The company’s bet is simple: enterprise AI earns its keep when it can reach the information people need to do their jobs. A football-equipment maker shows what that looks like.
An elephant alert, a student record, an insurance policy. Three very different problems reveal the same business: helping information reach the people who can use it.
A water pipe can have two identities: one on a map, another in an enterprise database. CyberTech builds the connections that help utilities, cities and transit agencies agree on what is actually there.
Before a company can change its technology, it has to agree on what it owns. SAP LeanIX turns that surprisingly difficult question into a shared map - and, sometimes, a shorter shopping list.
The Silicon Partners turns the repetitive work of SAP transformation into reusable tools. Its bigger bet: the decisions made during a project should keep working long after the consultants leave.
The cloud promises to go everywhere. SAP NS2 makes a business of controlling where it goes, who can touch it, and how government gets its work done.
A refinery mixer is an expensive place to discover your AI was wrong. Enterprise Minds builds digital twins, automation and enterprise software around a practical idea: test the intervention before making the change.
A document can cross a global network and still fail at the printer. Levi, Ray & Shoup built a business around getting it the rest of the way.
A cinema ticket is the start of a surprisingly complicated chain. Savantis connects the customer-facing moment to the machinery behind it - and sells the expertise to keep that machinery running.
A cloud migration can become a data problem. A data problem can become a security problem. Axity built a Latin American IT business around following the whole chain.
Big buyers want to pay later. Their suppliers want cash sooner. SAP Taulia sells a way for both to get their wish - provided someone funds the days in between.
Factories buy sophisticated software, then send technicians out with paper. Sigga closes that peculiar gap between what SAP knows and what maintenance crews can actually do.
A nine-month contract can reveal more about an IT company than a page of promises. Codesoft’s story lives in the space between buying technology and finding the people who can make it work.
A factory can have two names for the same spare part and pay for the confusion twice. Utopia Global built a business around making enterprise data agree with the world it describes.
A dock, a service ticket, a factory: Fingent builds software for the awkward gaps between people and their systems. Its most useful lesson is to follow the handoff before buying the technology.
A customer should not have to discover your billing error. Datricks connects to enterprise systems and watches the financial process unfold, looking for the exceptions a periodic audit may miss.
A collection truck, a weighbridge and an invoice ought to tell the same story. ISB Global has spent decades building software to make that happen - and more than £15 million rebuilding it for bigger ambitions.
More than 800 paper forms at one car manufacturer tell the story. On Device Solutions builds mobile software for the people doing the maintenance, counting the stock and keeping the machinery moving.
The UK consultancy works on both sides of the shopping basket: the data that moves products and the images that help people choose them. Its most revealing work makes complicated things easier to see.
A Kimberly-Clark migration cut technical downtime from 18 hours to five with help from ActiveControl. Behind that result is a British software company betting that better change decisions can matter as much as faster deployments.
WalkMe built a business around an awkward corporate truth: buying software is easy, but getting people to use it is expensive. Its journey from browser prompts to SAP's $1.5 billion adoption layer offers a practical playbook - and a warning - for anyone selling change to large companies.
The 54-year-old German software maker quietly runs the plumbing of global business - and it is betting its next chapter on AI it calls Joule.
Lab0 is a Y Combinator (P26) startup building AI forward-deployed engineers (AI FDEs) that automate the entire post-sales delivery process for enterprise software - discovery, configuration, integration, testing and go-live. By running these phases inside the systems customers already use, such as ServiceNow, SAP, Salesforce, Workday and Jira, Lab0 aims to compress deployments that normally take six months into about ten days, turning consulting-heavy rollouts into a self-serve product.
Mercura is a Munich-based YC W25 startup building AI software that turns messy sales requests - emails, tender specs, phone calls - into structured, spec-compliant quotes and orders for industrial distributors and manufacturers. It reads unstructured inquiries, matches them to catalog products, prioritizes margin, and pushes the result straight into a customer's ERP.

apiphani is a Boston-based, AI-native managed services company that keeps mission-critical enterprise applications - especially complex SAP and Oracle environments - running without downtime. Instead of the labor-arbitrage model used by large global systems integrators, apiphani pairs small teams of senior engineers with its proprietary observability platform, luumen, and its Deep Automation technology to detect and resolve issues before users notice them. Founded in 2018 and led by CEO Justin Folkers, the company reports 100% production uptime across its clients for more than two years and raised a $25M Series A led by Insight Partners in October 2025.
DataPattern is a San Ramon, California based IT services and consulting firm founded in 2019 that helps regulated and data-heavy enterprises move from legacy systems to modern data, AI and IoT platforms. Its teams build data engineering pipelines, generative AI and machine learning solutions, IoT use cases, cloud migrations and DevOps/MLOps practices, with a stated emphasis on data governance, quality and lineage as the foundation for reliable AI. The company works across manufacturing, healthcare, finance and energy, positioning itself as a hands-on transformation partner rather than a single-product vendor.
DynPro Inc. is a Raleigh, North Carolina-based global IT consulting and services firm founded in 1996. It helps Fortune 500 and mid-market organizations orchestrate fragmented data, processes and customer experiences across enterprise platforms, with practice areas in Process Transformation, Data & Integration, and Automation & Advanced Analytics. DynPro implements and integrates SAP, Salesforce, Workato, Snowflake and related cloud ecosystems, and complements delivery with IT staffing and talent solutions from offices in the United States, United Kingdom, India and Morocco.
Luzid is a San Francisco-based startup building agentic AI for enterprise software implementations. Its AI agent, David, orchestrates every phase of SAP and Salesforce projects - capturing requirements from workshops, tracking scope in real time, and auto-generating test scripts. Founded in 2025 by Stanford grads Andres Carranza and Matheus Dias, Luzid targets the roughly 75% of implementation projects that run over budget or over time, and is used by SAP system integrators including Numen, delaware, NTT Data and Seidor.
Nova Intelligence builds an agentic AI platform purpose-built for SAP teams. Its AI agents analyze, document, modernize, and generate the custom code that runs payroll, supply chains, and finance inside Fortune 500 systems, mapping legacy custom code to SAP standard to cut complexity and cost. Founded in 2024 by a Google DeepMind researcher, a repeat founder, and the co-inventor of SAP HANA, Nova targets the roughly $89 billion S/4HANA migration wave companies must complete by 2030. It has raised $40M total, including a $31.5M Series A led by Chemistry.
PrideVel Consulting LLC is a Naperville, Illinois-based IT services and consulting firm that has spent two decades as an SAP Services Partner and a global professional-services partner for Cisco. The company helps mid-size and large North American enterprises run S/4HANA and SAP HANA migrations, cloud infrastructure, IoT and mobile projects, leaning on proprietary automation (ABAP optimization, BW migration) and a 'Rapid Business Solutions' plus Design Thinking method it says cuts cost and time-to-market by roughly 40%. More recently PrideVel has repositioned its website around 'The Control Layer for Enterprise AI,' extending its SAP-and-cloud heritage toward AI governance and chatbots.