For deal teams and operating partners.
Pricing is the fastest lever in a value-creation plan and the one most often assumed rather than tested. Albi gives a deal team a pricing read on a diligence timeline, and gives an operating partner the same method run consistently across a portfolio.
And what usually forces the question.
Deal team — during diligence
The model assumes a pricing uplift. The question is whether the target's own data supports it, and what quality of revenue sits under the reported ARR.
Operating partner — first hundred days
Pricing is on the value-creation plan. It needs an owner with a method, not a one-off consulting project that ends at a recommendation.
Portfolio-wide
The same diagnostic run across companies, so pricing headroom is comparable between them rather than argued case by case.
What's different about this engagement.
- Diligence timelines are short
A pricing read is scoped to what the available data supports — realized-vs-list, discount discipline, competitive position, and sized headroom — rather than a full engagement compressed badly.
- Projected is always labelled projected
Every number carries what it was computed from and when. Uplift projected on a company's own book is never presented as a realized result.
- The read becomes the plan
Post-close, the diligence engagement continues as the pricing workstream. The evidence assembled in diligence is the same evidence the first proposal is argued from.
- Consistent across the portfolio
The same modules, the same method, the same exhibits — so a pricing conversation at one company transfers to the next.
The questions that bring us in.
Is our pricing where it should be?
A read on your current pricing against your own book and the competitive set.
Is this company's pricing a risk, or the upside?
A pricing read on a target or a portfolio company, on a diligence timeline.
We're moving from seats to usage. How do we not break the book?
A value metric that tracks what you deliver, and a migration that protects the base.
Our discounting is out of control. What do we do?
What your realized price actually is, and a policy your pricing supports.
We need to raise prices. How much, and who absorbs it?
Uplift sized on your own book, cohort by cohort, with the churn risk modelled first.
It doesn't stop at the recommendation.
Most pricing advice ends with a deck. What you are buying here is that the evidence underneath the price stays current — and that someone tells you when it has moved enough to matter.
Your own book
Realized price, discounting, retention and mix — computed from your invoices rather than reported off your pricing page. This part is software on your own data, so it is current as soon as a sync lands.
Competitive pricing
Your pricing expert re-reads competitor rate cards, normalised to comparable tiers, so a repricing reaches you from us rather than from a deal you have just lost.
Willingness to pay, per segment
Demand does not hold still. Your expert re-runs the instruments so you see the band move before a slipping win rate tells you months later.
The economic value model
What you are worth against the buyer's next-best alternative. Your expert rebuilds the model as your product does more and the alternatives move.
Your own book is live because it is your data — the analyses recompute as soon as a sync lands. The rest are cadences a person keeps, not alerts a dashboard fires: your pricing expert does the refresh and brings you the read. Each one either confirms the price you are charging or turns into a proposal, and nothing changes until you approve it.
The Albi workspace
Your engagement runs in a workspace you log into. Your expert works there on your data; you review the evidence, read the proposal, and approve the move. Approved pricing provisions into Stripe from the same place.
- One workspace per pricing initiative, with the evidence behind every number
- The proposal, the working underneath it, and the approval in one surface
- Nothing reaches your billing system until you approve it
Next: the answer where the question gets asked
Not built yetNobody asks a pricing question in a pricing tool. They ask it in the thread where a deal is being argued, on the record where the opportunity lives, or through an agent already halfway through a task. We are building toward Albi answering in those places, from the same evidence — and none of it changes who approves a price.
- In the deal threadChat, wherever your team argues deals — Slack, Teams, or whatever you actually use.
- In your CRMThe guidance on the opportunity record, where the rep already is.
- To your own agentsAn MCP server, so agents you already run can read your pricing evidence directly.
- Through the APIYour own surfaces, your own workflow, the same evidence behind it.
Approval does not move. However the question reaches us, the answer comes back as a proposal a person signs off.
Bring us a target, or a portfolio.
A 30-minute conversation with a pricing operator. If it isn't a fit we'll say so on the call.