recursiv

Your company, improving itself.

Redesign your business for the age of superintelligence.

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Week01
Time saved / month12 hrs
Work done right91.0%
The problem

Agents work fast. The work isn’t getting done faster.

Most companies add agents to processes built for people. We find where time and money leak, and fix it.

Request inAgent readsSECONDSAgent draftsSECONDSWaiting for review142 WAITING · 3 DAYSApprovedTHE SLOWEST STEP SETS THE PACE
01Bolted on

Agents are added to work designed for people. The steps stay the same, so the savings never show up.

We fix it with Simulator →
02Stuck in the queue

Every agent output waits for a person to check it. The review queue, not the agent, sets the pace.

We fix it with Watcher →
03Never measured

No one can say which AI spend is working, so pilots never get cleared to run on their own.

We fix it with Looper →
How it works

One self-improving loop. Always running.

Every week it finds a better way to do the work, tests it, puts it live and measures what it saves.

SimulatorBuilderWatcherLooperContextLOOP 1
01SimulatorTest every mix of people and agents on your own past work before anything goes live.Explore Simulator →02BuilderAgents doing real work on your real data, on any model, inside your rules.Explore Builder →03WatcherEvery result graded from outside the agent, so you know what is working.Explore Watcher →04LooperTurn the evidence into next week’s change, tested first and approved by a person. In research.Explore Looper →00 · At the centerContextEverything the loop learns compounds here, in intelligence you own.Explore Context →
Research

Developed with the San Diego Supercomputer Center. Open by design.

With SDSC we measure how well AI does the work, task by task, and publish the method.

  1. 01Graded from outsideA different model and team score the work. Nothing grades itself.
  2. 02Your answer keyScored against your own rules and right answers, which the agent never sees.
  3. 03Planted errorsKnown mistakes hidden in the work show the checks catch them. In research.
  4. 04Open and rerunnableDesigned to be open, so anyone can rerun it.
Simulator · Part 1Can we predict it?Before it goes liveWatcher · Part 2How does it really do?Once it runsLooper · Part 3Does it keep improving?Every week afterSee all the research →
Control

Your business sets the rules. You stay in control.

Every change is simulated on your past work, then waits for a person. What it learns stays yours, on any model.

  • Any model
  • You own your Context
  • Evidence mapped to AIUC-1
Proposed change · Week 7WAITING
Send refunds over $500 to a person
Simulated on 1,200 past cases95.1% → 97.5% right
Your rulesAll respected
Time back+64 hrs / month
Waiting for your approvalApproved by your finance leadLive, and added to your Context
Start free

Find where AI can save your business the most time.

Send us your website. We send back every workflow, ranked by predicted ROI.

Get your free AI auditBook a demo
  1. Your free AI auditWhere AI fits, and what it saves
  2. PilotWe build the first version with you
  3. PlatformThe monthly loop, priced to your scope