A battery retailer needed to see beyond the national average. Morning Consult’s answer reveals how daily polling became a business in its own right.
A former finance executive found that AI could compress months of planning into weeks. Now Aily Labs is selling large companies a more ambitious idea: connect their data, then help them decide what to do.
Aaru builds simulated populations to test real decisions. Its most revealing result is the distance between what customers promise and what they actually do.
The MIT-born company built AI for messy tables, uncertain demand, and the people who must make the call. Its move into Celonis shows why forecasting needs a place inside the machinery of a business.
A grounded model can be worth more than a mountain of data. Lone Star Analysis turns engineering knowledge, uncertain inputs and simulated futures into decisions about aircraft, maintenance and the price of winning.
Retail loses money in the gaps between design, buying and delivery. Bamboo Rose builds software to close those gaps - and its most revealing success story begins with a very ordinary bill.
A loan can be approved in seconds while a change to its rules waits weeks. Provenir sells financial institutions a way to close that gap - and its customer results make the argument more interesting than the AI label.
A tourism platform and a financial software company reveal GoodData.AI’s bet: before machines can make useful decisions, someone has to decide what the numbers mean.
The expensive part of expertise is often the part missing from the manual. Accrete wants to turn that unwritten knowledge into software that can trace a supplier, follow a narrative and question an IT change.
A company built to answer marketing's awkward question - did that expensive idea actually sell anything? Alembic is taking the question from the campaign dashboard to the executive budget meeting.
The supply chain has plenty of forecasts. Daybreak wants a record of who changed them, why, and whether the change actually helped.
Xfactor.io wants executives to stop admiring last quarter's dashboard and start rehearsing next quarter's decisions. Its wager is simple: revenue needs a flight simulator, not another rear-view mirror.
She learned to read a company through its numbers, then built a company to make those numbers answer back. The Aily Labs founder is betting that the next executive advantage is not more data, but less delay.
A student newsletter, a $30,000 bet and one well-timed survey became Morning Consult. Now its co-founder is wagering that the next research revolution will make answers faster - while making judgment more valuable.
The Manchester AI company turns inventory and pricing data into commercial decisions. Now owned by UiPath, it is taking the next step: helping businesses act on them.
EXUS has spent decades turning collections from a blunt sequence of calls into a configurable system of decisions. Its pitch is less about chasing harder than helping banks know whom to contact, when, how - and when to give a customer another route.
MDS Global began by solving its own billing headache. Nearly four decades later, that operator-built logic sits behind MVNOs, wholesale providers and major carriers trying to launch faster without losing track of who owes what.

Palantir turns an institution’s scattered data into a working model of the institution itself. For teams with expensive decisions and tangled systems, that can be useful - but this is a serious commitment, not a dashboard you buy on Friday.

Sisu turned the most dreaded dashboard question - why did that number move? - into a machine-scale investigation. Its standalone run is over, but its sharpest idea now looks less like a feature and more like the direction of analytics.
The mainframe-era statistics company is betting that regulated enterprises will pay for something free AI stacks struggle to guarantee: one governed path from messy data to a decision someone can defend.
The models get the attention. Fractal built a public company around the less glamorous work - clean data, redesigned workflows and enough trust to let an algorithm influence a real decision.
Most enterprise AI predicts inside one department. r4's XEM is built for the awkward moment after the prediction - when inventory, pricing, logistics and people all have to move together.

From Oracle finance software to Aera's agentic decision intelligence, Folia Grace has made a career of translating complex systems into useful stories - while treating the sentence, the team, and the customer as parts of the same craft.
Most enterprise software tells you what already happened. Aera is betting that the valuable layer is what comes next: a governed machine that recommends, executes, and learns from thousands of operational decisions.
Lumivero assembled a cabinet of stubbornly useful research and risk tools. Its next test is whether a collection of specialist products can behave like one decision system without sanding off what made each one trusted.
The Boston software veteran built its reputation by admitting forecasts are wrong. Its new Decion platform makes a bigger bet: probabilistic AI can help 400-plus customers act on uncertainty without handing the warehouse keys to a chatbot.

Raised around factories and trained as an engineer, LevaData CEO Keith Hartley has spent his career closing the gap between the data manufacturers possess and the decisions their sourcing teams can actually make.

After building software for the measurable world of Amazon ads, the Sapien founder is taking on a stranger problem: modeling human decisions before the real world sends back the bill.
Commodity teams still make million-dollar calls with backward-looking data, stubborn spreadsheets and institutional instinct. DecisionNext turns that messy judgment into transparent forecasts, testable scenarios and decisions a CFO can defend.
o9 Solutions wants to replace the monthly spreadsheet séance with a living model of the enterprise. Its wager: the company that remembers why a plan failed can make the next decision faster - and waste less along the way.