Top Tech Startups to Work For in 2027

Kooltra is reimagining foreign exchange. Our cloud-based platform automates core workflows, provides real time and big-data analytics, and seamlessly connects customers and their clients. At the enterprise level, Kooltra replaces legacy back-office technologies, or integrates with them to provide a layer of advanced insights and a modern interface to engage clients. For smaller FX businesses, Kooltra replaces manual processes with an out-of-the-box, turnkey solution to scale growth while reducing permanent overhead. Kooltra was founded in Toronto in 2014. The company has since grown rapidly, with customers from around the globe relying on Kooltra’s platform to run their FX businesses. Our solution is built on Amazon Web Services and Force.com.

We work on cutting-edge and sometimes bleeding-edge technologies; building some really cool products in the Enterprise SAAS, Retail, AI, and Blockchain space! Looking for an organization where you can explore your skillset, have ownership and grow faster?

Skyven Technologies is an Energy-as-a-Service company which funds and de-risks capital projects to reduce carbon emissions caused by process heat. It pursues industrial decarbonization with a tech-forward business model that aligns its revenue stream with its customers’ environmental and operational goals.

We are working on building software to enable you to use your brain tomorrow the way you use a mouse and keyboard today, and hardware to enable the next generation of computing.

Founded in 2011, HPR (Hyannis Port Research) is the leading provider of advanced market access products including pre-trade risk management solutions. HPR's Riskbot® and Softbot® are among the most advanced technologies ever developed for the financial markets, featuring unparalleled performance and reliability. Riskbot and Softbot act as trading gateways for the industry's top trading firms while inspecting orders traveling to and from financial markets and stopping erroneous trades that would otherwise cause disruptions such as the Flash Crash. Our revolutionary technology can inspect such information in the time is takes a beam of light to travel less than 400 feet.

Plurilock provides identity-centric cybersecurity for today’s workforces. The Plurilock family of companies enables organizations to operate safely and securely while reducing cybersecurity friction. Plurilock offers world-class IT and cybersecurity solutions through its Solutions Division, paired with proprietary, AI-driven and cloud-friendly security through its Technology Division. Together, the Plurilock family of companies delivers persistent identity assurance with unmatched ease of use.

Firsthive is an Intelligent Customer Data Platform that builds Unique Customer Identities by ingesting data from all sources of customer interactions & transactions such as ERP, CRM, Website, Social, PoS, mobile app, customer care, etc. We are the world's first CDP to use Machine Learning for building unified customer identities and layer it with actionable campaign targeting recommendations to deliver a disproportionate jump in Marketing ROI. FirstHive is privacy by design, GDPR compliant product & also delivers a cross channel campaign orchestration capability on the unified customer data set. With FirstHive, enterprises have experienced up to 6X jump in their Marketing ROI matrices. FirstHive has customer deployments across Indo-Pacific and US regions today including in some of the leading BFSI, FMCG & Manufacturing enterprises.

Fospha is an analytics company looking at user journeys through online and offline systems. Our work is relevant to many industry sectors and combines computer science, software engineering, mathematics, data science and user interface design. The largest current demand we have is to help companies discover, report on and improve the economics of acquiring new customers and to attribute customer acquisition costs to the value those customers generate over their lifetime. This involves data integration to follow user activities over time and across different systems, correlation and analysis to link together the actions of individual users across all the devices they might be using, segmentation of users against the routes they arrive on, their behaviour and their outcomes, and predictive modelling to identify probable outcomes and trigger automatic interventions to improve those outcomes.