Crelate’s AI looks outward. Kepler’s looks at what you already own.

Crelate is a broad US recruiting platform whose agents source from an external pool of around a billion profiles and keep records enriched automatically. Kepler puts one assistant over the database you already have — the CVs, notes, email threads and call transcripts nobody can currently search — and sells it as one edition with every feature switched on.

The short answer

Crelate is the more complete staffing platform. It ships an optional back office for assignments, timekeeping and invoicing, sources from an external database of around a billion profiles, and has text messaging and a mobile app — and Kepler has none of those. Kepler is the better product when the problem is the database you already own: one assistant that reads your CVs, notes, emails and call transcripts and can act on what it finds after you approve it, matching that shows a verdict and the evidence behind every requirement, and history at the level of the individual field. Kepler publishes one price at USD 119 per user per month billed annually with every feature included; Crelate publishes four tiers, with the AI Assistant from USD 119 and automation, sequences and the full API on a custom-priced Business Plus.

Choose Kepler if
Your real asset is years of CVs, notes, email threads and call transcripts that no keyword search reaches, you want one assistant that answers across all of it and then acts on the answer with your approval, and you would rather pay one price than work out which tier holds the feature you were shown in the demo.
Choose Crelate if
You place contractors and want timesheets, invoicing and pay-and-bill inside the same system — Crelate Deliver does that and Kepler has no back office at all. Or you buy your CRM partly to source: Crelate’s Discovery Agent searches an external pool of around a billion profiles and Kepler sells no candidate database. Add texting and a mobile app, both of which Crelate ships today and Kepler does not.

Last checked 6 Sep 2026 · Written from Crelate's own public documentation and pricing pages. Tell us if we have something wrong and we will correct it.

01

One assistant, the whole database

Crelate’s Co-Pilot is a chat whose available Skills change with the area of the app you are in and the data on the screen. Kepler’s assistant is a sidebar on every page with roughly fifteen tools: it searches the whole workspace, returns record sets you can save as a list, and creates or updates records once you approve the change.

02

Search that reads the conversations

Crelate’s search is full-text Boolean over résumé text, notes and tags, scored by Elasticsearch — their own August 2026 post describes the model writing the Boolean underneath. Kepler retrieves semantically and by keyword together, across candidates, CVs, notes, emails and call transcripts.

03

One edition, no tier to work out

Kepler is USD 119 per user per month billed annually with every feature included, unlimited records and storage, and migration done for you on every plan. Crelate publishes Essentials at USD 85, Business at USD 119, and two higher tiers priced on request.

Side by side

Where the two differ.

Dimensions where Kepler is the stronger product. Crelate is ahead of us on several others — the back office, external sourcing, texting, a mobile app and a certification route on their top tier — and the blog post covers those in full rather than leaving the omission to speak for itself.

Kepler compared with Crelate
Kepler Crelate
The assistant
Scope of the AI assistantWhether it can answer a question that spans records. App-wide sidebar with roughly fifteen tools, reading the whole workspace Co-Pilot chat whose Skills vary by the area of the app and the data on screen
Acting on an answerReading is half the job. Creates and updates records, builds shortlists, saves a result as a list — behind an approval step Generates summaries, emails, job descriptions and interview questions
Which plan the assistant is onWhat the entry price actually buys. Included. One edition, no feature gating AI Assistant from Business ($119); Advanced AI Assistant on Business Plus, priced on request
Finding people you already have
What search readsThe corpus, not the ranking. Candidates, CVs, notes, emails and call transcripts — semantic and keyword together Full-text Boolean over résumé text, notes and tags
How a result is rankedWhy that person came back third. Hybrid retrieval, then a per-criterion verdict against the job’s own brief Elasticsearch relevance — records scored by how closely they match your keywords
Evidence behind a shortlistCan a consultant see the reasoning? A pass-or-gap verdict for every requirement with the line from the record it rests on Résumé summaries from Co-Screen; ranking is the search relevance score
Whether anyone checks the rankerMatching that is never measured drifts. Measured internally against a standing evaluation set before a change ships; the figures are not published No evaluation published
Trusting what is on the record
Field-level historyWhat changed, who changed it, and from what. Per-cell history on every plan, with the source of every AI-suggested change Audit log report; advanced auditing listed as a Business Plus and Enterprise option
Undoing a bulk updateThe test of whether history is real. Undo on the field, with a conflict check before it applies Undoing a spreadsheet import removes records it created; it does not revert records it updated
Two people, one recordThe quiet data-loss bug in most CRMs. Optimistic concurrency, so a stale edit is refused rather than silently applied Not described in their documentation
Automatic profile updatesWhere the change comes from, and what happens next. Your own emails, calls and messages become proposed field updates you approve or reject, with the message attached Insights Agent enrichment from outside data — records stay fresh automatically as people change roles
What gets into the record
Meeting and call notesWho writes them up. Kepler’s own notetaker joins the call and files the summary, next steps and full transcript against the record Calls log as activities; recording and summarisation come from VoIP and notetaker partners
CV parsing at volumeDay one, and every day after. Bulk CV drops and old-system exports parsed into structured profiles, on the engine behind RemakeCV Résumé parsing on every plan; the Résumé Toolbox from Business
Your careers site and your data
Where the jobs are publishedWhose domain accrues the search authority. Your own domain, server-rendered and indexable, with structured data per role Portal hosted at jobs.crelate.com/portal/, embedded on your site by widget or iframe
Public APIWhether you can build against it. Included — scoped keys, read and write rate limits, idempotency Full API and integrations listed on Business Plus, priced on request
Outbound webhooksHow the back office you already run gets told. Included — endpoints with delivery logs and redelivery MCP and webhooks listed among Platform add-ons
Getting in and paying
Published priceWhat you can work out without a call. $119 per user / month billed annually — one figure, one edition Essentials $85 and Business $119 per user / month; Business Plus and Platform on request
EditionsHow many decisions before you can buy. One. Every feature included, no tier above it Four — Essentials, Business, Business Plus, Platform
Records and storageWhether growth costs money. Unlimited records and storage on every plan, no per-contact charge Essentials up to 2 users and 20k contacts; increased data storage on Business Plus
MigrationWho does the unglamorous half. Done for you and free on every plan — extraction, mapping, de-duplication, and 50 of your own records to check first Standard and Advanced migration packages, scoped and priced by your sales contact
The difference in practice

