01
Spreadsheets are fragile.
Flexible, but dependent on one person's knowledge. Static logic is hard to audit, maintain, or adapt as the business changes.
The decision engine your business runs on
Every day your business decides how much to stock, what to charge, where to spend, and how to allocate budget and capacity. Deciva turns each of those questions into a decision your team can trust: a clear action grounded in your data, constraints, and objectives.
The problem
The hardest part of a good decision is getting the model right.
Stocking, pricing, spend, and allocation are shaped by uncertainty, hard constraints, and constant change. The challenge is not simply choosing a sophisticated method. It is translating the operating question into the right model, selecting or developing the right method, and keeping both aligned with the business as conditions change.
02
Enterprise platforms are rigid.
Enterprise platforms standardize repeatable workflows. When a decision is distinctive, teams often have to force it into predefined models or correct the output in spreadsheets before making the call.
03
Experts are scarce.
Custom models can be excellent, but they take scarce specialists months to build and maintain, leaving most recurring decisions untouched.
As AI moves from recommending to acting, enterprises need a decision layer.Deciva keeps formulation, method, and data aligned as the business changes.
What we do
We deliver the decision itself.
Deciva is the decision engine for the enterprise. It turns an operating question into a clear action, grounded in your data and the way your business works.
01
Framed around your business
Deciva captures the objective, constraints, and assumptions that make the decision yours, and adapts as those conditions change.
02
Fits into your stack. Or stands on its own.
Use Deciva to strengthen and customize existing systems, or as the decision engine that replaces tools and workflows that no longer fit.
03
Delivered ready to act
The result is a recommended action with its material trade-offs and a report the owner can act on.
How it works
From question to decision in five steps.
STEP 01
Frame
State the question in plain language. Deciva formulates it as a well-posed optimization: objective, constraints, and assumptions, tailored to your business.
STEP 02
Ground
The engine maps the data the decision needs, shapes what you already have into that form, and flags the gaps that need your input.
STEP 03
Model
Deciva builds a model of the environment around the decision: demand, behavior, uncertainty, and the relationships that matter, using the available evidence and explicit assumptions where data is incomplete.
STEP 04
Evaluate
Deciva reconstructs the current approach and tests both the model and proposed alternatives using agreed historical and forward-looking checks.
STEP 05
Solve & Explain
Deciva compares feasible alternatives and returns a recommended action with its expected value, risk, material trade-offs, and an owner-ready explanation.
And it learns. Outcomes and feedback flow back into the engine, so every decision sharpens the next one.
Where it applies
One engine. Decisions across the enterprise.
The science underneath these decisions is shared: forecasting, simulation, optimization, and models of demand and behavior. That common foundation is what lets a single decision engine serve many functions.
Operations
- How much inventory to hold
- Which products to carry
- How to route, schedule, and allocate
From buy depth and assortment to fulfillment and capacity, with the forecasts that feed them built in.
Marketing
- What to charge
- Which promotions to run, and when
- Where the next dollar works hardest
Pricing, promotion, and spend decisions grounded in how your customers actually respond.
Finance
- How to allocate budgets
- Where capacity earns its return
- Which investments to prioritize
Allocation decisions with objectives, constraints, and uncertainty made explicit.
Built for the industries where these calls are made daily
Retail & e‑commerce
Consumer goods
Travel & hospitality
Airlines
Logistics & delivery
Marketplaces
Why trust it
Trust is earned on your data.
01
Tested before rollout
Using agreed historical and forward-looking checks, Deciva compares its recommendation with your current approach before operational use.
02
Assumptions you can inspect
The objective, constraints, inputs, and trade-offs remain visible, so the answer can be understood and challenged.
03
Your team owns the call
Deciva recommends; your people decide. Owners can review, adjust, and approve before execution.
The team
Deep science, shipped at scale.
Deciva was founded by leading academics at top U.S. business schools and applied AI leaders from industry.
For more than two decades, the team has taught, researched, and put into practice the foundations behind Deciva: optimization, pricing, marketplace design, forecasting, and machine learning.
The founding team has worked together for decades and brings experience building production decision systems at Amazon, Google, LinkedIn, Etsy, and Accenture.