# Metix AI > Metix AI is the customer-facing recruiting product and brand operated by OpenJobs AI Inc. Its autonomous AI recruiter, Mira, sources, engages, and books qualified interviews on real roles across 860M+ profiles. You pay per interested, hire-ready candidate (a "credit"), not per seat or per click; if a candidate is not worth meeting, you don't spend the credit. A free 14-day trial with 3 New Roles and 12 Credits is available. ## Pages - [Home](https://metix.ai/): Product overview covering how Mira works, results, reasoning, control, the interview engine, pricing, fit, and FAQ. - [Pricing](https://metix.ai/pricing): Free 14-day trial with 3 New Roles and 12 Credits; plans from $49 to $299/month (10% off annually). A credit is a person, not a click: it unlocks one interested, hire-ready candidate, and if they're not worth meeting you don't spend it. - [FAQ](https://metix.ai/faq): Common questions on what Metix AI is, pricing and credits, trial, speed, legitimacy, and how Metix integrates via the Metix Platform API key. - [Features](https://metix.ai/features): What the Metix AI platform does, feature by feature, each page grounded in our published research. - [Mira, an AI recruiter that runs the whole loop](https://metix.ai/features/ai-recruiter): Feature page for Mira, the Metix AI recruiter: the five-sub-agent pipeline runs sourcing, outreach, screening, and scheduling end to end, with a delivery team review before candidates reach the employer. - [Semantic sourcing across 860M profiles](https://metix.ai/features/ai-sourcing): Feature page for Metix AI semantic sourcing: embedding-based matching over 860M+ profiles in 190+ countries, measured in mira-embeddings-v1 (Recall@50 68.89% to 77.55% over a general-purpose baseline), honest that the expected gains concentrate on long-tail roles. - [Interviews booked on your calendar, not another list to work through](https://metix.ai/features/interview-scheduling): Feature page for Metix AI interview scheduling: why scheduling is one of the leakiest stages of hiring, and how Mira books interviews directly on the employer calendar, with 95% of roles seeing a first interview scheduled within 24 hours. - [You pay for candidates worth meeting, not for seats](https://metix.ai/features/outcome-pricing): Feature page for Metix AI outcome pricing: the credit mechanism, the no-charge rule when nobody clears the bar, and plans from $49 to $299 a month. - [Built for](https://metix.ai/built-for): Hiring by situation: founders with no recruiter, search firms, engineering teams, and cross-border hiring without a local entity. - [Hiring when nobody on the team owns recruiting](https://metix.ai/built-for/founders): Built-for page for founders and small teams with no recruiter: why hiring stalls when the search is run in the gaps between other jobs, what parts of the loop stay with the employer when Mira runs it (role brief, outreach approval, hiring bar, the interviews themselves), and how outcome pricing at $49/month for 3 interview-ready candidates on 1 active role changes the risk compared with seats and retainers. - [What an AI recruiter changes for a search firm](https://metix.ai/built-for/recruiting-agencies): Built-for page for recruiting and search firms: which parts of agency work an AI recruiter compresses (sourcing, first outreach, screening, scheduling) and which it cannot touch (client trust, intake judgment, offer management), how per-delivery pricing sits under a contingency or retained fee, and where the published agency fee benchmarks on this site come from. Argues the correct unit of comparison is cost per delivered interview, not cost per seat. - [Engineering roles that stay open too long](https://metix.ai/built-for/tech-companies): Built-for page for engineering teams: why technical roles stay open when candidate supply is mappable (this site's reports x-ray 56,861 engineering and research professionals across 15 U.S. AI-compute and chip companies, and full-population profiles of OpenAI and Anthropic), why the real constraint is evaluation cost paid in senior engineer hours, how semantic retrieval tuned on recruitment data (Recall@50 68.89% to 77.55% in the Mira-Embeddings-V1 