Matches staff to internal openings and builds a short plan to close the gap
TL;DR Hallmover shows a mid-size company which of its own people are one or two skills away from a role it's about to hire for outside. Then it gives each candidate a 4–8 week bridging plan built from courses and project work the firm already has. HR pays per employee, and the payoff is fewer external hires.
Employees want to grow and companies say they want that too, but the link between the two is weak. A professional network's 2025 learning report found only 15% of employees had a manager help them build a career plan in the previous six months, down five points on the year before. Half of learning leaders described a skills crisis[1].
In India it shows up in engagement. One global polling firm found 23% of Indian employees engaged in 2025, the lowest in four years[2].
Meanwhile, in a typical mid-size services firm, an open role goes to a recruiter while someone two floors away could have done it with a month of targeted practice. Nobody connects the two, because skills data sits in old CVs and course completions and not in anything a hiring manager reads.
The seed pitched AI-personalised learning for skill gaps. That market is crowded, and personalised courses alone rarely change anyone's job. So this version narrows it to one moment that has a budget - an internal opening.
When a role opens, Hallmover reads the job description and compares it with what the firm knows about its people, from project history, certifications and course records to a short self-assessment each employee controls. It shortlists internal candidates with a clear gap statement, for example "strong on SQL, no stakeholder reporting yet".
For each candidate who opts in, it builds a 4–8 week bridging plan from the firm's existing learning library plus a stretch task on a live project, agreed with the hiring manager. The manager signs off on completion, and the candidate is then interviewed like anyone else.
Employees see and correct everything the system infers about them. The AI drafts the matches and plans and people make the decisions.
The employee and the hiring manager use it. The HR head or talent acquisition lead pays, and can set the cost against agency fees and notice-period delays. The target is firms of 500–5,000 staff in IT services, capability centres and financial-services operations, which are too small for enterprise suites. I found no public Indian price for internal mobility tools, so my assumption is ₹1,500–3,000 per employee a year.
Internal mobility is climbing the agenda, with 55% of firms with strong career programmes, and 48% of others, rating it a higher priority for the coming year[1]. Language models can now read job descriptions and project notes cheaply enough for a mid-size budget. And the DPDP Rules of November 2025 make transparent, employee-visible profiles the safer design.
There's no public figure for spending on internal mobility software in India. The narrowest signal is that one India-founded skills and learning platform reports 500+ enterprise customers in 25+ countries[3], so firms here do buy skills software.
Nearby, one employability-testing firm puts graduate employability at 54.81% in its 2025 report[4], a reminder that a lot of entry hires arrive with gaps.
That Indian platform diagnoses skill gaps, maps skills to roles and runs learning paths for large banks and consumer apps[3]. A global talent-marketplace vendor sells an AI workforce platform with a people, jobs and skills graph that runs inside the big enterprise HR suites[5]. A leading Indian HR suite is adding AI across its product[6].
The gap is a lighter tool aimed only at filling open roles from inside, priced for firms without enterprise HR budgets.
| Difficulty | Moderate (44/100) |
| Starting capital | ₹1.2–2.2 Cr |
| Time to launch | 8–12 months |
Matching is the easy part. The hard part is pulling usable data out of messy HR and learning systems, persuading hiring managers to look inside first and handling the managers who won't release their best people (there's always one). Expect each pilot to need weekly hand-holding.
This is software sold to employers, so there's no sector licence. The weight falls on fair process and employee data.
Building this outside India? The categories above usually have a local equivalent, so check with your own regulator.
Don't let AI make hiring or promotion decisions. It drafts matches, and people decide, with reasons written down.
Want to work out the AI layer for Hallmover? Talk to Yash →
I think this is a reasonable bet for a founder from HR technology or talent acquisition who can sell to HR heads. It's a poor fit if you want to build another course library. First prove that in one pilot firm, at least a fifth of opened roles get a credible internal shortlist and some get filled from it.
Plan for roughly ₹1.2–2.2 Cr, mostly for an engineering team, HR system integrations and the hand-holding each pilot needs.
No sector licence. You need company registration, GST and DPDP compliance, with profiles employees can see and correct, and matching that keeps disability data out.
Yes, large employers everywhere want to fill roles from inside. Some regions regulate AI in hiring more tightly, so check local employment and data rules first.
The free Hallmover validation kit has the line-by-line capital breakdown, the effort scoring, the data-protection checklist, a 14-day validation sprint with pass/fail targets, a 90-day launch plan, 10 interview questions for HR heads and hiring managers, and 5 assumptions to test. Download the kit →
Thinking about building Hallmover or something close to it? The make-or-break work is getting hiring managers to treat internal shortlists as real, and I can help you plan a pilot that tests exactly that. If you need a hand, you know where to find me. Talk to Yash →
For illustration only. Names are fictional and ideas hypothetical; sourced facts are real but may be out of date. Nothing here is legal, financial or professional advice, and Yash Khatri is not personally liable for any use of it. Read the full disclaimer.