Decorative grid pattern background for Talent Sourcer AI hero section

AI sourcing without the black box - research to outreach, 10-100x faster

Research the market, build the briefing, check candidates, enrich contacts, and personalize outreach from one connected workflow. You stay in control of every decision.

Talent Sourcer AI connects the work that usually lives across tabs, spreadsheets, enrichment tools, and outreach platforms.

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Watch the workflow: from role intake to qualified shortlist and personalized outreach.

A sourcing project should not require five tools and ten repeated explanations.

Most sourcing work is scattered across tabs, spreadsheets, notes, enrichment tools, and outreach platforms. Every handoff loses context. Talent Sourcer AI keeps the context connected while your recruiters stay in control.

Black-box AI
  • Press a button
  • Hope the candidates are right
  • Trust unexplained scores
  • Send generic messages
Talent Sourcer AI
  • Define the market
  • Approve the briefing
  • Inspect the evidence
  • Review enrichment and outreach
10-100x
Faster sourcing tasks
16h→10m
Candidate review time reduction
1
Connected workflow from research to outreach
0
Black-box decisions without recruiter review
Jasmin Tecson
Jasmin Tecson
Teamlead Scout & Screen, Talmore+
"The custom AI filters are a game-changer. We can now evaluate candidates against complex requirements while keeping full control over the final shortlist."
Seby Pelaez
Seby Pelaez
Co-Founder, The Troops
"Talent Sourcer AI has transformed our recruitment process. We can review hundreds of candidates in minutes, not hours, and spend more time with the people most likely to convert."
Klaus Preschle
Klaus Preschle
Senior Advisor RPO/BPO, TalentHero
"Finally, a tool that understands professional recruiters. The AI gives us structure and speed without taking judgment away from the team."

One AI workspace for the full sourcing cycle

Every step creates context for the next one, so outreach is based on actual research, not generic AI guesses.

Map the market before you search

Build research canvases for target companies, talent pools, competitors, hiring signals, and adjacent markets.

Output: target map and sourcing angles

Turn intake calls into structured briefings

Use chat or guided voice intake to turn messy requirements into must-haves, nice-to-haves, weights, and scoring logic.

Output: recruiter-approved evaluation rubric

Review candidates with transparent evidence

Apply your criteria consistently with A/B/C categories, confidence scores, and reasoning your team can inspect.

Output: ranked shortlist with evidence

Find contact data for the right people

Prioritize qualified candidates first, then enrich professional contact data for the people worth contacting.

Output: outreach-ready candidate records

Personalize outreach from real context

Launch multi-channel campaigns using role, company, candidate, and research context instead of generic templates.

Output: reviewed campaign drafts and sequences

Every step makes the next one smarter

Every step feeds the next: research informs the briefing, the briefing drives candidate checks, candidate evidence guides enrichment priorities, and all of that context becomes personalized outreach that feels researched instead of generic.

Research canvas
Approved briefing
Evidence-backed shortlist
Enriched contacts
Personalized sequence

Want the numbers?

Use the ROI calculator to estimate time saved, cost savings, and placement upside for your team.

Stage 1: Research canvases

Know the market before you message it

Map target companies, adjacent competitors, funding stage, hiring signals, talent pools, and candidate background before the project turns into outreach. The research canvas becomes the source of truth for the rest of the workflow.

  • Target company and competitor mapping
  • Funding stage and hiring signal analysis
  • Talent pool and market context
  • Research that feeds briefings and outreach

Research Canvas

Market mapped
Target segment
Series B-D fintech platforms
Adjacent markets
Payments, risk, embedded finance
Hiring signal
Scaling product engineering
Talent angle
Frontend leads with regulated product experience
Sourcing angles
Prioritize engineers from fintech infrastructure companies that scaled design systems across multiple product squads.
Stage 2: Briefing generation

Turn intake calls into sourcing-ready briefings

Capture requirements by chat or voice. Talent Sourcer AI turns unstructured role context into must-haves, nice-to-haves, weighting, company background signals, and evaluation logic your team can approve before any candidate is scored.

  • Guided voice and chat intake
  • Recruiter-approved scoring criteria
  • Must-have vs nice-to-have weighting
  • Company and market context captured upfront

AI Requirements Agent

Active Session
Senior Frontend Engineer - Fintech
TypeScript
Next.js
+ Add
AI Confidence92%

Candidate Evaluation

1,247 candidates
Filter
SC
A
Sarah ChenStripe
95%2m ago

Senior Frontend Engineer

All must-haves + 3 nice-to-haves
MJ
B
Mike JohnsonPlaid
87%3m ago

Frontend Lead

All must-haves + 1 nice-to-have
AK
C
Alex KimCoinbase
78%5m ago

Software Engineer

All must-haves only
Stage 3: Candidate checks

Check candidates without losing your standards

You define the criteria. Talent Sourcer AI applies them consistently, shows the reasoning, and gives your team an evidence-backed shortlist to review instead of a black-box score.

