Enterprise-Grade AI Agent Observability & Control
Observe and evaluate AI systems with deployment, security, governance, and support options designed for enterprise requirements.
Deploying AI agents across large organizations requires more than just good technology. It requires security, compliance, governance, and the ability to manage costs and quality at scale. Noveum.ai is built from the ground up for enterprise needs.
SOC 2 Type II (In Progress)
Enterprise Ready
Enterprise Challenges
The Unique Challenges of Enterprise AI
Enterprise AI deployment is fundamentally different from startup or small-team deployment. Enterprises face unique challenges around security, compliance, governance, and scale.
Security & Data Protection
Enterprises handle sensitive customer data, financial information, and proprietary knowledge. AI systems need deployment-specific encryption, access controls, retention choices, and network boundaries.
Regulatory Compliance
Regulated teams may need to satisfy requirements such as GDPR, HIPAA, or SOX. They need documented controls and traceability for the instrumented operations relevant to their compliance scope.
Governance & Control
Large organizations have multiple teams building agents. You need clear governance structures, role-based access control, and consistent policy management across the organization.
Cost Management at Scale
As you deploy more agents and scale usage, costs can spiral out of control. You need real-time visibility into spending and tools to optimize costs.
Enterprise AI Requires Enterprise Solutions
Generic monitoring tools aren't designed for the unique challenges of enterprise AI deployment. You need a platform built from the ground up for security, compliance, governance, and scale.
Enterprise Solution
Noveum.ai Enterprise: Built for Scale
Bring instrumented traces, datasets, evaluation jobs, NovaPilot recommendation reports, and organization controls into one workflow, with deployment and support terms scoped to the engagement.
Enterprise-Grade Security
Choose an agreed deployment architecture with encryption and access controls appropriate to your environment.
- In-VPC Deployment: Available for scoped enterprise architectures
- Encryption: Protect supported data paths in transit and at rest
- Access Controls: Apply organization and project permissions
- Network Boundaries: Define isolation for the selected deployment
- SOC 2 Type II (in progress): Independent audit underway
Built to Scale
Cloud-Native Enterprise Architecture
Select a deployment architecture and capacity plan based on your workload, availability target, and operational requirements.
Scalability
- Traces per day
- Workload-sized
- AWS Regions
- Deployment-specific
- Scaling
- Configurable
Performance
- Processing
- Workload-tested
- Query Latency
- Measure
- Compression
- Configurable
Reliability
- Uptime SLA
- Contract-defined
- Redundancy
- Architecture-defined
- Recovery Time
- Contract-defined
Multi-Region Global Deployment
Discuss region placement, scaling, network routing, backup, and recovery requirements when selecting an enterprise deployment. Available topology depends on the agreed architecture.
Business Impact
Measure the Business Impact
Establish a baseline, run a representative pilot, and measure whether evaluation and observability improve your team's quality, cost, and investigation workflows.
Measure
Cost Reduction
Compare model and operating costs before and after changes your team validates.
Pilot
Time-to-Production
Measure whether reusable datasets and evaluation jobs shorten your review cycle.
Track
Risk Reduction
Track detected quality failures and the human-reviewed actions taken in response.
Compare
Better Decisions
Use captured evidence and evaluation results to compare options before rollout.
Build an ROI Case from Your Pilot
Calculate payback from measured quality, investigation-time, and model-cost changes. Pricing and contract terms are inputs to that calculation.
Enterprise Workflows
Representative Deployment Patterns
These examples illustrate workflows to validate during a pilot; they are not attributed customer results.
Financial Services Example
Evaluate customer-service, analysis, or risk-assessment workflows against organization-specific datasets and controls.
Agents
Cost change
Availability target
Validate trace coverage, evaluation criteria, data boundaries, and review ownership before rollout.
Representative workflow, not a customer quote
Healthcare Example
Test a narrowly scoped assistant workflow while your organization owns clinical validation and compliance review.
Compliance review
Review records
Review efficiency
Confirm what data is captured, who can access it, and which evidence supports each review decision.
Representative workflow, not a customer quote
Enterprise SaaS Example
Instrument a representative product workflow, evaluate sampled items, and size capacity from measured traffic.
Support cost
Daily Interactions
CSAT change
Use a pilot to measure ingestion volume, evaluation cost, query behavior, and operational ownership.
Representative workflow, not a customer quote
Designed for enterprise security, deployment, and governance reviews
Why Noveum.ai
Why Enterprises Choose Noveum.ai
Built specifically for enterprise AI agent deployment, not a generic monitoring tool.
vs. Datadog
General-purpose monitoring platform with wide integration ecosystem.
Not designed around AI-agent evaluation datasets or NovaPilot analysis reports.
Noveum.ai
Purpose-built for AI agents with tracing, evaluation, NovaPilot recommendations, and cost tracking.
vs. Arize
Phoenix supports tracing, deterministic and model-based evaluators, datasets, experiments, and preproduction workflows.
Its published workflows do not document a Noveum-equivalent SIP or phone persona-scenario testing flow as last verified in August 2026.
Noveum.ai
Noveum connects instrumented traces and evaluation datasets with SIP and phone-capable NovaSynth testing and NovaPilot recommendation reports.
vs. Custom Solutions
Fully customized to your exact requirements.
Expensive, time-consuming, and requires ongoing maintenance.
Noveum.ai
A product workflow your team can pilot without owning every component of a custom evaluation stack.
Unique Enterprise Advantages
Agent-Specific
Built specifically for AI agents, not a generic monitoring tool.
Complete Solution
Tracing, evaluation, NovaPilot analysis reports, and cost tracking in one platform.
Enterprise-Ready
Scope security, governance, support, and compliance-program requirements for the selected deployment.
Fully Integrated
Tracing, evaluation, and NovaPilot recommendation reports share one workflow.
Implementation
Getting Started
Scope discovery, a representative pilot, validation, and rollout around your architecture and review requirements.
- 1
Assessment
Discovery
- 2
Pilot Deployment
Scoped pilot
- 3
Organization Rollout
Phased rollout
- 4
Continuous Optimization
Ongoing
Assessment
Our team assesses your current AI agent deployments and identifies key use cases for Noveum.ai.
Pilot Deployment
Deploy the agreed pilot architecture, instrument a representative workflow, and validate functionality, controls, and measured business impact.
Organization Rollout
Roll out Noveum.ai across your organization. Provide training and support to all teams.
Continuous Optimization
Continuously optimize your agents using insights from Noveum.ai with ongoing support.
Implementation Plan
The statement of work defines milestones, responsibilities, support coverage, and acceptance criteria for your deployment.
Ready to Deploy AI at Enterprise Scale?
Request a demo to review how Noveum can fit your AI observability and evaluation workflow, deployment constraints, and governance requirements.
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