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AI first CRM and business command platform

One company. One record. Every department on it.

Customers, work, money and people on a single record, with everything you expect from a serious system underneath it. Then an AI employee inside each department, sending the follow up, raising the invoice, opening the job and screening the applicant, so the record stays current while your team does the part only people can do.

KASTOR AND ORION

One brain, two halves, named for a twin.

Your team works in Kastor on the left, where the seven departments live. The ION Suite hangs off Orion on the right. In the middle sits the aKillion hypervisor wrapped by Orion, the operating system your AI employees live in. They come to work inside Kastor, and they are the ones your customers hear from.

Kastor

Where the work happens

CRMOperationsFinanceBillingPartnersPeopleControl
aKillionHypervisorOrion · AI operating system

Your AI employees live here and come to work in Kastor.

ION Suite

What it connects to

Customer DataFirst Party DataThird Party DataIdentity GraphData HygieneData ManagementAudience CreationMedia ExecutionContent ManagementConversational AI

Every conversation with your customers, on the same record.

WHY WE BUILT IT THIS WAY

Every department is looking at the same record.

Software gave every team its own island. Sales bought a CRM, finance kept the books elsewhere, and every leader built a private version of the truth. The Monday meeting became an argument about whose numbers were right. Three decisions follow from refusing that.

Built on one record

Seven departments open the same file from seven angles. There is no second copy, which is the only reason nothing downstream has to be reconciled and the only reason your close can be short.

Designed for ownership

Your model runs inside your own environment on the aKillion hypervisor. Nothing goes out to a shared service, and nothing you put in improves a product somebody else is buying.

Powered by action

A chat window answers a question and leaves the work where it was. An agent here raises the invoice, opens the job, screens the applicant, and writes down what it did and why.

ONE RECORD, TWO HALVES OF THE DAY

The work your team does, and the money it turns into.

Most stacks put a wall between these two columns and hire somebody to carry things over it. Here they are the same object in two states, which is why nothing has to be carried.

The working day

What your team opens every morning and closes every evening.

  • Companies, contacts and the full activity history
  • Your stages, your weighting, your forecast
  • Quotes, proposals and agreements signed in place
  • Projects, tasks and service cases on the customer
  • Capacity per person, visible before you commit
  • Hiring, onboarding and what a person costs
The money it becomes

What your accounting system usually finds out about later.

  • Invoices raised from the agreement, not retyped
  • Receipts matched on arrival, exceptions raised
  • Ageing that is current rather than monthly
  • Cost and margin by customer, job and channel
  • Commission calculated when the money lands
  • The period close, without the archaeology

There is no wall between these columns. One signature moves a record from the left to the right, and nobody retypes anything on the way across.

ONE CUSTOMER, SEVEN DOORS

This is the same record, opened seven different ways.

Tap through the departments and watch the customer stay put. Each one sees the fields that matter to it, and none of them is looking at a copy.

Nothing was retypedA person signed the agreement. Every other state on that record followed from it within three minutes, and each one is attributed.
The numbers agree by constructionRevenue, cost, margin and what the referrer is owed all read off the same value. There is no second figure for them to disagree with.
Every step is on the trailSix actions written down with what ran, what it touched and who released it. Control is a department here, not a setting.
Northgate FacilitiesCRM
Agreement signed

Terms captured once, on the record, by a person

Value$48,200
StageAgreed
OwnerAmy K

Illustrative record from a demonstration workspace, not a customer result. The figures reconcile: revenue less expected cost is the margin shown, and the referrer rate is applied to the same value.

NOW THE DIFFERENCE

Four things your current platform structurally cannot do.

Not because their teams are worse, but because their architecture ends where the sale ends. A system that stops at the agreement hands you a second system, a second login and a monthly reconciliation.

An agent that does the work

Conventional platforms remind you to follow up. An agent here drafts the follow up, books the next step, moves the stage and tells you what is slipping before the forecast moves.

The money side on the same record

A signed agreement raises the invoice, the payment matches itself on receipt, and margin updates without a single export. Your two numbers stop disagreeing.

Partner economics built in

Resellers and referrers with their own terms, commission calculated when payment lands, statements drafted and published without anyone opening a spreadsheet.

Intelligence you own

The model runs inside your own environment. It is not a shared service somewhere else reading your customer list in order to answer a question about it.

FIRST CONTACT TO CASH

One loop, and six of the seven states run themselves.

The one that does not is the signature. Everything after it is mechanical, which is exactly why it should not be occupying your team.

01
EnquiryCaptured and enriched
02
QualifiedRanked on your history
03
ProposalQuote, document, signature
04
AgreedThe handover moment
05
InvoicedRaised from the agreement
06
PaidMatched on receipt
07
ReconciledMargin and commission
See the whole loop, and the four handovers it removes

PROOF IN MARKET

An AI employee that performs like a team that never sleeps.

These figures are not Kastor's. They come from aKillion, the parent company, on a campaign run through ION Candidate in 2026, and they are shown here because the same agent layer sits underneath both products.

