Halloway · Recruiting intelligence platform

Most AI recruiting tools are just LinkedIn with a chatbot on top.

Halloway isn't. It understands careers, not just profiles. It learns from every hire your team has ever made. And it tells you why someone fits, not just that they do.

Describe who you want. Get a match label with a plain-English reason. Watch the results get sharper every time a hiring manager says yes or no.

< 5 min

Found to messaged

London

market mapped entirely

4s

ICP from JD via AI

Compounds

with every yes, no, and reply

01

What you're used to

Keyword search over a profile index

01

What Halloway does differently

Search that understands what someone actually built and when

02

What you're used to

A score with no explanation

02

What Halloway does differently

A match label with a plain-English reason attached

03

What you're used to

A snapshot of who someone is today

03

What Halloway does differently

A career modelled over time, queryable at any point

04

What you're used to

Filters you configure and maintain

04

What Halloway does differently

A model that learns from every real hire your team has made

05

What you're used to

Email blast to a shortlist

05

What Halloway does differently

Outreach written around what the platform actually knows about that specific person

Built for the people who own the hire.

In-house recruiters

The brief lands Monday. You need the shortlist by Thursday. Halloway truly understands your org and gets you there without the tab-switching.

Agency consultants

All of your roles, all of your clients, one dashboard. Per-client signal that compounds the longer you work with them.

02 · Reinforcement

Your taste, encoded. Not a filter — a model.

Every time a hiring manager clicks yes or no, Halloway updates what it knows about what works for your team. Not rules you write. Signal from real decisions.

In-house

We map your current team. The graph models who you have, who thrives, who left, who you promoted.

Agency

We map your client's team. RL is calibrated per-client — Stripe's signal is not WeWork's signal.

Per-project

Every project carries its own ICP and its own RL state. The signal compounds.

Transparent

'RL using Stripe placement history (2 prior + 4 this project).' You see exactly what's calibrating.

Get the loop running on your team

ICP · Head of Platform — Q3

RL active · 7 signals

Kubernetes (demonstrated)

MUSTRL +12

0→1 builder archetype

STRONGRL +9

On-call ownership

STRONGRL +4

AWS certifications

NICERL -18

Enterprise-only background

EXCLUDERL -24

CTO clicked Yes on Maya Okafor → Kubernetes demonstrated confidence rose to 94%. 0→1 builder weight up. Two new candidates entered the top 5.

03 · Talent graph

Every other platform stores a snapshot. We store a career.

Not just where someone works today. What stage the company was at when they joined. Who they reported to. What they actually built. How that changed over three years. Halloway can find who someone was becoming, not just who they are right now.

  • Company-anchored mapping. Context, not keywords.
  • Confidence intervals on every trait. 'Unknown' beats 'wrong'.
  • Queryable at any point in time. Who they were becoming.
  • Built for humans and AI to traverse natively

Career view · Maya Okafor

Maya Okafor

Person

Monzo

Series A · 32 people

CTO

Reports to

On-call lead

Within 8 months

Platform & K8s

What she shipped

Series C

When she left

2021

Joined · Series A

2022

On-call lead

2024

Left · Series C

Maya joined Monzo at Series A (32 people). Became on-call lead within 8 months. Reported to the CTO. Left at Series C. Confidence: 0.94.

That's a different candidate than “Senior Platform Engineer at Monzo.”

04 · Platform

Found to messaged in under five minutes.

Search, projects, dynamic ICP, extension, outreach, email unlock, and ATS sync. The entire path from brief to message in one workflow. No tab-switching.

Projects

Named searches that compound.

Every hire is a project: ICP, pipeline, outreach, RL. Re-open it months later and the platform remembers.

ICP · Pipeline · Outreach · RL

Dynamic ICP

From kickoff to calibrated in 4 seconds.

Paste a JD or describe the role. Halloway extracts the profile, exclusions included, in seconds.

JD upload · Free text · Kickoff notes

Chrome extension

Ambient capture, in your flow.

Browse LinkedIn. Know instantly if they're in the graph, which projects they match, and their label. No new tab required.

MV3 · Sidebar · One-click sync

Outreach

Graph-personalised. Sent from your inbox.

Sequences from Gmail and Outlook. Every draft references what the platform knows about that candidate, not a mail-merge.

Email unlock

Contact details on your shortlist.

Find verified email addresses for the candidates you've already shortlisted. No wasted lookups on people who don't fit.

ATS sync

Real-time where webhooks exist. One-click for the rest.

Match label and explanation travel with every candidate to Greenhouse, Ashby, Bullhorn, and 30+ more.

05 · Agency mode

Your client's team, mapped before the kickoff call.

You already know who your clients hire. Halloway just makes that knowledge computable.

Retained for Stripe again? The project opens with your prior placements already mapped, Stripe's team already understood, and the model tuned to what actually placed there. You're not starting from zero. You're starting from 80% done.

  • Bring your Bullhorn or Vincere — AI-mapped CSV import, enriched overnight
  • Per-client RL state: Stripe's signal is not WeWork's signal
  • Morning brief: '47 candidates in your imported DB are Excellent matches for active projects'
  • White-glove shortlists with shareable, login-free Collaborator view

Project · Head of Engineering — Stripe

Stripe-calibrated RL

Client signal

RL using Stripe team graph · 2 previous placements found in your history. ICP weights pre-tuned to Stripe's known engineering profile.

Sourced

52

Contacted

30

Replied

11

Exclusions honoured

Hiring lead: “No one who needs a lot of process to do great work.” → 8 candidates suppressed before surfacing.

06 · Pricing

Join the founding cohort. Pricing stays locked.

The founding cohort shapes the roadmap directly. We ship weekly and every member gets a direct line to the team building it.

Founding pricing is annual, billed up front, and locked for as long as you stay.

Seed

£1,250

per month, billed annually + VAT

0–25 employee startups and boutique tech agencies. The founder seat.

  • Full Talent Graph + Search
  • Unlimited Projects + Dynamic ICP
  • Chrome Extension + Outreach
  • Email discovery on shortlist
  • 1 ATS sync: Greenhouse, Ashby, Lever, or Bullhorn
  • Founder-level onboarding
Apply for Seed

12–18 month tier · auto-graduates to Base at renewal

Most popular

Base

£2,500

per month, billed annually + VAT

Series A, 26–100 employees. The default tier for in-house talent teams.

  • Everything in Seed
  • 5 seats · Collaborator views unlimited
  • Agency Mode + per-client RL
  • Bullhorn / Vincere bulk import + overnight enrichment
  • All 30+ ATS via Merge.dev
  • Priority enrichment credits
Talk to us

Most popular · everything Seed has, more headroom

Enterprise

Custom

Series C+, multi-region, regulated

Multi-team, multi-region. Data residency. Dedicated support.

  • Everything in Base
  • Unlimited seats + SSO
  • Dedicated tenant + data residency
  • Custom ATS field mapping
  • Solutions engineer + named CSM
  • Custom enrichment SLAs
Contact sales

EU/UK + US residency · SAML SSO · custom DPA

GDPR and CCPA compliant · UK and US data residency

Get early access

Join the founding cohort. Build with us.

Founding members get locked pricing, founder-level onboarding, and a direct line to the team building it. Book a demo. We ship weekly.

Opens our scheduler in a new tab. No newsletter, no spam.