Sophia Bennettto me
Today, 09:12Re: 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.
Kepler vs Carerix: the AI-first choice. Ask Kepler’s AI Chat about anything in your database, at one published price.
Kepler is a recruitment CRM you can talk to. Ask AI Chat about anything in your database and it finds candidates, ranks them for a job and updates records once you approve. Carerix sells four editions, all quoted after a demo, and its Private AI is fenced to candidate, vacancy and matching support.
The short answer
The difference is how you work.
Kepler is a simple, modern CRM where you ask AI Chat in plain English instead of searching by hand. AI Chat is included on every plan, monthly and annual, with no add-on or upgrade needed.
Carerix’s Private AI is fenced to candidate, vacancy and matching support, so it does not answer questions across your whole database.
- Choose Kepler if
- You want a simple, modern CRM with the AI included. You would rather ask a question than build a search, see a 0 to 100 score with the reason behind it, and share the shortlist in a portal where the client rates and comments. You want history and undo on every field, a careers site on your own domain, and one published price of USD 99 per user per month billed annually, with the migration done for you.
- Carerix is built for
- A Benelux staffing platform sold in four editions, with a family of portals and connectors to Dutch software.
Written from Carerix's own public documentation and pricing pages, . Tell us if we have something wrong and we will correct it.
Longer reads: the full Carerix review and the best Carerix alternatives in 2026.
Side by side
How Kepler and Carerix compare.
- 13 Kepler ahead
| Dimension | keplerKepler | Carerix |
|---|---|---|
| AI Chat and search | 3 dimensions: 3 Kepler ahead | |
| AI chat |
Kepler
Kepler ahead.
AI Chat on every page Ask about anything in the workspace. It finds, ranks and updates records after you approve. |
Carerix
Fenced to candidates, vacancies and matching Carerix says general questions return an error. |
| AI taking actions |
Kepler
Kepler ahead.
Creates and updates records for you Saves results as a list and drafts emails or automations. Nothing changes until you approve. |
Carerix
Answers, summaries and documents Candidate summaries, interview questions and documents such as an offer letter. |
| Search |
Kepler
Kepler ahead.
Ask in plain English AI Chat searches your CVs, notes, emails and call transcripts. |
Carerix
Global Search and CV keywords One bar across records, plus CV keywords, skills and education. |
| Matching and records | 5 dimensions: 4 Kepler ahead | |
| Matching |
Kepler
Kepler ahead.
A 0 to 100 score for every candidate Criteria come from the job description and you can edit them. Each one shows the line from the CV, call or email behind it. |
Carerix
Automated matching only in Enterprise Deeper AI matching comes from a partner, theMatchBox. |
| CV parsing |
Kepler
Kepler ahead.
CV parsing on every plan Bulk import and formatting, on the engine behind RemakeCV. |
Carerix
Automated CV Parsing from Premium up Not in the Essential or Starter editions. |
| Profile updates |
Kepler
Kepler ahead.
Updates you approve From emails, calls and WhatsApp messages, with the source attached. |
Carerix
A prepared next step CX Sense prepares a message you check and send. WhatsApp AI updates the file as a candidate replies. |
| Field history and undo |
Kepler
Kepler ahead.
History and undo on every field Each AI-suggested change keeps its source. |
Carerix
Not described on Carerix’s pages Messages and calls are logged against the file. |
| Meeting notes |
Kepler
Both have this.
A notetaker for Teams, Zoom and Google Meet It joins the call and files the summary, next steps and transcript against the record. |
Carerix
Both have this.
The Carerix Notetaker Records meetings and live conversations and files a summary against the record. |
| Jobs, clients and integration | 4 dimensions: 2 Kepler ahead | |
| Careers site |
Kepler
Kepler ahead.
On your own domain Search engines can index each job, and applicants are parsed and scored as they arrive. |
Carerix
No careers site of its own Carerix helps you buy one through its partners. |
| Client portal |
Kepler
Both have this.
Clients review your shortlist They sign in from a link, rate candidates 1 to 5, comment and request interviews. |
Carerix
Both have this.
Client portal, only in Enterprise Clients approve or reject candidates, with a reason. |
|
Kepler
Both have this.
Search LinkedIn from Kepler See who is already in your database and what has changed, then add new people. |
Carerix
Both have this.
Recognises profiles you already hold Adds or updates them in one click. |
|
| API and webhooks |
Kepler
Kepler ahead.
REST API and webhooks on every plan Webhooks keep a delivery log and can be sent again. |
Carerix
Only in the paid Datasource bundle Requested through Customer Success. |
| Price and plans | 4 dimensions: 4 Kepler ahead | |
| Price |
Kepler
Kepler ahead.
USD 99 per user per month Billed annually, or USD 129 monthly. The price is on the website. |
Carerix
Every edition quoted after a demo Enterprise, the edition with the portals and automated matching, has no public price. |
| Plans |
Kepler
Kepler ahead.
One plan Every feature included, with unlimited records and storage. |
Carerix
Four editions, each with a task allowance From 1,000 tasks on Starter to 50,000 on Enterprise, with features added edition by edition. |
| Migration |
Kepler
Kepler ahead.