Ask the database a question, not the screen you are on.

Crelate’s Co-Pilot offers Skills that change with the area of the app you are in and the data in front of you, which is a sensible way to make AI useful inside a big product. Kepler’s assistant works the other way round: one sidebar on every page, roughly fifteen tools, the whole workspace in scope. It returns records rather than text, and it writes nothing until you approve it.

Active data engineers in London who have used Kafka in production, available within a month

Found 4 candidates. Three mention Kafka on their CV; one said it on a recorded call last week.

4 candidates
Search results with the source of each match.
CandidateCurrent employerNoticeWhy it matched
Sophia BennettMonarch Analytics1 monthKafka streaming for card transactions at Halcyon CV
Amir HassanNorthwind Capital2 weeksKafka feed for the risk platform CV
James OkaforJuniper Systems3 monthsRebuilt the Kafka clickstream pipeline CV
Oliver ChenNorthwind CapitalImmediateMentioned running Kafka on the 2 Sep call Call note · 2 Sep
Why this person, and not that one

A ranking is only useful if you can read the reasoning.

Crelate ranks search results by how closely a record matches your keywords, and Co-Screen writes you a résumé summary once you are looking at someone. Kepler scores every candidate against the job’s own criteria and shows a verdict on each requirement with the line from the record it rests on — so a consultant who disagrees with the order can see exactly what the system read.

Senior Data EngineerNorthwind Capital · London · Open
Criteria · 4 Re-run
Example matches for a Senior Data Engineer brief. Select a row to read its evidence.
CandidateMatchRole titleCurrent employerSkills
Sophia Bennett92StrongSenior Data EngineerMonarch AnalyticsPython, Spark, AWS, Terraform, dbt
Amir Hassan81GoodData EngineerNorthwind CapitalPython, Spark, EMR, SQL, Airflow
James Okafor74GoodSenior Data EngineerJuniper SystemsSpark, Azure, Databricks, Kafka, Scala
Mei Tan68WeakEngineering Manager, DataAtlas CloudAWS, Leadership, Python, Snowflake
Elena Rossi55WeakAnalytics EngineerFormadbt, SQL, Python, Looker
Oliver Chen49Off specPlatform EngineerNorthwind CapitalAWS, Kubernetes, Terraform, Go

Sophia Bennett

1 of 6

Assessment

A strong fit for the brief. Sophia has run a production Spark platform on AWS and has managed a team through a migration. Financial services exposure is via a payments client rather than a bank.

EmployerMonarch AnalyticsLocationLondonStatusScreeningLatest degreeMSc Computer ScienceEmailsophia.bennett@monarch.exampleProfile

Criteria · 3 of 4

  • Financial services“Two years on a payments client; no bank or fund experience stated.”
  • Python & Spark in productionmust“Built the ingestion platform in Python and Spark, processing 40 TB a day.”
  • AWS data platform“Ran the platform on AWS: Glue, Redshift and S3, with Terraform.”
  • Led a team“Managed four engineers across two squads through the warehouse migration.”

Decision

↑ ↓ next candidate · Esc close

Proposed, not applied

A conversation changes a record. You still get the last word.

