Kepler vs Tracker: the AI-first choice. Ask Kepler’s AI Chat in plain English and it finds, ranks and updates for you.

Kepler is a recruitment CRM you can talk to. Ask AI Chat a question and it searches your CVs, notes, emails and call transcripts, scores candidates for a job and suggests updates you approve. Tracker is sold in four plans, and its API, Sequencer and automations are only on the Professional plan, which is priced on request.

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.

Tracker is searched with Boolean and semantic queries, and it does not have a chat assistant across your records yet.

Choose Kepler if
You want a simple, modern CRM with the AI included. You would rather ask a question than build a search string, see a 0 to 100 score with the reason behind it, and approve updates instead of typing them in. You want one published price of USD 99 per user per month billed annually, with the API, campaigns, automations and client portal in it and the migration done for you.
Tracker is built for
An all-in-one staffing system sold in four plans, two of them priced on request.

Written from Tracker's own public documentation and pricing pages, last checked 1 Oct 2026. Tell us if we have something wrong and we will correct it.

Longer reads: the full Tracker review and the best Tracker alternatives in 2026.

Side by side

How Kepler and Tracker compare.

  • 13 Kepler ahead
Kepler compared with Tracker across 18 dimensions: Kepler ahead on 13, both products cover 5. A tick marks each product that has the feature.
DimensionkeplerKeplerTracker
AI Chat and search4 dimensions: 3 Kepler ahead
AI chat Kepler Kepler ahead. AI Chat on every page

Ask in plain English and it finds, ranks and updates records after you approve.

Tracker No chat assistant across your records yet

TrackerAI writes job descriptions, summaries, screening questions and outreach.

Search Kepler Kepler ahead. Ask in plain English

AI Chat searches your CVs, notes, emails and call transcripts together.

Tracker Boolean and semantic search

With filters and radius search over candidate fields and parsed résumés.

AI included Kepler Kepler ahead. AI Chat on every plan

Monthly and annual, with no add-on or upgrade needed.

Tracker TrackerAI access varies by plan

Tracker does not publish which plan carries which AI feature.

Email drafting Kepler Both have this. Drafts from the thread and the record

In any composer, using the thread, the recipient’s record, recent notes and the job. You edit and send.

Tracker Both have this. AI Content Suite drafts emails and texts

From the Core plan up.

Matching and records5 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.

Tracker AI ranking against the job

Learns from candidate engagement, past success in similar roles and recruiter feedback.

Profile updates Kepler Kepler ahead. Updates you approve

Emails, calls and messages become suggested updates and tasks, with the source attached.

Tracker Created by hand from mail add-ins

Outlook and Gmail add-ins summarise the sender, and you create the record, note or task yourself.

Field history and undo Kepler Kepler ahead. History and undo on every field

Each AI-suggested change keeps its source, and two people editing one record cannot overwrite each other.

Tracker Not described on Tracker’s pages

Tracker’s feature pages do not mention per-field history or undo.

Meeting notes Kepler Kepler ahead. A notetaker for Teams, Zoom and Google Meet

It joins the call and files the summary, next steps and transcript against the record.

Tracker No meeting notetaker of its own

Calls made through its telephony can be logged and recorded.

LinkedIn Kepler Both have this. Search LinkedIn from Kepler

See who is already in your database and what has changed, then add new people.

Tracker Both have this. A browser extension that imports profiles

Adds LinkedIn and job-board profiles as contacts or candidates.

Outreach and automation5 dimensions: 2 Kepler ahead
Outreach Kepler Both have this. Email campaigns on every plan

Sends the emails for you and reminds your team when it is time to call or reach out on LinkedIn or WhatsApp.

Tracker Both have this. Sequencer, only on Professional

Email and text steps, on the plan priced on request.

Automations Kepler Kepler ahead. Automations on every plan

One list shows what runs, what it reads and writes, and when it last ran, with a switch to stop it.

Tracker AutoAction and Watchdogs, only on Professional

The plan is priced on request.

API and webhooks Kepler Kepler ahead. REST API and webhooks on every plan

Webhooks keep a delivery log and can be sent again.

Tracker REST API only on Professional

The plan is priced on request.

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.

Tracker Both have this. Shortlists, feedback and ratings

Clients can request an interview. From the Core plan up.

Reporting Kepler Both have this. Billings, splits and collections

Read from real placements, each with its fee, invoice and payment status.

Tracker Both have this. Custom reporting from Core

Scheduled reports only on Professional.

Price and plans4 dimensions: 4 Kepler ahead
Plans Kepler Kepler ahead. One plan

Every feature included, with unlimited records and storage.

