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Deciding which sites to advance before formal diligence has never been easier

Noda replaces your first pass of grid due diligence with an AI autopilot that answers any question about your site's connection, across every data point it can reach, in under two hours.

Noda
43 min
Median time to a decision
Total megawatts approved with Noda
1,866 MW
88%
Sites with hidden constraints

Run a grid engineering team on autopilot

More viable sites in your pipeline, found in hours

De-risk before the money moves

Find the constraint that kills the site before you option land, commission a study or pay the application fee, not a year after the operator answers.

The operator's answer, in hours instead of a year

Capacity, point of connection, reinforcement cost and timing, read from the operator's own published documents, without filing anything.

Find the zone where the project actually works

Compare every candidate on the same evidence and move the pipeline toward the sites where a viable connection point exists.

Or just ask it anything?

Give it a task and it just does it. It searches, reads, writes its own code and builds its own tools until your site makes sense.

What changes.

Replace the guesswork around your site

Twenty tabs, none of them connected

Maps, operator portals, registries, planning documents. Each publishes one piece, in its own format, and nothing links them to each other.

The number you need was never published

So you infer it from the pieces that were. That inference decides the project, and nobody writes down how it was made.

Noda connects, interprets, acts, and builds from each data point, creating a probability of how the area is going to be developed before reporting the decision.

How it works.

From your site to a decision, in five steps

  1. 01

    Submit

    Add a site, project teaser or basic project data. No official grid approval required.

  2. 02

    Analyze

    Noda creates an AI-assisted preliminary risk view using project inputs, map context, grid signals, resource data and uploaded documents.

  3. 03

    Report

    Receive a structured report with red flags, missing information, confidence levels and recommended next steps.

  4. 04

    Decide

    Continue, clarify, high risk or not enough data.

  5. 05

    Re-check

    Save the project to your workspace and re-run checks as documents, grid status or project assumptions change.

It all comes down to the grid.

Built for everyone who has to decide before the grid answers

Developers & IPPs

Screen every candidate before you commit land, guarantees or fees, and grow a pipeline of sites that can connect.

Learn more about Developers & IPPs

Investors & Funds

Triage a whole pipeline on the same evidence and price grid risk before the capital goes in.

Learn more about Investors & Funds

Advisors & EPCs

Deliver the first pass in hours instead of weeks, and spend your engineers on the judgement, not the reading.

Learn more about Advisors & EPCs

Any Questions?

Have a chat with Noda about him or your sites

Noda

Here’s our most asked questions on the first call

You draw the site and walk away, and Noda writes its own plan for it, hires the AI employees it needs with their own roles and tools, sends them after the evidence, and hands you the report within two hours with nobody in the loop.

Well, the same way your team does it: first public data, then private licensed data. But the part that's most interesting is that Noda's agents can interpret data and connect all data points in a way that humans can't.

Hallucination is a harness problem. The harness is the thing that keeps an agent in a loop and pointed at your goal, and we wrote ours from scratch. It gathers the tools a grid engineer already works with into one place: PSS®E contingency analysis, CAD algorithms, and the heavy computation underneath both. The agent checks its own work against those tools as it goes, some of them deterministic and some not. Think of it as handing a very experienced engineer a full bench of instruments and asking them to verify every small piece before it leaves the desk.

Yup, data isn't always public, so think of it like this. You want to know who cut the grass in a field, but nobody publishes that. So you go looking for other answers. You look at the neighbour, and your well-beloved neighbour keeps cows. You look at the grass, and it is uneven in places rather than flat, and it has dried out. Now you can say the cows cut it, and that it happened about two or three weeks ago, because of how dry it is. That is how Noda's agents think and read the data. They do not hallucinate, they just pay more attention to the little things.

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