AI talent infrastructure for DACH tech scale-ups

Build your shortlist.
Not your search.

tamo.ai searches the talent market, evaluates every relevant profile against your actual requirements and reaches the best candidates from your own LinkedIn account — from one hiring brief.

Evaluated candidates, not a hit listLinkedIn outreach built inYou approve every message
tamo.ai / new search LinkedIn connected

The problem

Hiring shouldn't require hours of manual sourcing.

Most Talent Acquisition teams still spend hours translating job descriptions into searches, browsing hundreds of profiles and manually deciding who might fit.

tamo.ai does the sourcing work between the hiring brief and the conversation.

Traditional sourcing

Manual
  1. Job brief
  2. LinkedIn searches
  3. Hundreds of profiles
  4. Manual screening
  5. Spreadsheet shortlist
  6. Messages
  7. Follow-ups
  8. Reply tracking

Time

10–30 hours per role

With tamo.ai

Automated
  1. Describe the role
  2. Review your ranked talent market
  3. Approve who you want to reach
  4. tamo.ai handles the outreach

Time

Minutes of your time

Delivery, not features

Per user and month: up to 25 searches and 500 contacted candidates.

01

An evaluated shortlist per role

Every candidate with a score, three reasons for the fit and the open questions — not "80 % match", but why.

02

Outreach from your own account

Connection request and first message from your own LinkedIn profile, not from a third-party sender. Candidates reply to you.

03

Replies in one place

Every reply lands in tamo.ai, with your reply templates next to it. No switching between five tabs.

04

You decide

Nothing is sent before you approve the list. Block list for clients, partners and sister companies.

How it works

One job description. One ranked talent market.

01

Describe the role

Paste the job description or simply tell the AI who you're looking for.

Senior Backend Engineer, Vienna, Go / Kubernetes
Paste JDPrompt
02

The agent builds the search

The AI identifies titles, skills, seniority, industries, location, company background, commercial criteria and exclusion criteria.

TitlesSkillsSeniorityIndustriesLocationCompany backgroundCommercial criteriaExclusions
03

The market gets searched

Candidate profiles are identified, enriched and analyzed automatically.

Market coverage92%
Profiles enriched413
Signals evaluated27
04

Get your shortlist

Every candidate is ranked against your actual hiring criteria. No CV keyword matching — real contextual candidate evaluation.

Anna Müller94%
Jonas Weber91%
Lena Fischer88%

The data layer

The talent data layer for DACH tech.

A database gives you profiles. tamo.ai tells you who matters.

We combine fragmented professional and company data into one talent layer and turn it into recruiting intelligence that understands local job titles, company backgrounds and career patterns across Germany, Austria and Switzerland.

35+ fragmented datasets
Identity & profile resolution
Unified talent layer
DACH recruiting intelligence
Role-specific AI evaluation
Ranked candidates
Outreach

1.2B

professional profiles

35+

datasets

7+ years

DACH recruiting experience

Execution

From approved candidate to started conversation.

Messages are personalized using the role, candidate profile and relevant career signals.

Ready for outreach

LinkedIn connected

Approved candidates only. Nothing is sent until you activate the campaign.

  1. 01Connection request
  2. 02Follow-up 1
  3. 03Follow-up 2
  4. 04Final follow-up

Candidate status

  • Anna MüllerReplied
  • Jonas WeberConnected
  • Lena FischerMessage sent
  • Paul BrandtConnection sent
  • Sara KellerQueued
  • Nico BauerApproved

Anna replied — sequence automatically stopped.

Comparison

LinkedIn gives you a database. We give you candidates.

LinkedIn Recruiter

  • Search interface
  • Filters
  • Manual profile review
  • Manual ranking
  • Manual sourcing strategy
  • Manual lists

tamo.ai

  • Understands the job
  • Builds the search strategy
  • Searches multiple talent signals
  • Analyzes candidates
  • Ranks candidates
  • Explains every match
  • Creates the shortlist

LinkedIn Recruiter helps you search.
We do the searching for you.

Who it's for

For tech scale-ups in DACH with an ongoing hiring pipeline.

Founders

Stop paying €20,000 agency fees per hire without spending evenings on LinkedIn.

Two engineering hires this year: one hiring brief each, shortlists reviewed on a Sunday in fifteen minutes.

Head of People / Head of HR

Increase hiring capacity without growing the team.

Eight open roles across product and go-to-market, run by the same two people who ran three before.

Talent Acquisition Managers and Recruiters

Drop the sourcing hours and spend the time in conversations with candidates.

A Senior Backend Engineer search: shortlist and outreach handled by tamo.ai, first calls booked the same week.

Same tool, three reasons.

Pricing

€2,000 per user per month.

No setup fee. Each user connects their own LinkedIn account and has their own monthly allowance.

LinkedIn Recruiter

around €1,000 per seat per month

You geta search box.

You dosearching, reading, evaluating, messaging, following up.

Recruiting agency

20–25 % of annual salary per hire

You getcandidates for one role.

You payat a €90k salary, around €22,000 — per hire, every time.

tamo.ai

tamo.ai

€2,000 per user per month

You getevaluated shortlists and the outreach, for every role.

You doapprove and talk to candidates.

At five hires a year, tamo.ai costs around €4,800 per hire. An agency charges four times that for the same role.

Pilot

30 days, one role, one user. €2,000. Then you decide.

  • You give us one open role, we set everything up together.
  • After 30 days you see: candidates found, contacted, replied, in conversation.
  • Continue, expand or stop — no term.
Request a pilot

Economics

Increase hiring capacity. Not recruiting headcount.

Scaling a hiring plan usually means scaling sourcing cost — more roles, more recruiters, more agencies.

Let your recruiting team recruit. Let tamo.ai do the sourcing.

ROI calculator

Your recruiting economics

See how much recruiting infrastructure tamo.ai could replace.

Open roles per year6 roles
150
Average annual salary90.000 €
40.000200.000
Users1 user
110
Average agency fee25 %
1530

Traditional recruiting infrastructure

Estimate

Agency fees

6 × 90.000 € × 25 %

135.000 €

LinkedIn Recruiter

1 × 12.000 € per user and year

12.000 €

Job advertising

600 € average cost per role

3.600 €

Total estimated recruiting cost

150.600 €

Annual tamo.ai subscription

24.000 €

1 × 2.000 € / user / month

Estimated annual savings

126.600 €

84 % lower recruiting cost

Cost per hire with tamo.ai

4.000 €

tamo.ai pays for itself after approximately 1 hire

Illustrative estimate based on selected hiring volume and recruiting assumptions. Actual costs and savings vary by company.

Why this works

Built by recruiters. Not by people who discovered recruiting last year.

We spent six years as a recruiting firm filling exactly the roles you will use tamo.ai for. The evaluation logic is calibrated on several hundred real searches — not on keywords.

Great sourcing isn't about finding more profiles. It's about knowing which profiles matter.

7+ years

DACH recruiting experience

120+

companies supported

Referral program

Know a scale-up that is hiring hard right now?

Refer another startup to tamo.ai. If they become a customer, you both receive 2.000 € in tamo.ai credits.

Refer a startup

2.000 €

2.000 € for you. 2.000 € for them.

tamo.ai Managed Search

On request

For roles where nobody on the team has capacity

Our recruiting team in Vienna runs the search in tamo.ai for you — calibration, outreach, first conversations. Same software, we operate it. On request.

Talk to us

From job description to candidate conversation.

Search 1.2B professional profiles across 35+ datasets, identify the best candidates and reach them automatically.

Start searching

Built for DACH startups and scale-ups.