An AI recruiting platform that finds, contacts and scores tech candidates automatically. It cuts screening time by 60% and delivers a shortlist of 5–7 finalists 40% faster.
Client: Tener.AI
Industry: HR Tech & Recruitment
Platform: Web
Scope: AI sourcing, outreach, screening and shortlisting
Technology: AI agents, LinkedIn integration
Result: 60% less time on candidate screening
60% less - time spent on first-round candidate screening
45% less - manual work to find and check candidate profiles
40% faster - from a new vacancy to a shortlist ready for the client
5–7 finalists - a ready shortlist for every vacancy instead of hundreds of profiles
6 stages in one flow - from finding candidates to hiring
Hiring developers takes a lot of repetitive work: writing the job spec, searching for candidates, messaging them, chasing replies, running interviews and comparing results. Recruiters spend most of their time on routine instead of on the best candidates.
Unrealistic job descriptions. Vacancies often ask for impossible combinations of skills, experience and salary, and attract the wrong people.
Slow candidate search. Finding, checking and sorting profiles by hand takes days.
Endless outreach. Personal messages, follow-ups and replies are hard to manage at scale.
Scattered assessments. Technical, soft-skill and English tests live in different tools and are hard to compare.
Too many profiles. Clients don’t want to review everyone, only the best few.
Checked every job description with AI. The platform spots unrealistic requirements and helps the client separate must-have skills from nice-to-haves.
Profiled company culture. AI studies public information about the company, from its website and LinkedIn to Glassdoor, so candidates are matched on culture too.
Automated candidate search. The platform finds candidates on LinkedIn, removes duplicates, checks their profiles against the role and keeps only the relevant ones.
Wrote personal outreach automatically. Every message is tailored to the candidate and the role. The platform follows up, reads replies and hands tricky conversations to a human recruiter.
Brought all assessments together. Technical interviews, soft-skill tests and English checks feed into one place and become comparable.
Scored every candidate. Each candidate gets one score: 50% technical skills, 30% soft skills and 20% culture fit, plus a short written summary.
Showed clients only the finalists. The client dashboard puts the 5–7 strongest candidates first, each with scores, a summary and a LinkedIn link.
Gave the team full control. An admin panel manages users, vacancies and the candidate pipeline, with different access levels for different roles.
Made it reliable. If an outside service stops responding, the search pauses and picks up again automatically, so no candidates are lost.
Tener.AI turns technical hiring into one automated process, from a raw job description to a shortlist of assessed finalists.
Tener.AI is an AI-powered technical recruitment platform for software development companies. Time2Launch built connected AI agent workflows for job description validation, company culture profiling, candidate sourcing and verification, personalised outreach and interview assessment.
Candidates move through a six-stage pipeline: Sourced, Qualified, Screened, Interviewed, Finalists and Hired. LinkedIn sourcing and messaging run through Unipile, with rate limits, retries and automatic recovery built in. A composite scoring model combines results from technical, soft-skill and English assessments into one ranking.
The project shows our approach to AI consulting and development: AI agents built into a real business process, not a standalone demo. Planning to automate hiring or another multi-step workflow? See our generative AI and web application development services.
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Oleg Romanov
Founder at Time2Launch
hq@time2launch.uk
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