  • A/B/C and No Fit categorization
  • Detailed reasoning for every assessment
  • Confidence scores your team can inspect
  • Shortlist outputs that fit your ATS/CRM workflow
Stages 4-5: Enrichment and outreach

Enrich only the candidates worth contacting

Once the shortlist is evidence-backed, enrich contact data for the right people and launch multi-channel outreach that uses the full project context: research canvas, briefing, company signals, and candidate evidence.

  • Prioritized contact data enrichment
  • Campaigns based on role and candidate context
  • Recruiter review before messages go out
  • Connected reply tracking for active campaigns

Outreach Campaign

Ready for Review
Candidate:
Sarah Chen
Channel:
Email + Inbox
Contact data:
Verified
Campaign:
Frontend Lead
Personalization:
Role + company context
Status:
Awaiting approval
Personalization basis:
Fintech infrastructure background, design-system leadership, Series B-D target market, and prior experience scaling product teams.
Draft opener:
Your work on fintech design systems stood out, especially because this role needs someone who has scaled frontend standards across multiple product squads.
EnrichedRecruiter approval required

Why Professional Recruiters Choose Talent Sourcer AI

Talent Sourcer AI is built for recruiters who want leverage, not a replacement. You keep the judgment; the system removes handoffs, repetition, and blank-page work.

Fewer handoffs between tools

Research, briefing, candidate review, enrichment, and outreach share the same context.

Briefings your team can trust

Turn intake into explicit criteria before AI evaluates anyone.

Shortlists backed by evidence

Every recommendation includes reasoning, not just a score.

Enrichment after prioritization

Find contact data for the candidates worth contacting, not everyone in a spreadsheet.

Outreach that uses real context

Personalization is based on the role, research canvas, company context, and candidate evidence.

Recruiters stay in control

You approve strategy, criteria, shortlists, enrichment, and campaign messaging.

The workflow problems we solve for professional recruiters

Most sourcing workflows lose context at every handoff. Research lives in one place, briefings in another, candidate notes in a spreadsheet, enrichment somewhere else, and outreach starts from a blank template.

Context scattered across tools

Every handoff forces recruiters to re-explain the role, market, and candidate rationale.

Messy intake becomes weak searches

Unstructured requirements turn into vague criteria that are hard to apply consistently.

Candidate review does not scale

Manual review slows down once a project has hundreds or thousands of profiles.

Research rarely reaches outreach

Market insights and company context get lost before they improve the message.

Enrichment happens too early

Teams waste credits and effort enriching people before they know who is actually worth contacting.

Generic outreach underperforms

Messages sound templated when they are detached from the briefing, evidence, and research.

Use the full workflow, or start where the bottleneck is.

Some teams start with briefing generation. Others begin with candidate checks, enrichment, or outreach. Talent Sourcer AI is modular enough to solve the immediate bottleneck, then expand into a connected sourcing operating system.

Start with research when the market is unclear
Start with briefings when intake quality is inconsistent
Start with candidate checks when review volume is too high
Start with enrichment when credits are being wasted
Start with outreach when personalization is the bottleneck

Frequently Asked Questions

Is Talent Sourcer AI a black-box sourcing agent?

No. Recruiters define the strategy, approve the criteria, inspect candidate evidence, choose who gets enriched, and review outreach. The AI accelerates the work between decisions.

How does it fit into my sourcing workflow?

Use Talent Sourcer AI to connect research, briefing generation, candidate checks, contact enrichment, and personalized outreach in one workflow. You can adopt the full flow or start with one stage.

Can I edit AI-generated briefings and outreach?

Yes. Briefings, scoring criteria, shortlists, contact enrichment choices, and outreach drafts are reviewable before your team acts on them.

How does AI personalization avoid sounding generic?

Personalization is generated from the research canvas, role briefing, candidate evidence, company context, and campaign goal instead of a standalone template prompt.

What happens during candidate checks?

Talent Sourcer AI applies your approved criteria, categorizes candidates into A/B/C/No Fit, and provides reasoning and confidence scores for review.

Do recruiters approve outreach before it is sent?

Yes. Outreach drafts, campaign timing, channels, and messaging can be reviewed before your team sends or activates campaigns.

Can I use only part of the workflow?

Yes. Teams can start with research, briefing generation, candidate checks, enrichment, or outreach depending on where the current bottleneck is.

How do you handle contact enrichment and outreach compliance?

Teams control who is enriched, which channels are used, and what gets sent. Outreach workflows should be configured according to your internal policies and applicable sending rules.

Do you support multi-channel outreach?

Yes. Talent Sourcer AI supports context-rich campaign workflows and connected inboxes so teams can review, send, and track outreach from the same sourcing context.

Keep control. Move 10-100x faster.

See how Talent Sourcer AI turns research, briefing, candidate checks, enrichment, and outreach into one connected workflow your recruiters still control.