Today, Stockholm-based Opper AI announced the launch of its Task Completion API, backed by an oversubscribed €2.5 million pre-Seed round to help developers move 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 tasks comes down to how reliably they interact with models,” said Göran Sandahl, Co-founder and CEO. “Opper removes the guesswork from prompt engineering and gives developers a tool that just gets the job done.”
Founded in 2023 by the team behind Unomaly (acquired in 2020), Opper AI builds infrastructure that looks to help developers turn large language models into dependable 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: task contracts. Instead of writing and tweaking prompts manually, developers define tasks in JSON; specifying inputs, expected outputs, and success criteria. The Opper API takes over from there, using smart prompt generation, built-in feedback loops, and model interoperability to deliver accurate and repeatable results.
Key capabilities include:
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Write tasks, not prompts: Developers define tasks 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 endpoint, 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 spend.
Early adopters include companies like GetTested.io, which used Opper to streamline their AI pipeline for automated blood test reports:
“We traded a patchwork of home-grown prompts and frameworks for Opper,” said Adam, AI Engineer at GetTested. “It clearly works – and we’re now rolling out our pipelines across 62 countries including the US and India.”