Transcendence.ai
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Launching Soon!

Make your company work while you sleep.

Use superintelligence to grow your business. Agents, people and, tomorrow, robots work together toward your goals. You keep the decisions that matter, and what your company learns stays yours.

Join the list How it works
AI HARNESS
Web Agent
Founder
Marketing Agent
Operations
Supplier · A2A
Support Agent
Courier · A2A
Robot · soon
Content Agent
Designer
Harness · coordinates People · decide Your agents Other people's agents Robots · soon
AI goes multiplayer
The problem

AI spend keeps growing. The business doesn't improve with it.

More pilots, bigger token bills, yet revenue, margins and hours saved barely move. And what works in one team never reaches the rest of the company.

AI spend Business result
ILLUSTRATIVE EXAMPLE
Missing · coordination

So it doesn't scale.

One agent in marketing, one in support, a pilot here and there, each on its own. What works in one team stays there. Nobody splits the work between people and agents or measures it against your KPIs.

Our answerThe harness coordinates everyone toward your goals. How it works
Missing · defensibility

So the spend doesn't compound.

Every task starts from zero. Your team's corrections are lost, and when a pilot ends what it learned goes with it, or stays inside a vendor's model. You pay again for the same mistakes.

Our answerToken capital: what your company learns stays yours. What you own
95%
of organizations get zero return from their generative AI investment, despite $30–40 billion spent. The main barrier is learning: most systems don't keep feedback or improve over time. MIT NANDA · The GenAI Divide: State of AI in Business 2025
The moat

Everyone can rent the same models. The moat is how fast you improve.

The loop · every week
1Agents and harness learn from every task.
2They propose an improvement: to a process, to an agent or to the harness itself.
3You approve, or discard. You move the line between AI and team.
4The effect is measured. And the loop turns again.
Measured from day one
Work AI closes without intervention, next to the error rate and your KPI. If the first rises while the other two hold, your token capital is growing.
Work AI closes without intervention Same models, same starting point, twelve weeks.
ILLUSTRATIVE EXAMPLE
Company with the loop Agents without a loop
What you own · and control

Models are rented. This is what you own.

Everything the harness learns lands in your company's data layer, not inside a vendor's model. Every decision has a name, every action a trace.

From your data

The map

Customers, suppliers, people and projects, linked to every task that mentions them.

Searchable by meaning

Knowledge

The pages your agents write while they work: research, reports, procedures.

With a name

Decisions

One current decision per topic: who took it, why, and from which case.

Approved by you

Lessons

What your team corrected, turned into rules. Each one traced to the case it comes from.

Reused

Skills

Procedures that worked, ready for the next agent that needs them.

Verifiable

The trace

Every action and its outcome, in an audit trail you can check for tampering.

Control · everything IT needs to sign off
Your data is never used to retrain a model
Open format: change model or vendor, your capital stays
Make the agents forget what one case taught them, in one go
Payments always approved by a person
Pause, resume or cancel any request
AI spend cap on every request
External agents: every delegated task leaves its receipt
Human oversight and logs: the basis for the AI Act
Token capital · why it compounds

Two kinds of capital. One loop that compounds.

The harness makes your people and your AI grow together. Every task adds to what your company knows, and that loop becomes your company's new IP.

Human capital

Your people

They decide, correct and answer for it. The part no model can rent.

Judgment Relationships Ingenuity
Teaches the agents Decisions, corrections, approvals
The loop · your IP
Work closed, context, proposals Frees your team
Token capital

What your AI has learned

Built by your company, on your work. It grows with every task, and it stays with you.

Lessons Decisions Skills Your agents
The foundation · your data Customers, suppliers, products, orders, and every task with its outcome, linked in one map of your company.
Always at work · with what you've built

You wake up and the work is already done.

With what you've built, your company never stops. The harness coordinates people, your agents and other people's, and tomorrow robots, day and night toward your goals. In the morning, only the decisions are waiting for you, and what the night taught the agents.

While you slept Good morning. Here's what your company did, and learned, overnight.
07:30
23:40
Launched the campaign for the US marketMarketing Agent
01:15
Answered customers, in four languagesSupport Agent
03:05
Confirmed production of the new orderSupplier's agent · A2A
04:30
Published the new product pageWeb Agent
05:40
Turned 3 of yesterday's corrections into lessonsHarness · token capital
06:50
Prepared this morning's reportAnalytics Agent
2 decisions and 3 lessons are waiting for you Launch price · new supplier · lessons to approve
ILLUSTRATIVE EXAMPLE
How it works · Example: launching a collection online

You set the goal. The harness splits the work among everyone.

  1. 1
    Define the goal and KPIs
    Orders per month, acquisition cost, margin per order.
  2. 2
    The harness plans
    Breaks the goal into tasks and reads what your company already knows.
  3. 3
    Assigns each task to whoever does it best
    To your agents, to suppliers' agents, to your team. Tomorrow to a robot too. When a tool is missing, it builds it.
  4. 4
    Checks the result
    If a task commits the company, a person decides: it lands in their queue with context and a proposal.
  5. 5
    Measures against the KPI, and the loop turns
    Every decision and correction becomes token capital for the next task.
Bring anyone · open protocols, no lock-in
Your team Your agents, Claude Code too Suppliers' and partners' agents Robots · soon
A2A MCP API CRM, ticketing, ERP, email Shop and payments We set them up for you.
Plan · Autumn collection launch6 TASKS
ILLUSTRATIVE EXAMPLE
Collection site and landing pageBuilt on the spot, live only after build and verification
Web Agent DONE
Product pages and photos Content Agent DONE
Print on demand Supplier · A2A WAITING
Launch campaign Marketing Agent IN PROGRESS
Launch price Founder TO DECIDE
Packing and shipping Warehouse robot TOMORROW
TO DECIDE · DUE TODAY from Marketing Agent
Launch price for the collection
CONTEXTThree direct competitors analysed, minimum margin under the policy respected.
WHY YOUIt's a public price: a person signs it.
PROPOSALFull price, with a launch discount for the first 48 hours.
Risky actions never start without a person from your team.
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