Can it screen for technical roles?

Yes. Criteria can include technical experience, GitHub signals, domain fit, and role-specific requirements.

Does it replace recruiters?

No. It removes repetitive sourcing and screening work so recruiters spend more time with qualified candidates.

Can we test before a full rollout?

Yes. We usually start with a controlled candidate sample.

Which ATS systems are supported?

ATS integration is scoped during discovery based on your stack.

✦+✦

AI agent that finds the right candidates faster

From smart sourcing to first interview coordination, without manual overload.

Book a free call How it works

● Live

Active 24/7

Up to 0%

Shorter time to hire

Hours saved per 3,000 candidates

0/7

Always-on talent discovery

✦

✦The problem

Why now?

Recruiters spend hours manually searching LinkedIn and cross-checking profiles instead of speaking with the right candidates.

Strong candidates are lost when discovery, screening, and outreach move too slowly.

Reliance on agencies and manual searches increases hiring cost and makes recruiting hard to scale.

AI sourcing is becoming the operating standard for fast, consistent top-of-funnel recruiting.

+The solution

What you get

A multi-agent sourcing system that discovers candidates, enriches profiles, scores fit, and creates personalized outreach from your own accounts.

Role intake model

Structured criteria for must-haves, nice-to-haves, risks, and scoring.

Candidate enrichment

LinkedIn, CV, GitHub, and ATS data consolidated into one profile.

Scored candidate report

Fit score, strengths, risks, and recommended next action.

Best for:Growth-stage tech companiesTeams hiring for multiple rolesRecruiters who need more qualified conversations

Replaces:Manual sourcingRepetitive screeningGeneric candidate outreach

+✦

+How we work

Discovery, MVP, optimization

We start with the workflow and ship working components in phases.

Intake

Define role criteria, required signals, exclusion logic, and outreach tone.

Discover

Search relevant sources and build candidate lists.

Score

Enrich profiles, score fit, and explain strengths and risks.

Engage

Draft personalized outreach and sync qualified profiles to the ATS.

✦

✦Capabilities

Recruiting automation with control

Multi-source discovery

Finds candidates across approved sources and search strategies.

Candidate enrichment

Combines public profile data, resume signals, and ATS context.

Fit scoring

Scores candidates against role-specific criteria with explanations.

Personalized outreach

Creates outreach drafts tailored to candidate background and role fit.

✦+✦+

✦Start with one workflow

Make sourcing consistent, fast, and measurable

Start with one role and a controlled candidate sample.

Book a free call

Free AI consultation call.

✦

✦The team

Strategy and engineering in one room

AI strategy, product thinking, data engineering, and agent architecture working together.

Ronen Horen

Chief AI Officer

AI architect connecting strategy to measurable outcomes. A member of the founding team of Google Israel, with 25 years building data-driven growth engines and more than 700 successful collaborations with leading companies.

Ron Fux

Chief AI Engineer

Applied Mathematics and AI specialist with an MSc from Tel Aviv University. Ron translates complex model theory and business logic into production-grade multi-agent systems that teams can actually run.

✦

✦FAQ

Common questions

✦+✦+

✦AI Sourcing Agent

Find better candidates with less manual work

We will map the first role and candidate workflow worth automating.

Book a free call

Free consultation call.