Ortem AI Research Team
Technology Division, Ortem Technologies
The Ortem AI Research Team is a cross-functional group of ML engineers, data scientists, and software architects embedded across our product, platform, and client delivery divisions. The team researches and evaluates emerging technologies — including large language models, agentic AI systems, computer vision, and MLOps infrastructure — translating complex concepts into actionable guidance for engineering leaders and enterprise decision-makers. Each article published under this byline is the result of collaborative investigation: real-world experimentation, architecture reviews, and performance benchmarking drawn from live client projects and internal R&D initiatives. The team is committed to publishing technically rigorous, vendor-neutral content that helps organisations cut through AI hype and make confident, ROI-driven technology decisions.
Articles by Ortem
What 212 Engineers Actually Spend on AI Tooling Each Month
An anonymised AI tooling cost model across 212 engineers, broken down by role and by tool — seat licences, token usage, and where the variable cost actually concentrates.
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Voice Agent Latency and Cost: What Four AI Voice Stacks Delivered
Four production-shaped voice stacks against one fixed call script: p50 and p95 time to first audio, blended cost per minute, and the architecture trade-off behind each result.
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AI Coding Agents on a Legacy Java Monolith: What Actually Worked
Three coding agents against the same legacy Java monolith and the same 15-task backlog. How much each completed unaided, what passed review first time, and exactly where each one broke.
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IoT App Development in 2026: Architecture, Protocols, and Real-World Use Cases
The Internet of Things is no longer a pilot project. In 2026, 17 billion connected devices generate data that powers smart factories, precision agriculture, and connected healthcare. Here is how to build for it.
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