Candidates
Investor thesis / 2026
Hiring is broken.
AI made it nearly free to apply. Then it made automated screening nearly unavoidable. The result is not a clearer talent market. It is a noisier one.
Reso is the tech-enabled evolution of the recruitment agency: independent specialists working as one coordinated network, with AI underneath the work.
01 / The paradox
AI is reviewing AI.
The candidate uses a model to optimize for the job description. The employer uses a model to rank the optimized application. Increasingly, the system is evaluating its own language instead of the person's underlying capability.
31%of Gen Z respondents reported using bots to apply automatically.22% across all respondents.Source A
23–60%shortlisting advantage in same-model hiring simulations.Controlled resume correspondence study.Source B
45%of Gen Z respondents said AI made it harder to stand out.26% across all respondents.Source A
Hiring teams
More applicants. Less confidence.
A role can attract hundreds—or thousands—of applications before a hiring manager has time to react. Automated triage becomes unavoidable, even when the team would rather understand the person behind the document.Recruiters
More tools. The same fragmented work.
A recruiter still has to recover the context: what the role really needs, who can credibly do it, what was said, and what should happen next. Most software accelerates a task. Very little carries the full search.02 / Signal collapse
The talent is still there. The application pile just stopped telling us where.
The traditional application was never perfect, but it carried friction: a person had to choose, write, and invest time. Generative AI strips that friction away. Volume rises. Written polish converges. The strongest candidate can look like everybody else.
More applications do not automatically create more certainty. Past a point, they create less.
03 / What stays human
The recruiter is not the part we need to remove.
A lot of new recruiting companies start with the same idea: take the recruiter out completely. I understand the appeal. Recruiting can be slow, inconsistent, and expensive. But treating every hire as a workflow to automate misses why the difficult searches are difficult in the first place.
There is room for McDonald's and for a Michelin-star restaurant. They promise different things.
Sometimes all you need is a fast, standardized result. For high-volume, repeatable hiring, a fully automated process may be exactly right. Call it fast food. It has a real market.
Specialist hiring sits at the other end. The brief is nuanced, the best person may not be applying, and convincing them to move takes trust. It needs the care and judgment of a high-touch service.
Customer-service bots make the same point. They are useful until they cannot solve the problem. Then everyone types the same thing: connect me with a human.
Reso is not anti-automation. We are precise about where it belongs.
The machine should handle
Sorting the workCarrying contextPreparing the next stepSchedulingRemembering follow-upsThe recruiter should own
Reading the roomChallenging the briefBuilding trustMaking the caseOwning the outcome04 / The system
Give every recruiter an intelligent back office.
The front of the experience stays human. The back end is optimized by AI. A unified inbox brings the conversations together; Reso Intelligence carries that context from brief to source, interview, and decision—so the recruiter does not have to rebuild the story in every tab.
Reso Brain
A unified inbox for the whole recruiting desk.
Email and logged LinkedIn outreach, calls, notes, candidate history, brief changes, and decisions resolve into one working context. The Brain spots what needs a reply, what has gone quiet, and what is blocking the search—then prepares the next move for the recruiter to approve.
EmailLinkedIn logsCallsNotesDecisions
AttentionUnified inbox6 items
Reply dueMaya replied on LinkedInConversation and role context attachedNow
DecisionTwo profiles are readyData Center Site ManagerToday
Brief changedTravel requirement updatedThree candidate records recheckedReview
Suggested next stepReply to Maya, then review the two profiles.
Understand
Living Brief
Turn a hiring conversation into shared requirements, evidence, and decisions.Find
Sourcing & matching
Read a profile against the real brief and surface the evidence behind the fit.Engage
Outreach & follow-up
Carry contact history forward and bring the right next touch into view.Assess
Interview intelligence
Prepare focused calls, capture evidence, and keep human approval in the loop.Coordinate
Pipeline & scheduling
Keep candidate movement, availability, calls, and decisions in one workflow. Human approval stays in the loop One context layer across the search
05 / The agency, evolved
Keep what agencies do well. Replace the structure around it.
The traditional agency model is built around one desk: one recruiter, one network, and one way into the market. That can work. But when a company needs more reach, it usually has to add more agencies—and inherit repeated briefings, duplicated effort, and candidate flow coming from every direction.
Reso separates the service from that old structure. The client still gets one relationship and a high-touch search. Behind it, the right independent specialists work their own networks in parallel, coordinated by one brief, one workflow, and one intelligence layer.
The craft of a good agency. Better infrastructure underneath it.
06 / Why Reso
The agency still matters. Its old structure doesn't.
Reso keeps the specialists, relationships, and accountability. Then it rebuilds everything around them for a connected, AI-enabled market.
This is not software trying to replace an agency. It is the natural next step for the agency model: distributed reach, shared intelligence, and one coherent experience for the client.
The expertise already exists outside large agencies.
Independent recruiters already hold deep market knowledge and trusted candidate relationships. Reso gives clients a coordinated way to access that expertise instead of finding it one recruiter at a time.
Technology can coordinate what used to require an office.
A shared brief, one candidate flow, and the Reso Brain let autonomous specialists work like one connected search team without forcing them into the same company or the same system of management.
AI gives specialists more capacity without making the service generic.
The back end handles more of the context, follow-up, preparation, and coordination. The front end still feels like a good agency: accountable, informed, and human.
The market is deep tech and mission-critical, on purpose.
Capital keeps flowing into AI infrastructure, data centers, and energy, and the specialist talent to build it hasn't kept pace. Reso is built for the searches generalist agencies can't run.
The simple version
Agency-quality search without the limits of a traditional agency.
Research notes
Evidence behind the thesis.
AGreenhouse 2025 Workforce & Hiring Report
31% of Gen Z respondents reported using auto-apply bots, versus 22% overall; 45% said AI made it harder to stand out, versus 26% overall.
BAI self-preferencing in algorithmic hiringA controlled study found a 23–60% shortlisting advantage in simulations when the same LLM produced and evaluated a resume.
CSignaling in the age of AIA labor-market study found AI improved application tailoring while making that tailoring a less informative signal of worker ability.
DLinkedIn: AI in hiringLinkedIn reports that signal quality at scale—not speed alone—is becoming the central constraint in recruiting.
These sources describe the market problem; they are not Reso performance or traction claims.
Build the system behind better hiring
More intelligence in the process. More humanity in the decision.
Reso is building the operating layer for human-led specialist recruitment—where independent expertise and practical AI work as one.
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