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SaaS product teams adding AI features to an existing product

Agencies and consultancies that need specialist engineering for client work

CTOs and engineering leaders who need specialist data, AI or cloud engineers

Data science and machine learning teams with models stuck in notebooks

Founders without a technical background who need a first product built

CEOs and COOs who are not technical and face a technology decision

Startup founders making technology decisions without a technical leader

Operations leaders automating multi-step workflows across systems

Innovation and product leads testing an AI idea before a larger investment

Product teams opening their product to partners and customers through an API

Product teams facing a launch or a large customer's security questionnaire

Founders, boards and leaders facing a big technical decision

Operations teams outgrowing spreadsheets and deciding how to replace them

CFOs and engineering leaders facing a rising cloud bill

Operations leaders whose CRM, ERP, finance and support tools do not share data

Businesses that serve customers through email and spreadsheets

Data and finance leaders who do not trust the numbers in their reports

Product teams that still deploy by hand

SaaS product teams adding customer-facing analytics

Enterprise leaders whose generative AI pilots have stalled

Finance and back-office teams that process invoices and contracts by hand

Executives and operations managers tired of reconciling spreadsheets

Data and analytics leaders consolidating data for reporting and AI

CIOs and IT leaders responsible for an aging core system

Businesses whose developer or agency is no longer available

Founders with a no-code or AI-built prototype that now has to hold up

Engineering leaders with risky, regression-prone releases

Product and data teams who need live data for features, alerts and operations

Engineering teams with frequent outages and noisy alerts

Risk and AI governance leads who review AI systems before they go live

Scale-ups whose SaaS product is starting to strain under growth

Small and medium businesses that run on spreadsheets and manual steps

Customer support leaders who answer the same questions every day

Energy and utility operators working with meter, asset and operational data

Banks, insurers and fintechs that need data and AI work to stand up to audit

Healthcare and life sciences teams using data and AI with sensitive information

Manufacturing and logistics operators who need real-time operations data

Law, accounting and consulting firms with document-heavy work

Retail and e-commerce teams whose product, order and customer data is scattered

Telecom and technology companies whose network and customer data sit apart

Leaders who want an independent second opinion on their cloud

Teams whose cloud was built by hand in the console and is hard to change safely

Founders and acquirers facing the infrastructure part of technical due diligence

Companies where one engineer is the only person who can run production

Teams running web applications that need a production Kubernetes platform

Companies running production without a platform team of their own

Teams that need a secure multi-account cloud foundation they own

CTOs whose product works but whose infrastructure grew by accident

Teams with secrets scattered across env files, CI variables and chat

CTOs with an audit deadline and infrastructure that was never built for one