Done for you, free, on every plan Mapping, clean-up, and fifty of your own records to check first. |
Carerix
Not published Carerix does not publish migration terms or a price. |
| Data export |
Kepler
Kepler ahead.
Export everything, any time The whole workspace, with no exit fee. |
Carerix
Data Connector from Premium up Export terms are not published. |
The difference in practice
Ask the whole database, not one file at a time.
Kepler’s AI Chat is a sidebar on every page. It searches CVs, notes, emails and call transcripts across the whole workspace, returns lists you can save, and creates or updates records once you approve. Carerix states that its Private AI is fenced to candidate, vacancy and matching support, and that general questions return an error.
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.
| Candidate | Current employer | Notice | Why it matched |
|---|---|---|---|
| Sophia Bennett | Monarch Analytics | 1 month | Kafka streaming for card transactions at Halcyon CV |
| Amir Hassan | Northwind Capital | 2 weeks | Kafka feed for the risk platform CV |
| James Okafor | Juniper Systems | 3 months | Rebuilt the Kafka clickstream pipeline CV |
| Oliver Chen | Northwind Capital | Immediate | Mentioned running Kafka on the 2 Sep call Call note · 2 Sep |
A shortlist you can explain
Every candidate scored, with the reason attached.
Kepler scores every candidate from 0 to 100 against the job. The criteria come from the job description and you can edit them. Each criterion shows the line from the CV, call or email behind it, so a consultant can see why. Carerix’s Search & Match assistant proposes matches as new candidates and vacancies arrive, automated only in Enterprise, and its deeper AI matching comes from a partner, theMatchBox.
| Candidate | Match | Role title | Current employer | Skills | |
|---|---|---|---|---|---|
| Sophia Bennett | 92Strong | Senior Data Engineer | Monarch Analytics | Python, Spark, AWS, Terraform, dbt | |
| Amir Hassan | 81Good | Data Engineer | Northwind Capital | Python, Spark, EMR, SQL, Airflow | |
| James Okafor | 74Good | Senior Data Engineer | Juniper Systems | Spark, Azure, Databricks, Kafka, Scala | |
| Mei Tan | 68Weak | Engineering Manager, Data | Atlas Cloud | AWS, Leadership, Python, Snowflake | |
| Elena Rossi | 55Weak | Analytics Engineer | Forma | dbt, SQL, Python, Looker | |
| Oliver Chen | 49Off spec | Platform Engineer | Northwind Capital | AWS, Kubernetes, Terraform, Go |
Select a candidate to read the evidence.
Sophia Bennett
1 of 692
judge score
Strong match
3 of 4 criteria met
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.
Candidate
EmployerMonarch AnalyticsLocationLondonStatusActiveLatest degreeMSc Computer ScienceEmailsophia.bennett@monarch.exampleProfileSophia Bennett
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.”
Suggested, then approved
A conversation changes a record. You still get the last word.
Kepler turns every email, call and message into a suggested update or task, with its source attached, for a person to accept or reject. The source stays in the field’s history afterwards. Carerix CX Sense prepares a next step for you to check and send, and its WhatsApp AI updates the file as a candidate replies.
Three candidates · this week
Amir Hassanonline
WhatsAppAre you still keeping half an eye out?
I handed my notice in this morning, so I am actively looking now.
Catch-up call · 14 minJames Okafor · Today, 11:20
ZoomJames · 11:26For my next move I am looking for £105,000. I would want a step up for a move.
ListsData engineers · London
Assistant
| Candidate | Available from | Status | Expected salary | Notice period | Company | Owner | Skills | |
|---|---|---|---|---|---|---|---|---|
| Sophia Bennett | Not set | Passive | £90,000 | 1 month | Monarch Analytics | Priya Nair | ||
| Amir Hassan | 14 Oct 2026 | Passive | £85,000 | 2 weeks | Northwind Capital | Priya Nair | ||
| James Okafor | Immediate | New | £100,000 | 3 months | Juniper Systems | Tom Reilly | ||
| Mei Tan | Not set | Passive | S$160,000 | 2 months | Atlas Cloud | Tom Reilly | ||
| Elena Rossi | Not set | Active | €78,000 | 1 month | Forma | Tom Reilly | ||
| Oliver Chen | Immediate | New | £88,000 | None | Northwind Capital | Priya Nair | ||
| Rahul Menon | 2 Nov 2026 | Active | £92,000 | 1 month | Juniper Systems | Priya Nair | ||
| Yuki Tanaka | Not set | Passive | ¥14,000,000 | 3 months | Atlas Cloud | Tom Reilly | ||
| Hafiz Rahman | 20 Oct 2026 | Active | S$145,000 | 2 weeks | Meridian Partners | Priya Nair | ||
| Clara Nowak | Not set | New | €84,000 | 1 month | Forma | Tom Reilly | ||
| Daniel Okonkwo | Immediate | Active | £78,000 | None | Northwind Capital | Priya Nair | ||
| Ana Ferreira | 8 Dec 2026 | Passive | €96,000 | 3 months | Juniper Systems | Tom Reilly | ||
| Tomas Novak | Not set | Active | €71,000 | 1 month | Monarch Analytics | Priya Nair | ||
| Grace Adeyemi | 27 Oct 2026 | Active | £105,000 | 2 weeks | Atlas Cloud | Tom Reilly | ||
| Ivan Petrov | Not set | Passive | €88,000 | 2 months | Forma | Priya Nair | ||
| Leila Haddad | Immediate | New | £82,000 | None | Meridian Partners | Tom Reilly | ||
| Marcus Reid | 16 Nov 2026 | Active | £98,000 | 1 month | Monarch Analytics | Priya Nair | ||
| Nadia Kaur | Not set | Passive | S$172,000 | 3 months | Northwind Capital | Tom Reilly |
Where the engine comes from
Not a first attempt at parsing CVs.
