Inven writes company one-pagers and overview slides in your firm's own PowerPoint template from data Inven owns, while Model ML puts AI inside Microsoft Office — helping in slides and Excel and capturing meetings with its Notetaker, with facts drawn from connected providers like PitchBook, Capital IQ, and FactSet plus the firm's files. The split is between producing the company page and assisting inside the documents you already have open: one starts from a company and ends in a finished slide, the other starts inside Office and makes the work there go faster. They are two jobs, not a swap, and teams run both without the two ever colliding.

How do Inven and Model ML compare at a glance?

The clean way to see it: Inven anchors in a company dataset it owns and hands you a finished page in your template; Model ML anchors inside Microsoft Office and assists with whatever you are building there, on data from the providers you connect.

What is Inven best at?

The company page itself. Give Inven a company and it produces the one-pager or overview slide in your firm's PowerPoint template — the description, headcount, locations, deal history, and figures from filings, formatted the way your slides always look. The material comes from data Inven collects and maintains on more than 28 million companies (Inven product data, August 2026), which holds up well into the private mid-market where profiles built from the traditional providers tend to come back half empty.

The saved task is the part that compounds: an analyst defines the template and fields once, and from then on anyone on the team reruns it on the next company and gets the same page in the same format. The boundary, stated plainly: Inven can't yet make a full CDD deck, pitch book, CIM, or teaser, but it shines in the individual slides and analyses that are parts of them. To see it on your own template, book a demo.

What is Model ML best at?

Living where the work already happens. Model ML's bet is that finance teams do not want another window — they want the AI inside Word, Excel, and PowerPoint, and in the meetings themselves through its Notetaker. Drafting help in the document you have open, model work in the spreadsheet you are building, and meeting capture that lands back in the workflow: for teams whose whole day is Office, that placement is the product.

Its knowledge comes from what the firm connects — providers like PitchBook, Capital IQ, and FactSet, plus internal files and captured meetings — which means it makes the firm's existing data more usable rather than bringing a dataset of its own. That is a design choice, not a flaw, but it is the choice that separates it from Inven.

Which is better for PowerPoint?

It depends on which PowerPoint problem you have. If the slide has to be a sourced company page in the house template — a profile where every fact traces to data and the format matches the firm's standard — that is Inven, because generating exactly that page from data it owns is the whole product. The fiftieth company comes out the same way as the first, from the same saved task.

If the company is already known, the facts are already gathered, and the job is working faster inside Office — tightening a deck, reworking a layout, building around material the team already has — that is Model ML's ground. One produces the page; the other helps you polish and assemble what is already in front of you. Teams with both problems genuinely benefit from both tools.

Do Inven and Model ML use the same data?

No, and the difference is architectural. Model ML connects to the providers the firm already uses — PitchBook, Capital IQ, FactSet — and to its files and meetings, so what it knows is a reflection of what the firm has plugged in. Inven does not sit on any of those feeds as its company universe; it collects and maintains its own data on 28M+ companies, which is what lets it fill a profile on a small private company no connected provider covers.

Neither approach is a gap. Making connected data more usable inside Office is the point of Model ML. Owning the universe so the one-pager never depends on someone else's coverage is the point of Inven.

Can you run Inven and Model ML together?

Yes, and the pairing is unusually clean because they hold different ends of the work. Inven produces the recurring company pages — the one-pagers and overview slides in the firm's template, from its own data — while Model ML assists inside Office with everything else the team is drafting, modeling, and discussing. Inven does not replace Model ML's Notetaker, the Excel model work, or for that matter a finance agent like Rogo's; those stay exactly where they are.

If the half you are missing is the page — the profile that still gets rebuilt by hand every time a company comes up — book a demo and bring the last one-pager your team made manually. Watching the same page come out of a saved task in your own template is the fastest honest comparison.