Loxo wraps an ATS and CRM around a proprietary graph of 850M+ professionals and a set of agents that source, rank and reach out. Kepler has no database to sell you. It reads the one you have — every CV, note, email thread and call transcript — and makes it searchable, rankable and auditable.
Loxo is a talent intelligence platform: the product is the 850-million-person graph as much as the ATS around it, and Loxo publishes Core at USD 149 and Professional at USD 199 per user per month billed annually, with Loxo Source, the agents, AI Chat and API access all on Professional. Kepler is USD 119 per user per month billed annually in one edition with everything switched on, and it is built for the opposite problem — an agency already sitting on years of CVs, notes, emails and call transcripts that nothing can search. Kepler has no sourcing database of its own and does not pretend otherwise.
Last checked 6 Sep 2026 · Written from Loxo's own public documentation and pricing pages. Tell us if we have something wrong and we will correct it.
Kepler’s search is hybrid semantic and keyword retrieval across candidates, CVs, notes and conversations — the email thread from 2023 and the line someone said on a recorded call, not just the structured fields on a profile.
Kepler’s matching runs against the requirements on that brief, editable per job, and returns a pass or gap verdict for every one of them with the evidence attached. A consultant can read why someone ranked where they did.
Kepler is USD 119 per user per month billed annually. Every feature is in it — the API, the assistant, matching, the job board — with unlimited records and a migration we run for you on every plan, however large or messy the export.
Dimensions where Kepler is the stronger product. Loxo is ahead of us on several others — the 850M+ sourcing graph, SMS and voice sequences, a hiring manager portal, job multiposting and a sales CRM — and the blog post covers every one of them in full.
| Kepler | Loxo | |
|---|---|---|
| The assistant and what it reads | ||
| Which plan the assistant needsWhether it is in the price you were quoted. | In the one edition, on every page, with a monthly AI allowance included | Loxo AI Chat is listed on Professional; billed by usage that varies with the model and the request |
| What it does with an answerReading is half the job. | Creates and updates records, builds a shortlist, saves a result as a list — behind an approval step | Answers questions with a citation for every claim, or says it does not know |
| What search readsThe corpus, not the ranking. | Candidates, CVs, notes, emails and call transcripts you own — semantic and keyword together | Your candidates, companies, jobs, activities and notes, plus Loxo’s talent graph |
| Ranking candidates | ||
| What the ranking is judged againstWhose rubric decides the order. | The requirements on that brief, editable per job, with a pass or gap verdict on each | Shortlist ranks across seven dimensions, with evidence for every call |
| Who can run oneSeat plan, not feature list. | Every seat, because there is one edition | The Longlist and Shortlist agents are part of the workforce on Professional |
| What a ranking costs to runWhat happens in a busy month. | In the seat price with a monthly AI allowance; additional capacity is available on request | Metered in credits — 2,500 per Professional seat a month, pooled, refreshed in full each cycle |
| Trusting the record | ||
| Field-level historyWhat changed, who changed it, and from what. | Per-cell history with the source of every AI-suggested change, and undo | Every merge is logged, approved and reversible; no per-field history or undo is documented |
| Where automatic updates come fromYour conversations, or the outside market. | Your own emails, calls and messages, read and turned into a change on the record | The Self-Updating CRM Agent refreshes titles, companies, skills and locations from Loxo’s graph |
| Applied, or proposed for reviewWho gets the last word on a field. | Every derived change is proposed with its source; you accept or reject it | Deduplication merges need confirmation; the Self-Updating CRM Agent refreshes records in the background |
| Two people, one recordThe quiet data-loss bug in most CRMs. | Optimistic concurrency across resources, so a stale edit is refused rather than silently applied | Not described in Loxo’s public documentation |
| Your own front door | ||
| Where the careers page livesWhether the roles rank for your brand. | Your own domain, server-rendered and indexable, with structured data per role | Hosted at app.loxo.co/your-agency; linked, embedded in an iframe, or rebuilt on your site with the Open API |
| Formatting a CV for a clientYour template, or a field picker. | Your agency’s own template, kept in Settings; DOCX or PDF out, and edits never touch the profile | A white-labelled resume with your name and logo, fields chosen per candidate, saved as PDF from the print view |
| Getting your data in and out | ||
| API and webhooksWhich tier the integration story starts on. | Scoped keys, read and write rate limits, idempotency, and webhooks with delivery logs and redelivery — in the one edition | Open API and webhooks across seven record types; described as a paid feature and listed on Professional |
| MigrationWho does the unglamorous half, and who pays. | Done for you on every plan — extraction, mapping, de-duplication, custom fields rebuilt as fields, and fifty of your own records to check first | Free for Core teams of 3+ seats, guided self-serve below that; complex and custom migrations scoped as fixed packages |
| Paying for it | ||
| Published priceBoth vendors publish. Read them side by side. | USD 119 per user / month billed annually — USD 1,428 per seat per year | Core from USD 149 and Professional from USD 199 per user / month, billed annually and paid up front |
| EditionsHow many decisions before you can buy. | One. Every feature included, unlimited records and storage, no tier above it | Core, Professional and Enterprise, with Source, the agents, AI Chat and the API on Professional |
| AI cost modelWhat happens when the team actually uses it. | An allowance is included; additional capacity is available on request | Credits per seat, pooled and refreshed in full monthly; Boost multiplies a seat to 5,000 or 12,500, priced with your account team |
Loxo’s answer to a hard search is the 850M+ graph, and for a market you have no coverage in that is the right answer. Kepler’s answer is the eight years you already paid for: ask in plain English and it searches the CVs, the notes, the email threads and the call transcripts together, then hands back records you can act on rather than names you retype.
