Catalex — Production-ready AI co-workers
Production, not another pilot

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AI co-workers that live where your team already works — hire one, or the whole crew. Your people stay in charge.

Book a demo Hire your first co-worker FREE
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Lex · via {{ scenName }}
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Simulated run · real product behavior
Lands where work happens No new interface to learn

One front door in every channel: talk to Lex — it brings in the right specialist.

Book a demo Hire your first co-worker FREE

You've tried AI. It never became part of how you run. You're not alone.

✕ Killer 1
Doesn't live where people work
Another tab, another login, nobody opens it.
✕ Killer 2
Too expensive to run for real
~$25 a run. Fine for a demo, doesn't add up at company scale.
✕ Killer 3
Can't be trusted with real work
No memory, no checks, no audit trail.

That was AI as another tool. This time, you're hiring co-workers — and we solved all three. Here's how.

Meet the cast
Doesn't live where people work ✓ solved

Every hire is a specialist. Expert in one job.

Hire the whole crew, one specialist, or brief your own — each arrives wired with tools and approvals.

console.catalex.co
Who is on whatone crew · Revenue Ops pack
RM
Revenue Ops Manager
♛ Leader

Running 2 jobs. Holding step 4 of the first for you.

AR
Analytics Reporter
Pulling win rates for the QBR
✓ Working
AS
Account Strategist
Named the slip reasons · free now
✓ Done
CC
Content Creator
Writing 12 of 18 recovery emails
● Working
DD
Deal Desk
Holding 6 drafts for you
Review
PH
Pipeline Hygienist
Queued behind the emails
○ Queued
step handed out result returned
Who is on what · one crew
♛
Revenue Ops Manager Leader
Running 2 jobs · holding step 4 for you
›
AR
Analytics Reporter
Pulling win rates for the QBR
✓ Working
AS
Account Strategist
Named the slip reasons · free now
✓ Done
CC
Content Creator
Writing 12 of 18 recovery emails
● Working
DD
Deal Desk
Holding 6 drafts for you
Review
PH
Pipeline Hygienist
Queued behind the emails
○ Queued
↑ Hire the whole crew. Or pick just the specialist you need. ↓
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Brief your own
Any job you describe

Describe the job like you'd brief a new hire — Catalex wires the rest.

Whoever you hire arrives connected to 100+ business tools

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Economics at company scale
Too expensive to run for real ✓ solved

The same job.
~$25 their way. $0.07 ours.

Cost is half the math. Every agent also reports its ROI — actual numbers from your own runs, not projections.

One job
"Which Q3 deals slipped, and why?"
Their way
Frontier model, every step
~40 AI steps · every record carried through each one
~$25/ run
modeled · uncached loop
The Catalex engine
Run it as code Remember conclusions Only the tools it needs
your records stay out of the AI — code crunches them instead
LLM if needed
$0.07/ run
measured · spend log
One job
"Which Q3 deals slipped, and why?"
Their way
Frontier model, every step
~40 AI steps · every record carried through each one
~$25/ run · modeled
The Catalex engine
Run it as codeRemember conclusionsOnly the tools it needs
your records stay out of the AI — code crunches them instead · LLM only if needed
$0.07/ run · measured
one named task, run both ways · $0.07 is our measured median · well-cached loops land lower than $25 — and still re-read, re-reason, and forget

$0.07 is measured: the median LLM spend for this task from our session-tagged spend log, same accounting scope on both sides. ~$25 is modeled, not measured — a typical uncached frontier agent loop (~40 turns, ~75k average context at frontier rates). A well-cached loop lands lower: caching discounts re-reading, but it doesn't keep 120k tokens of records out of the context window, doesn't stop a frontier model doing every trivial step, and doesn't help next week's run. Full assumption sheet (rates, step count, cache-hit and retry assumptions) in progress; run-level spend logs available in a demo.
Trust — receipts, not promises
Can't be trusted with real work ✓ solved

Runs safely. Ships only with your sign-off.

Every control below is in the product today. Compliance is labeled exactly as it stands — in progress, not claimed.

Run log · recover slipped accounts
04:12leader → Analytics Reporter · pull stage history
04:31✓ 18 accounts analysed
05:02✓ 18 recovery emails drafted
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waiting on you — Approve all 18 Edit drafts ✓ Approved by you — 18 emails sent · every step logged

Every line above lands in the audit log — decisions, tool calls, and approvals, all recorded.

The controls behind it
✓Approval gates
The ⏸ you just watched. Agents draft — humans approve.
✓Audit logs
Every decision, tool call, and approval recorded.
✓Sandboxed execution
Code runs isolated from your systems of record.
✓SSO / SCIM
Access inherited from your identity provider.
Your data. Your infrastructure. Even your models.
Dedicated deployment On-premises BYOM — bring your own model
SOC 2 · in progress GDPR · in progress
The guide & the path

You don't walk it alone.
We leave when the capability is yours.

Our engineers walk stages 1–3 with you; your team owns it from stage 4. Each stage is scoped and approved on its own — start with stage 1.

01
▲ you are here
AI strategy
Find the workflows where AI pays for itself first.
02
✕ most stall here
Real workflows
Engineered against your tools, data, and policies.
03
Co-workers live
In your channels, behind approval gates.
04
Company adoption
Your teams run, measure, and extend them.
05
AI-native
Every person has AI employees.
Our engineers walk this with you
Your team owns it
01
AI strategy◀ you are here
Find the workflows where AI pays for itself first.
02
Real workflows✕ most stall here
Engineered against your tools, data, and policies.
03
Co-workers live
In your channels, behind approval gates.
04
Company adoption
Your teams run, measure, and extend them.
05
AI-native
Every person has AI employees.
Stages 1–3 · our engineers walk this with you
Stages 4–5 · your team owns it
Three ways to engage
01Build with usfirst co-workers deployed on your real toolsstages 1–3
02Enhance your existing AIyour pilots, re-engineered to hold upstages 2–3
03Add the missing layermemory, evals, guardrails under your stackstages 3–5
The destination

Every person has AI employees.

☾ While you slept
02:14Release Sentinel checked tonight's deploy — clear ✓
03:00Shift Watch flagged one anomaly — escalation drafted, ⏸ held for your approval
07:30Analytics Reporter posted the morning brief in #growth
Questions your team will ask

Before procurement asks, we answer.

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Bring a workflow.
Leave with a plan.

One workflow that hurts, one call — stage 1 scoped, no mailing list.

Talk directly with Catalex

or start free in the developer sandbox