Connecting the brain and the body.
The memory layer is the missing link between operational systems and agents, so our mission is to give AI the spinal cord that connects the AI brain and the body of operational systems, to understand and execute every complex operation.
A new era of resilient, self-healing organizations that anticipate disruptions.
Sovereign AI for Enterprises and Governments.
We believe data is a critical asset that needs ownership and deep control. We partner with experts in life sciences and the public sector to co-create the data spinal cord they need to independently leverage the power of AI based on open technologies.
The origin of our lab.
In 2024, Scinr's founders recognized a wide digitalization gap between industries with high adoption of data science technologies, like finance, compared to life sciences. They set out to close that gap by combining vertical domain knowledge with frontier data and AI technology.
Scinr's key dates.
August 5, 2025
Federated AI Memory
Piloted the first enterprise memory concept to a multinational pharmaceutical company, connecting SAP, IQVIA, and RIMS data into a single view of their products, and orchestrating master data across multiple systems.
February 15, 2026
Startup Incubation
Completed an EU-backed program where we refined our innovation approach with top mentors and advisors from the Spanish startup ecosystem. We were proudly awarded with the Spanish INCIBE Emprende seal.
February 20, 2026
Newton Platform Launch
Released the first production-ready AI memory platform for structured data linking.
March 5, 2026
Document Understanding
Launched our first ingestion engine for unstructured data and regulatory document understanding based on vertical domain patterns.
April 15, 2026
Regulatory Automation
Implemented in production our first regulatory agentic workflow for pharmaceutical regulatory affairs.
July 1, 2026
Newton Core OSS
Released the open source library to understand and ingest structured and unstructured data.
The minds behind the memory.
We partner with
