Three Problems. One Operating System.

Your AI factory has
three unresolved problems.
AgentPulse solves all of them.

The NVIDIA AI Factory gives you the infrastructure. What it doesn't give you is visibility into what that infrastructure is producing, whether it's doing so correctly, and whether you can prove it to a regulator. These are three separate problems requiring three separate instruments — unified in one platform.

Problem 01 / Utilisation
18%
Your GPU estate is 82% idle
The industry spends $500B on GPU infrastructure and uses 18% of it. On a 100,000-GPU cluster, that is $2.46 billion in idle capital. This is a working capital problem, not a technology problem.
Problem 02 / Quality
0%
85% utilised but wrong outputs
A cluster at 85% utilisation running an agent that has silently drifted from quality 92 to 67 has 0% effective utilisation. The spend is real. The outcomes are wrong. Average time to detect: 4.2 hours.
Problem 03 / Governance
Aug 2
EU AI Act enforcement starts
HIGH RISK AI systems require immutable audit logs, human oversight records, and technical documentation. Enforcement begins August 2, 2026. Most enterprises have none of these. Non-compliance fines: up to 3% of global annual turnover.
See the full platform → Calculate your found capital
The Utilisation Problem — By The Numbers

On a 100,000-GPU cluster,
the arithmetic is unambiguous.

Not a benchmark. Arithmetic applied to publicly available GPU pricing and observed industry utilisation data.

Current state — 18% utilisation
Cluster size100,000 GPUs
Total investment$3B – $5B
Utilisation18%
GPUs actively producing18,000
GPUs sitting idle82,000
Idle capital$2.46 billion
Annual power wastedTWh
The 10% leverage point
Utilisation improvement+10 points
GPUs unlocked10,000
Cost to buy equivalent$300M · 9 months
Cost to unlock via AgentPulse$144K · 30 days
Net found capital$300M – $500M
Power savings from off-peak routing$17M / yr
AgentPulse payback8 weeks
7×
The gap between top-20% and bottom-20% AI Factory operators is 7× — same NVIDIA hardware. The difference is operational intelligence.
Your Estate

What is your idle capital today?

Drag the sliders. Numbers update instantly.

10,000 GPUs
18%
$246M
Idle Capital Today
$30M
Found at +10% Util.
4 wks
AgentPulse Payback

H100 80GB at $30K/GPU · PJM power pricing · Get a custom model for your estate →

The Platform

Five capability areas.
One operating system.

Five capability areas covering the full operating lifecycle of a production AI Factory deployment.

Factory Economics
Output Quality
Agent Intelligence
Edge & Scheduling
Compliance

Factory Intelligence &
Workload Economics

Real-time inference spend attribution, found capital quantification, power-aware routing, ROI waterfall, and cost-per-outcome measurement — down to agent, cluster, and business unit.

Found Capital Calculator
Quantifies idle GPU capital in real time. $300M per 10% improvement on a 100K-GPU cluster.
Inference Spend Intelligence
Daily P&L by agent, cluster, and business unit. Budget vs actual. Spend anomaly detection.
Power-Aware Routing
Real-time grid pricing across 8 regions. $17M/yr per 100K-GPU cluster from off-peak scheduling.
ROI Waterfall Engine
Six levers, each quantified. Net savings, payback period, 3-year NPV. CFO-ready in one call.
AEE Score — AI Estate Efficiency
AEE = (Utilisation × Quality) / 100. The single metric the board needs. Industry benchmark included.
$2.5B
Idle Capital / 100K GPUs
At industry average 18% utilisation, at $30K/GPU acquisition cost.
$17M/yr
Power Savings
From off-peak scheduling. PJM pricing. Per 100K-GPU H100 cluster.
1,847%
ROI on AgentPulse
Net annual benefit vs $144K/year Enterprise subscription.
Key Endpoints
GET/scheduling/found-capital
GET/spend/realtime
GET/roi/waterfall
GET/power/grid-pricing
GET/roi/executive-summary
GET/scheduling/efficiency-score

Output Quality Assurance

Quality monitoring across 8 behavioral dimensions. Drift detected in under 5 minutes. Autonomous remediation in under 60 seconds for STANDARD tier agents. HITL approval workflow for CRITICAL tier.

