PRIVATE TECHNICAL ACCESS

Intelligence that can act in the world.

Vivacity is building infrastructure for agents that need more than an answer. They need to understand changing conditions, take action, and stay grounded in what happens next.

A sampled computational flow field around a physical boundary∂W / ∂tHUMAN-DEFINED PHYSICSRUNTIME FOR NON-LIVING SYSTEMS
FIELD OBSERVATION / 001
OUR THESIS

01 / OUR THESIS

Language helped machines understand what we say. The next step is helping them understand what their actions change.

02 / ACTIVE RESEARCH

Building for the space between intent and consequence.

Our work focuses on the systems an agent needs to reason about an environment, make a choice, and learn from the result. We publish when the work is ready to be useful.

Research index ↗
01

World representation

How agents can work with environments that change, persist, and respond over time.

↗
02

Action and consequence

How proposed actions can be tested against constraints before they reach the real world.

↗
03

Execution systems

How different computational tools can take part in one reliable agent loop.

↗
VCT.02

Research should become infrastructure. Infrastructure should disappear into the work.

03 / CONCEPTUAL INSTRUMENT

See the transition, not just the answer.

An agent proposes an action. Vivacity keeps the state, isolates possible outcomes, and preserves the evidence behind the path that follows. This instrument is conceptual, but the system boundary is the point.

Read the working concepts ↗
Runtime
active

WorldState

w:01F9 / s:0042

body.mass
420.000 kg
orbit.alt
612.000 km
state.t
42.600 s
constraint
energy

lineage

base → fork.02

Transitiona:IMPULSE_04

Branch 02

VERIFIED

7.62

km/s / normalized

Fork state

04 / EXECUTABLE WORLDS

Between a world model and the world it is asked to predict.

Vivacity is designed around a hard boundary: state records what is true, action proposes a transition, and execution determines what can become true next.

A sampled orbital observation with three candidate trajectories
STATE VIEW / 01

Orbital state

A sampled contact field around a robotic gripper
STATE VIEW / 02

Contact action

A sampled flow field around an asymmetric obstacle
STATE VIEW / 03

Flow state

05 / SELECT PARTNERS

Working closely with a small number of ambitious technical teams.

We partner with selected startups where the hard part is not generating an answer. It is building an agent that can operate inside a real, changing system.

Engagements are technical, focused, and shaped around the problem. If that sounds like your work, we should talk.

Start a conversation

VIVACITY / 2026

We are building for agents that have somewhere to be.

Talk to the team help@tryvivacity.com