AI-powered discovery. Human-led judgment.
TalentCursor runs on a purpose-built recruiting engine that sources and scores candidates at scale, directed by search specialists who make the calls an algorithm can't. You get a shortlist, not a pipeline to manage.
No retainers required to start. We align on outcomes before we begin.
Delivered with context, not resumes.
Worth interviewing, out of hundreds who were sourced and screened.
So you know why they would actually join, not just why they applied.
The story behind each candidate, written by the recruiter who spoke with them.
Most recruiting firms added AI to an existing process. We built the engine first.
The TalentCursor Engine sources and scores candidates across channels continuously, parsing for domain depth, leadership signal, and role-specific fit before a recruiter ever opens a profile. That's the part that scales.
What doesn't scale, and shouldn't, is judgment. Every shortlisted candidate is read, interviewed, and vouched for by a search specialist who has made this call before. The Engine finds the pool. Our team finds the hire.
Every candidate who reaches your desk has been filtered by AI at scale and verified by a senior recruiter.
You're not sorting through hundreds of applications. We handle the volume so you only see who's worth your time.
We don't run every mandate that comes through the door. If it's not a fit, we'll say so on the first call.
Our team has hired inside startups, product companies, and enterprises. We haven't just sourced candidates for them.
Generalist agencies spread thin across every function and call it flexibility. We only work Tech, AI, and Product roles, which means every search specialist on a mandate already understands what good looks like in that role, not just how to source for it.
Backend, platform, DevOps, and data engineering. Roles where depth shows up in system design conversations, not a stack list on a résumé.
ML engineers, applied scientists, and AI product roles. A fast-moving market where résumé keywords lag real capability by a year or more.
Product management, product design, and product ops. Evaluated on judgment and outcomes owned, not frameworks recited.
Our search specialists work across India, the US, UK, and APAC, sourcing from a global talent pool, with particular depth in Indian tech talent for companies building distributed teams.
Every recruiting platform today claims to be AI-powered. Most mean they automated the part that was already broken: blasting more CVs faster, to more inboxes, with less judgment behind every send.
We built the TalentCursor Engine to handle the speed problem: sourcing at scale, initial screening, pattern matching across channels. That's real, and it matters.
But speed was never the only problem. The harder problem is judgment: knowing that a career gap tells a story, and that a candidate performing confidence in an interview is different from one who actually has it.
That part is still done by senior recruiting specialists. AI runs the search. Our team closes it.
Fewer candidates. Every one worth your time.
Every search specialist evaluates candidates against the same criteria. Not gut feel, not keyword match.
What did they actually own, and what happened because of it. Résumé lines don't tell you that. Conversations do.
How they reasoned when the easy answer wasn't available. Pressure reveals judgment a polished interview can hide.
Whether how they operate matches where your company actually is today, not just whether they tick the boxes on the JD.
Our recruiters have led hiring inside startups, product companies, and enterprises. They've sat on the other side of the table, so they know what a strong signal looks like versus a rehearsed one.
What's changed is where their time goes. Instead of manually trawling job boards, our recruiters direct the TalentCursor Engine, which works the channels continuously, while they focus on the part that still needs a person: deciding who's worth a conversation.
Speed stopped being the hard part of recruiting years ago. The hard part is knowing whether a candidate is right, and that's where most processes quietly fall apart.
We start by understanding what success in this role actually looks like: the context, constraints, and non-negotiables that never make it onto a JD.
The TalentCursor Engine works LinkedIn, Naukri, GitHub, and referral channels around the clock, surfacing patterns no manual search could keep up with.
A senior recruiter reviews everyone who reaches your desk. No one is ranked by an algorithm and forwarded without a second look.
You receive assessed, validated candidates and our read on each one. Decision-ready, not a pipeline to manage alone.
For organizations where a wrong hire is expensive, a slow hire is costly, and a right hire changes the trajectory.
Fast doesn't mean shallow
Some roles can't be rushed
India's engineering depth, without the entity setup
Need a custom engagement model? Let's talk.
This is what comparing candidates actually looks like, not a ranked list, a recruiter's honest read on each one, side by side.
For organizations that treat tech, AI, and product hiring as a strategic decision, not a transactional one.
Move fast without sacrificing quality. Build your founding team with precision when it matters most.
Scale your engineering and product teams with candidates who match your technical bar and culture.
Structured hiring support as you scale, without the overhead of building an internal TA function first.
We work with a focused number of clients at any time. Not because of capacity, but because the work requires it. If you have a mandate worth getting right, we would like to hear about it.