study) narrows the pool before humans spend time, and what screening evidence arrives with each booked interview. - [Hiring across borders without setting up an entity](https://metix.ai/built-for/global-hiring): Built-for page for cross-border hiring: why international searches fail at the employment step rather than the sourcing step, how sourcing across 190+ countries pairs with the Metix AI and Deel strategic partnership so a hire connects to compliant employment and payroll in 130+ countries without the employer opening a local entity, and what the offer-to-payroll handoff chain looks like. The acceptance-criteria page for the cross-border recruiting scenario in the content plan. - [Research](https://metix.ai/research): Research team work on AI-powered recruiting, semantic matching, and the future of work. - [Mira: The First End-to-End AI Recruiter](https://metix.ai/research/mira-end-to-end-ai-recruiter): System report on how Mira is designed from the ground up — five specialized sub-agents (ICP, Search, Match, Engage, and a cross-cutting Evaluation agent), a unified talent graph of over one billion publicly sourced profiles, and two in-house fine-tuned models; the recruiting-native embedding model lifted the primary business metric over 40% and cut operational cost per qualified, interested candidate more than 90% versus a general-purpose baseline. - [Agent Evaluation, Done Right](https://metix.ai/research/agent-evaluation-done-right): Engineering note on evaluating production agent systems: research-style testing over unit testing, component/trajectory/outcome levels, golden sets, rule checks with calibrated LLM judges, online evaluation, and evaluation wired into CI. - [Performance Drift in Agent Systems](https://metix.ai/research/agent-performance-drift): Engineering note on why production agent systems drift across prompt, architecture, evaluation, and context layers, and how to manage that drift. - [Mira-Embeddings-V1: Domain-Adapted Semantic Reranking for Recruitment via LLM-Synthesized Data](https://metix.ai/research/mira-embeddings-v1): Domain-adapted semantic reranking via LLM-synthesized data; Recall@50 68.89% → 77.55% (arXiv:2604.17738). - [When AI Meets Recruiting: Opportunities, Challenges, and Future Directions](https://metix.ai/research/ai-meets-recruiting): Lifecycle-oriented review of AI recruiting: semantic matching, generative AI, bias, explainability, human oversight. - [Talent Intelligence Reports](https://metix.ai/reports): Bilingual Metix AI talent-intelligence report library. English is the default URL surface; Chinese mirrors live under `/reports/zh/`. - [Chinese Talent Intelligence Reports](https://metix.ai/reports/zh/): Chinese-language mirror of the reports library. - [NVIDIA and Wall Street Mobilize $500B: The AI Infrastructure Talent Race](https://metix.ai/reports/mapping/nvidia-ai-infrastructure-talent-race-2026): NVIDIA and Wall Street move to mobilize more than $500B for AI infrastructure. Which roles are becoming the real constraints on compute buildout? - [Jeff Dean leaves Google, revealing AI's next talent gap](https://metix.ai/reports/mapping/ai-next-talent-gap-2026): Founder capability lineage, hiring keywords, and a peer-company map that prioritize Discovery Loop talent search. - [AI Agent talent structure](https://metix.ai/reports/mapping/ai-agent-talent-supply-demand-gap-2026): Covering 32 U.S. companies, based on 259 Agent JDs and 513 observed current Agent professionals, comparing job groups, company gaps, talent sources, movement paths, and geography. - [OpenAI, Anthropic and xAI Talent Structure Benchmark](https://metix.ai/reports/mapping/openai-anthropic-xai-talent-structure): A comparison of OpenAI, Anthropic and xAI across role mix, talent sources, inter-company movement and geographic differences, based on 9,421 U.S. public professional profiles and 1,629 profiles in priority international markets. - [Overseas chip R&D and manufacturing talent report Map of 58 companies and priority talent leads](https://metix.ai/reports/mapping/overseas-chip-rd-manufacturing-talent-2026): Covering 10 countries/regions, 58 representative chip R&D and manufacturing companies, and 101,975 talent leads: talent