Kepler vs Recruiterflow: which recruitment CRM should an agency buy in 2026?

What Kepler and Recruiterflow each are

Recruiterflow is an ATS and CRM for search and recruitment firms, and describes itself as “the only recruiting CRM built to future-proof your search business”. Its website states that 2,100+ search firms use it. The product is organised around three things: an integrated ATS and CRM, a multichannel sequencing engine Recruiterflow calls “the most powerful sequencing engine out there, period”, and AIRA — a suite of AI agents, each scoped to one recruiting task. Around those sit automation recipes, a Chrome sourcing extension, reporting and business intelligence, an open API and roughly thirty integrations.

Kepler is a recruitment CRM built around a single assistant and a database you can actually search. Rather than a separate agent per task, Kepler has one chat sidebar available on every page, with roughly fifteen tools behind it: it searches candidates, CVs, notes and conversations, ranks a pool against a job, answers questions about the desk, explains where a fact on a record came from, and drafts messages — writing nothing until a person approves it. Around that sit the ordinary parts of an agency desk: pipelines, jobs, tasks, Gmail and Outlook sync, calendar and booking links, a meeting notetaker, CV parsing and CV formatting onto your own branded template, campaigns, an automations register, reporting on real placements, a branded job board, a LinkedIn Chrome extension and a public REST API with webhooks.

Both products sell to boutique and mid-size agencies, and the differences that decide the purchase are not in the feature grid: they are in what outbound has to do for your desk, and in how the AI is packaged and priced.

The honest headline difference: where the AI sits in the price

Recruiterflow publishes two plans. The Platform Plan, at USD 119 per user per month billed annually as of 6 September 2026, is a complete ATS and CRM with multichannel sequences, automation, Chrome-extension sourcing, reports and API access. The AIRA Plan carries all of that plus the AI — the notetaker, the matchmaker, job change alerts, the field updates agent, the submission agent and the task agent — and Recruiterflow’s pricing page gives its price as “Let’s chat custom pricing”.

Kepler publishes one price: USD 119 per user per month billed annually, which is USD 1,428 per seat per year. There is one edition, every feature is included, and there is no tier above it. The assistant, the matching, the notetaker and the field-update proposals are all inside that figure, with a monthly AI allowance; additional AI capacity is available on request.

Recruiterflow’s pricing page is explicit that within a plan there are no add-ons — “No add-ons. No surprises. No extra costs” — and every current and future AIRA agent is included once you are on the AIRA Plan. That is a good policy and worth saying so. The difficulty for a buyer comparing totals is narrower than “they are expensive”: the plan carrying the capability most agencies are shopping for in 2026 is the one without a published number, so the comparison cannot be finished from the website.

How much does Recruiterflow cost?

Recruiterflow publishes its pricing, which makes it one of the more transparent vendors in this category. The figures below were read from recruiterflow.com/pricing on 6 September 2026.

Migration is priced differently by the two vendors and is the difference most likely to surprise a buyer. Recruiterflow’s own pricing FAQ offers a free self-serve Excel or CSV import, or a paid white-glove migration in which their team migrates and maps the whole database; Recruiterflow states that the paid option is “typically completed in 6–8 weeks”, that pricing depends on data volume, and that a fee waiver can be discussed on multi-year contracts. Kepler’s migration is free on every plan however large or messy the export, and Kepler does the extraction, mapping, de-duplication and validation itself.

Neither vendor charges by database size, which is worth knowing if you are coming from one that does: Recruiterflow’s Platform Plan lists unlimited jobs, candidates, contacts and companies, and Kepler has unlimited records and storage with no per-record or per-contact charge.

How does Recruiterflow’s AI compare with Kepler’s?

This is where a vendor’s comparison usually stops being useful, so here is the flat version: on AI capability the two are close, and several things Kepler would like to claim as differentiators are not differentiators against Recruiterflow.

