The shape of a
good decision.

We design the decision processes for teams that price, source, plan capacity, and allocate capital. The systems we build let those teams act on the full spread of outcomes.

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01What we believe

We treat AI as a booster for well-designed operations, not a shortcut around unclear data, weak models, or missing structure. We measure success in variance removed from operational decisions, hours recaptured, and bids that price exposure correctly.

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02How we think

01Probability of outcomes

Size decisions to the distribution.

01Probability of outcomes

A single-number forecast hides the risk that matters. We model outcomes as full distributions, so plans are sized to the P10 and P90 rather than the average, and the worst case becomes a design input instead of a surprise.

02Decisions, branched

Make the choice tree explicit, even when it's small.

02Decisions, branched

Most operational choices hide options: wait for better information, hedge, commit in stages. Drawing the tree, with probabilities and payoffs attached, turns a debate of opinions into a comparison of branches.

03Value of information

Cheap signals first. Expensive ones, only if they pay.

03Value of information

Every signal has a price: a report, a pilot, a month of waiting. We estimate what a piece of information could change before buying it, so analysis stops when it stops paying for itself.

04What moves the answer

Spend modeling effort where the bar is widest.

04What moves the answer

Sensitivity analysis ranks the inputs that actually move the decision. The wide bars earn real modeling attention; the narrow ones get a documented assumption and no more.

03Where we work

The decisions we take on.

Processes that are repeated, instrumented, and consequential: the routine loops where most operating cost lives. Six examples. The scope of an engagement is set together.

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Sales · pricing

Bid quality, win-rate calibration, margin floors. Fewer ad-hoc discounts, more priced exposure.

variance

Procurement

Supplier selection under uncertainty, with total-cost models that include lead-time risk and quality variance.

P10–P90

Forecasting

Demand and capacity as full distributions. Plans sized to the spread, with a deliberate worst-case.

h/wk

Supply chain

Routing and prioritization under capacity constraints, planned against real lead-time variance.

min/case

Customer service

Triage, prioritization, exception handling. Faster routing of the cases that actually need a human.

σ planning

Finance

Forecast review, scenario sizing, capital allocation. Distribution-aware planning with explicit trade-offs.

04What we offer

AI capability uplift

We train your teams to build custom AI workflows: identifying value-adders, surfacing relevant information, integrating tools deeply into existing software, and governing autonomous agents.

12 weeks. Ends with a working system and a team that owns it.

Operational software in development

We are building software for specific industries and operations, designed to plug into existing tools and data and solve a clear, measurable problem very well. First releases targeted for late 2026.

Pilot partnerships. 2 to 4 design partners per product.

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05Who we are

A partnership in Helsinki.

Our backgrounds are in decision analysis, operations research, and AI, and in running the kinds of operating teams we now build for.

Our work focuses on integrating AI into the processes where it materially shifts outcomes. We also help clients apply modern mathematical modelling to sharpen strategy and operations.

Base: Helsinki, FI
Founded: 2025
Fields: Mathematics, AI

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The shape of agood decision.