Corporate bonds run on relationships. Trumid built a screen that makes room for them - and a network Tradeweb has agreed to buy for approximately $1.97 billion.
A securities loan creates two sets of records and a long list of ways for them to disagree. Equilend built a business connecting the firms involved. Now it wants them working from the same record.
Before an order reaches the exchange, someone has to decide whether it belongs there. HPR builds the machinery that makes that decision in fractions of a microsecond.
Track Data put market data and trading on the same screen. Its history reveals what happens when useful software meets the unforgiving arithmetic of a trading network.
Before a trade becomes an order, it starts as a hunch. TradeStation built a business around what happens in between: writing rules, testing them, and putting them to work.
A trading platform can look overbuilt until the market moves. oneZero sells brokers and banks the machinery to price, route and understand trades when ordinary conditions disappear.
Before an energy trader can trust a forecast, someone has to fix the data. Zema Global Data has built a business around that unglamorous, consequential job.
A trade is over in an instant. OneMarketData’s OneTick keeps the evidence - for the people building trading strategies and the people checking their behavior.
The broker built its business around people who know whom to call. Now it is giving those relationships an exchange, an ownership stake, and an AI workflow.
Behind a useful financial story sits a less glamorous achievement: getting the records to agree. Communify is bringing market data, client information and AI into the same conversation.
Before a bond reaches an investor, somebody has to make the paperwork work. Finsight Group built a business around that overlooked job - and is moving deeper into the numbers.
When the trading floor went quiet in 2020, the market kept moving. What disappeared helps explain what the New York Stock Exchange actually sells.
Two trading-system veterans went looking for a way to run a crypto fund. The missing machinery became Talos: software connecting institutional trading, portfolios, risk and settlement.
Vroom paid about $120 million for Vast’s CarStory business. When Vroom stopped selling cars, the software kept working - a revealing tale about the value, and limits, of knowing what a vehicle is worth.
A GPU has a model number. Useful compute has a price, a performance record and a risk profile. Silicon Data is building the measurements that connect the two.
Selling more cars can still mean making less money. vAuto’s answer was to rethink the clock - and treat every used vehicle as a different investment.
A chart can suggest a trade. CQG handles much of what happens next: the data, the route to an exchange, and the controls around the order. Broadridge has now bought its way into that machinery.
A St. Louis engineering company built its reputation on fast market data. Its newer proposition is more intriguing: stop making so many computers do the same job.
A financial firm can buy more data and still know less than it thinks. GoldenSource has built a business around making the numbers agree - and is now bringing that discipline to AI.
Peru’s startup financing rebounded in 2025, but most of the money was debt. PECAP, the country’s seed and venture capital association, is working on the harder problem: getting more investors to take the first risk.
A former options trader built a business around prices that were hard to find. A financial crisis forced SuperDerivatives to rethink what it sold - and helped turn its data into an acquisition target.
Five global banks have bought into Christian Frahm’s fintech group. His wager: rival institutions can share the software behind finance while competing for the business in front of it.
A designer tired of guessing met a programmer who counted milk by the cow. Seventeen years later, their retail intelligence company says its AI can question 12 years of normalized data spanning 90,000 brands and more than 5 billion SKUs.
The bond market still speaks in fragments - runs, chats, spreadsheets and stale prints. SOLVE built a business by teaching machines to read that mess, then used more than $80 million and a string of acquisitions to turn the resulting data into pricing intelligence.
A 1995 subscription site became a data supplier when customers asked to put its quotes on their own pages. Thirty years later, Barchart serves both the person checking a soybean chart and the grain elevator managing the hedge behind it.
A Kansas City dealer was using seven systems to manage one piece of inventory. VINCUE turned that frustration into a single operating layer - and now it is teaching dealership software to anticipate the next decision.
Before a farmer sprays, a fuel truck loads, a utility deploys a crew or a golf tournament clears the course, someone has to make a call. DTN sells the evidence behind that call.
Free charts won the internet. eSignal kept selling the expensive thing underneath them: licensed market data, delivered fast, inside a workstation built for traders who would rather configure every pixel than trust a generic dashboard.
A free charting tool became a broker, a clearing stack and, eventually, the bridge Kraken wanted between crypto and regulated futures. The clever part was not the candlesticks. It was owning more of what happened after a trader clicked buy.
Banks once stitched trading infrastructure together vendor by vendor. Pico spent 17 years turning that headache into one managed stack - and the network itself into a source of intelligence.