For teams building AI agents on energy data

Your agents are only as good as

the data and logic behind them.

Utilities building AI agents need more than a data export. Agents have to query, simulate and act on the current state of your operations, using the same business logic that drives your invoices. Verity's MCP-compatible architecture exposes live calculation, simulation and insights capabilities directly to your agent frameworks.

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the challenges

Your agents are moving fast.

Your data layer isn't.

Decorative symbol for the challenge section

Agents need current state, not snapshots.

Batch exports and static APIs break agentic workflows. An agent acting on yesterday's data makes yesterday's decision.

Custom integrations don't scale.

Bespoke connectors between your AI stack and your operational systems are expensive, brittle and slow to adapt. Every change risks breaking something.

Ungrounded outputs create real risk

When an agent recommends a tariff or triggers an action based on logic that can't be verified, the exposure is operational and commercial. In energy, a wrong number ends up on an invoice.

What Verity Does

A composable, agent-ready architecture.
Built for the next wave of software.

MCP Server

Expose Verity's calculation and insights logic to any MCP-compatible agent framework. No bespoke connector to build or maintain.

Composable by Design

Use only the capabilities your agents need and add more as your workflows evolve. Connects to your existing infrastructure, no migration required.

Simulation on Demand

What-if calculations triggered by agents: tariff changes, consumption scenarios, margin impact. Proven from 80 to 8 million+ metering points.

Calculation-Aligned Outputs

Agent decisions grounded in the same engine that produces your ratings and invoices. Verifiable, auditable, defensible.

real world examples

Common use cases.

Decisioning Agent

Live product or action recommendations grounded in real calculations

Proposes the optimal product or action based on continuous operational data and live margin calculations. Every recommendation backed by a real calculation, not a heuristic.

Automation Agent

Operational workflows triggered by live signals - not stale snapshots

Triggers operational workflows as signals come in: a consumption anomaly, a contract milestone, a settlement deviation. Acts on verified data, not a stale snapshot.

Customer-Facing Agent

Customer answers always aligned with the underlying system of record

Answers customer questions with figures drawn directly from the calculations behind the system of record. What the agent says is what the system computes.