The AI hiring marketplace built on trust.

An agentic recruitment pipeline that sources, screens and scores AI trained candidates inside Slack. Every shortlist arrives with the reasoning behind it, so you can defend the hire.

As featured in & collaborating with

  • BSC AI Factory
  • Talent Arena
  • Norrsken
  • Red Cross
  • Juno House
  • AI Summit
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scores per candidate, each with its evidence

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pipeline stages, from brief to onboarding

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ranked names per shortlist

Seven AI agentsrun the hire,with a humanbehind every call.Every stepshows its work.

Meet Vega, Lyra’s AI agent. HR recruitment, finally simple.

The same pipeline, in three steps you can open.

Just Lyra's AI agent “VEGA” sources from its own marketplace of women who trained on AI with us, so skills are verified, not claimed. Screening and scoring run against one published fairness standard, drawn from EU AI Act bias-auditing work. The whole pipeline runs inside Slack, and every shortlist arrives with the reasoning attached.

Intake, sourcing and screening

You describe the role in Slack and get a ranked shortlist back. Names come first from the Lyra marketplace, women who trained on AI with us, so their skills are verified rather than asserted, and every name arrives with the reason it is on the list.

Sourcing, 4 names

    Candidate AVerified

    Trained on AI with Lyra. Shipped a payments SDK, async team

    Candidate BVerified

    Trained on AI with Lyra. Led platform at a Series B fintech

    Candidate CVerified

    Trained on AI with Lyra. Two internal design systems

    Candidate DExternal

    Strong OSS record, matched on signal

Hiring tools optimise for speed and volume. Nobody can explain the shortlist.

AI render from original photographer all credits to him: Justin Chung

The problem

A stack of near-identical CVs

More candidates arrive faster than ever, and not one of them comes with a reason to look closer.

What Lyra does

A reason attached to every name

Lyra scores each candidate on four axes and writes the reasoning in plain language, with a link to the evidence.

The problem

Shortlists you cannot defend

Ask why this candidate and not that one, and the honest answer is a keyword match and a gut feel.

What Lyra does

A shortlist that shows its work

Up to ten ranked names, each with experience, soft skills, cultural fit and AI literacy laid out, so you can defend the call in the debrief.

The problem

Context lost at every handoff

The brief, the sourcing notes, the interview feedback. Each stage starts from scratch and detail leaks out.

What Lyra does

One record, start to finish

Brief, shortlist, interview prep and scoring live on a single candidate record that every stage reads and adds to.

The problem

Screening that drifts

Two managers screen the same role against different bars on different days, and nobody notices.

What Lyra does

One rubric, applied the same way

Every candidate is measured against the same four axes drawn from the role brief, so the bar does not move between reviews.

The problem

Bias you cannot see

Informal screening hides the pattern in who gets advanced until it is a headline or a legal problem.

What Lyra does

Auditable against a published standard

Scoring is logged and measured against one published fairness standard, drawing on EU AI Act bias-auditing work, so the pipeline can be reviewed.

One pipeline, seen from every side.

Coming soon

Run the whole pipeline in Slack.

Post a role in a channel. Shortlists, scores and interview prep land in the thread.

lyra in #hiring-platformIllustrative, in build

You /lyra new role senior platform engineer, remote EU

Lyra

Brief drafted. 3 candidates on the shortlist, each scored on experience, soft skills, cultural fit and AI literacy. Open the panel or reply approve.

92
84
78
88
Illustrative product screen. The interface is in development.

One pipeline. One record.

Describe the role once. Get up to ten ranked names, each with the reasoning behind it.

brief ›

Shortlist, explained

3 to defend
  • Experience
  • Soft skills
  • Cultural fit
  • AI literacy
  • Candidate A92
  • Candidate B88
  • Candidate C84

Four scores, reasoning attached.

Experience, soft skills, cultural fit, AI literacy. Every number carries a plain reason and a link to the evidence, and the candidate sees the same panel.

How the scoring is researched

Candidate view

How a candidate is presented

Senior Platform Engineer

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Overall fit
  • Experience0/100

    Hard skills. Shipped a payments SDK and two internal design systems. Matches 9 of 11 must-haves; the gap is Kubernetes, which the brief marks nice-to-have.

  • Soft skills0/100

    Ran a team of 5 for three years. Structured answers in the screen, handled pushback without getting defensive, explains trade-offs clearly.

