Polylith

Screen more opportunities. Structure better deals.

Structured project finance engine, configured and managed by AI agents. Compare design, commercial, and financing options in hours.

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Modeling can't keep up with the project pipeline.

Project modeling today means chasing assumptions across four teams, rebuilding scenarios by hand, and waiting a week. You run the limited scenarios you have time for, not the ones you need. By the time results come back, the situation has shifted.

The problem

  • Assumptions scattered across teams and tools

    Engineering, development, finance, and commercial teams each hold part of the picture. Someone collects it by hand, then chases every update.

  • Early unknowns block the build

    Critical inputs do not exist yet. Modeling stalls, or an untracked guess enters the spreadsheet and is never revisited.

  • Scenarios built by hand

    Every variant means touching coupled cells and checking that nothing broke. Branching is laborious and versioning is error-prone.

  • Models maintained manually

    Estimates, studies, curves, and contract terms change, but the model only catches up when someone needs the answer yesterday.

The impact

  • Heavy workload, important details missed.

    Integration and maintenance consume the time meant for analysis.

  • Decisions made on incomplete information.

    Limited scenario coverage means slow reactions when conditions change.

  • Effort spent on opportunities that were never going to clear.

    The critical call comes too late to redirect strategy.

  • Constrained pipeline and deal volume.

    Pipeline can only grow by growing headcount.

How it works

Set up once. Model continuously.

  1. 01

    Assemble your project

    Load documents, connect your systems, and Polylith extracts the assumptions to set up the structured finance model. Create org templates for repeatability.

  2. 02

    Define scenarios and assumptions

    Vary design, commercial terms, and structure. Polylith aligns coupled parameters and fills gaps with public benchmarks, portfolio data, or your organization’s defaults.

  3. 03

    Pressure-test and compare trade-offs

    See how results and uncertainty shift across configurations. Sensitivity reveals which alternatives are worth pursuing and which unknowns are worth investigating.

  4. 04

    Monitor material changes

    Choose the KPIs and thresholds that would change your decision. Polylith re-runs as the project progresses and surfaces what crosses them.

The platform

A structured engine, managed continuously.

AI-driven structured simulation

Feature

  • A deterministic engine computes; AI only assembles and configures it
  • Engine structure follows the deal: technology, offtake, capital stack, and tax regime
  • Your spreadsheet or Python model can plug in as a module

Benefit

  • No hallucination. Every number is arithmetic you can follow to its inputs
  • Change an input and everything downstream recomputes automatically

Parameter ingestion and provenance

Feature

  • Extract assumptions from documents, spreadsheets, and project data
  • Fill missing inputs with sourced estimates ranked by quality of evidence
  • Target enrichment by sensitivity, so research spend goes where it moves the answer

Benefit

  • Model before all the facts exist, then watch precision climb as they arrive
  • Every value carries its source, range, and degree of firmness

Assumptions and scenario management

Feature

  • Change one choice and AI updates every assumption that choice implies
  • Quantify what any single parameter is worth
  • Search for feasible configurations against criteria you set

Benefit

  • Evaluate the full option space, not the handful you had time for
  • Every variant is internally consistent, so the comparison is real

Project change management

Feature

  • Read changes from project context as they land, not when they are re-entered
  • Alert on outcome movement, not every input edit
  • Regenerate documents, spreadsheets, and presentations against the current model

Benefit

  • Catch developments that move the decision when they happen
  • Keep materials current without anyone re-running anything
Why Polylith

The right tool for the right job.

Manual spreadsheet

Pros

  • Most flexible — anything you can express, you can build
  • Complete control over structure and logic
  • No new tooling to adopt

Cons

  • Every scenario assembled by hand
  • Coupled assumptions are aligned manually, with no warning when one drifts
  • No inherent version control or change management
  • Complexity compounds with each change and additional collaborator

Spreadsheet + AI

Pros

  • Good at model mechanics — writing formulas, cleaning structure, wiring up data feeds
  • Fast, and no switching cost
  • Works with what you already have

Cons

  • Breaks down with coupled parameters and complex structures
  • Risk of plausible but hallucinated numbers when there are data gaps
  • No memory of why and how a value evolves

Consultants

Pros

  • Bankable output
  • Lowest effort on your side
  • Independent third-party credibility

Cons

  • Expensive per engagement
  • Slow turnaround between request and answer
  • A snapshot in time that grows stale as the project progresses
  • A follow-up question means another request-answer loop

Polylith

The flexibility of a model, accelerated and kept current by AI.

  • Flexible modular simulation engine that supports custom modules
  • AI-accelerated model configuration and assumptions management
  • Every value traces to its source and can be interrogated
  • Monitors project changes and keeps the model current
  • Recommends enrichment where fidelity is low and sensitivity is high
Use cases

One decision engine across the project lifecycle.

Offtake structuring

Origination, commercial

Context

Each solicitation dictates its own terms: tenor, product shape, delivery point, curtailment allocation. Every one reaches upstream into design and downstream into returns.

With Polylith

Load the RFP; terms come out as reviewable assumptions. Change one and everything it obligates moves with it. Sweep price and structure for what clears your threshold.

Feasibility and screening

Development, origination

Context

More candidate sites than anyone can diligence. Advance-or-kill calls get made fast, on whatever information is available at the time.

With Polylith

Model every candidate, not just the shortlist. Sourced estimates fill the gaps so a thin site still gets a real case, and options compare on the same basis. Diligence spend goes where the economics justify it.

Project strategy and structuring

Project finance, origination, transactions

Context

The decisions that set a project's economics: how to size it, whether to add storage, how much to contract versus leave merchant, how to split debt and equity. Each one moves the others.

With Polylith

Search across coupled choices instead of testing them one at a time. See what each decision is worth and what risk it carries. Every number carries its source, so the case holds up in committee.

Get started

More deals, better decisions, faster answers.

We're working with a small number of power project developers to shape the product. If your modeling workload is capping your pipeline, let's talk.

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