Use case · Real assets & infrastructure · Updated October 2026

AI presentations for infrastructure, energy, and real estate

UltraPoint turns feasibility studies, technical reports, and financial models into market studies, project-finance and lender materials, real estate investment packs, and board decks for energy, transport, data-centre, and property assets. Figures are computed from the source files with an audit trail, and decks export as native, editable PowerPoint in the team’s own format.

Market studies, lender presentations, and investment packs for energy, transport, and real estate, with the polish investors expect, in your firm’s style, built in minutes from your studies and models.

What real-asset teams ship with it

• Feasibility studies to board decks. Turn the full study into a board deck that leads with the recommendation.
• Project-finance materials. Lender and partner presentations built from the financial model and the term sheets.
• Market & site studies. Demand, capacity, and site comparisons for energy, data-centre, and transport assets.
• Real estate investment packs. Acquisition and development cases covering the market, the asset, and the returns.
• Concessions & PPPs. Bid and partner materials that set out the asset, the structure, and the economics.
• Asset & portfolio reviews. Periodic reviews of operating assets against plan, in one consistent format.

Built for real-asset teams

• Turn studies into decisions. Feasibility studies, technical reports, and models become a board or committee deck that leads with the recommendation.
• Make the trade-offs plain. Sites, scenarios, and financing structures framed side by side, so the choice in front of the committee reads at a glance.
• Keep the numbers bankable. Capex, tariffs, and returns are computed from your model and traced back to it, ready for lenders and partners.

How it works

Every deck is staffed like an engagement — a sequence of AI specialists mirroring how a team actually works: an engagement manager reads the brief and sets the approach; a diligence analyst indexes every page of every file; a research analyst fills gaps the files don't cover; a financial analyst computes every figure in code; a senior associate drafts the argument slide by slide; a presentation specialist builds each slide in your style. The result exports as native, editable PowerPoint, with a claim-by-claim audit trail behind every number.

Built for confidential work

• Isolated workspaces. Row-level database policies scope every file and deck to your workspace.
• Never used for training. Your documents and decks never train our models, and AI providers are contractually barred from it.
• Encrypted throughout. Data is encrypted in transit and at rest with our infrastructure providers.
• Viewer and editor roles. Decide who can see each deck and who can change it.
• Sharing is opt-in. Nothing leaves the workspace unless someone shares it, and links can be read-only.
• Single sign-on. SSO and advanced admin controls on Team and Enterprise plans.

From the AI tools you already use

Through the MCP server, decks can be generated directly from Claude, ChatGPT, or Cursor, from inside the chat where the analysis happened. See the MCP integration docs.

Frequently asked questions

Can UltraPoint turn a feasibility study into a board deck?

Yes. Upload the study and the model; it reads them in full and drafts a deck that leads with the recommendation, then the market, the asset, the risks, and the returns.

How are capex and return figures handled?

Figures are computed in code from the files you provide, and every one keeps an audit trail to its source, so lenders and partners can follow each number back.

Does it research the market?

Deep research fills what your files don’t cover, with every outside figure cited.

Can it use our template?

Upload past investment packs or the template and they become the house style for every deck.