  • Cultural fit0/100

    Prefers async-first, written decisions, low-meeting weeks, which is how your team runs. Flag: wants quarterly in person, you are fully remote.

  • AI literacy0/100

    Trained on AI with Lyra. Uses agents in her daily workflow and can scope where automation helps and where a human stays in the loop.

Illustrative data. The candidate sees this panel too.

Women trained on AI, applying directly.

Lyra teaches women to use AI, then routes them straight to marketplace roles. Companies get access to those profiles.

See the talent side
A member of the Lyra talent network at work

Hire forward deployment engineers

The marketplace that helps you find forward deployment engineers, AI talent to advance your team with no technical debt. From long-term to short projects.

Forward deployed engineering is the fastest-growing role in tech. Lyra places one inside your team, month to month, and everything is documented so you can take it in-house whenever you want.

An engineer in your team from week one, not a statement of work in three months.

Autonomous agents that sit in the background of your business and act on their own: triage the shared inbox and draft replies, chase inbound leads the moment a form comes in, watch for the thing that breaks at 2am. A human stays in the loop on anything that cannot be undone.

Not a slide deck and not a sandbox demo. The engineer builds inside the tools you already run, wires the integrations, tunes the prompts to your data, and takes the workflow all the way to production. You own the code.

An FDE learns one company at a time: your systems, your data, the workarounds nobody wrote down. What gets built fits how your team actually operates, not a template.

Lead routing, reporting, document handling, support triage, syncing data between the tools you pay for. The recurring job that quietly costs a person a day, handed to a system that just runs.

Figures pulled out of scattered spreadsheets and SaaS tabs into a single view that refreshes itself. The weekly update stops being an afternoon of copy-paste.

Month to month, from a few hours a week. Everything is documented as it is built, walked through with your team, and yours to take in-house the day you want to. No retainer you cannot leave.

Talent trained on AI, ready to embed.

Product, design, engineering and delivery people from the Lyra network, each one working with agents day to day. AI native female talent and freelancers, hire by role or by project.

Dana Calbosa, Senior Product Manager
Patricia Prego, AI Product Designer
Aisha Yaseen, Forward Deployment Engineer
Freelance talent, Available by project
Freelance talent, Available by project

Simple pricing. You pay when a hire sticks.

Free

€0

Post a role and see your first match, at no cost.

  • Post free jobs
  • Scan 50 people for free
  • Get your first match
  • 12% success fee, charged only after a hire stays 3 months, so the guarantee is proven before you pay
  • Hire a good fit in under 9 days
Start for free

Growth

€550per month

More reach per role and a lower success fee.

  • Scan 100 profiles
  • 10 matches per job posting
  • Unlimited job postings
  • Reduced success fee
  • Hire a good fit in under 9 days
Start for free

Enterprise

Usage-basedVega credits

Run Vega, our AI recruiting agent, priced per credit.

  • Everything in Growth
  • Vega, the Lyra AI agent, metered per credit
  • Volume hiring across teams
  • Dedicated support and onboarding
Book a call

A hiring product with a talent network built for women in tech.

Just Lyra is built in residence at the Barcelona Supercomputing Center AI Factory. Its candidate network is a community of women in multiple business roles prepared by Lyra’s founders and AI experts to lead with AI transformation.

The Lyra AI foundersBarcelona Supercomputing Center AI Factory

Straight answers.

No. Lyra AI is an HR tech company that runs an agentic recruitment pipeline inside your existing tools. A recruiter verifies each match by hand today, which is the human-verification phase of a self-improving system.

Every shortlisted candidate is scored on experience, soft skills, cultural fit, and AI literacy. Each score carries a short plain-language explanation and a link to the evidence behind it, so a hiring manager can read and defend the decision.

Slack is the control layer. You describe a role, review shortlists, and read scoring without leaving the channel. A full management dashboard sits underneath for teams that want it. The Slack workflow is in development and marked coming soon.

The Lyra talent network is built for women in tech. Company-facing matching leads with signal, speed, and explainability. The candidate side is one toggle away on the same page.

Start free: describe one role and your ideal candidate in two fields. Lyra returns a first shortlist with the reasoning attached, and a person follows up to scope a pilot.

Describe one role. Get the right names, and the reason why.