Kepler's CV parsing and formatting come from RemakeCV, built by the same team and used by 300+ recruitment agencies. 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.
The 300+ figure is RemakeCV's agency count. The parser reading your archive is the one those agencies already run.
Migration
Get migrated in days.
Get migrated in days.
We handle the whole move.
-
1. Send us the export
Whatever your current system gives you, plus loose CVs and spreadsheets sitting in folders. Not sure how to export? We will walk you through it.
-
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. 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 re-run.
-
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.
Pricing
What each one costs, like for like.
Kepler's one price next to the Carerix plan that carries the features compared on this page. Cheaper tiers are listed underneath with what they leave out.
Kepler
One planUSD 99 per user / month, billed annually
USD 129 billed monthly
One plan, monthly or annual. AI Chat and every feature on this page are included, with no add-on or upgrade needed.
- Unlimited records and storage
- Migration done for you, on every plan
- A monthly AI allowance is included, and more capacity is available on request
Carerix
EnterpriseNot published
Their top edition (ARF on the Dutch page) carries the portals and automated matching compared here. It has no public price.
- Every edition is priced per user per month after a demo.
- Each edition has a task allowance of 1,000, 5,000, 20,000 or 50,000.
- API access and webhooks are in the paid Carerix Datasource bundle.
Cheaper tiers, not compared above
- Premium · Not publishedHas Automated CV Parsing and the Data Connector. Drops the automated matching assistant and the portals.
- Essential · Not publishedAdds process and WhatsApp automations to Starter. No CV parsing, Data Connector, portals or automated matching.
- Starter · Not publishedCarerix AI and the Matching assistant. No CV parsing, Data Connector or portals.
From Carerix's pricing page, checked 13 Sep 2026.
Questions, answered.
Is Carerix better than Kepler?
It depends on how you want to work. If you want a simple, modern CRM with the AI included, where you ask AI Chat in plain English about anything in your database and it finds candidates, ranks them for a job and updates records for you, choose Kepler. It is one plan at USD 99 per user per month billed annually, with the portal, matching, API and a free migration in the price. If you want a Benelux staffing platform sold in four editions, with a family of portals and connectors to Dutch software, Carerix is built for that.
How much does Carerix cost compared to Kepler?
Kepler is USD 99 per user per month billed annually (USD 129 monthly), one plan with every feature included. Carerix publishes no price for any edition. The edition to compare is Enterprise (ARF on the Dutch page), the only one with the portals and the automated matching assistant, and it is quoted per user per month after a demo, as are Premium, Essential and Starter (13 Sep 2026).
Does Carerix have an AI assistant?
Yes, within limits. Kepler’s AI Chat works across the whole workspace, including emails and call transcripts, and updates records once you approve. Carerix Private AI offers prompts, an assistant on vacancies that rewrites job text, an assistant on candidates that answers questions and drafts documents such as an offer letter, Conversational AI over WhatsApp and Assisted Matching. Carerix states it is fenced to candidate, vacancy and matching support, and general questions return an error.
Does Kepler keep GDPR consent records?
Yes. Kepler keeps a consent ledger per candidate and contact, with purposes, lawful basis, framework (GDPR, UK GDPR, PDPA or CCPA), source, evidence, and the dates consent was given and runs until. Campaign audiences follow it, a nightly check flags expiring consent, and an automation can send a consent request. Carerix stores a lawful basis per person with retention terms and renewal emails.
Do both Kepler and Carerix have a meeting notetaker?
Yes. Kepler’s notetaker joins Microsoft Teams, Zoom and Google Meet calls and files the summary, next steps and full transcript against the right record. The Carerix Notetaker attaches to your calendar, records digital meetings and live conversations, and files a summary against the right candidate, contact, vacancy, match or placement.
Can you migrate from Carerix to Kepler?
Yes, free on every Kepler plan. You send an export from Carerix plus any loose CVs and spreadsheets, and Kepler does the mapping, clean-up and checks. Custom fields are rebuilt as real fields, and activity, stages and history come across. You review fifty of your own records before the full load, and a lawful basis with its expiry date moves into Kepler’s consent ledger.
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.