Every year, millions of hiring decisions are made the same way they were made fifty years ago. A recruiter reads a resume for eight seconds. A manager runs an interview on instinct. A decision is made on gut feel. And somewhere between 40% and 50% of those decisions turn out to be wrong within eighteen months.
This is not because hiring managers are bad at their jobs. It is because they have never had real intelligence to work with. The tools exist to post jobs and collect applications. The tools exist to schedule interviews and manage pipelines. What has never existed is a system that actually understands human potential - one that can read a career the way an expert recruiter would, at the speed and scale of a machine, with the rigor and transparency of an engineer.
That is what we are building.
The product today
Mark is Talentlo's hiring decision engine for Indian IT companies. Post a role. Every application is scored across four dimensions - skill match, retention likelihood, growth trajectory, and response signal - by a proprietary intelligence system calibrated specifically for how Indian tech careers actually progress. Forty-eight hours later, a ranked Top 20 is waiting. No resume review required.
This is Phase One. It works today. It is useful today. And it is the foundation for everything that follows.
Mark today
Mark turns role criteria into candidate evidence, ranks the strongest applicants, and explains why each recommendation deserves attention.
The research agenda
The long-term problem we are working on is harder than shortlist generation.
We want to build models that can genuinely predict hiring success - not keyword overlap, not seniority matching, but actual predictive validity grounded in behavioral data and career outcomes. Models that understand where a professional is going, not just where they have been. Models that identify structural mismatches between a candidate and a role before they become expensive mistakes six months into employment.
No such model exists for Indian hiring today. The dataset required to train it does not exist either.
We are building both.
Every AI interview conducted on Talentlo generates behavioral signal - how someone communicates under pressure, how they reason through ambiguous problems, how they perform when the answer is not obvious. Every hire tracked feeds outcome data back into the system. Every cohort of candidates makes the next cohort's scoring more accurate.
The dataset compounds. The models improve. The intelligence deepens.
This is a multi-year project. We are early. But the direction is clear and the data collection has begun.
What we believe
Hiring intelligence should be explainable.
Every score, every ranking, every recommendation our system produces must map to specific observable evidence. If we cannot explain a decision in plain language, we do not ship it. In a domain where decisions affect people's livelihoods and careers, black boxes are not acceptable - ethically or commercially.
Hiring intelligence should be accessible.
Enterprise-grade talent intelligence has historically required enterprise budgets. LinkedIn Recruiter costs Rs 80,000 a month. Eightfold costs Rs 65 lakh a year. India has 63 million SMBs who cannot afford either and have been making hiring decisions on gut feel as a result. We are building for them first.
Hiring intelligence should compound.
A system that gets smarter with every decision it supports is fundamentally different from a tool that does the same thing at the same quality indefinitely. We are building the former. The data flywheel - more interviews, more outcomes, better models, more accurate predictions - is the core of what makes this defensible over time.
The horizon
Today
Mark, Talentlo's hiring decision engine for Indian IT. Ranked shortlists in 48 hours. Beta 1 is live.
2026
AI Interview Agent. Behavioral scoring from async video interviews. The behavioral dataset begins.
2026-2027
Trust Score. A portable, verified professional identity for every candidate in India. An API layer that embeds into every HRMS and hiring platform in the country.
Beyond that
Proprietary predictive models trained on the largest behavioral hiring dataset ever built for the Indian market. Career trajectory modeling. Retention prediction. Hiring intelligence that is genuinely smarter than any individual recruiter because it has seen more outcomes than any individual recruiter ever could.
We believe the future of hiring is not faster resume review. It is genuine machine intelligence that makes every hiring decision a high-confidence prediction rather than an expensive guess.
That future does not exist yet. We are building it.
Join the build
We are Work Type people who want to work on hard problems with long time horizons - engineers who want to train models on a dataset that does not yet exist, researchers who want to apply machine learning to career trajectory modeling and behavioral signal extraction, designers who can make complex intelligence feel simple, operators who want to build infrastructure that compounds over decades.
If this is the kind of work you want to do, we want to talk.