CNTR offers a collaborative AI platform that lets experts work alongside large language models in real time, editing, annotating, and approving AI outputs to ensure relevance and accuracy. The system captures structured human feedback to continuously fine‑tune models and provides APIs, SDKs, and compliance tools for seamless integration into enterprise workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations increasingly rely on large language models for data analysis and decision support, but these models operate without contextual human expertise, leading to outputs that can be irrelevant, biased, or unsafe for complex business problems.
Solution
CNTR provides a collaborative AI platform that tightly couples human expertise with advanced language models, enabling users to guide, correct, and augment AI reasoning in real time. The system presents model suggestions within an interactive interface where experts can edit, annotate, or approve outputs, creating a feedback loop that continuously refines model performance. By capturing human inputs as structured signals, CNTR’s platform improves the relevance, accuracy, and trustworthiness of AI‑generated insights across diverse workflows. The resulting joint intelligence is delivered through APIs and UI components that integrate with existing enterprise tools, allowing teams to embed collaborative AI directly into their decision‑making processes.
Target Audience
Primary customers are enterprises and professional teams—such as consulting firms, financial analysts, and R&D groups—that require high‑precision AI assistance while maintaining human oversight.
Features
- Real‑time co‑authoring interface where users can edit, annotate, and approve LLM outputs
- Structured feedback capture that feeds back into model fine‑tuning and prompt optimization
- API and SDK integrations for embedding collaborative AI into enterprise applications and workflows
- Role‑based access controls and audit trails to ensure compliance and traceability of human‑AI interactions
- Support for multiple LLM providers, enabling flexible model selection and switching
- Analytics dashboard that visualizes collaboration metrics, model confidence, and improvement over time