Tracker Four plans

Launch, Core, Professional and Enterprise. Professional and Enterprise are priced on request.

Price Kepler Kepler ahead. USD 99 per user per month

Billed annually, or USD 129 monthly. Every feature on this page is included.

Tracker Professional priced on request

The first plan with the Sequencer, AutoAction and REST API. Core is USD 99 monthly without them.

Commitment Kepler Kepler ahead. Monthly or annual billing

USD 129 per user per month, or USD 99 billed annually.

Tracker A six-month minimum

Annual discounts exist but are not published.

Migration Kepler Kepler ahead. Done for you, free, on every plan

Mapping, clean-up, and fifty of your own records to check first.

Tracker Assisted by Tracker’s team

No migration fee is published.

The difference in practice

Ask about the conversations, not only the fields.

Kepler’s AI Chat sits on every page. Ask in plain English and it searches CVs, notes, emails and call transcripts together, so a match can come from something a candidate said on a call. Tracker searches with Boolean and semantic queries over its fields and parsed résumés, and it does not have a chat assistant across your records yet.

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 one, and not that one

Every candidate scored. Every score explained.

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. Tracker’s AI ranking learns from candidate engagement, past success in similar roles and recruiter feedback.

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

Select a candidate to read the evidence.

Sophia Bennett

1 of 6

92

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.”
Nothing lands on its own

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

Kepler reads the email, the call and the message and comes back with the change already written. Each one is a suggested update or task with its source attached, and you accept or reject it. Tracker’s Outlook and Gmail add-ins show a summary of the sender, and you create the record, note or task yourself.

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 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.
We handle the whole move.

  1. 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. 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 re-run.

  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.

Pricing

What each one costs, like for like.

Kepler's one price next to the Tracker plan that carries the features compared on this page. Cheaper tiers are listed underneath with what they leave out.

Kepler

One plan

USD 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

Tracker

Professional

Not published

The first plan with the Sequencer, AutoAction, Watchdogs and REST API compared on this page. Priced “Contact Sales”.

  • Six-month minimum commitment. Annual discounts are not published.
  • Job board subscriptions are bought separately.
  • TrackerAI access varies by plan, with no detail published.

Cheaper tiers, not compared above

  • Core · USD 99 billed monthly · annual figure not publishedDrops the Sequencer, AutoAction, Watchdogs and the REST API.
  • Launch · USD 79 billed monthly · annual figure not publishedUp to five recruiters. Also drops Core’s AI Content Suite, client portal and custom reporting.

From Tracker's pricing page, checked 13 Sep 2026.

Questions, answered.

Is Tracker 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 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 API, campaigns, automations and client portal in the price and a free migration. If you want an all-in-one staffing system sold in four plans, Tracker is built for that.

How much does Tracker cost compared to Kepler?

Kepler is USD 99 per user per month billed annually (USD 129 monthly), one plan with every feature included. The Tracker plan to compare is Professional, the first with the Sequencer, AutoAction, Watchdogs and the REST API, and as of 13 Sep 2026 it is priced “Contact Sales”. Tracker’s Core plan is USD 99 and Launch is USD 79 per user per month billed monthly, neither includes those features, and Tracker asks for a six-month minimum.

Does Tracker have an AI chat assistant?

Not yet. Kepler’s AI Chat sits on every page, searches CVs, notes, emails and call transcripts, returns lists you can save and asks for your approval before it changes anything. Tracker does not have a chat assistant across your records yet. TrackerAI today writes job descriptions, summaries, screening questions and outreach, and ranks résumés against a job.

Does Kepler write emails for me like TrackerAI does?

Yes. In any Kepler composer you say what the email should cover, and Kepler drafts it from the thread, the recipient’s record, recent notes and the job. You edit it and press Send. Tracker’s AI Content Suite writes emails, texts and job posts, from the Core plan up.

What does Kepler have that Tracker does not?

Kepler has AI Chat on every page, which answers across the whole database and acts after you approve. Tracker does not have a chat assistant across your records yet. Kepler has a meeting notetaker for Teams, Zoom and Google Meet, and Tracker does not have one of its own. Kepler also gives every candidate a 0 to 100 score with the reason behind it, suggests updates from emails and calls, and keeps history and undo on every field. The API, campaigns and automations are on Kepler’s one plan, where Tracker keeps them on Professional.

Can you migrate from Tracker to Kepler?

Yes, free on every Kepler plan. You send an export from Tracker 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 you can export your whole workspace at any time with no exit fee.

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.