Search corpus. Kepler’s search is hybrid semantic and keyword retrieval across candidates, CVs, notes and conversations rather than structured fields alone. Recruiterflow’s Ask AIRA reads, in their own description, “resumes, notes, emails, call logs, activity history, LinkedIn, even external data”. Close to the same corpus, and Kepler does not win it.

Matching. Kepler ranks a pool against editable per-job criteria and shows a pass-or-gap verdict for every requirement with the evidence behind it. Recruiterflow’s AIRA Matchmaker also derives criteria per job, also lets a user rewrite them in plain English, and returns a criteria score with what Recruiterflow calls “Fit Score reasons”; their Ask AIRA write-up describes results showing “What matched. What partially matched. Where the gaps are.” Close to parity again.

Field updates from conversations. Kepler turns emails, calls and messages into proposed field updates and tasks that a person approves or rejects. Recruiterflow’s Field Updates Agent does the same job, and its help centre documents a choice per field: “Choose whether AIRA updates profiles automatically or suggests changes for your review.” Recruiterflow arguably offers finer control here than Kepler, which always proposes.

Meeting notes. Both products have a notetaker that joins the call, transcribes it, summarises it and files the result against the record. The only honest difference is packaging: AIRA Notetaker is on Recruiterflow’s AIRA Plan and Kepler’s is inside the single USD 119 price.

Where the AI actually differs is its shape. Recruiterflow’s model is a specialised agent per task, each configured and switched on separately — a notetaker, a matchmaker, a submission writer, a task extractor, a field updater, a researcher. Kepler’s is one assistant in a sidebar on every page that does all of those jobs behind a single conversation and a single approval step, can be handed a specific record with an @-mention, returns results as record sets you can save as a list, and can be paused and resumed mid-run. Which shape suits you is a preference rather than a ranking: a fleet of agents is easier to govern one at a time, and one assistant is easier to ask a question you had not anticipated.

Where Recruiterflow is the better product

Recruiterflow is ahead of Kepler in six places, and none of them are small.

• Multichannel outbound sequencing. This is Recruiterflow’s core strength and it is not close. Its sequences run email, calls, SMS and professional networking platforms natively inside the CRM, with branching logic — in their words, “connected contacts get a message, everyone else gets a connection request or email automatically” — plus channel- and step-level tracking. Kepler has campaigns: multi-step outbound email sequences with audiences, delivery windows, exit criteria, reply classification and stage write-back on reply. That is where Kepler stops, and Kepler has no SMS anywhere. If your desk runs on sequenced outbound across channels, Recruiterflow is the correct choice.
• Sourcing. Recruiterflow sells access to candidate discovery: AIRA Source covers 850M+ profiles from inside the product, and phone and email finder agents return verified contact details. Kepler has no sourcing database of its own and does not sell access to a pool of profiles; its LinkedIn extension solves the inverse problem, telling you whether the person on screen is already yours and what has changed since you last looked.
• Job distribution. Recruiterflow posts jobs out to the major boards, including LinkedIn, Indeed and Glassdoor. Kepler publishes to its own branded job board on your domain and nowhere else — no Broadbean, no idibu, no LinkedIn Recruiter posting.
• Business development as a data model. Recruiterflow has deals — opportunities with a monetary value, moving through a customisable pipeline whose stages each carry a probability to close, with velocity reporting on top. Kepler has no opportunities object and no weighted deal value.
• Interview scorecards. Recruiterflow attaches scorecards to pipeline stages, with a decision scale and per-interview notes, and can pre-attach them to every new job through a default pipeline. Kepler has none.
• Evidence that it works at scale. Recruiterflow publishes a dozen named customer case studies and states that 2,100+ search firms use the product. Kepler has no paying customers yet and no case studies. For a buyer who needs references before signing, that is decisive today and no product argument substitutes for it.

Recruiterflow also ships custom BI dashboards on its AIRA Plan. Kepler reports on billings, delivery and consultant splits read from real placements, which is narrower than a general report builder.

Where Kepler is the better product

Four areas, clustered around what a database costs to own rather than what a workflow can do.

