Keelzo's answer

Keelzo searches your existing candidate pipeline first — past applicants, rejected candidates, talent pool members, and career page visitors — before sending you to job boards. Most ATS tools treat past candidates as dead data. Keelzo turns them back into live matches the moment a new role is posted, with explainable AI scoring across 6 dimensions. The result: 22-second rediscovery instead of 30-minute manual searches, and defensible shortlists you can hand to a hiring manager without flinching.

Sortinghat's answer:

Sorting Hat is an ATS and CRM built exclusively for staffing, search and RPO firms, not a general hiring tool adapted for agencies. Three things set it apart. First, AI is native to the workflow rather than added on: AI voice screening calls, AI video interviews, natural language search across the firm's own database, and notes that write themselves onto the record. Second, migration off Bullhorn, Ceipal, Recruit CRM or Recruiterflow is handled with no data loss, including comments and attachments. Third, implementation, customisation and hands-on adoption support are included, because buying AI is easy and getting recruiters to actually use it is the part most firms fail at.

Keelzo's answer

Traditional ATS platforms like Zoho Recruit, Greenhouse, and Lever are built around storing candidates. Keelzo is built around resurfacing them. Three differences matter:

1. Rediscovery happens automatically. The moment you post a job, Keelzo matches it against every past applicant, rejected candidate, and talent pool member in your pipeline — no manual search needed.

2. Scoring is explainable, not a black box. Every match comes with a 6-dimension breakdown (skills, experience, seniority, industry, education, stability) so you can defend your shortlist to hiring managers.

3. Built-in AI assistants for both recruiters and candidates. Recruiters get help asking better interview questions. Candidates get instant answers about your role and company, freeing your team from repetitive Q&A.

Plus a 14-day free pilot with no credit card.

Sortinghat's answer:

Legacy platforms were built as systems of record. Recruiters still do the sourcing, chasing and screening by hand, and spend 60 to 70 percent of the week on admin. Sorting Hat absorbs that work, so the same headcount carries roughly twice the roles. It also sources from the firm's own database before spending on job portals, which cuts portal spend by around 40 percent. Front and back office sit in one system, including pay and bill, timesheets and invoicing, so contract desks do not need a second tool. Data is hosted in the client's own country, with SOC 2 and ISO 27001 in progress. Migration and training are part of the deal, not a paid add-on.

Keelzo's answer

Keelzo is built for three types of recruiters:

• In-house recruiters at growing companies (50–500 employees) sitting on ATS databases full of forgotten candidates
• Agency recruiters managing candidates across multiple client engagements who need to resurface past relationships when new requirements come in
• TA leads and hiring managers who want defensible, explainable shortlists instead of gut-feel resume skims

Keelzo is especially useful for teams that hire frequently, have 500+ candidates accumulated in their pipeline, and are tired of paying for LinkedIn Recruiter when better candidates already applied.

Sortinghat's answer:

Staffing, recruitment, executive search, RPO and GCC management firms, from teams of ten recruiters to firms of 400+ employees. It fits both niche search desks and high volume hiring desks, and works for firms running contingency, retained or contract models. Typical buyers are founders, delivery heads and operations leaders who are either running a legacy ATS they have outgrown, or have bought AI tools their recruiters never adopted

Keelzo's answer

Keelzo started after a conversation with a recruiter friend in Bangalore. She had spent 6 weeks trying to fill a senior backend role using LinkedIn Recruiter, Naukri, and cold outreach. Nothing was working.

I asked her one question: "How many candidates are in your ATS right now?"

She checked. 847.

Thirty minutes of manual filtering across past applicants, "good but not now" candidates, and career page visitors revealed 11 strong matches she had never looked at. She emailed five of them that night. One is interviewing this week.

Her words: "I've been paying for LinkedIn Recruiter for 2 years and the best candidate was already in my own database."

That conversation made it clear: recruiting isn't broken because there aren't enough candidates. It's broken because the best ones are already in your system, invisible. Keelzo exists to make them visible.

Built from Kochi, India.

Sortinghat's answer:

Apoorv Tamrakar started a talent search firm at 18 and scaled it to a 15 member team. Running that desk made the problem obvious: recruiters spent most of their week on chasing, screening and data entry, none of which is the part clients pay for, and every tool on the market was built to store records rather than do the work. Sorting Hat was built from that experience, as the platform he wanted while running an agency. The team now works with staffing firms globally, and one early finding shaped the product: after auditing 3M candidate records at a single firm, around 10 percent were duplicates and 10 percent unusable, meaning firms keep paying job portals for profiles they already own.

Keelzo's answer

Keelzo is built on a modern web stack with AI/ML at its core

Keelzo is web-based, accessible from any modern browser, and built with security and data privacy as foundational principles.

Sortinghat's answer:

I don't know your actual stack, so fill this one in yourself rather than let me guess. It usually wants front end, back end, database, hosting and AI layer. Send me the list and I will write it up to match the tone of the rest.

Keelzo's answer

• Keelzo is in early access, working with select recruiters and TA teams across India, UAE, and Singapore who are piloting the platform on real hiring requirements.

Sortinghat's answer:

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