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 |
Loxo’s Shortlist agent ranks candidates across seven dimensions and shows evidence for every call, which is more than most products do. Kepler ranks against the requirements you wrote on that job — editable per brief, because the fourth requirement on a Series B fintech role is not the fourth requirement on a public-sector one — and returns a pass or gap verdict on each, with the line from the record it rests on.
| 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 |
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.
Criteria · 3 of 4
Decision
↑ ↓ next candidate · Esc close
Loxo’s Self-Updating CRM Agent refreshes titles, employers, skills and locations from its own graph, in the background. Kepler works from the other side: the email a candidate sent you, the call you recorded, the message on Thursday. Each one becomes a proposed change sitting on the cell with its source attached, and it lands only when a person accepts it.
Three candidates · this week
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.
Are you still keeping half an eye out?
I handed my notice in this morning, so I am actively looking now.
James · 11:26For my next move I am looking for £105,000. I would want a step up for a move.
| 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 |
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.
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.
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.
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.
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.
£89 per user / month, billed annually
Core from $149, Professional from $199 per user / month, billed annually
Loxo publishes three tiers on loxo.co/pricing, checked 6 September 2026. Core, from USD 149 per user per month billed annually and paid up front, is the ATS and CRM with natural-language search, unlimited jobs and candidates, email and calendar sync, the Chrome extension and MCP. Professional, from USD 199, adds Loxo Source on the 850M+ talent graph, the full agent workforce, Loxo AI Chat, contact information with shortlists and API access, plus 2,500 credits per seat per month, pooled across the team and refreshed in full each cycle. Enterprise is a custom annual agreement and is where SSO, SAML and advanced governance sit. Boost multiplies a seat’s credits to 5,000 or 12,500; Boost pricing is not published.
Loxo also publishes its migration terms, which is more than most vendors do: free for Core teams of three seats or more, guided self-serve below that, and complex or custom migrations — including Professional and Enterprise — scoped as fixed packages before you sign. Kepler’s migration is free on every plan regardless of size, seat count or how messy the export is, and there is no tier above the one price.
It depends on whether your bottleneck is reach or recall. Loxo is a talent intelligence platform built around Loxo Source, a proprietary graph of 850M+ professionals, with agents that longlist, shortlist and run multi-channel outreach including SMS and calls. If you need to find and contact people who are not in your database, Loxo is the stronger product and Kepler is not in that business at all. Kepler is built for an agency whose real asset is the database it already has: plain-English search across CVs, notes, emails and call transcripts, matching against the criteria you wrote for that job, per-field history with undo, and one price with every feature in it.
No. Kepler has no sourcing database of its own and does not sell access to a pool of candidate profiles. Loxo publishes a proprietary graph of 850M+ professionals, searched in one motion alongside your private database, with contact information delivered with shortlists on the Professional plan. That is a genuine capability Kepler does not have, and if it is what you are buying, buy Loxo. Kepler’s sources are your own: bulk CV import, a LinkedIn Chrome extension that tells you whether someone is already on file, applicants from your own branded job board, and the API.
Loxo publishes three tiers, checked 6 September 2026: Core from USD 149 per user per month, Professional from USD 199 per user per month — both billed annually and paid up front — and Enterprise as a custom annual agreement. Loxo Source, the agent workforce, Loxo AI Chat and API access are on Professional, which includes 2,500 pooled credits per seat per month that refresh in full each cycle. Kepler is USD 119 per user per month billed annually, or USD 1,428 per seat per year, in one edition with every feature included, unlimited records, free migration, and additional AI capacity available on request.
Loxo’s Shortlist agent ranks candidates across seven dimensions and shows evidence for every call, which is a real evidence trail and better than a bare score. Kepler’s difference is whose rubric decides the order: the criteria are the requirements on that particular brief, they are editable per job, and each one comes back as a pass or a gap with the line from the candidate’s record that supports it. Kepler also reads the whole record when it ranks — the CV, the notes, the email threads and the call transcripts — rather than the structured profile fields alone.
Both do. Loxo publishes an Open API with bearer-token authentication and webhooks across candidate, company, deal, job, person, placement and related person records, with create, update and destroy events; Loxo’s help centre describes API access as a paid feature and the pricing page lists it on the Professional plan. Kepler’s public REST API and outbound webhooks are in the single edition at USD 119 per user per month, with scoped API keys, read and write rate limits, idempotency, delivery logs and redelivery.
Yes, and Kepler runs it for you on every plan rather than handing you a spreadsheet and a login. You send an export from Loxo plus any loose CVs, spreadsheets and shared-inbox archives that never made it into the CRM. Kepler does the extraction, mapping, de-duplication and validation, rebuilds your custom fields as real fields rather than flattening them into notes, and shows you fifty of your own records fully parsed before the full load. Activity, stages and history come across, not just names and email addresses, and a full workspace export is available at any time with no exit fee.
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.