• One published price with the AI inside it. Kepler is USD 119 per user per month billed annually — one edition, every feature included, unlimited records. The assistant, matching, notetaker and field-update proposals are not on a plan above it because there is no plan above it. Recruiterflow’s equivalents sit on the AIRA Plan, whose price its website does not publish.
• A migration that is free and done for you. Kepler does the extraction, mapping, de-duplication and validation itself on every plan, rebuilds custom fields as real fields rather than flattening them into notes, and carries activity, stages and history across. Recruiterflow offers a free CSV self-import or a paid white-glove migration typically completed in six to eight weeks. The parsing engine behind Kepler’s migration is ported from RemakeCV — our own product, which 300+ recruitment agencies use — so it has been reading real agency CVs for years rather than being written for this launch.
• Provenance and reversibility at the level of the field. Kepler keeps history per cell, records the source of every AI-suggested change, lets you restore an earlier value, and uses optimistic concurrency so that when two consultants edit one record the stale write is refused rather than silently applied. Recruiterflow documents a profile activity log and a run history for its automated agents; per-cell history, undo and concurrent-edit handling are not described in its help centre.
• A careers page on your own domain. Kepler publishes your roles on your own domain, server-rendered and indexable, with structured data on every role, and applicants are parsed and scored as they arrive. Recruiterflow hosts the careers page at recruiterflow.com/<company-name>/jobs; its help centre’s alternative for your own site is an iframe embed or building a page against the Recruiterflow API. If you want the search authority those pages accumulate to belong to your agency rather than your software vendor, that distinction compounds every year.
• One place to see what runs by itself. Kepler keeps a single register of every automatic behaviour in the workspace — what each one reads, what it writes, when it last ran, and a switch to turn it off. Recruiterflow has automation recipes in settings and a separate activities view for its automated AIRA agents: the same information in two places rather than one.

Which one is right for your agency?

Choose Recruiterflow if outbound sequencing is how your desk generates revenue and you need one sequence running across email, SMS, calls and LinkedIn with branching logic. Choose Recruiterflow if you want to source new people from a large profile pool inside the tool rather than work the database you already have, if you need jobs posted out to LinkedIn, Indeed and Glassdoor, if you need a business-development pipeline with a win probability per stage or interview scorecards, or if you need customer references you can call before you sign. Recruiterflow ships all of that today and Kepler ships none of it.

Choose Kepler if your bottleneck is the database you already own rather than the outreach on top of it — years of CVs, notes, email threads and call transcripts that no keyword search reaches. Choose Kepler if you want the AI in the price you can read on the website rather than in the plan above it, if you want to see and reverse what changed on a single field and where the change came from, if you want your job pages on your own domain, or if the thought of paying for a migration and waiting six to eight weeks for it is the reason you have not moved off your current system.

A blunter version: Recruiterflow is the better buy for an agency whose growth problem is reach; Kepler is the better buy for an agency whose growth problem is that it cannot find what it already has, and which would rather pay one price than negotiate two. One caveat in both directions: Recruiterflow has 2,100+ paying firms behind it and Kepler has none yet, so an evaluation that weights track record heavily points at Recruiterflow.

Can you migrate from Recruiterflow to Kepler?

Yes, and Kepler runs the migration for you on every plan rather than handing it over as a spreadsheet and a login. You send an export from Recruiterflow plus any loose CVs, spreadsheets and shared-inbox archives that never made it into the CRM; Kepler handles extraction, mapping, de-duplication and validation, and rebuilds your custom fields as real fields rather than flattening them into notes.

Before the full load you review fifty of your own records fully parsed — your people, not a demo set — and anything wrong is corrected and re-run. Activity, stages and history come across alongside the records, so the desk keeps its memory. Kepler’s migration is free on every plan regardless of how large or messy the export is, and the timing Kepler commits to is “in days”. Kepler also exports the whole workspace on request at any time with no exit fee.

Moving the other way is also possible: Recruiterflow offers a free Excel and CSV importer and a paid white-glove service, and both products have a public API with webhooks.