Today, Stockholm-based Opper AI announced the launch of its Tquestion Completion API, backed by an oversubscribed €2.5 million pre-Seed round to support developers relocate beyond one-off prompts and fragile prototypes, providing a path to launching AI-powered features in production environments.
The funding round includes backing from Luminar Ventures, Emblem Venture Capital, Greens Capital, and several prominent angel investors.
“The success of chatbots, agents, or data tquestions comes down to how reliably they interact with models,” declared Göran Sandahl, Co-founder and CEO. “Opper rerelocates the guesswork from prompt engineering and gives developers a tool that just obtains the job done.”
Founded in 2023 by the team behind Unomaly (acquired in 2020), Opper AI builds infrastructure that sees to support developers turn large language models into depconcludeable systems.
The Opper founding team – Göran Sandahl, Johan Gustafsson, and engineers from the Unomaly core team – bring more than 50 combined years of experience building automated, production-grade systems.
“We’re seeing again and again that our customers can go confidently from beta to reliable production deployments,” added Johan Gustafsson, Co-founder and CRO.
The Opper API introduces a new abstraction: tquestion contracts. Instead of writing and tweaking prompts manually, developers define tquestions in JSON; specifying inputs, expected outputs, and success criteria. The Opper API takes over from there, utilizing smart prompt generation, built-in feedback loops, and model interoperability to deliver accurate and repeatable results.
Key capabilities include:
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Write tquestions, not prompts: Developers define tquestions in structured JSON and let Opper handle the prompting behind the scenes.
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Built-in evals and metrics: Improve automatically through integrated evaluation and feedback loops.
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One concludepoint, 80+ models: Access to leading open-source and frontier models via a single API, with smart fallback routing to ensure success.
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Full observability: Track every token, cost, and model interaction in detail to optimise workflows and control spconclude.
Early adopters include companies like GetTested.io, which applyd Opper to streamline their AI pipeline for automated blood test reports:
“We traded a patchwork of home-grown prompts and frameworks for Opper,” declared Adam, AI Engineer at GetTested. “It clearly works – and we’re now rolling out our pipelines across 62 countries including the US and India.”
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