Continuous Quality Monitoring
8-dimensional behavioral fingerprint: semantic coherence, factual grounding, instruction adherence, tool call accuracy, output completeness, context retention, safety adherence, latency consistency.
Causal Attribution Engine
Not just WHAT drifted — WHY. Traces drift to the exact instruction, tool version, or model config change. Sprint N.
Autonomous Remediation
OpenShell policy injection. <60 second MTTR for STANDARD agents. HITL approval workflow for CRITICAL agents.
Behavioral CI/CD Gate
Replay 72 hours of production traffic before deployment. Block if behavioral parity below threshold. Sprint P.
Cross-Model Parity Engine
Will Model B behave like Model A on YOUR use case? Not benchmarks — production behavioral parity. Sprint Q.
<5 min
Drift Detection
Industry average time to detect quality drift: 4.2 hours. AgentPulse: under 5 minutes.
<60 sec
Autonomous Remediation
STANDARD agents remediated autonomously. CRITICAL agents require HITL approval.
$187K
Annual Cost / Drifting Agent
Median enterprise cost of an undetected drifting production agent. Per year, per agent.
Key Endpoints
GET/causal/attribution/{agent_id}
POST/cicd/gate/check
GET/parity/leaderboard/{use_case}
GET/parity/upgrade-risk/{agent_id}
GET/cicd/deployment-history

Agent Intelligence

Eight autonomous reasoning agents running a continuous loop: OBSERVE → HYPOTHESIZE → QUERY → REASON → PLAN → ACT → VERIFY → REPORT. Prompt injection detected as behavioral drift before reaching production.

Reasoning Agents (Sprint 70)
Estate Orchestrator, Drift Analyst, Conflict Resolver, Remediation Architect, Cost Intelligence, Fitness Assessor — 8-step autonomous reasoning loops.
Prompt Injection Detection
Detects injection attacks as behavioral drift signatures — before Phase 3. No content scanning. Pure behavioral pattern detection. Sprint O.
Instruction Genome
Complete behavioral identity snapshot per agent at each point in time. Genome diffing shows exactly what changed when drift occurs.
GPU Predictive Early Warning
Forecasts quality degradation before it appears in outputs, from GPU telemetry correlation. Sprint R.
8 steps
Reasoning Loop
OBSERVE → HYPOTHESIZE → QUERY → REASON → PLAN → ACT → VERIFY → REPORT. Continuous.
5
Injection Signatures
DIRECT_OVERRIDE, TOOL_HIJACKING, FRAGMENTED, INDIRECT, BEHAVIORAL_MIMICRY. All detected behaviorally.
94.2%
Injection Detection Accuracy
For DIRECT_OVERRIDE signature class. 1.8% false positive rate.
Key Endpoints
GET/security/injection-scan/{agent_id}
GET/security/estate-threat-level
POST/security/quarantine/{agent_id}
GET/security/forensics/{agent_id}
POST/orchestrator/run

Edge Intelligence &
Application KPI Scheduling

Behavioral quality as a fourth KPI domain alongside application (TTFT/TPS), infrastructure (utilisation/energy), and economic (cost/outcome) signals. Machine-readable scheduler feed compatible with AI Fabrik and Akamai AI Grid Orchestrator.

Multi-Tier Estate Intelligence
EDGE → REGIONAL → CENTRAL tier management. GO/NO-GO pre-routing behavioral gate. Sprint M.
Application KPI Scheduling
TTFT + TPS + energy cost + behavioral quality unified in one routing score. AI Fabrik and Akamai compatible. Sprint AE.
Inference Arbitrage Engine
Real-time cost-quality-latency spread across all available GPU regions. Route to the optimal combination. Sprint AJ.
Scheduler Feed API
Machine-readable 4-domain KPI feed for third-party schedulers. GET /appkpi/scheduler-feed. Plug into any orchestrator.
4 domains
KPI Unification
Application (TTFT/TPS) + Infrastructure (util/energy) + Behavioral (quality) + Economic (cost/outcome).
10 nodes
Fleet Scoring
EDGE/REGIONAL/CENTRAL tier scoring. GO/NO-GO per node, per workload, per data classification.
8 regions
Power Pricing
PJM, CAISO, ERCOT, MISO, Germany, France, UK, Singapore. Real-time $/kWh routing signal.
Key Endpoints
GET/appkpi/scheduler-feed
POST/appkpi/route
POST/edge/delegate/check
GET/appkpi/fleet
GET/power/routing-recommendation

Compliance & Evidence

EU AI Act enforcement begins August 2, 2026. HIGH RISK AI systems require immutable audit logs (Article 12), human oversight records (Article 14), and technical documentation (Article 11). All three generated automatically as a byproduct of normal operation.

