NewAI training for your recruiters

We build AI for recruiting firms.

Custom recruiting CRMs, sourcing agents, and matching engines your firm owns outright. Built by a team on its third recruiting-tech company.

Who we build for

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01

Agencies and staffing firms

We build AI on your data and workflows to win margin back.

02

Founders, building recruiting products

0 to MVP with a team that has shipped this exact category three times.

03

HR tech companies ready for AI

Your engineers know your product. We know where recruiting AI breaks in real use.

Expertise
10 years
Building recruiting technology
Trust
60+
Recruiting teams and agencies served
Method
2–4 weeks
From scoping call to a finished AI tool
Outcome
Yours
The product, the code, the IP.
Custom CRM

Build your own recruiting CRM.

Start from the CRM your team knows, tick the features you need, and see a price range in 2 minutes. Fixed price, no seat fees, and the code is yours.

CRMs we've replaced:

  • Loxo
  • Bullhorn
  • Recruiterflow
  • JobAdder
  • Vincere
Price my CRM in 2 minutes
Painting of a sunlit hall with tall arched windows and plants The CRM configurator's price step: $18K to $27K, compared with three years of Loxo

Case studies

AI SDR for Recruiting

United StatesEmbedded team
Sunlit open-plan office with wooden desks and plants Case studies

AI business development engine for recruiting. Booking 7–9 calls/week.

A 3-partner recruiting agency was spending 60% of their time on client hunting, inbound inquiries, and candidate speccing. We built a set of AI agents that automated the workflow and passed only qualified prospects to the partners for demos.

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People at café tables on a sunny hillside terrace Case studies

Prompt-based matching replaced with a scalable scoring platform on AWS.

A resume screening platform had outgrown a single-prompt setup. We migrated it to AWS and rebuilt matching from the ground up with a scalable engine and real scoring logic.

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AI resume screening platform

United StatesBackend rebuild

Curated talent marketplace

United StatesEmbedded team
Painting of a seedling growing by a puddle outside an office building Case studies

AI vetting and matching layer shipped from zero to MVP in 1 month.

A curated talent marketplace needed vetting, skill evaluation, and client-to-talent matching at the core of its product. We built the full AI evaluation layer and shipped the MVP as an embedded product team.

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We've built these twice already. Yours is the fast version.

AI Matching & Search

Your next placement is already in your database.

Every new role scored against every candidate you own. It learns from your placements, client feedback, and interview notes.

Sourcing

Sourcing without seats, quotas, or renewals.

An agent reads the req, searches the market the way your recruiters would, and messages the ten people worth messaging. It runs around the clock.

Painting of green hills looking out over a city Jellie sourcing search: describe who you're looking for
Enrichment

Half your database changed jobs. Find out which half.

A tool that refreshes every profile you own. Job changes surface as signals: a candidate back on the market, a past placement now hiring. Run it once or keep it always on.

Painting of a seedling growing by a puddle outside an office building Enrichment timeline showing a detected career move
Screening

Every applicant, scored against the role.

Every requirement is scored on its own, and the ranking follows rules you set. Your recruiters see why each candidate ranked where they did.

Painting of a sunlit hall with tall arched windows and plants Candidate activity feed with automated outreach
Business development

Pitch your best candidates to the companies hiring.

Open roles at your clients and prospects, each matched to a candidate worth pitching. Hiring signals and warm paths through people you've placed decide who hears from you first.

Painting of a garden path between lavender and shrubs Candidate matches by company, with lead source and outreach status

From first call to a working AI tool in 2–4 weeks

  1. 01

    Scoping call

    We dig into your workflow, your data, and the outcomes that matter most. 30 minutes, no pitch deck.

  2. 02

    Fixed proposal

    Usually within 48 hours of the call: the scope, a fixed price, and a delivery date.

  3. 03

    Build in the open

    You see working software from week 1, and course-correct while it's cheap.

  4. 04

    Ship and hand over

    We launch it, document it, and train your team. You own everything.

This is our third recruiting-tech company

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Founder-level team

You work directly with technical founders who have built and sold recruiting-tech companies.

We ran what we build

Our own sourcing, matching, and enrichment platform served 60+ agencies.

Recruiting-native

10 years building recruiting tech. We speak ATS, MPC, splits, and pass-through rates.

Frequently asked questions

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Engagement

Most full custom CRMs cost $25K to $55K. A single AI tool on its own starts at $5K. You get a fixed price in a proposal before work starts, usually within 48 hours of the scoping call. Building a CRM? Price it in 2 minutes.

You own the code and can run it with any team. Some keep us on for changes and new features, paid by the month and cancellable any time; others take it fully in-house.

Yes. We ship alongside in-house teams regularly, as builders or as reviewers of what your team builds.

A first week of one-hour conversations with the people who run your desks, then a meeting once or twice a week and a Slack channel for questions. Your recruiters come back in at handover for training.

Yes. Some clients start with a paid architecture review or a one-week feasibility sprint on their data.

Weekly demos mean you'd know after the first one, not at handover. The price is fixed, so if we're wrong about what can be built, that's our cost. If we have doubts, we'll say so on the scoping call, before you spend anything. Every build also has a two-month guarantee.

Pick the one that scores candidates against each client's real requirements, finds matches already in your database, and works with the ATS or CRM you run today. Small firms that want an all-in-one ATS usually look at tools like Manatal, Loxo, or Bullhorn. A custom engine suits firms with years of placement history, because it works from that history. Whichever you choose, test it on your own past jobs, and make sure your recruiters can see why it ranked someone. Build vs buy: the full comparison.

Data, security & integrations

Everything we build runs on an account in your name. We access what the build requires, nothing else, under NDA and a DPA from day one. When the engagement ends, we hold no copies.

On accounts in your name, which we set up for you. Your candidate data never passes through us.

Builds are designed to your compliance obligations: data minimization, retention rules, right-to-erasure flows, and records of processing where required. As the builder, we make the system capable of compliance; your DPO or counsel confirms your processing basis.

Any system with an API, and several without one. Bullhorn, JobAdder, Loxo, Recruiterflow, and smaller systems. On the scoping call we confirm how we'll reach your data.

Yes. Many firms keep Bullhorn as the place their data lives and add matching on top of it. We connect to any system with an API, including Bullhorn, JobAdder, Loxo, and Recruiterflow, and score every new job against the candidates you already hold. You skip a data migration, your recruiters keep the screens they know, and you own the engine.

Yes. We build on whatever your data lives in.

Bring us your workflow. Leave with a scope and a timeline.

30 minutes. The fixed price usually follows within 48 hours.