Dviz

Industries · Utilities

AI for the people who keep the grid running.

Electric, gas and water utilities are being asked to connect more, plan faster and report more, with fewer experienced engineers than they had ten years ago. We build automation that takes the lookup and re-keying work off their desks and leaves the judgement with them.

  • Electric distribution
  • Distribution system operators
  • Transmission & grid planning
  • Gas & water networks
  • Customer operations
  • Regulatory affairs

The problems we solve

Where the hours actually go.

01

Knowledge is retiring faster than it is written down.

Why the network is built the way it is lives with senior engineers. Agents grounded in your digital twin, standards and past studies make that knowledge answerable, with a source behind every answer.

02

Study queues outrun planning teams.

Interconnection and load requests wait behind a few engineers with specialist licences. Agentic workflows clear the preliminary work so planners spend their time on decisions.

03

Specifications are assembled by hand.

The same values are retyped across documents and checked by people who should be engineering. Assistants populate specs from standards and flag what they can't source.

04

Regulatory filings are rebuilt from the same data every cycle.

Figures are pulled, reconciled and re-keyed by hand each time. Data automation pulls them from source systems and validates them against your rules, so every filing starts from numbers you can trace.

05

Data sits in GIS, EAM, ADMS and SCADA, and can't move.

Critical infrastructure data can't be copied into someone else's cloud. Sorgi runs in yours and reads systems in place.

Delivered on Sorgi

Your data stays where it is. The agents come to it.

Sorgi deploys inside your own AWS, Azure or GCP tenant, reads your systems in place, and logs every step an agent takes.

How we work

Four stages. Start at any one.

01

Stage 1

Design & Prototype

Process mapping & value · 1 to 4 weeks

We map the value chain, find where time and money are actually lost, and stand up a working prototype of the highest-value use case on your own data.

You leave with

  • A ranked backlog your finance team accepts
  • A working prototype, not a slide
  • A Stage 2 proposal, contract-ready

On Sorgi: Discovery workspace

How it works
02

Stage 2

Build Agents

Individual productivity · 2 to 6 weeks

One high-value task automated end to end, combining rules, deterministic tools and AI as the task needs, with a person approving the work where it matters.

You leave with

  • One automation live in production, used by the people it was built for
  • The number that moved
  • A repeatable pattern your team can build on

On Sorgi: Production runtime

How it works
03

Stage 3

Develop Agentic Workflows

Team-wide productivity · 4 to 16 weeks

Data and agentic orchestration across a full business workflow: pipelines, rules, deterministic tools and agents working together, with human approvals at the steps that carry risk.

You leave with

  • A whole team's workflow running end to end
  • Automation and agents deployed across your value chain
  • An operating model with named owners

On Sorgi: Workflow orchestration

How it works
04

Stage 4

Deploy Agentic Platforms

Company-wide transformation · Multi-year

Multiple workflows and agent teams on one connected platform: an automation and agent factory your organization owns and runs.

You leave with

  • An agentic-enabled organization
  • Top-line and bottom-line value, measured
  • A platform and a team that keep building

On Sorgi: Enterprise AI operating system

How it works

Bring us the problem as it is.

A backlog nobody can clear, a pilot that never left the lab, a process that only three people understand. Tell us what it is, and we'll tell you honestly whether AI is the answer.