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AI for recruiting

From role open to shortlist in 48 hours.

We engineer the sourcing engine under your desk - search, enrichment, outreach, and screening running around the clock so recruiters close and build relationships, not scroll profiles.

Get your Recruiting & Sourcing blueprint ↳ 30-min audit · zero obligation
The outcome
48 hrs

from a new role to a qualified, contacted shortlist

↳ The Automated Sourcing Engine
[ 000 ]Trusted by operators
ColdIQ
Trigify.io
Apify
Prospeo
Smart Panda Labs
AI Agency Accelerator
GTM Agency
bsquaree
ColdIQ
Trigify.io
Apify
Prospeo
Smart Panda Labs
AI Agency Accelerator
GTM Agency
bsquaree
ColdIQ
Trigify.io
Apify
Prospeo
Smart Panda Labs
AI Agency Accelerator
GTM Agency
bsquaree
[ 01 ]The status quo

What this costs you today.

Recruiting firms spend a fortune building an ATS full of candidates, then source every new role from scratch as if that database didn't exist. The asset you've already paid for sits dormant while recruiters chase fresh leads at full cost.

Every new job order kicks off a fresh sourcing sprint, even though the right candidate is often already in your ATS - placed before, or one rejection away.
Dormant and previously-placed candidates go cold because no one has the hours to re-engage thousands of records by hand.
Recruiters drown in submittal admin, scheduling, and note-taking - the work that keeps them off the phone and out of relationships.
Keyword search misses the candidate who's perfect but didn't use your exact terms, so great people stay buried in your own system.
[ 02 ]What we build for Recruiting & Sourcing

The systems, named and shipped.

Staffing runs on a database that's mostly dead weight - and on recruiters spending their highest-value hours on admin. Agents flip both: they make the existing ATS a live placement engine and hand recruiters back the phone. Top firms are already four times more likely to be running AI inside their ATS; this is what they're running.

★ Flagship · built for Recruiting & Sourcing

Candidate-Rediscovery & Redeployment Engine

Continuously matches every new open role against your entire existing ATS - including dormant and previously-placed candidates - and re-engages the strong passive matches automatically over SMS and email. It turns the database you've already paid for into a live source of placements, and keeps proven performers and rolled-off contractors warm for redeployment instead of letting them go cold.

GTM / Sales

Job-Order Signal Agent

Watches hiring signals, job postings, funding, and headcount moves across your client and prospect base to surface live and imminent job orders, so business development gets to the requisition before the competition does.

Client-Account Brain

A grounded view of each client - their roles, hiring patterns, submittal-to-hire history, and preferences - so recruiters and account managers walk into every conversation with full context instead of digging through notes.

Content / Marketing

Employer-Brand & Job-Marketing Engine

Turns a job order into compelling, on-brand job posts and outreach across channels - written to attract the right candidate rather than recycling the client's bland internal JD.

Candidate-Nurture Content System

Keeps passive and placed candidates warm with relevant, automated touchpoints - market updates, role alerts, check-ins - so your talent pool stays engaged and answers the phone when the right role lands.

Internal Ops

Recruiting Brain

A RAG brain over your ATS records and recruiter notes that matches on context, not just keywords - surfacing the candidate who's right for the role even when their resume never used your search terms.

Interview-Intelligence Agent

Captures and structures interview and screening calls - skills, availability, comp, red flags - straight into the ATS, so the context lives in the system instead of in a recruiter's memory.

Submittal & Scheduling Agent

Drafts client-ready submittals, formats resumes to house standard, and coordinates interview scheduling across candidates and clients - clearing the admin that keeps recruiters off the phone.

[ 03 ]How we build it

Engineered, owned, operated.

Map your workflow

We trace how your team actually works - the inputs, the decisions, the systems - before writing a line. The system of work is the moat, and we engineer it deliberately, not generically.

Build & ship to your repo

We build the agents and the grounded data layer, wire them into your tools, and ship the code into your repository - not a no-code platform you can never leave.

Ground, guardrail, review

Every system answers from your verified data, is gated by guardrails and human review on the decisions that matter, and is backed by evals before you trust it in production.

Host, operate, evolve

We deploy on real infrastructure (Railway, Vercel, Cloudflare), operate it in production, and tune it every month as the models move. Built once, yours forever.

[ 04 ]By the numbers
40-70%

More placements per recruiter within ~3 months of AI-assisted sourcing (2026)

~340%

ROI reported on AI recruiting tooling within 18 months

25-35%

Higher first-year retention from AI-assisted candidate matching

↳ Industry benchmarks, not Anfloy client metrics - we report your real numbers once you're live.

[ 05 ]The offer

The Automated Sourcing Engine

A system that turns an open role into a screened, contacted shortlist - sourcing, enriching, and reaching out while your recruiters sleep, synced back into your ATS.

