Private beta · Now reviewing applications

AI employees
that learn
how you work.

Not the other way around.

Problem

Most AI needs prompts, training, and an engineer. Your team tries it once and quits.

Solution

Aluqos watches how you actually work. Then does the job. No setup, no prompting.

Future

Start with one hire. Grow to a whole team. Same product. No migration, ever.

Request early access

Tell us a bit about you. We onboard a few teams each week.

Being Used By Teams At:
  • UCSAN DIEGO
What makes it work

Everything an employee needs. Nothing you have to configure.

Memory

Persistent memory

They remember every conversation, doc, and decision — like a colleague who's been there since Day 1.

ReadREADME.md
Watched#product-feedback
Recalledv3.2 spec from March
Voice

Speak, don't type

Drop a voice memo. Alex transcribes and ships.

0:08
Integrations

Lives in your tools

Slack · Notion · Linear · GitHub · Figma · Drive · Loom · Discord

Slack
Notion
Linear
GitHub
Figma
Google Drive
Loom
Discord
Trust by design

Trust by design

Every action shows its work. Approve PRDs before they ship, status updates before they send.

Pending your review
PRD — Bulk export for ops
Speed

Streams in real time

Token-by-token responses. Sub-second time-to-first-byte. No loading spinners — Alex types in front of you.

How it works

Like onboarding a smart intern.

01Step 1 / 3

Describe.

Design your AI like an avatar — name, role, personality.

Give them a name, a role, a personality. Tell them how you like to work — tone, priorities, style. Just like briefing a new hire on their first day.

New AI employee
Alex
Product Manager
ToneDirect, warm
PrioritiesCustomer truth > velocity
StyleShort PRDs, sharp problems
02Step 2 / 3

It learns from you.

Watches, listens, adapts. No prompts, ever.

Your AI employee shadows your work — reads your docs, observes your patterns, picks up your voice. No training. No prompts. It just learns, like a smart colleague would.

q2-roadmap.pdfreading
Extracted
“Ops needs board-ready exports. Engineering owns the dashboard renderer.”
03Step 3 / 3

Deploy.

Ready to work in minutes. Shows up where you do.

Your AI employee shows up in Slack, email, or wherever you work. Assign them tasks. They get smarter with every interaction.

product-team
Alex9:41

Drafted the PRD for bulk export — 6 sections, sourced from Q2 roadmap + issue 47. Ready for your read.

The starting team

Three colleagues. Hire any of them today.

Alex
AI Product Manager
Available now
  • Writes PRDs from Slack & meeting notes
  • Tracks feature requests & prioritizes backlog
  • Drafts roadmap updates for stakeholders
  • Summarizes sprint reviews automatically
Jordan
AI Program Manager
Coming soon
  • Attends meetings, takes notes & follows up
  • Tracks milestones, risks & blockers
  • Auto-generates weekly status reports
  • Updates Jira, Notion & Asana in real time
Coming soon
Sam
AI Marketing Employee
Coming soon
  • Learns your brand voice from day one
  • Drafts posts, emails & campaign briefs
  • Pulls & summarizes performance analytics
  • Schedules & publishes content automatically
Coming soon
Why now

The window is open.

Four shifts arrived in the last eighteen months. Together, they make AI employees practical for the first time.

LLMs are finally good enough to learn context.

200K-token context windows, sub-second TTFT, multi-modal in/out — LLMs can finally observe and adapt the way a colleague would.

OAuth + MCP made tool integration trivial.

Connecting your AI to Slack, Notion, Jira, GitHub used to take weeks. Now it's a checkbox.

Enterprises are budgeting for AI — but have no adoption.

Every CIO has a line item. None of them know what to deploy. We're the answer.

Non-technical buyers now have purchasing power.

PMs, ops leads, marketing — they own AI budgets now. They don't want a prompt engineer; they want an employee.

Stop asking humans to learn AI.

Let AI learn humans.

Private beta · we’re reviewing applications now.

Request early access

Tell us a bit about you. We onboard a few teams each week.

Free during the beta.