
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.

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scores per candidate, each with its evidence
pipeline stages, from brief to onboarding
ranked names per shortlist
Seven AI agentsrun the hire,with a humanbehind every call.Every stepshows its work.

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
Trained on AI with Lyra. Shipped a payments SDK, async team
Trained on AI with Lyra. Led platform at a Series B fintech
Trained on AI with Lyra. Two internal design systems
Strong OSS record, matched on signal
AI render from original photographer all credits to him: Justin Chung
The problem
More candidates arrive faster than ever, and not one of them comes with a reason to look closer.

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

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

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

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

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

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

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

What Lyra does
Scoring is logged and measured against one published fairness standard, drawing on EU AI Act bias-auditing work, so the pipeline can be reviewed.
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.
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.
Post a role and see your first match, at no cost.
More reach per role and a lower success fee.
Run Vega, our AI recruiting agent, priced per credit.
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.


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.

Lyra reads your projects, experience and skills. Then it shows you the roles you actually fit, with every score explained in plain English.
Try the swipe
Every role you see comes with the full reasoning. Skip, save, or apply, and watch each score change as you build experience on-platform.
Acme Studio · Remote, EU
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The problem
Pattern-matched CVs. Quiet networks. Filters no one can see. The women losing the most are the ones who would be best at the job.
of women say they don't apply because they don't meet every requirement on paper.
report being filtered out of roles before a human ever reads their CV.
platforms tell you which AI skills unlock your next role, and which roles your experience already fits.
The manifesto
You don't need another platform ranking you on keywords. You need a system that reads what you've actually done. The projects shipped, the teams led, the outcomes proven. And tells you, in plain language, which roles fit and which AI skills will get you the rest.
That's Lyra. Real matches. Four visible scores. A short course tied to every gap. Your career, on your terms, with AI working for you instead of against you.

How it works
Like dating apps for jobs, but the algorithm shows its working. You see what it sees, and you can change the score.
Drop in a CV or talk us through your experience. We extract every skill, project, and outcome. Your story, structured.
See roles ranked by your true fit. Every match shows the four scores behind the percentage. Nothing hidden.
Missing an AI skill the role needs? Take the bite-sized course in-platform and watch your match score lift in real time.
On your side
Most job platforms keep the scoring hidden. You guess, they decide. Lyra flips that. You read every score, you see the reasoning, and you choose what to improve next.

Principle 01
Every match comes with the four scores and a plain-English paragraph behind each one. No mystery percentage, no black box.

Principle 02
Every claim Lyra makes about you points back to the receipt. The project, the artefact, the role. You can correct anything, anytime.

Principle 03
Want a senior ML role? Lyra shows the exact skills you're missing and a course that closes the gap. Your career moves the way you choose.

Principle 04
Your profile is anonymous-by-default. Reveal yourself when you're ready to interview. Delete everything in one click.

Upskill in-platform
Every role tells you which skills you're missing and offers a short course tied to that exact requirement. Finish it, your score updates the same day.
Acme Studio
Skills, not slogans
Pick the role you're aiming at. Lyra shows you the lessons that move your match. AI applied to your field, and the human skills the algorithm still rewards.
What are you working toward?
Your path
Every lesson is short, evidence-led, and tied to a real signal in your match score.

Ship a working prototype in an afternoon, and stop waiting for engineering bandwidth to test an idea.
Built for both sides
Stop tailoring your CV for an algorithm you can't see. Show up as you are; raise your match through skills, not keywords.
Match on real signal. Projects shipped, skills verified, working style. Reach candidates your keyword filter quietly passed over.
In the wild
Founder have been building community and AI education in public



Create your profile and start seeing the roles and projects you actually fit, with every score explained.