reserves, regional distribution, company flows and 48 gated priority targets across design/SoC, IDM/manufacturing, equipment, EDA/IP, materials/automotive and packaging/testing. - [Who's winning talent, who's bleeding it An engineering-talent momentum leaderboard of 30 fintech companies](https://metix.ai/reports/mapping/fintech-talent-momentum-2026): 30 fintech leaders, 25,860 current engineers: who net-imports talent, who bleeds it, where the biggest talent pipe runs, and where founders spill over — momentum / poaching / sources / founder factory. - [Seven AI video companies, 1,687 listed members — but only 518 are actually building. They come from Big Tech and self-driving — film VFX is under 1%.](https://metix.ai/reports/mapping/ai-video-generation-talent-2026): We break down the real R&D teams at Runway / Luma / Pika / Higgsfield / Decart / HeyGen / Synthesia: how big, who they are, where they come from, where they sit. - [This compute war is Intel veterans fanning out to hunt the 1/7 of NVIDIA's engineers locked behind golden handcuffs](https://metix.ai/reports/mapping/ai-infra-chip-talent-2026): We x-rayed 15 U.S. AI-compute / chip companies and 56,861 current engineering and research professionals, reading their résumés as data. - [OpenAI Engineering Talent X-Ray: hires builders, not researchers](https://metix.ai/reports/mapping/openai-engineering-xray-2026): Single-company x-ray: a full-population profile of 3,041 OpenAI engineers from Metix AI's global talent pool — seniority, hiring pace, skills, sources, education and levels — revealing an org that hires builders, not researchers. - [Anthropic Engineering Talent X-Ray: Cut From the Same Mold as OpenAI, Only Flatter and Newer](https://metix.ai/reports/mapping/anthropic-engineering-xray-2026): Metix AI ran a full profile of Anthropic's current technical team — 1,281 engineers and researchers. We lay out their seniority, tenure, skills, sources, education. - [Quant Finance × AI Talent Flow](https://metix.ai/reports/mapping/quant-ai-talent-2026): The talent corridor between 25 top quant firms and AI labs: who feeds whom between quant finance and AI research/engineering. - [Frontier AI Labs Talent Landscape & Flow Map](https://metix.ai/reports/mapping/frontier-ai-labs-talent-2026): A talent panorama of 13 frontier AI labs: who feeds and who loses talent to whom, the name-level poaching network, and the researcher-vs-engineer org map. - [Clinical AI & Health Systems Talent Map](https://metix.ai/reports/mapping/clinical-ai-healthcare-2026): 22 clinical-AI companies & hospital AI teams: locating the rare bilingual talent fluent in both clinical workflow and machine learning, and their source pipelines. - [TechBio / AI Drug Discovery Talent Map](https://metix.ai/reports/mapping/techbio-ai-pharma-2026): 20 AI-pharma companies & big-pharma AI teams: the wet-lab × dry-lab crossover talent pool, AlphaFold spillover and the org map. - [Embodied AI & Humanoid Robots Talent Map](https://metix.ai/reports/mapping/embodied-ai-humanoid-2026): 13 embodied-AI & humanoid-robot companies: the hardware × AI crossover talent structure, sources and flow corridors. - [Game Engine × World Model Talent Corridor](https://metix.ai/reports/mapping/game-engine-world-model-2026): The talent corridor between game engines/graphics and world models: how simulation and graphics talent flows into world-model teams. - [North America Autonomous Driving Ethnic-Chinese Algorithm Talent Mapping Report](https://metix.ai/reports/mapping/na-av-chinese-talent-2026): 36 North-American autonomous-driving companies: the distribution, flow, poaching windows and key profiles of ethnic-Chinese algorithm talent. - [Overseas Jobs Structure Report](https://metix.ai/reports/mapping/job-distribution-ex-china-2026): Structure of active job postings outside China — across country, function, industry and job category — showing where hiring demand concentrates. Bilingual. - [Compare](https://metix.ai/compare): Hub for head-to-head recruiting-tool comparisons and alternatives round-ups; prices read off vendor pages and dated. - [About](https://metix.ai/about): Why OpenJobs AI is now Metix AI; mission and team (Kin Fu, Founder & CEO; Dr. Zhilin