Get your Recruiting & Sourcing blueprint
+Multi-source candidate sourcing + rediscovery on autopilot
+Enrichment + fit scoring against the brief
+Personalized multi-channel outreach, written per candidate
+First-pass screening + interview scheduling
+Synced to your ATS and owned by you - built once, yours forever
[ 06 ]Why Anfloy

Versus what you'd do instead.

· What matters
· In-house or off-the-shelf
· Anfloy
Time to value
Months to hire + ramp a team, or a SaaS tool that stops at 60%
Shipped in weeks - the full system, not a fraction
The AI
Generic and identical for every customer
Engineered to your workflow, your data, your edge
Ownership
Rented - it lives in their UI, on their terms
In your repo. Built once, yours forever
Where it runs
Their cloud, or your infra as your problem to run
Your infra - deployed and operated by us
Maintenance
Another full-time hire, or you wait on their roadmap
We tune it monthly as the frontier moves
Cost shape
Salaries, or a per-seat tax that scales with usage
A fixed build - an asset on your books, not a tax
Time to value
In-house / off-the-shelfMonths to hire + ramp a team, or a SaaS tool that stops at 60%
AnfloyShipped in weeks - the full system, not a fraction
The AI
In-house / off-the-shelfGeneric and identical for every customer
AnfloyEngineered to your workflow, your data, your edge
Ownership
In-house / off-the-shelfRented - it lives in their UI, on their terms
AnfloyIn your repo. Built once, yours forever
Where it runs
In-house / off-the-shelfTheir cloud, or your infra as your problem to run
AnfloyYour infra - deployed and operated by us
Maintenance
In-house / off-the-shelfAnother full-time hire, or you wait on their roadmap
AnfloyWe tune it monthly as the frontier moves
Cost shape
In-house / off-the-shelfSalaries, or a per-seat tax that scales with usage
AnfloyA fixed build - an asset on your books, not a tax
[ 07 ]Where it plugs in

Wired into your stack.

BullhornGreenhouseLeverLinkedIn RecruiterLoxoSMSGmailOutlookMetaview
[ 08 ]Questions

The honest answers.

Q01

Do we own the engine, or is it Anfloy's product on top of our ATS?

You own it. We build into your repository and deploy on your own infrastructure, connected to your ATS through its API - the matching logic, the re-engagement flows, and the data all stay yours. There's no Anfloy product layer skimming your database and no per-recruiter license. If we parted ways, the engine keeps running on your stack and your team can read and extend it.

Q02

Will candidate outreach feel like spam and burn our database?

It's built to do the opposite - re-engagement is targeted at genuinely strong matches, throttled, and personalized to the candidate's history with you, not a blast to your whole list. You set the cadence, channels, and tone, and a recruiter can stay in the loop on anything sensitive. The goal is to revive relationships you've already earned, so protecting candidate trust is a design constraint, not an afterthought.

Q03

What happens if something breaks?

Because the engine is code you own rather than a no-code black box, a failure is something we can read and fix, and we stay on through a stabilization period after launch. The system is built to fail safe - if a match is low-confidence it surfaces for recruiter review rather than auto-sending, so a glitch never blasts the wrong message to a candidate. You also have kill switches on outreach, so you can pause any flow instantly without touching the rest.

Q04

How long until it's placing candidates?

We start with the rediscovery engine against your existing ATS, where the value is immediate, and aim to have it surfacing matches for live roles within a few weeks. Because it works off the database you already have, there's no long data-collection ramp - the candidates are already there, the engine just makes them findable and reachable. We then layer in submittal, scheduling, and interview intelligence once the core matching is earning its keep.

Q05

Does it run on our infrastructure and connect to Bullhorn/our ATS?

Yes - we deploy on infrastructure you control, typically Railway, Vercel, or Cloudflare, and integrate with Bullhorn, Greenhouse, Lever, Loxo, or whatever ATS you run through its API. Your candidate data stays in your environment rather than copied into a black-box SaaS. You hold the hosting and the credentials, which matters when the data is your candidates' personal information.

Q06

We already pay for AI features inside Bullhorn. Why build custom?

Native ATS AI is improving, but it's confined to what the vendor decides to expose and it's the same for every firm on the platform - no edge there. A custom engine is grounded in your data, your matching logic, and your re-engagement playbook, and it can reach across LinkedIn Recruiter, your nurture channels, and interview intelligence in ways a single vendor's feature set won't. You end up with a placement system tuned to how your firm actually wins, owned by you, rather than renting whatever's bundled into your subscription.

[ 09 ]Other industries we build for
B2B SaaS & StartupsB2B SaaSWe engineer the AI layer around your product - support, onboarding, and renewal signals running in the background so your team stays on the roadmap, not in the queue.RevOpsRevenue OperationsWe engineer the autonomous layer under your revenue stack - enrichment, hygiene, routing, scoring, and forecasting that run without a single manual touch, so reps sell instead of maintaining a CRM.Professional ServicesProfessional ServicesWe engineer the back office of your firm - proposals, intake, reporting, and a firm-wide knowledge base that run in the background so your people stay on billable work.

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