Your data, your rules
Every assistant, every dashboard, every workflow lives inside your Azure tenant. Nothing travels to public AI services. Nothing trains someone else's model.
Private AI assistants, forecasting models, and automated dashboards built on Microsoft Azure, inside your own tenant. Your data is never used for training and never shared, and the first results arrive in weeks. It's the same stack we use to run our own products, FinnVersion and NextEPS.
Datajul LLC is a US company with serious engineering behind every project. But the work is always about your business, your people, and the outcomes you actually care about.
Every assistant, every dashboard, every workflow lives inside your Azure tenant. Nothing travels to public AI services. Nothing trains someone else's model.
We design for the people who work with them every day — simple interfaces, plain language, and training that sticks. Strategy and team training are included in every project.
Our own products, FinnVersion and NextEPS, run on the same Azure stack we deploy for clients. The patterns we bring you are already tested in production.
A version of ChatGPT that knows your business but keeps your data private. Answers questions, drafts emails and finds information across your internal documents — running inside your own Azure tenant.
Models that predict what comes next — demand, revenue, churn, earnings. Trained, versioned and deployed on Azure Machine Learning, and back-tested honestly against simple baselines before anyone relies on them.
Stop updating spreadsheets by hand. Live dashboards that pull data from all your tools automatically — sales, operations and finance, always current.
We find the repetitive tasks slowing your team down — data entry, meeting summaries, invoice processing — and build AI systems to handle them automatically.
Break down the walls between departments. Sales, finance and marketing data connected into one governed data platform, so everyone works from the same numbers.
Encrypted end to end, access only for people you approve, never used to train AI. We build with Azure's own security controls, on a cloud certified for SOC 2, ISO 27001 and HIPAA workloads.
Strategy, documentation and hands-on team training are included in every project.
FinnVersion and NextEPS are products of Datajul LLC. Both are live and run on Azure, and both use the same data engineering and machine learning we bring to client projects.
Write your investment mandate in a sentence. FinnVersion turns it into screening rules, filters the S&P 500 and builds a diversified portfolio — with every position size computed in code, never guessed by a model.
Machine-learning forecasts of next-quarter earnings per share for every S&P 500 company. Search a name or ticker, see its earnings history and the forecast — with an honest confidence label attached.
FinnVersion and NextEPS are research tools, not investment advice. Datajul LLC is not a registered investment adviser.
Every client project runs in your own Azure tenant, under your identity, your policies and your bill. Our own products use the same stack, with models built in Azure Machine Learning and apps hosted on Azure.
We listen to your goals and review your existing data. Together we identify the quick wins where AI and automation save you the most time and money first.
We build your solution directly inside your own Microsoft Azure environment. You own everything we create, and your data stays exactly where it belongs.
We roll out the tools with clear training and documentation, then stay by your side to monitor performance, optimize costs, and make sure you see real results.
Everything is encrypted, only people you approve can access it, and your business information is never used to train AI. It all runs on Microsoft Azure, the same cloud trusted by banks, hospitals and governments.
Everything runs inside your own Microsoft Azure tenant — right next to your emails and files. Nothing is sent to us or any third party.
Your files are scrambled when stored and when moving between systems — the same protection banks use. Even if intercepted, no one can read them.
Your documents, emails and conversations stay your business knowledge. They're never fed into public AI products or shared with OpenAI, us, or anyone else.
You decide who has access to what. Sales sees sales, finance sees finance. New hires get access instantly — people who leave lose it instantly.
Every question asked, every file accessed, every answer given — logged in your own Azure environment, so audits become painless.
We don't bolt security on at the end. Private connections, automatic password rotation and security reviews are there from the very first line of code.
Every company is different. Ask us for a plain-English walkthrough of how we'd protect your specific workflows.
Still curious about something else? Drop us a line — real humans answer within 24 hours.
Yes. Unlike public AI tools, everything we build runs inside your own Microsoft Azure tenant. Your data is never shared with third parties, stays under your control, and is never used to train other AI models. It's protected the same way your company email and files already are.
Azure is our home platform. Our client work and our own products, FinnVersion and NextEPS, are all built on it — Azure Machine Learning, Azure OpenAI, Microsoft Fabric, Power BI and the rest of the Microsoft stack. If your company already uses Microsoft 365, you're most of the way there.
We build on Microsoft Azure, whose platform is independently certified for SOC 2 Type II, ISO 27001 and HIPAA workloads, and we design every system with GDPR and CCPA requirements in mind. Your data is encrypted at rest and in transit, only approved people can access it, actions are logged for audits, and nothing is ever used to train AI. We're happy to walk you through the setup in plain English before you commit.
They're Datajul's own products, built and run on Azure. FinnVersion turns a one-sentence investment mandate into a diversified S&P 500 portfolio with a cited thesis for each holding. NextEPS forecasts next-quarter earnings per share for S&P 500 companies. Both are research tools, not investment advice — and both use the same engineering we bring to client projects.
Not at all. We handle the technical work under the hood. Our goal is to deliver simple, easy-to-use tools your team can start using immediately without needing a data science degree.
We move fast. Most of our clients see their first working prototype within 2 to 4 weeks. We believe in building small, useful tools quickly rather than spending months on projects that never launch.
We can work with whatever you have — messy Excel files, PDFs, or modern databases. Part of our job is helping you organize what you have so it becomes useful for AI.
Every business is different, which is why we start with a free assessment. Fixed-price quotes for specific milestones so you always know exactly what you're paying for and the return on investment.
Our tools are co-pilots — they handle the boring, repetitive parts of the job so your people focus on the creative, strategic work only humans can do. It's about making your team 10× more productive, not replacing them.
Tell us what you're trying to build or automate. We'll respond within 24 hours with a clear, jargon-free path forward — no commitment required.
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