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ORM Technologies is a predictive revenue analytics platform for B2B SaaS companies. The platform brings sales, marketing, and customer data into one model and applies machine learning, AI, and operations research to answer the revenue questions most teams can't: what will this pipeline actually produce, where is risk building before it shows up in the forecast, and what actions will change the outcome. ORM works with CROs, CMOs, CFOs, and RevOps leaders across sales forecasting, pipeline analytics, marketing attribution, territory design, and GTM planning, moving companies beyond reporting into a real system for how they make revenue decisions.
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ORM Technologies's answer:
B2B SaaS sales leaders, marketing executives, and revenue operations teams at companies between $100M and $1B ARR where forecast accuracy has board-level consequences.
ORM Technologies's answer:
Trend Micro Zix (now OpenText)
ORM Technologies's answer:
ORM is a managed prescriptive revenue analytics platform โ not just a dashboard. A dedicated team of data scientists builds custom mathematical models on your CRM data and delivers specific, prioritized actions to close the gap between forecast and target. While most tools stop at showing you what happened, ORM tells you exactly what to do next: which deals to accelerate, where to reallocate reps, and how to shift marketing budget โ with expected revenue impact for each action. Forecast accuracy runs 85โ95%, verified across their client base.
ORM Technologies's answer:
Platforms like Clari and Gong provide pipeline visibility and conversation intelligence, but neither delivers prescriptive analytics. They won't tell you "shift $400K from channel A to channel B, reassign one SDR from enterprise to mid-market, and here's the revenue impact." ORM does. It also handles messy, siloed CRM data across multiple instances without forcing a painful migration โ it normalizes everything into a single source of truth. And unlike self-serve tools, ORM acts as an extension of your team, meeting bi-weekly to interpret data, flag anomalies, and guide resource planning.
ORM Technologies's answer:
Founded in 2011 in Dallas, TX by John Ryan and Pete Furseth. John brings 30+ years as a senior executive in high-growth tech companies โ he's been CEO/President of two public companies that both achieved 100%+ annual revenue growth. He holds a Bachelor of Mathematics from the University of Waterloo, an MS in Engineering Management from SMU, and is a Chartered Accountant. ORM was built on the belief that sales and marketing leaders shouldn't just get reports โ they should get specific, math-driven actions to hit their targets.
ORM Technologies's answer:
Cloud-based platform hosted on AWS/Azure, combining machine learning, statistical forecasting, mathematical optimization, and large language models to deliver explainable, actionable, and conversational analytics. Integrates natively with CRM platforms (Salesforce, HubSpot), marketing automation systems, and ERP instances. SOC 2 Type 2 certified. Version control via Git.
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AI coding adoption at enterprise scale is hard because the real project is not installing a tool. It is redesigning trust, review, ownership, and delivery discipline around a new source of code generation. That's where platforms like Retool, ToolJet, Appian, etc. shine. - Source: dev.to / 5 months ago
You are process-heavy and regulated, and your app is basically a workflow engine: Appian. - Source: dev.to / 6 months ago
Does any of you use a low-code tool like Retool or Appian? If so, what is the most common use case? Source: over 3 years ago
Look for use case inspiration in the Solutions area of appian.com and within the AppMarket. See if you can build proof of concepts of some of these. Source: almost 4 years ago
There are low code database driven website creation systems out there at the moment e.g. OutSystems and Appian however they have very limited free trials (e.g. auto-disable after a few days of no use), and then the paid options are again too expensive. Although I will note that they seem to be great in terms of their usability and would be perfect for creating a simple interface without too much diving into code. Source: about 4 years ago
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