Synthetic Insight
An evolutionary AI research company
Est. models · Gen 0412
Two products live · One question open
Insight
We build world models that don't just predict the world — they relate to it, then evolve under the same pressures that shaped everything alive.
Apply pressure. Mutate the specimen, then let selection decide what replicates.
Engine A
It takes in sensory streams, text, and simulation, and compresses them into a latent model of how the world behaves. Not a lookup table — a living map it can run forward to imagine what happens next.
Engine B
We spawn populations of world models, inject random mutation, and apply real fitness pressure. Emergent features appear. Only models that predict their world better than their siblings are allowed to reproduce.
This is a toy of our training loop, running in your browser. Dots are agents; solid survivors reproduce, a hollow ring marks a fresh mutation. The crosshair is a target that quietly drifts — so evolution never finishes, it just keeps up.
Raise the mutation rate and watch fitness get noisier but explore more. Lower it and the population converges, then stalls when the world moves. That trade-off — exploration versus exploitation — is the knob our self-improvement systems tune automatically.
Illustrative simulation. Production training runs on our compute, not your device.
A rendered visualization of a VI resolving a prompt — activations settling, concepts surfacing as imagery. Hover the model to see what it's attending to.
The response stream appears here. Ask something below, or try a suggestion.
"VI" — virtual intelligence — is a promise about limits. Our shipping products are LLM-class systems: powerful tools, deliberately short of the things people fear.
A VI does
A VI does not
Self-evolving world models are our research frontier and stay behind sandbox walls. Everything you can buy today is a VI. We think stating that plainly is a feature, not a disclaimer.
Evaluate, mutate, and promote model variants automatically — a continuous loop that improves prompts, tools, and weights against your real traffic.
Any LLM, any cloud, one interface. Route, orchestrate, and observe agents across your stack — our answer to a Neutrino-class operations layer.
A world model of you — one that acts on your behalf as agent, employee, or contractor. In preview.
Two VIs that guard from the inside and probe from the outside, so vulnerabilities are found and patched before anyone exploits them.
Fitness functions are written, reviewed, and version-controlled by people. Nothing is optimized that we haven't chosen to optimize.
Self-modifying models run air-gapped from production and from the open internet. Replication needs a human in the loop.
Every promoted model carries its full genealogy — parents, mutations, and the evals it passed to earn deployment.
Customers get VIs with known limits. The open questions stay in the lab until we can answer them safely.