data-integration
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Left Right Mind wants AI to check the fine print
From a $30,000 home-services app to NASA search tools, Left Right Mind has built a business around making information useful. Its next pitch: catching the gaps between what companies promise and what they actually do.
Aker Systems takes five months out of the data queue
The British data specialist says it cut Home Office integration times from seven months to two. Its business is built around a stubborn problem: getting sensitive information to the people who can use it.
eOne’s 25-Year Bet: Move the Data, or Leave It Where It Is
The Fargo software company spent two decades making old business systems talk. Its latest trick is knowing when data should not move at all.
Domo Built the Business Dashboard. Now Its $400 Million Exit Is the Real Data Point
Domo spent 16 years turning scattered corporate data into dashboards, apps, workflows, and AI agents. Its next chapter is a $400 million sale to Progress - a useful lesson in both the power and the economics of becoming a company’s data operating layer.
The Spreadsheet Tax on Nonprofits - and the 24-Year-Old Software Company Trying to Kill It
Omatic built a business in the least glamorous corner of fundraising: the gap between a donation and a trustworthy donor record. Its pitch is simple - let software move the data so nonprofit staff can move the mission.
Qlik’s 33-Year Bet: The Dashboard Was Only Half the Job
Qlik built its name by letting people wander through data instead of following a prewritten query. Then it bought the pipes beneath the charts - and turned a clever analytics engine into a much larger bet on enterprise AI.
r4 Technologies Wants to Fix the Most Expensive Part of AI: Nobody Acts Together
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.
Semarchy Wants to Fix the Boring Data Problem That Breaks Expensive AI
Before an enterprise can ask AI to change the business, somebody has to reconcile the customer called three different things in 14 systems. Semarchy is betting that the unglamorous work of mastering, governing and moving data can become one product - and reach production in weeks, not years.
CData Built the Boring Plumbing. Now 10,000 Companies Need It for AI.
The enterprise AI race has produced a very old problem: the useful data is scattered everywhere. CData spent a decade standardizing those connections, and its unglamorous specialty has become the layer everyone suddenly needs.
Jitterbit Connected the SaaS Explosion. Now It Wants to Keep AI Agents From Breaking the Office.
The 23-year-old integration company grew by making incompatible software talk. Its next bet is that the same plumbing can keep enterprise AI useful, visible, and on a leash.
Safe Software Built a $100 Million Business Translating the Data Nobody Else Wanted to Touch
FME began as a translator for stubborn map files. Three decades later, Safe Software is betting that the same obsession with interoperability can make enterprise data - and the AI consuming it - behave.
Airbyte Killed Its First Product - Then Turned Boring Plumbing Into a $1.5 Billion Company
A paid marketing tool died when COVID froze its buyers. What survived was the expensive, brittle connector code underneath - and a repeatable playbook for turning customers' least-loved engineering work into a platform.
The Startup That Bet Data Movement Should Cost a Flat Fee
A 13-person shop in suburban Philadelphia is going after the plumbing nobody sees - the pipelines that move enterprise data - by making it workflow-driven, auditable, and priced like a utility instead of a taxi meter.
Usetech Wants AI to Leave the Demo Room and Run the Factory Floor
The Dubai-based technology company is betting that enterprise AI matters most when it can spot a failing machine, reconcile a broken data flow or turn a camera feed into an operational decision.
Treasure AI
Treasure Data spent 15 years teaching enterprises to recognize a customer across a maze of systems. Now, under a new name, it wants governed AI agents to turn that memory into action - without asking marketers to babysit another dashboard.
Precisely
The 1968 mainframe sorting company you have never heard of quietly became the plumbing behind 95 of the Fortune 100's data - and it is now betting the house on making that data safe for AI agents to act on.
Cashboard
Cashboard is a New York-based, Y Combinator-backed (S22) startup building a semantic layer that sits between a company's financial data and AI. It stores the metrics, data models, mappings and permissions that let AI agents - and finance teams - produce accurate, governed FP&A work: reports, dashboards and analysis pulled from 900+ connected systems. Founder Julian Rowlands frames the goal as turning AI into a 'trusted FP&A machine' and, eventually, the 'solo CFO.' The company raised a $5M seed led by FINTOP Capital in July 2026.
Lexer
Lexer is a Customer Data and Experience Platform (CDXP) built for retail and consumer brands. It unifies fragmented data from ecommerce, in-store, loyalty, email and SMS into a single customer view, then layers on analytics, predictive intelligence and activation so marketing, sales and service teams can understand and engage customers in a personalized way. Founded in Melbourne in 2010 and now used by 150+ brands including The Iconic, Rip Curl, Zimmermann and Quiksilver, Lexer positions itself as a retail-specialized alternative to horizontal enterprise CDPs.
AI One
AI One is a New York-based enterprise software company that builds an Enterprise Context Management (ECM) platform - a lightweight layer that sits beneath enterprise AI and agentic applications. Rather than forcing companies to migrate data into a new lake or warehouse first, AI One connects directly to the systems large organizations already run (Salesforce, Workday, on-premise databases, APIs and documents), resolves entities across fragmented data, and enforces security and permissions so AI operates with real business context instead of guessing. Founded in 2024 by Conor Twomey and Fergus Keenan, the company targets Fortune 500 firms in financial services, healthcare, insurance, energy and private equity, and raised $11M total including a $7M Series A led by Vestigo Ventures.