Source: aKillion and ION Candidate, 2026 campaign
4.77%SMS response rateAgainst a standard rate of roughly one percent
700%Lift in email engagementWhen messaging ran alongside it
13.3%ConversionOn conversations the agents handled
98.8%RetentionAn opt out rate of just over one percent

Read these with the caveat attached. That was a political campaign, and response rates vary a great deal by vertical, by audience and by what is being asked. They are evidence that the agent layer works at volume, not a forecast of what your business will see. Ask us for a proof point from your own vertical and we will tell you honestly whether we have one.

YOUR OWN PRIVATE MODEL, OWNED BY YOU

Six questions worth asking any AI vendor.

The left column is how most of this category is arranged. The right is how this one is. Neither column is a claim about effort or intention; they are claims about architecture.

Where the model runsSomebody else's shared serviceA private model inside your own walls
What your data trainsTheir next releaseNothing outside your environment
Where the record livesSeveral tools and a spreadsheetOne system, one record
What the intelligence doesAnswers in a chat windowFinishes the task and logs it
Who can see your recordsTheir staff, under their policyYour roles, under your policy
Who runs it after setupTheir services team, billed hourlyYou do, and that is the point

Competitor framing here is at the level of the category rather than about any named product. Check the specifics against whatever you are actually being sold.

WHO IS BEHIND IT

Built by operators, not by people who read about the problem.

AS
Aaron SheeksFounder and Chief Executive, aKillion

A former United States Naval Officer who co-founded The AutoMiner and led PureCars as chief executive, where he shipped customer data and AI products including RylieAI, an early AI digital employee. He founded aKillion to make the automated workforce something a company can actually operate rather than talk about, and this platform ran the aKillion agency itself before it was offered to anybody else.

See what one operation feels like.

Bring your departments and your real numbers to a short call. We will put them on one record and show you an agent working inside each of them.

AI first CRM and business command platform

One company. One record. Every department on it.

Customers, work, money and people on a single record, with everything you expect from a serious system underneath it. Then an AI employee inside each department, sending the follow up, raising the invoice, opening the job and screening the applicant, so the record stays current while your team does the part only people can do.

Kastor and Orion

One brain, two halves, named for a twin.

Your team works in Kastor on the left, where the seven departments live. The ION Suite hangs off Orion on the right. In the middle sits the aKillion hypervisor wrapped by Orion, the operating system your AI employees live in. They come to work inside Kastor, and they are the ones your customers hear from.

KastorWHERE THE WORK HAPPENSION SuiteWHAT IT CONNECTS TOCRMOperationsFinanceBillingPartnersPeopleControlCustomer DataFirst Party DataThird Party DataIdentity GraphData HygieneData ManagementAudience CreationMedia ExecutionContent ManagementConversational AIaKillionHYPERVISORORION · AI OPERATING SYSTEMAI EMPLOYEES COME TO WORK HEREYour customersEVERY CONVERSATION, ON THE SAME RECORD
Kastor, where your team and its agents work ION Suite, the data and channels it reaches aKillion Hypervisor, wrapped by OrionSee the ION Suite on akillion.us
Why we built it this way

Every department is looking at the same record.

Software gave every team its own island. Sales bought a CRM, finance kept the books elsewhere, and every leader built a private version of the truth. The Monday meeting became an argument about whose numbers were right. Three decisions follow from refusing that.

Built on one record

Seven departments open the same file from seven angles. There is no second copy, which is the only reason nothing downstream has to be reconciled and the only reason your close can be short.

Designed for ownership

Your model runs inside your own environment on the aKillion hypervisor. Nothing goes out to a shared service, and nothing you put in improves a product somebody else is buying.

Powered by action

A chat window answers a question and leaves the work where it was. An agent here raises the invoice, opens the job, screens the applicant, and writes down what it did and why.

One record, two halves of the day

The work your team does, and the money it turns into.

Most stacks put a wall between these two columns and hire somebody to carry things over it. Here they are the same object in two states, which is why nothing has to be carried.

The working day

What your team opens every morning and closes every evening.

  • Companies, contacts and the full activity history
  • Your stages, your weighting, your forecast
  • Quotes, proposals and agreements signed in place
  • Projects, tasks and service cases on the customer
  • Capacity per person, visible before you commit
  • Hiring, onboarding and what a person costs
The money it becomes

What your accounting system usually finds out about later.

  • Invoices raised from the agreement, not retyped
  • Receipts matched on arrival, exceptions raised
  • Ageing that is current rather than monthly
  • Cost and margin by customer, job and channel
  • Commission calculated when the money lands
  • The period close, without the archaeology

There is no wall between these columns. One signature moves a record from the left to the right, and nobody retypes anything on the way across.

One customer, seven doors

This is the same record, opened seven different ways.

Move through the departments and watch the customer stay put. Each one sees the fields that matter to it, and none of them is looking at a copy.

Nothing was retypedA person signed the agreement. Every other state on that record followed from it within three minutes, and each one is attributed.
The numbers agree by constructionRevenue, cost, margin and what the referrer is owed all read off the same value. There is no second figure for them to disagree with.
Every step is on the trailSix actions written down with what ran, what it touched and who released it. Control is a department here, not a setting.
Northgate FacilitiesCRM
Agreement signedPerson

Terms captured once, on the record, by a person

Value$48,200
StageAgreed
OwnerAmy K

Same customer, seven times. Not seven copies kept in step by a person and not a nightly sync. One record, opened from a different door.