Crelate’s Insights Agent keeps records fresh automatically from outside data as candidates change roles, skills and contact details. Kepler works from the inside instead — it reads the emails, calls and messages already on the record, and every change it derives arrives as a proposal with its source attached, which you accept or reject.

Three candidates · this week

Sophia Bennettto me
Today, 09:12

Re: Senior Data Engineer at Northwind

Thanks for sending the details over. The role sounds great, and I can start on 3 October if the timing works for them.

Amir Hassanonline
WhatsApp

Are you still keeping half an eye out?

10:41

I handed my notice in this morning, so I am actively looking now.

10:46
Catch-up call · 14 minJames Okafor · Today, 11:20
Zoom

James · 11:26For my next move I am looking for £105,000. I would want a step up for a move.

ListsData engineers · London Assistant
All candidates Search candidates... Filter Sort Import / Export
Example candidate records. Three cells carry an AI suggested update from the conversations beside them.
CandidateAvailable fromStatusExpected salaryNotice periodCompanyOwnerSkills
Sophia BennettNot setPassive£90,0001 monthMonarch AnalyticsPriya NairPythonSparkAWS+1
Amir Hassan14 Oct 2026Passive£85,0002 weeksNorthwind CapitalPriya NairPythonEMRSQL
James OkaforImmediateNew£100,0003 monthsJuniper SystemsTom ReillySparkAzureKafka+1
Mei TanNot setPassiveS$160,0002 monthsAtlas CloudTom ReillyAWSLeadership
Elena RossiNot setActive€78,0001 monthFormaTom ReillydbtSQLPython+1
Oliver ChenImmediateNew£88,000NoneNorthwind CapitalPriya NairAWSKubernetesTerraform+1
Rahul Menon2 Nov 2026Active£92,0001 monthJuniper SystemsPriya NairPythonAirflowSnowflake
Yuki TanakaNot setPassive¥14,000,0003 monthsAtlas CloudTom ReillyScalaKafkaGCP
Hafiz Rahman20 Oct 2026ActiveS$145,0002 weeksMeridian PartnersPriya NairSQLdbtLooker
Clara NowakNot setNew€84,0001 monthFormaTom ReillyPythonDatabricksSpark+1
Daniel OkonkwoImmediateActive£78,000NoneNorthwind CapitalPriya NairSQLFivetran
Ana Ferreira8 Dec 2026Passive€96,0003 monthsJuniper SystemsTom ReillySparkAWSTerraform
Tomas NovakNot setActive€71,0001 monthMonarch AnalyticsPriya NairPythonSQLAirflow
Grace Adeyemi27 Oct 2026Active£105,0002 weeksAtlas CloudTom ReillyLeadershipAWSKafka+1
Ivan PetrovNot setPassive€88,0002 monthsFormaPriya NairGoKubernetesGCP
Leila HaddadImmediateNew£82,000NoneMeridian PartnersTom ReillyPythondbtBigQuery
Marcus Reid16 Nov 2026Active£98,0001 monthMonarch AnalyticsPriya NairSparkDatabricksAzure
Nadia KaurNot setPassiveS$172,0003 monthsNorthwind CapitalTom ReillyLeadershipPythonSQL
Where the engine comes from

Not a first attempt at parsing CVs.

Kepler's CV parsing and formatting are ported from RemakeCV, our own product, which 300+ recruitment agencies use. The migration that fills your database on day one runs on an engine that has been reading real agency CVs for years, not on something written for this launch.

RemakeCV is a Kepler product. It is the same team and the same code, which is why we are willing to point at it — and it is the only outside evidence on this page, because Kepler itself is new and has no customer stories yet.

Migration

Get migrated in days.
We handle the whole move.

  1. 1. Send us the export

    Whatever your current system gives you, plus any loose CVs and spreadsheets sitting in folders. If you are not sure how to get the export out, we will walk you through it.

  2. 2. We build the migration

    Extraction, mapping, de-duplication and validation — the unglamorous half most vendors leave on your desk. Your custom fields are recreated rather than flattened into notes.

  3. 3. You look at a sample

    Fifty of your own records, fully parsed — your people, not a demo set. Tell us what we got wrong and we fix it and re-run, as many times as it takes.

  4. 4. Everything loads

    The full database goes in, mailboxes and calendars connect, and history backfills onto the right records. We stay on it until your team is working in Kepler.

Pricing

What each one costs.