Wang, Co-founder & CTO; Gene Dai, Co-founder & CPO). - [Privacy Policy](https://metix.ai/privacy-policy): Data collection, use, sharing, retention, and GDPR/CCPA rights. - [Terms of Service](https://metix.ai/terms-of-service): Governed by Delaware law; OpenJobs AI Inc. - [Referral Program Rules](https://metix.ai/referral/rules): How Refer & Earn works, what rewards are available, and when they expire. - [Contact](https://metix.ai/contact): contact@metix.ai, support@metix.ai. - [Careers](https://metix.ai/careers): Open roles across GTM, content, and product design, full-time and internships in San Francisco and Beijing. Full-time roles can provide visa sponsorship. Applications go by email to yaqi.wu@metix.ai and are read by a person, not an ATS. - [Field GTM Lead](https://metix.ai/careers/gtm-us): Full-time, San Francisco or frequent visits. Build Metix AI's on-the-ground presence in the US by turning events, communities, and buyer conversations into pipeline. - [GTM Growth Lead](https://metix.ai/careers/gtm-beijing): Full-time, Beijing. Own the PLG funnel, GTM stack, ICP learning loop, and self-serve-to-team conversion motion for a global AI recruiting product. - [Content Marketing](https://metix.ai/careers/content-marketing): Full-time, Beijing or San Francisco onsite. Become the human voice that makes US HR leaders, recruiters, and founders stop, read, save, and share. - [Market Events Intern](https://metix.ai/careers/market-events-intern): Internship, San Francisco onsite. Represent Metix AI at San Francisco HR, recruiter, and founder events, then turn the room into useful market insight and leads. - [Product Design Intern](https://metix.ai/careers/product-design-intern): Internship, Beijing preferred / Remote considered. Work on core product design and use AI tools to turn ideas into interactive prototypes, demos, and faster product validation. - [GTM Intern](https://metix.ai/careers/gtm-intern): Internship, Beijing preferred / Remote considered. Support the GTM foundation: ICP research, GTM tooling, outreach drafts, and clean CRM data. - [Content Marketing Intern](https://metix.ai/careers/content-marketing-intern): Internship, Beijing preferred / Remote considered. Write English social content, join overseas communities, and help turn AI recruiting ideas into real audience learning. - [Opportunities](https://metix.ai/opportunities): Client roles Metix AI represents as a search partner, browsable by industry, function and location. Distinct from Careers, which is Metix AI hiring for itself. Most clients are confidential and described without being named; each role lists one responsible advisor and applications go to that advisor by email with the role code in the subject. The site stores no candidate resume. - [Robot Hardware & Systems Integration Engineer (MX-ROB-001)](https://metix.ai/opportunities/robot-hardware-systems-integration-engineer): Help bring causal world models from research into real robotic systems through deployment, integrated debugging, maintenance, and cross-platform engineering adaptation. - [Investor Relations & Strategic Business Development (MX-STR-001)](https://metix.ai/opportunities/investor-relations-strategic-business-development): Build the global capital strategy, investor-relations system, and strategic partnership pipeline alongside the founding team, engaging global funds and industry resources. ## Writing - [Blog](https://metix.ai/blog): Product, brand, and research notes from the team building Metix AI. - [hireEZ vs LinkedIn Recruiter: which one fits your team?](https://metix.ai/compare/hireez-vs-linkedin-recruiter): Third-party comparison of hireEZ and LinkedIn Recruiter, checked against both vendors' own pages on 11 August 2026. hireEZ searches 45+ platforms plus employer ATS records and covers CRM, applicant review, email and SMS outreach, phone screening, scheduling and analytics; its only published price is a $494/mo solo plan with a 7-day trial. LinkedIn Recruiter offers first-party network access, member activity signals, InMail, Jobs and Projects; Recruiter Lite is $170/mo for one license with third-degree reach, 30 InMails, no ATS integration and no Hiring Assistant, while Corporate (150 InMails/seat) and RPS (100/seat) are quote-only. Covers the 120-per-seat Lite credit cap at renewal, the 13 percent InMail response-rate policy, ATS integration questions procurement should ask, security document review, and a one-role live test. Metix AI publishes it and sells into the same market; that disclosure and a single link appear only in the closing note. - [Metix AI vs Fetcher: sourcing desk or booked interview](https://metix.ai/compare/metix-vs-fetcher): Head-to-head: Fetcher is a recruiter-operated sourcing and outreach platform at $115/mo Self-serve (300 leads), $379 Growth and $649 Amplify on annual billing ($499 and $849 month to month), with Fetcher-sourced talent from Growth up and a dedicated human sourcer on Amplify per its own plan comparison; Enterprise is its only quote-only tier. Metix AI delivers interview-ready candidates on $49 to $299/mo plans covering 3/12/30/75 candidates against 1/3/6/12 active roles, with a credit spent only when an interested, hire-ready candidate is booked, a delivery lead reviewing every shortlist, and volume or specialized hiring quoted rather than published. Includes where Fetcher is the better buy, when neither fits, and how to test both on one live role. Checked August 2026. - [What AI recruiting tools actually cost in 2026, read off the vendors' own pages](https://metix.ai/blog/ai-recruiting-tools-pricing-2026): Market-wide pricing survey of fourteen AI recruiting tools (LinkedIn Recruiter, hireEZ, SeekOut, Juicebox, Leonar, Wellfound, Ashby, Gem, Dover, Fetcher, Paradox, Findem, GoPerfect, Metix AI) organized by billing unit, with every published price read off the vendor's own page, quote-only tiers stated as quote-only, a five-line twelve-month spend model, a checklist of questions to send every vendor, and SHRM cost benchmarks cited to the primary source. Eleven vendors publish at least one transactable number; Paradox, Findem and GoPerfect publish none. Checked August 2026. - [The real cost of LinkedIn Recruiter, from Lite to Corporate](https://metix.ai/blog/linkedin-recruiter-cost-breakdown): LinkedIn Recruiter pricing walked tier by tier from LinkedIn's own pages: Lite $170/mo or $1,680/yr (add seats $270/mo or $2,670/yr, five-seat cap), RPS, RPS+, and Corporate quote-only, Premium Business $69.99/mo, annual savings derived openly, checked August 2026. - [Everything that goes into cost per hire, including what nobody invoices you for](https://metix.ai/blog/cost-per-hire-breakdown): Cost-per-hire breakdown: SHRM's $4,683 average vs $1,244 median (2021 data) and 2025 medians of $1,200/$10,625, the ANSI/SHRM external-plus-internal formula, ATS and sourcing subscriptions checked August 2026, agency fees, and the hours-times-loaded-rate method showing hiring-manager and interviewer time as the largest, uninvoiced component. - [Paying per seat or paying per candidate: which model fits your hiring volume](https://metix.ai/blog/per-candidate-vs-per-seat-pricing): Break-even arithmetic between per-seat recruiting software (LinkedIn Recruiter Lite $170/mo, SeekOut Recruit Core $149/mo annual, hireEZ solo $494/mo) and Metix AI's per-candidate plans ($49 to $299/mo for up to 3 to 75 hire-ready candidates): on list prices the curves cross near 30 candidates a month before seat labor is counted, and seats win at high steady volume with a staffed team. Checked August 2026. - [Agency commission versus software subscription: where the break-even sits](https://metix.ai/blog/agency-fee-vs-software-cost): Break-even arithmetic between agency commissions (SHRM 2016: 20-25% of first-year cash compensation; market convention to 30%) and recruiting software subscriptions (Recruiter Lite $1,680/yr published, SeekOut Core $1,788/yr upfront and hireEZ solo $5,928/yr as labeled derivations, checked August 2026), with Metix AI's per-candidate plans at $49 to $299/mo as the outcome-priced middle. - [ATS pricing compared, and what the per-seat number leaves out](https://metix.ai/blog/ats-pricing-comparison): Eight ATS vendors priced from their own pages, checked August 2026: Workable $299/mo, BambooHR $10/employee/mo, Breezy HR free then $157/mo, JazzHR $1,000/yr, and Ashby from $400/mo publish