AGIOM Labs · Explainer
AGIOM≈ axiom
Mission-critical world models.
Physically grounded·Verifiable·Controllable
02The problem

Too slow to act on, or too conservative to compete.

Accurate — too slow

First-principles solvers · CFD · FEM

  • Grounded in real physics
  • Hours-to-days per solve
  • Specialist-run, not automated
SOLVE ELAPSED00:00:00
Fast — too conservative

Heuristics · rules of thumb · margins

  • Instant and cheap — runs ops today
  • Pads margin to avoid failure
  • Strands efficiency
CAPACITY USED38%
AGIOM closes the gap — grounded accuracy at real-time speed.
03The thesis

Systems that can’t fail have no world model.

A mission-critical world model predicts a real system’s dynamics accurately enough to act on — and that takes four properties at once.

01

Physically grounded

True dynamics — conservation, transport, thermodynamics — as priors, not appearance.

02

Verifiable

Checks predictions against physical law and refuses the impossible. Certify or flag — never just emit.

03

Real-time

First-principles accuracy at heuristic speed. Right-but-hours cannot operate the system.

04

Controllable

Answers interventions, not just forecasts — move this setpoint, what happens?

04The solution

Simulation in. A verified, controllable world out.

Data sources
Simulation — cheap, abundant volume Experiments — real-world ground truth
Data pipeline
Quality-aware selection

Every example ranked by causal impact — Action Shapley (ICLR ’26).

Agiom world model
State estimation — estimate true state Prediction — predict next state RL-based control — act in closed loop
Verification
Verifier

Rejects physically impossible output before it ships.

every action re-verified
05Live today — the Agiom app
https://app.agiomlabs.com
LIVE
CONNECTORS
Redfish VIA MCP
Redfish · direct
SNMP
IPMI
Modbus TCP
BACnet/IP
Prometheus
S3 / batch VIA MCP
CSV upload
HOST × SENSOR
▾ bmc-rack1-01
CPU Temp
Inlet Temp
PSU Power
▾ crac-a-07
Supply Air 18.0 °C
Fan Speed 62 %
▾ pdu-b-03
Branch kW 4.21 kW
LIVE TELEMETRYPOLL 5s
CPU Temp Inlet Temp PSU Power
06Predict · optimize · verify
https://app.agiomlabs.com — Control
SURROGATE · POD+RBF
INTERVENTIONS
CRAC setpoint21.4 °C
Workload · vCPU64
Memory256 GB
RUN OPTIMIZER
PREDICTED RESPONSE · INFERENCE 11 ms
PHYSICAL LIMIT
✕ REFUSED — violates conservation of energy
✓ VERIFIED — setpoint 18.2 °C · −23% cooling power
07The differentiation

One quadrant operates the system.

◀ APPEARANCE / GENERATIVE PHYSICAL GROUNDING ▶ VERIFIED, IN-LOOP ▲ ▼ CREATIVE / OFFLINE World Labs · Sora · Veo appearance, not dynamics AMI · latent planners general, learned guardrails Nvidia Omniverse · Modulus real physics, but offline AGIOM Labs grounded + verified, in-the-loop
08The market

Where wrong physics costs real money.

LAND HERE

Data centers

Physics twins for planning, A/B testing & real-time control — cooling, power, workload sizing.

$250B by 2030 · 15% CAGR
EXPAND

Industrial controls

Verifiable set-points for manufacturing & energy in safety-critical loops.

$305B by 2030 · 8% CAGR
EXPAND

Automotive

Vehicle dynamics, factory ops & AV edge cases on the same physics layer.

$210B by 2030 · 14% CAGR
2013 · POD world model in production — 2.5–3.4% error · ~50% cooling energy saved
AGIOM≈ axiom
Mission-critical world models.
site agiomlabs.com live app app.agiomlabs.com contact hello@agiomlabs.com
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