Nervous system · Online

Your enterprise,
wired to feel.

Knerv AI is the consulting and platform practice that builds living decision networks — sensing, reasoning, and reacting in real time across your entire operation.

Signal path ↓
Benchmarks

Measured in millisecond reflexes.

0ms
Median inference latency
End-to-end across a 40-node production network, p50 at the edge.
0%
Decision accuracy, audited
Verified against human expert panels on 214,000 replayed incidents.
0×
Faster response cycles
Median time from signal to action, versus legacy batch pipelines.
0
Enterprises wired
Across logistics, energy, healthcare and financial operations.
Capabilities

Every nerve,
on purpose.

We don't bolt models onto your stack. We map the signal paths in your business, then grow a network that fires where it matters — and stays silent where it doesn't.

Sensory Mesh

Ingest streams, logs, sensors and documents into one continuous signal layer. Every input is normalized, scored for salience, and routed to the right node.

Ingestion · Streaming

Cortical Reasoning

Multi-agent deliberation with explicit confidence, dissent and consensus. The network argues with itself before it acts — so you don't have to.

Agents · Deliberation

Motor Execution

Closed-loop actions across your tools: tickets, trades, dispatches, rollbacks. Every actuation is logged, reversible and policy-gated.

Actuation · Safety

Myelination

Frequently-fired paths get wrapped and fast. Knerv compiles hot decision routes into sub-millisecond reflexes without retraining the whole network.

Optimization · Edge

Synaptic Governance

Fine-grained permissions on every signal, node and action. Full audit lineage from raw input to executed decision — regulator-ready by default.

Security · Audit

Plasticity & Learning

The network rewires itself from outcomes. Drift is detected, weights are rebalanced, and new reflexes grow — with a human approval gate on every change.

Adaptation · MLOps
Platform

One SDK.
Every reflex.

Knerv ships as a typed SDK and REST surface. Define your signal paths in code, deploy to the mesh, and watch decisions fire — with full traceability on every spike.

  • Typed Python, Go and TypeScript clients with local simulation mode
  • Declarative network graphs — version, diff and roll back like code
  • Every decision returns a full causal trace, exportable to SIEM
dispatch_network.py
# Build a live dispatch reflex in four lines
from knerv import Network, Signal, Reflex

net = Network("freight-dispatch", region="eu-west-1")

# Sensory input: live GPS + weather streams
net.sense(Signal.stream("gps/fleet"), Signal.stream("wx/radar"))

# Cortical core: deliberate over 3 agents, require consensus ≥ 0.8
net.reason(agents=3, consensus=0.8, budget_ms=25)

# Motor output: reroute the affected loads, log everything
net.act("dispatch.reroute", reversible=True, audit="full")

net.deploy()  # → live in 41s · p50 latency: 12ms
Enterprise

Give your operation
a nervous system.

Our consulting team maps your critical signal paths, designs the network, and stands beside you through go-live. Median time from first workshop to live reflex: six weeks.

SOC 2 TYPE II · ISO 42001 · ON-PREM & AIR-GAPPED DEPLOYS