Sovereign AI that turns every answer into lasting expertise.
Optivalue.ai helps large organizations build resilience in an increasingly complex environment: regulations piling up, audits tightening, senior expertise walking out the door.
Our approach:
• 89 Domain-Specific Language Models (DSLMs) — specialized by industry & function, not a generic LLM
• Confidence score 0-100 on every answer
• Ability to say "I don't know" rather than hallucinate
• Strict sourcing: document + page + timestamp
Our three pillars of trust:
→ Precision & epistemic lucidity (right answer, or no answer)
→ Traceability (every claim is defensible)
→ Confidentiality (your data never leaves — on-premise or sovereign cloud)
At every interaction, your knowledge base grows. Expertise compounds. Your organization becomes more resilient.
Trusted by: L'Oréal, Stellantis, Thales Alenia Space, Exaion (EDF Group), Equans, Mango
Award: European Digital Sovereignty Prize 2026 (AI Category)
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SciSure helps scientific organizations replace fragmented, disconnected systems with a single governed platform for managing lab operations, so teams spend less time reconciling data across tools and more time on research. By combining Electronic Lab Notebook (ELN), Laboratory Information Management System (LIMS), and Health & Safety (EHS) capabilities in one system, SciSure improves reproducibility, strengthens visibility into day-to-day lab activity, and helps organizations reduce risk as they scale. Researchers document experiments, protocols, and results in a structured, searchable digital format with customizable templates and version control, replacing paper notebooks and scattered files. Samples are tracked from intake through processing, storage, and disposal, maintaining full lineage and chain-of-custody records alongside chemical and general lab inventory management and workflow automation. Health & Safety functionality is built into the same platform, covering chemical inventory alongside Safety Data Sheets (SDS), regulatory compliance workflows, and audit readiness, so labs don't need a separate system to stay compliant and audit-ready.
Labs can also extend the platform through an optional marketplace of add-ons, so they can bring in additional capability, like AI-powered support, automated data analysis, protocol generation, toxicity prediction, and image analysis, only where it adds value, without disrupting the rest of their workflow or committing to features they don't need. SciSure also connects directly to lab instruments, external databases, and third-party tools, so data moves between systems without manual re-entry.
SciSure supports both cloud and dedicated hosting, giving organizations control over the deployment model that fits their infrastructure, security, and compliance requirements. It's built to serve academic institutions, biopharma and biotech companies, and start-ups alike, with role-based support for scientists, lab operations staff, safety and compliance teams, leadership, and IT professionals, so the platform works the way each type of user actually needs it to.
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Sci-Bot
Sci-Bot is an AI-powered research assistant built on top of Sci-Hub, designed to answer user questions by directly searching and analyzing scientific literature instead of generating responses from general training data. It works by scanning a vast database of full-text academic papers and extracting relevant findings to produce answers grounded in published research, often including references and links to the original studies. It presents itself as a simple interface where users can ask questions in multiple languages, and the system automatically searches for relevant keywords, retrieves academic articles, and synthesizes information into a structured response. It follows a step-by-step process similar to a human researcher, showing intermediate searches and sources before delivering a final answer. A key focus is on reducing hallucinations by relying on existing scientific papers rather than purely generative outputs, and it can provide direct access to full-text documents.
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