A stroller company offers an unexpectedly useful lesson in cloud computing. UPPAbaby had implemented Salesforce with AllCloud, connecting marketing and customer service to NetSuite and Zendesk. Then everyday business caught up with the new system. Swatch orders pushed Marketing Cloud toward contact limits. Automation errors appeared. Duplicate account and warranty records accumulated. The grand digital transformation had reached the small, untidy business of selling things.
AllCloud returned to those details. Its managed services team set up recurring Cloudingo jobs that merged roughly 40,000 records, filtered which contacts entered marketing campaigns, and connected order information. The lesson for a buyer is wonderfully unglamorous: budget for what happens after launch. A system starts encountering new requirements as soon as people use it.
- Builds and runs AWS, Salesforce, data, and AI systems.
- Customer examples range from stroller warranties to loan servicing.
- The buying lesson: define a task, measure it, and fund the upkeep.
Two clouds, one unfinished job
AllCloud occupies the space between buying business technology and getting useful work from it. The company designs cloud architectures, migrates applications, builds data platforms, implements Salesforce, and manages the resulting systems. Its customers include mid-market businesses and enterprises whose infrastructure, customer records, and operational data need to work together.
The awkward part is the handoff. A customer service change can require application work, data cleanup, and infrastructure decisions in the same project. AllCloud sells the ability to handle those dependencies within a shared engagement.
That combination was present at the beginning. Yosi Frenkel and Lahav Savir established AllCloud in 2014 by bringing together Blat-Lapidot, a Salesforce specialist, and Emind, an AWS specialist. Salesforce dealt with the customer-facing business; AWS supplied the infrastructure underneath. Combining those skills gave AllCloud a practical reason to exist across departmental boundaries.
Expansion followed the same logic. The 2018 acquisition of Figur8 added a North American Salesforce business, alongside a $7 million financing and Eran Gil’s appointment as CEO. In December 2019, AllCloud announced another $18 million, led by Eastside Partners with Salesforce Ventures participating. The stated priority was acquisitions and broader services. In 2021, buying Integress added North American data and analytics expertise.


The fifteen-percent test
Consider LoanPro, a lending software company. During a borrower call, a service agent might have access to a payment history without being able to understand it quickly. Missed payments, fees, and account activity still had to be assembled into an explanation. The information existed. Finding the story inside it consumed time.
Working with AWS and AllCloud through the AWS Generative AI Innovation Center, LoanPro built a summary interface and chat component powered by Anthropic’s Claude. Agents could question the loan record while the system retained an accounting of their software interactions. AllCloud’s case study reports calls up to 15% shorter for agents using the tool compared with those who did not.
That qualification matters. This is a reported customer result, bounded by a particular workflow. It also suggests a sensible buying question: which task will become measurably faster? A borrower call supplies an answer that a general promise about artificial intelligence cannot.
shorter calls,
up to.
A database gets a new shop window
Worldbox provides another view of the same skill. The Swiss business intelligence company holds information on more than 400 million businesses. Its traditional API delivery model faced pressure as generative AI made company research easier. Worldbox needed a way to sell verified information through the tools customers were beginning to use.
AllCloud helped design a distribution model on AWS Marketplace, with free discovery and paid access. A Model Context Protocol server connected AI agents to Worldbox’s existing APIs. Launched in August 2025, the channel automated onboarding and API key provisioning. An AWS customer account reports an estimated 80-90% reduction in integration time.
The useful move was preserving the valuable database while changing how people reached it. For another data business, the copyable idea is to examine distribution and onboarding before assuming the underlying product needs replacing.
- 01Existing databaseKeep the verified information
- 02Secure MCP connectionLet AI agents reach the APIs
- 03AWS MarketplaceFree discovery + paid access
The invoice follows the work
AllCloud sells professional and managed services, with reusable software and frameworks supporting delivery. Engage, its AWS managed services offering, has Essential and Professional tiers spanning support, financial management of cloud spending, architecture advice, monitoring, and security. Its Salesforce managed services page describes fixed pricing, defined deliverables, and success metrics. Buyers purchase an ongoing operating relationship as well as implementation work.
Its intellectual property addresses recurring engineering chores. TrustStack packages preventive security controls and deployment practices. AI Fusion, launched in October 2025, combines governance, enterprise knowledge retrieval, integrations, and document workflows. AllCloud says the framework is designed to deliver AI deployments up to 70% faster. Treat that as a vendor claim to test against a scoped project.
For a materials science client, AllCloud began with an AWS services cost estimate and an architecture review with internal data scientists. Directly prompting a general model was judged inadequate for the specialist questions; the team used retrieval-augmented generation to bring relevant research into answers. This is a useful procurement sequence: price the infrastructure, check the information, then validate the answer with people who understand the subject.
Someone has to stay after the demo
By September 2026, AllCloud was formalizing that closeness through a Forward Deployed Engineering practice: teams embedded inside customers, with production software, training, and documentation among the deliverables. October brought membership in the Claude Partner Network as a Select partner and Salesforce’s Forward Deployed Engineering Partner Network. The emphasis had moved toward getting AI into daily operations.
There is an amusing internal echo. In an AWS article, CTO Peter Nebel described AllCloud’s own information scattered across Salesforce, Google Drive, Bamboo, and Confluence. Even the company hired to connect systems had the familiar problem of employees searching several places for an answer.
“AllCloud faces the common challenge of information sprawl.”
Peter Nebel, CTO / quoted by AWS, March 2025
AllCloud’s published values include humility and a willingness to change course; its charitable program supports community activities. Those are company commitments. The stronger evidence of its working method sits in the customer examples: revise the filters, connect the records, train the team, keep improving.
For buyers, its position is fairly specific: a services partner with AWS, Salesforce, and data expertise, competing with other consultancies and internal engineering teams. The fit is strongest when those systems intersect. If the essential data cannot be accessed or trusted, or nobody can define an acceptable answer, adding an agent leaves the hard question unresolved. Start with one workflow and an owner who can judge whether it improved.