Candidate
More applications. Less feedback. Lower trust.
01 / PROBLEM
Every stakeholder is flooded before relevance is known. TheRecAI protects human judgement by moving context, readiness, and coordination upstream.
Core pain: attention is spent before signal is confirmed.
Inbound activity
High volume
ATTENTION SPENT
before
RELEVANCE KNOWN
Only then: relevance discovered
More applications. Less feedback. Lower trust.
More inbound. Less clarity on fit or readiness.
More chasing. Less time for judgement.
More activity. Slower trusted shortlists.
02 / PROMISE
TheRecAI assigns agents to handle context, screening, follow-up, readiness, and coordination before human attention is required.
Before human handoff
Context captured before meetings
Readiness tracked before outreach
Follow-up handled before momentum is lost
Human attention reserved for judgement
Outcome: humans enter the process with context already prepared.
Captures goals, readiness, constraints, and follow-up.
Prioritizes signal, handles chasing, and keeps context current.
Digital managers in sync
Share context. Move hiring forward.
Clarifies fit, role needs, feedback, and decision criteria.
Preserves company-side memory across roles, teams, and shortlists.
03 / PRODUCT
The product is a hiring coordination layer, not another database or job board.
Employer and manager context is captured.
Candidate constraints and proof are structured.
Representatives negotiate relevance before escalation.
Recruiters and managers receive fewer, better moments.
04 / BEACHHEAD
The wedge is BFSI sales and relationship hiring below senior bands, where speed, fit, and follow-through matter daily.
The category has repeatable demand, high coordination load, and a clear need for faster trusted shortlists.
05 / MARKET
The market is the recruiting workflow that can shift from manual coordination to agent-managed systems.
TAM
₹24,800 Cr/year
100%
SAM
₹9,920 Cr/year
≈40% of TAM
Beachhead
₹2,300–3,100 Cr/year
≈23–31% of SAM
TAM
₹24,800 Cr/year
High-volume hiring workflows in India.
SAM
₹9,920 Cr/year
Under-₹15 LPA sales and relationship hiring across high-volume sectors.
Beachhead
₹2,300–3,100 Cr/year
BFSI sales and relationship roles under ₹15 LPA.
Estimates are annual platform revenue opportunity based on current model assumptions; beachhead focuses on BFSI sales and relationship roles under ₹15 LPA.
06 / BUSINESS MODEL
The model combines candidate value, employer role access, and outcome revenue without turning the deck into a spreadsheet.
Recurring career-manager value for active candidates.
Employer-side platform access while roles are open.
Outcome revenue when successful hires close.
07 / ECONOMICS
Detailed outputs belong in Projections, where assumptions, cash timing, and funding logic remain editable.
Use the projections workspace for output totals, funding range, cash timing, and assumption sensitivity.
Open projections08 / GTM
Employer demand, candidate flow, data quality, and recruiter leverage reinforce one another.
Employers bring roles
Roles create candidate flow
Candidates convert
Data improves matching
Agents accelerate screening
Successful hires bring more roles
09 / Competition
The wedge is not another list of candidates. It is a coordination layer that reduces noise before attention is spent.
Human judgement
Manual execution limits scale.
Broad reach
High noise and weak workflow control.
Agent coordination
Relevance is negotiated before human attention is spent.
10 / TEAM
Tech operations, AI reliability, and employer acquisition are the execution pillars for this stage.
Tech Ops
IIT Bombay alumnus with 3+ years running a recruitment agency, now turning deep hiring-workflow experience into an AI-led recruitment platform.
Cofounder placeholder
Placeholder for the AI reliability leader who will own agent quality, factuality, evaluation, and workflow trust.
Cofounder placeholder
Placeholder for the employer acquisition leader who will own BFSI wedge sales, client expansion, and recruiter network leverage.
11 / FUNDING
The ask is driven by the maximum modeled deficit plus an editable buffer, not static deck copy.
The round is based on maximum modeled cash need plus an editable buffer, not fixed deck copy.
12 / PROOF
The ladder is scale, trust, recruiter leverage, and repeatable employer outcomes.
Operating units
Paying candidates
Active companies
Role-months
Recruiter leverage
Successful hires
Detailed proof target calculations stay in the Projections view.