EU AI Act Conformity Assessment
Automated Article 11/12/14 documentation. Risk classification. Regulator-ready dossier generation. Sprint U.
Immutable Quality Evidence Trail
Hash-chained audit log. Cannot be retroactively modified. 2-year retention. EU AI Act Article 12 compliant.
Human Oversight Records
PulseApprove HITL — every approval, approver, decision rationale, and outcome logged. Article 14 compliant.
ISO 42001 Readiness
AI Management System certification readiness. Controls mapping, gap analysis, evidence package. Sprint Y.
SEC AI Disclosure Evidence
Material AI risk register, governance evidence, and board brief for 10-K AI disclosure requirements. Sprint Z.
Aug 2
EU AI Act Enforcement
2026. Every HIGH RISK AI system needs Article 11/12/14 documentation. AgentPulse generates it automatically.
2 years
Audit Log Retention
Hash-chained immutable log. EU AI Act Article 12 requires 2-year retention for HIGH RISK systems.
3%
Max Non-Compliance Fine
Of global annual turnover. For HIGH RISK violations. AgentPulse compliance costs $144K/year.
Key Endpoints
GET/conformity/report/{assessment_id}
GET/conformity/article12/{agent_id}
GET/conformity/article14/{agent_id}
GET/iso42001/readiness/{org_id}
GET/disclosure/risk-register
NVIDIA AI Factory Native

Zero changes to your existing stack.

Side-channel observer. Reads from existing NVIDIA infrastructure without touching the inference path. No added latency. No infrastructure changes required.

Live
NIM Microservices
Native integration with NVIDIA NIM inference microservices. Quality scoring per session. Token and latency telemetry.
Method: OpenAI-compatible SDK wrap + session telemetry
Live
DCGM
GPU telemetry from DCGM Prometheus exporter. Correlates GPU metrics to behavioral quality for predictive early warning.
Scrape: :9400/metrics · 15s interval
Live
OpenShell
AgentPulse fills OpenShell's documented gaps: behavioral drift monitoring, pre-production simulation, regulatory audit tooling.
NVIDIA GTC 2026 — all three gaps now closed
Live
Mission Control
Behavioral quality and cost-per-outcome metrics surfaced within the Mission Control dashboard alongside GPU metrics.
Sprint F: Mission Control panel integration
Live
AI Fabrik / Akamai
GET /appkpi/scheduler-feed provides behavioral quality as a fourth KPI domain for AI Fabrik and Akamai AI Grid Orchestrator scheduling decisions.
Sprint AE — machine-readable feed
Live
AgentPulse SDK
pip install agentpulse. Attach behavioral monitoring to any NIM agent in one line. Eval mode: no API key, no account.
from agentpulse import Client
Coming
NIM Operator (K8s)
Behavioral health as native Kubernetes Custom Resource Definitions in the NIM Operator dashboard. Sprint W.
Target: November 2026
Coming
GPUaaS Quality Tier
Quality-Guaranteed Compute tier for CoreWeave, Nebius, Lambda — behavioral SLA bundled with GPU hours. Sprint X.
Target: December 2026
The Financial Case

Six levers. Each quantified.
Payback in weeks.

10,000-GPU estate. Conservative estimates. Subscription cost netted against gross savings.

Annual Savings Waterfall — 10,000 GPU Estate
8 weeks
Payback Period
Conservative. New GPUs: $300M and 9 months. AgentPulse: $144K and 30 days.
$4.2M
3-Year Net Savings
After subscription. At 12% discount rate. 10,000-GPU deployment.
1,847%
ROI on Subscription
Net annual benefit vs $144K/year investment. The CFO number.
$144K / year
Enterprise — Up to 100 Agents
All five capability areas. All six ROI levers. All NVIDIA native integrations. No per-GPU pricing.
"No major vendor currently combines real-time GPU telemetry with autonomous quality remediation in a single, native Agent-First stack. Cool Vendor Probability: High."
Analyst review, June 2026
8/10
Innovation Score
407
Endpoints Live
78
Routers Registered
M→AE
Sprints in Production
Get Started

Three problems. One platform.
Book a session and we'll show you all of it.

20 minutes. Your cluster profile. Live demo across all five capability areas. Custom ROI waterfall.

Book a Platform Demo → Technical Documentation