What Sortinghat is, and what this site now covers
A plain statement of the company, the product, the editorial standard behind 125 articles, and who all of it is for.
Sortinghat is an AI-native applicant tracking system and CRM for staffing, search and RPO firms, built in Bengaluru and used by firms up to 400+ employees. It carries the front office and the back office in one platform: sourcing, screening, the client relationship, pay-and-bill, timesheets and invoicing.
This site is now two things rather than one. It is the product, described page by page rather than as a single scrolling pitch. And it is a library of 125 articles on how staffing firms actually operate, published between June and August 2026 — which is the part most people arrive at first, and the part this page exists to define.
What the writing covers
Ten subject areas, each a standing section rather than a tag: side-by-side comparisons of the platforms staffing firms evaluate; what AI changes segment by segment, from sourcing to RPO to back office; market data on GCCs, BPO, mid-tier IT services and the US staffing cycle; how the work differs by role type, from blue collar to leadership search; arguments the industry avoids making out loud; the rules a firm operates inside, from the EU AI Act to India's DPDP Act to contract labour; growing revenue without adding heads; and selling a desk across borders.
The standard the articles are held to
Every headline figure is traced to where it came from. Market numbers are attributed to NASSCOM, Zinnov, Staffing Industry Analysts or the US Bureau of Labor Statistics and linked to the source. Operating numbers come from the platform and say so. Where the variation inside a market exceeds the variation between markets, the post publishes no average and explains why: notice periods in India and recruitment fees by country are both handled that way rather than reduced to a figure that would be quoted as a benchmark it cannot support.
Where the writing argues against its own category
Several articles here make the case that the product category is oversold. Most AI recruiting tools change no number on a staffing P&L. Nobody needs another resume screener. There is a list of twelve things automation still cannot do in recruitment, and a piece on why claimed AI adoption in staffing far exceeds anyone actually using it. Those pages exist because a library that only argues one way is advertising.
Who it is for
Owners and operators of staffing, search and RPO firms, mostly between five and five hundred people, in India, the US, the UK, Europe, Australia and the Gulf. Not HR teams hiring for themselves, and not candidates.
Questions
What does Sortinghat do?
It is an AI-native ATS and CRM for staffing, search and RPO firms: one platform carrying the talent pool, the workflow between stages, the client CRM and the analytics, plus pay-and-bill, timesheets and invoicing.
Who writes the articles on this site?
Apoorv Tamrkar, the founder. Every post carries the byline and the same author entity, and the author page sets out what the writing is based on.
Where do the numbers in the articles come from?
Two sources, kept distinct. Market figures are attributed to NASSCOM, Zinnov, Staffing Industry Analysts or the US Bureau of Labor Statistics and linked. Operating figures come from the platform, including an audit of 3 million candidate records at one firm and channel response rates measured across live roles.
Is this site the product or a blog?
Both, deliberately. The product pages describe what the platform does and where it stops. The 125 articles cover staffing operations generally, including subjects the product has nothing to do with and comparisons where an incumbent genuinely wins.
Where is Sortinghat based?
Bengaluru, India, with customers placing into India, the US, the UK, Europe, Australia and the Middle East.