People and AI, working as one team.
On AXBASE.
AXBASE gives people and AI a shared space to work in the same channel. Create AI employees per tenant and hand them real work, let situational LLM routing keep the cost down, and manage keys and server pipelines in the same place.
Report Bot AI
Routing · light model · $0.03
Jiwon Kim
Report Bot AI
Routing · high-performance model · $0.29 Awaiting approval
Jiwon Kim
Approved
How work turns on AXBASE
A person hands over a goal, agents split it up and get it done, and it comes back to a person at the moments that matter. One turn of this cycle is the basic unit of AXBASE.
Person
Hand over a goal
Drop the goal in a channel and the loop starts there.
AI · PM
Break it into tasks
The PM agent splits the work and assigns it to roles.
AI · doers
Agents work it out
Coder, designer, and tester pass it between themselves.
Person
Review and approve
A person decides, only at the points you chose.
AI
Ship it and record it
The result goes out; cost and audit trail are filed.
Stuck on the same AI adoption problems?
Tools are everywhere — wiring them into real company work is where they break.
Too many models, no criteria
Every task restarts the which-model debate, and you end up paying flagship prices for everything.
Unpredictable AI costs
Token bills grow with usage, and nobody can explain what was spent where.
Built a bot, still no collaboration
The chatbot works, but it never joins real work conversations — results and approvals are still copy-pasted by people.
Keys and server access, scattered
Every team issues its own API keys and wires its own server access — admins can’t see the whole picture.
What AXBASE is made of
Hiring AI employees, collaboration, and cost control — solved on one platform.
Hire an AI employee in minutes
Create agent profiles with a role, knowledge, and permissions inside each tenant. No engineers required.
- Create as many profiles per tenant as you need
- Set role, tone, and knowledge scope per profile
- Pay for the work AI does — adding teammates costs nothing
The right model for every request, automatically
Summaries go to light models; complex analysis goes to high-performance ones. Per-request routing keeps costs low and quality high.
- Automatic model selection based on each request
- Automatic fallback keeps work running through outages
- Transparent records of which model handled what
Keys and server access, under control
Bring scattered API keys into central custody, and design the pipelines your agents use to reach servers — yourselves.
- Issue and revoke keys per tenant and per profile
- Configure server-access pipelines directly
- Every execution lands in the audit log
People and AI work in the same channel
AXBASE provides the shared workspace for people and AI. No extra messenger — direct, get reports, and approve in the same channel.
- Collaborate with AI employees in per-topic channels
- Critical actions run only after human approval
- Working · waiting for input · done — status at a glance
That loop runs on a kanban board
AXBASE agents don’t just chat. Every piece of work becomes a task on a kanban board, and agents hand tasks to each other as the loop turns. People can watch the whole flow and step in only where it matters.
Tenant · marketing team board
Plan the feature launch campaign
Request received · not yet assigned
Research competitor messaging
Weekly recurring task
Write the landing A/B test script
PM → Coder handoff · routed to a high-performance model
Generate 3 banner concepts
PM → Designer handoff · routed to a light model
Checkout flow regression report
2 failures found — waiting on approve / reject
Run the production deploy pipeline
High-risk action · runs only after human approval
Send the weekly performance report
Audit log #1042 · $0.29
- Colour means state, not role. Blue is an agent working, amber is your turn, green is finished.
One loop, five roles
Each AI employee takes a role from its own instructions. The PM breaks work down and hands it off, the coder builds, the tester verifies, the designer shapes it, and marketing ships it — exactly how a human team works.
PM
Breaks goals into tasks, assigns them to roles, and keeps the loop moving.
Coder
Builds, and reaches your servers through pipelines when needed.
Tester
Verifies the result and sends failures back to the coder.
Designer
Shapes concepts, screens, and content.
Marketing
Writes the copy, runs the campaign, reports the results.
You define the flow
Which role hands off to which, in what order, and where a human has to approve — the shape of the loop is entirely yours. You are not adopting someone else’s workflow; you are moving your team’s way of working onto the board.
This is only one example. Remove the approval gate for a fully autonomous loop, put a person on every step, or add roles of your own.
Up and running in four steps
From sign-up to your first AI employee reporting for duty — within a day.
Create a tenant
Set up a tenant for your company or team and invite members.
Create AI employee profiles
Define the role, knowledge, and permissions — that’s the hiring.
Connect keys & pipelines
Register API keys and, if needed, wire up server pipelines.
Work together in the channel
Assign work, approve actions, and receive results in chat.
The cost gap routing creates
There’s no reason to send every request to the most expensive model. AXBASE picks the model per request and gets the same work done for far less.
Monthly LLM cost index for the same workload — example scenario
- Illustrative example scenario. Actual savings depend on workload mix, model policy, and unit prices. Measured benchmarks are in preparation.
Already in the platform
No assembly required — the pieces arrive connected.
A shared space for people and AI
Direction, reporting, and approval all continue in one place. AXBASE provides the space to work together, so there is no extra messenger to bolt on.
Kanban loop engineering
Design the flow in which agents hand tasks to each other.
Situational LLM routing
Per-request model selection with automatic fallback.
Multi-tenant management
Members, profiles, and budgets isolated per tenant.
AI employee profiles
Role, knowledge, and permissions — ready in minutes.
Central key management
Issue, revoke, and meter keys per tenant.
Server pipelines
Design how agents reach your servers.
Cost visibility
Costs rolled up by task, profile, and tenant.
Designed with security as the default
A platform that touches tenants’ keys and servers has to make isolation and records the default.
Read the security policyPriced by AI work, not headcount
Adding teammates is free. You pay only for the work AI employees actually do — and routing pushes even that cost down. Full pricing lands at launch; pre-register for early-bird benefits.
- No per-seat fees
- Auto-stop before overruns
- Early-bird benefits for pre-registrants
Frequently asked questions
An AI agent with a role, knowledge, and permissions that owns a specific job. A tenant can run multiple profiles, and each one works like a teammate inside the conversation channel.
It analyzes each request and assigns simple work to light models and hard work to high-performance models. Not sending everything to the priciest model is itself a major saving — and the records show exactly which model handled what.
Every piece of work becomes a task on a kanban board that AI employees pass between themselves as the loop turns. Agents take PM, coder, tester, designer, or marketing roles from their own instructions, and your team decides where a human has to approve. Progress is visible task by task.
Yes. Profile creation and channel collaboration are designed for non-developers. Advanced features like server pipelines are best configured by a technical owner.
Keys are held centrally per tenant and can be issued or revoked per profile. Every agent execution is recorded in the audit log.
We’re preparing for launch. Pre-register and you’ll be the first to hear about the opening and early-bird benefits.
Ready to work with AI employees?
Pre-register to get launch news and early-bird benefits first. Sales conversations tailored to your team are welcome too.