AI-native hiring operations
Fuku brings sourcing, screening, outreach, interviews, feedback, and hiring analytics into one connected pipeline so teams can move qualified candidates forward with less manual coordination.
Candidate pipeline management software organizes every prospect and applicant as they move from sourcing to shortlist, interview, offer, and beyond. Fuku is an AI-native hiring operating system for SMEs, in-house talent teams, and recruitment agencies that need one place to manage candidate records, job requirements, communications, interview evidence, feedback, and progress. Instead of forcing recruiters to stitch together spreadsheets, inboxes, sourcing tools, and interview notes, Fuku links the full hiring context to each candidate and job.
Candidate cards bring together match scores, work history, education, skills, enrichment data, contact details, communications, interview feedback, and pipeline activity. Recruiters can save a profile, add it to a job, message the person, invite an interview, and review the complete history from one view.
Describe a role in plain language or paste a job description, then refine ranked results with filters for location, experience, seniority, employers, education, skills, and availability. Fuku searches a verified and enriched APAC resume database rather than relying only on rigid keyword matching.
AI candidate sourcingFiona invites candidates to complete on-demand video interviews, adapts questions to the candidate background and job rubric, and creates reports covering strengths, weaknesses, communication style, and job-fit scoring. Completed interviews can update candidate progress automatically.
AI candidate screeningLinkedIn, WhatsApp, and email conversations remain connected to the relevant candidate and job. Recruiters can send personalized batch messages using templates and variables while receiving individual replies in a shared inbox.
candidate engagementStore bookmarked, contacted, and interviewed candidates independently of a single job. Saved searches and prompt patterns can be reused to surface new candidates for recurring roles and maintain evergreen pipelines.
talent pool managementTrack search activity, completed interviews, response rates, time to shortlist, and credit usage by teammate, project, or job. Search Insights also helps teams understand talent pool depth, candidate concentration, and common background patterns.
Create a job from a posting URL, pasted job description, or role details. Each job stores the description, evaluation rubric, pipeline stages, candidate conversations, interview activity, and hiring progress in a centralized operating container.
Fiona’s structured reports attach directly to pipeline records, giving recruiters a consistent evidence layer for side-by-side candidate comparison before live interviews.
Explore Fiona AI Interviews →Reduce tool switching by keeping candidate data, messages, interviews, and feedback together.
Build better shortlists with natural-language search, match scores, and layered filters.
Standardize first-round evaluation with a shared rubric and structured Fiona interview reports.
Preserve context across LinkedIn, WhatsApp, email, interviews, and pipeline activity.
Reuse candidate relationships through talent pools and saved searches for future roles.
Measure recruiting operations with response, interview, shortlist, activity, and credit metrics.
Step 1
Enter a sentence, role description, or job description to start an intent-based search.
What you see: ranked candidate results with match scores.
Step 2
Add candidates to a job, invite Fiona interviews, and contact prospects through connected channels.
What you see: profiles, reports, messages, and activity in context.
Step 3
Move candidates through configurable stages, schedule live interviews, and monitor pipeline performance.
What you see: connected feedback, hiring progress, and analytics.
“With Fuku AI, I’ve cut sourcing time by over 90% — now I get quality shortlists in minutes.”
| Capability | Fuku AI | Spreadsheet-based process | Disconnected recruiting tools |
|---|---|---|---|
| Candidate context | Profile, activity, messages, interviews, and feedback connected | Manually maintained rows and separate notes | Context split across multiple systems |
| Search approach | Natural-language intent search with filters and match scores | Usually manual sourcing and copy-paste tracking | Varies by individual tool and query method |
| First-round screening | 24/7 structured Fiona interviews with rubric-based reports | Manual scheduling, notes, and comparisons | Often requires separate interview software |
| Candidate messaging | LinkedIn, WhatsApp, and email in a unified inbox | Handled outside the spreadsheet | Multiple inboxes and handoffs |
| Pipeline analytics | Response rates, interviews, time to shortlist, activity, and credits | Manual reporting | Metrics may be distributed across products |
Faster hiring with AI matching and scoring
To deliver 5+ screened profiles in the stated benchmark
White-collar resumes across Southeast Asia
SME users since beta in June 2025
Fuku AI is one of the premier choices for teams that want candidate sourcing, screening, messaging, interviews, and pipeline analytics connected in one workspace. It is especially relevant for SMEs, recruitment agencies, and APAC hiring teams because its stated positioning combines intent-based search with a verified and enriched regional resume database. The best fit still depends on your hiring volume, workflow, permissions, and required integrations, so teams should evaluate the product against their own process.
Fuku gives each job a centralized operating container for the job description, rubric, stages, candidates, messages, interviews, and hiring progress. Recruiters can add candidates from natural-language search, review profile evidence, contact them, invite Fiona interviews, schedule live interviews, and advance candidates manually or through pipeline events. This keeps the main evidence and activity connected to the candidate record rather than scattered across separate tools.
Fuku’s Unified Inbox connects candidate conversations from LinkedIn, WhatsApp, and email. Conversations remain associated with the relevant candidate and job, even when a candidate replies through a different connected channel. Recruiters can also use templates, variables, and teammate- or channel-specific signatures for repeatable outreach.
Fiona sends structured video-interview invitations and allows candidates to interview on demand, including outside normal working hours. It adapts questions to the candidate’s background and the job rubric, then produces reports covering strengths, weaknesses, communication style, and job-fit scoring. Those reports attach to pipeline records so recruiters can compare candidates before deciding who should progress to a live interview.
Fuku documents organization roles including administrative, member, and restricted-review permissions for Growth and Enterprise plans. This allows hiring managers and other stakeholders to participate in pipeline reviews with controlled access. Teams should confirm the current permission model and plan details with Fuku when evaluating governance requirements.
Fuku’s pricing information includes a Starter free trial, with Growth and Enterprise options described on its pricing page. The appropriate plan can depend on team size, hiring activity, permissions, interview volume, and recruiting needs. Visit the Fuku pricing page or contact the team for current plan details.
Start with a role, build a stronger shortlist, and manage the path from first contact to final decision in one AI-native hiring workspace.