reply rate
Recruiter Time
0%Reduction in manual sourcing

Pipeline Stage Dropoff

1. Sourced12.4K candidates
11.3% moved to screening
2. Screened1,402 candidates
42.5% moved to engagement
3. Engaged596 candidates
20.8% converted to interviews
4. Interviewed124 candidates
Metrics calculated from enterprise platform test parameters. Individual recruiting results may vary depending on role constraints.

Autonomy with a human checkpoint

Agents continuously scout pipelines, analyze credentials, and coordinate schedules, running on autopilot 24/7 so you focus on late-stage interviews.

Evidence over keywords

Skip keyword searches. Our models map contextual fit, technology complexity, project depth, and industry signals to locate actual talent matches.

Governance built in

Review logs, inspect draft copy, tweak query weight constraints, and maintain full decision-making authority over matches and outgoing messages.

THE NEXT HIRE, ON AUTOPILOT

Turn recruiting intent into a qualified pipeline.

Deploy specialized, context-aware AI agents that discover, evaluate, and engage candidate pools at enterprise scale.