Aleph
Aleph is an AI-native financial planning and analysis (FP&A) platform that lets finance teams keep working in the spreadsheets they already know while syncing live data from 150+ source systems. Founded in 2020 by Albert Gozzi and Santiago Perez De Rosso and part of Y Combinator's Summer 2021 batch, the New York company pairs a web-based data platform with Excel and Google Sheets add-ins and AI that automates data cleaning, variance analysis, and reporting. Backed by Khosla Ventures, Bain Capital Ventures, Picus Capital, and Y Combinator, Aleph serves customers including Webflow, Turo, Notion, Zapier, Harvey, and Chess.com.
Black Tiger
Black Tiger is a data platform company that helps enterprises turn messy, siloed data into trustworthy business results without lengthy migrations. Its virtual index technology connects directly to existing databases and applications, then applies AI-assisted rules to clean, deduplicate, verify and govern data in real time. Serving customers such as Honda, OVHcloud and Audika across France, Belgium and beyond, Black Tiger pitches fixed-price licensing and 2-to-3-month rollouts as an alternative to slow, usage-priced legacy data platforms.
Courier Health
Courier Health is a New York City software company building the first patient relationship management (CRM) platform purpose-built for life sciences. Its AI-powered system connects fragmented data across biopharma commercial teams to orchestrate the patient journey - from education and enrollment through benefits, prior authorization, therapy initiation, and adherence - helping patients with chronic and rare diseases start and stay on treatment. The company raised a $50M Series B led by Oak HC/FT in April 2026.
Flume Health
Flume Health is a New York-based healthcare technology company building operational infrastructure that connects the fragmented data ecosystem behind health plans. Founded in 2017 by Cedric Kovacs-Johnson and Vineeth Bhuvanagiri, Flume gives payers, third-party administrators, and vendors a way to move, translate, and make sense of healthcare data. It started as a plan administrator, pivoted to the Relay integration platform, and has since evolved into an AI-native data platform - mapping enterprise data estates into a living knowledge graph and running domain-specific AI agents so non-technical teams can query and act on healthcare data in plain language.
IgniteData
IgniteData is a healthtech company automating the transfer of clinical trial data between hospital electronic health records (EHRs) and sponsors' electronic data capture (EDC) systems. Its flagship platform, Archer, is a cloud-based, system-agnostic 'Virtual Research Assistant' that uses HL7 FHIR and SMART on FHIR APIs to move clinically validated data securely and automatically, cutting manual transcription, reducing source data verification, and helping treatments reach patients faster. Founded in the UK and now operating on both sides of the Atlantic, IgniteData works with pharmaceutical sponsors like AstraZeneca and research hospitals including UCLH, Cambridge University Hospitals, and Memorial Sloan Kettering Cancer Center.
Redox
Redox is a Madison, Wisconsin-based healthcare technology company that runs a cloud network for exchanging clinical and administrative data between health systems, digital health vendors, payers, and life sciences companies. Founded in 2014 by three former Epic Systems engineers, Redox lets a customer connect once to a single API and then reach thousands of healthcare organizations across dozens of electronic health record systems, rather than building and maintaining hundreds of point-to-point integrations. The platform handles standards like HL7v2, CCD, X12, and FHIR, and processes billions of data transactions a year.
SEAD Software LLC
SEAD Software LLC is an Englewood Cliffs, New Jersey company that builds enterprise applications on Co-Wright, its proprietary low-code/no-code development platform. Combining full-stack development teams with drag-and-drop tooling, SEAD helps mid-sized businesses across finance, manufacturing, healthcare, supply chain, real estate and non-profits consolidate scattered data into a 'single portal of truth,' automate operations, and stand up custom, white-labeled applications at a fraction of the time and cost of traditional development.
Tracer
Tracer is a New York-based collaborative data intelligence platform that aggregates, normalizes, and enriches data from any source - ad platforms, sales systems, commerce, and finance - into a governed, unified layer that non-technical teams can query in real time. Incubated inside VaynerMedia starting in 2015 and spun out as an independent company in 2021, Tracer positions itself as 'the intelligence layer for AI-driven enterprises,' serving more than 200 customers including Sanofi, Papa Johns, Conde Nast, and Headspace. The company has raised roughly $30M-$58M across rounds, including an oversubscribed $18.1M Series A in August 2023.
Epik Solutions
Epik Solutions (Epikso) is a Pleasant Hill, California-based digital transformation and IT consulting company that helps organizations modernize operations through cloud, data, analytics, AI, and customer-experience services. Its flagship no-code platform, View360, digitally maps an organization's entire business experience so leaders can unify siloed data and act on real-time insights. Founded by CEO Ashish Kataria and built around the tagline 'the power of technology plus the power of human intuition,' the firm serves clients across energy and utilities, government, healthcare, finance, manufacturing, retail, and technology.
K2view
K2view is an enterprise data company founded in 2009 and headquartered in Yokneam, Israel, with US operations in Texas. Its patented Data Product Platform is built on a proprietary micro-database technology that organizes fragmented enterprise data by business entity - a customer, order, product or loan - so each entity's data lives in its own encrypted, real-time, individually managed database. The approach powers data integration, test data management, data masking, synthetic data generation and, increasingly, AI-ready data pipelines that ground large language models and AI agents. K2view serves large enterprises in telecom, banking, healthcare, insurance and retail, including AT&T, Verizon, Vodafone and BBVA, and has raised roughly $43 million in funding.
Mage
Mage is a San Francisco Bay Area software company that builds an open-source and enterprise data pipeline platform for integrating, transforming, and orchestrating data. Founded in 2020 by former Airbnb engineer Tommy Dang, Mage offers a notebook-style, developer-friendly alternative to Apache Airflow, letting teams build batch and streaming pipelines in Python, SQL, and R. Its managed Mage Pro tier adds enterprise orchestration, collaboration, and AI-assisted authoring that generates, debugs, and refactors pipeline code from natural language.