Illustrative record from a demonstration workspace, not a customer result. The figures reconcile: revenue less expected cost is the margin shown, and the referrer rate is applied to the same value.

Now the difference

Four things your current platform structurally cannot do.

Not because their teams are worse, but because their architecture ends where the sale ends. A system that stops at the agreement hands you a second system, a second login and a monthly reconciliation.

An agent that does the work

Conventional platforms remind you to follow up. An agent here drafts the follow up, books the next step, moves the stage and tells you what is slipping before the forecast moves.

The money side on the same record

A signed agreement raises the invoice, the payment matches itself on receipt, and margin updates without a single export. Your two numbers stop disagreeing.

Partner economics built in

Resellers and referrers with their own terms, commission calculated when payment lands, statements drafted and published without anyone opening a spreadsheet.

Intelligence you own

The model runs inside your own environment. It is not a shared service somewhere else reading your customer list in order to answer a question about it.

First contact to cash

One loop, and six of the seven states run themselves.

The one that does not is the signature. Everything after it is mechanical, which is exactly why it should not be occupying your team.

01EnquiryCaptured and enriched
02QualifiedRanked on your history
03ProposalQuote, document, signature
04AgreedThe handover moment
05InvoicedRaised from the agreement
06PaidMatched on receipt
07ReconciledMargin and commission
Proof in market

An AI employee that performs like a team that never sleeps.

These figures are not Kastor's. They come from aKillion, the parent company, on a campaign run through ION Candidate in 2026, and they are shown here because the same agent layer sits underneath both products.

Source: aKillion and ION Candidate, 2026 campaign
4.77%SMS response rateAgainst a standard rate of roughly one percent
700%Lift in email engagementWhen messaging ran alongside it
13.3%ConversionOn conversations the agents handled
98.8%RetentionAn opt out rate of just over one percent

Read these with the caveat attached. That was a political campaign, and response rates vary a great deal by vertical, by audience and by what is being asked. They are evidence that the agent layer works at volume, not a forecast of what your business will see. Ask us for a proof point from your own vertical and we will tell you honestly whether we have one.

Your own private model, owned by you

Six questions worth asking any AI vendor.

The left column is how most of this category is arranged. The right is how this one is. Neither column is a claim about effort or intention; they are claims about architecture.

Where the model runsSomebody else's shared serviceA private model inside your own walls
What your data trainsTheir next releaseNothing outside your environment
Where the record livesSeveral tools and a spreadsheetOne system, one record
What the intelligence doesAnswers in a chat windowFinishes the task and logs it
Who can see your recordsTheir staff, under their policyYour roles, under your policy
Who runs it after setupTheir services team, billed hourlyYou do, and that is the point

Competitor framing here is at the level of the category rather than about any named product. Check the specifics against whatever you are actually being sold.

Who is behind it

Built by operators, not by people who read about the problem.

Aaron SheeksFounder and Chief Executive, aKillion

A former United States Naval Officer who co-founded The AutoMiner and led PureCars as chief executive, where he shipped customer data and AI products including RylieAI, an early AI digital employee. He founded aKillion to make the automated workforce something a company can actually operate rather than talk about, and this platform ran the aKillion agency itself before it was offered to anybody else.

Let's build

See what one operation feels like.

Bring your departments and your real numbers to a short call. We will put them on one record and show you an agent working inside each of them.

KastorBook a demo

See your own week run on one record.

Bring one department and a real week of work. In about thirty minutes we put it through Kastor: an enquiry arriving, moving through your stages, becoming a signed agreement, becoming an invoice, and landing in margin. The same record the whole way, with agents doing the parts nobody should be doing by hand.

  • Your enquiry to cash loop on one record, with the handovers taken out
  • Agents that write the invoice and chase it, not agents that answer questions
  • What your receivables number is today, and what it looks like after
  • Your model running inside your own environment, with the data staying there
No trial signup and no card details One follow up, then we stop Your data stays in your environment We bring the questions, you bring one real week

Request your demo

Five fields and a consent box. We reply within one business day.

How did you hear about Kastor?

We use this to prepare the call and to reply. We do not sell it on or add you to a list you did not ask for.

What happens next

Three steps, and no sales process hiding behind them.

A demo request usually buys you a discovery call, then a qualification call, then a demo. This is one call, and the useful part of it happens in the first ten minutes.

01

A reply within one business day

Two or three times to choose from, and one question back so the call starts in the right place rather than starting at the beginning.

02

Thirty minutes on your own numbers

Not a slide deck. One department, one real week of work, and the loop running against it while you watch. Bring whoever argues with the numbers.

03

You keep the map either way

A written view of every point where your current setup asks a person to carry something between two systems. That is yours whether you go further or not.

Not ready to book anything?

Fair enough. Read the lead to cash page instead. It makes the whole case in about six minutes and asks nothing of you. When it stops being theoretical, the form is still here.

Read that first