Kepler

£89 per user / month, billed annually

  • Every feature included — there is no edition above this one
  • Unlimited records and storage
  • Migration done for you, on every plan
  • Monthly AI allowance included; more capacity available on request

Crelate

Essentials $85 · Business $119 per user / month

Crelate publishes four tiers on its pricing page, read 6 Sep 2026. Essentials is $85 per user per month paid annually, capped at up to 2 users and 20,000 contacts, and covers the ATS, the recruiting CRM, the job portal, résumé parsing and sourcing. Business is $119 per user per month, annual or monthly, and is the first tier with the AI Assistant, client and team portals, reports and analytics, and email connections. Business Plus is custom-priced per user and is where automation and sequences, business-development workflows, the Advanced AI Assistant, increased data storage and the full API and integrations sit. Platform pricing is a custom user or site licence, with MCP and webhooks, priority support, increased API limits, advanced auditing and ISO/SOC 2 compliance listed as add-ons and enterprise options.

That is a legible ladder, and for a two-person firm the Essentials tier is genuinely cheaper than Kepler. It is also four decisions rather than one, and the features an agency usually demos — the assistant, sequences, the API — are not on the tier the entry price advertises. Kepler’s single edition is the opposite trade: less granularity, nothing to work out. Crelate’s data migration is quoted separately as a Standard or Advanced package scoped by your sales contact; Kepler’s is free on every plan.

Questions, answered.

Is Kepler or Crelate better for a recruitment agency?

It depends on whether your bottleneck is workflow breadth or the database underneath it. Crelate is the broader platform: it has an optional back office for assignments, timekeeping and invoicing, an external sourcing pool of around a billion profiles, text messaging, a mobile app and a certification route on its top tier, and Kepler has none of those. Kepler is deeper on the AI over your own data: one assistant across the whole workspace rather than Skills scoped to the screen you are on, search that reads emails and call transcripts as well as CVs and notes, matching with a verdict and evidence per requirement, and per-field history with undo. A staffing firm running contractors should look hard at Crelate. An agency sitting on years of unsearchable CVs, notes and email should look hard at Kepler.

How much does Crelate cost compared to Kepler?

Crelate publishes Essentials at USD 85 per user per month paid annually, limited to up to 2 users and 20,000 contacts, and Business at USD 119 per user per month, available annually or monthly. Business Plus and Platform are custom-priced. Kepler is USD 119 per user per month billed annually — USD 1,428 per seat per year — with one edition, every feature included, unlimited records and storage, and free migration. Additional AI capacity is available on request. Both sets of figures were read from the vendors’ own pricing pages on 6 Sep 2026.

Does Crelate have an AI assistant?

Yes. Crelate Co-Pilot is an in-platform chat assistant, and Crelate publishes a set of named capabilities around it — Co-Screen for résumé summaries, Co-Target for competitor recommendations, Co-Interview for interview questions and Co-Create for content and email drafting — plus a Discovery Agent that searches an external pool of around a billion profiles and an Insights Agent that enriches your records. The Skills available in Co-Pilot vary with the area of the app you are in and the data on the screen, and the AI Assistant starts on Crelate’s Business plan. Kepler takes a different shape: one assistant in a sidebar on every page, reading the whole workspace, able to write changes back once you approve them, and included in the single price.

Does Crelate do timesheets and invoicing, and does Kepler?

Crelate does and Kepler does not. Crelate Deliver handles assignments, timekeeping, invoicing and payroll export inside the platform for firms with lighter contractor volume, and Crelate names back-office partners such as People 2.0, Bilflo and GorillaWorks for firms that outgrow it. Kepler has no timesheets, no invoicing, no payroll and no back office of any kind, and no plan to pretend otherwise: the integration story is a public REST API and outbound webhooks, both included in the single price, so the pay-and-bill system you already run can be fed from Kepler. If you need pay and bill inside the CRM itself, Crelate is the correct choice and this page will not argue with that.

Which one has better search over my existing database?

Crelate’s search is a full-text Boolean query over résumé text, notes and tags, with results scored by Elasticsearch on how closely each record matches your keywords; Crelate’s own August 2026 post on Boolean versus semantic search describes their model writing the Boolean query underneath a natural-language prompt. Kepler retrieves semantically and by keyword together, over candidates, CVs, notes and conversations — including the email threads and call transcripts attached to a record. For an agency whose institutional memory is mostly in email and transcripts rather than in structured fields, that difference in corpus is the whole comparison.

How hard is it to move from Crelate to Kepler?

Kepler runs the migration for you and it is free on every plan. You send an export from Crelate plus any loose CVs, spreadsheets and shared-inbox archives; Kepler handles extraction, mapping, de-duplication and validation, and rebuilds custom fields as real fields rather than flattening them into notes. Before the full load you review fifty of your own records fully parsed, and anything wrong is corrected and re-run. Activity, stages and history come across, not just names and email addresses. Crelate quotes its own migrations as a Standard or Advanced package scoped by a sales contact, which is the usual arrangement in this market; free on every plan is not.

See it run on your own database.

Bring your hardest search to a 15-minute call. We will run it live, on real records, and talk through what a migration would look like.