entry prices; Greenhouse, Lever, and Recruitee quote every tier; none publishes an implementation fee. - [Metix AI vs SeekOut: talent search versus delivered candidates](https://metix.ai/compare/metix-vs-seekout): Head-to-head: SeekOut sells search depth (claimed 1B+ profiles, 30+ smart filters, 300+ power filters) with delivery left to your recruiters unless you buy its quote-only Spot service; Metix AI prices the delivered interview at $49 to $299 a month. Checked August 2026. - [Metix AI vs hireEZ: recruiting engine or finished interview](https://metix.ai/compare/metix-vs-hireez): Head-to-head: hireEZ sells recruiting capability layered on your ATS (sourcing across 45+ platforms, sequenced outreach, CRM, voice screening and scheduling agents) at solo plans from $494/mo with quote-only enterprise pricing; Metix AI delivers qualified, interested candidates booked on your calendar on $49 to $299/mo plans, with credits spent only on delivered candidates. Checked August 2026. - [LinkedIn Recruiter alternatives for startups without a recruiting team](https://metix.ai/compare/linkedin-recruiter-alternatives): Six alternatives to LinkedIn Recruiter (Lite, Metix AI, Juicebox, Gem, SeekOut, hireEZ) with published entry prices verified 27 July 2026, what each meter counts, and which work stays on your desk when nobody is running sourcing. - [AI sourcing tool vs AI recruiter: what's the difference?](https://metix.ai/compare/ai-sourcing-tool-vs-ai-recruiter): A sourcing tool hands you a list; an AI recruiter hands you interviews. Where each product stops, what stays on your desk, how to tell an AI sourcing agent from an end-to-end AI recruiter, and how to compare vendors on one live role. - [Juicebox alternatives in 2026, priced from the vendors' own pages](https://metix.ai/compare/juicebox-alternatives): Nine Juicebox (PeopleGPT) alternatives (SeekOut, hireEZ, Leonar, GoPerfect, Gem, Findem, Metix AI, Fetcher, Dover) with every price read off the vendor's own pricing page on 27 July 2026, which tiers are quote-only, and five widely repeated figures that do not survive a check against the vendor, including two with no source on the vendor's site at all. - [Metix AI and Deel announce a global strategic partnership](https://metix.ai/blog/metix-deel-partnership): Metix AI and Deel announce a global strategic partnership that enables enterprises to recruit, onboard, and pay talent across 130+ countries through a single AI recruiter. - [Metix AI vs LinkedIn Recruiter vs Juicebox (PeopleGPT): who does the work?](https://metix.ai/compare/metix-vs-linkedin-recruiter-vs-juicebox): Three-way comparison: LinkedIn Recruiter sells access, Juicebox (PeopleGPT) sells AI search, Metix AI sells the finished interview. Published pricing and trade-offs, checked July 2026. - [We raised $5.5M, and we're now Metix AI](https://metix.ai/blog/metix-ai-raises-5-5m): OpenJobs AI is now Metix AI; $5.5M raised across two rounds, the latest led by Rsquared Investment (the firm behind Bossjob); traction, team, and where the money goes. - [Every hiring tool sells one slice of the work](https://metix.ai/blog/hiring-outcomes-not-software): How the hiring market splits between software and services, why outcome pricing wins, and how Metix AI delivers interview-ready candidates. - [OpenJobs AI is now Metix AI](https://metix.ai/blog/openjobs-is-now-metix): Why the product was renamed to Metix AI; same team, product, login, and API. ## Company Metix AI is the customer-facing recruiting product and brand operated by OpenJobs AI Inc. OpenJobs AI Inc. is a Delaware corporation at 8 The Green, Ste A, Dover, DE 19901, USA. Metix AI is trusted by 150+ teams. contact@metix.ai ## Links - LinkedIn: https://www.linkedin.com/company/metixai/ - X / Twitter: https://x.com/metix_ai - GitHub: https://github.com/OpenJobsAI ## Recognition - #1 Product of the Day, Product Hunt - 2025 HRTech INNO Award, AI Innovation Product ## Full Context - [llms-full.txt](https://metix.ai/llms-full.txt): Complete Q&A context covering what Metix AI is, what Mira does, how it differs from ATS, LinkedIn Recruiter, agencies, and AI sourcing tools, how the product works, FAQ answers, results, pricing, customers, and team.