Sloop
Sloop provides a context builder that injects hypertokens into AI prompts to boost recall and reasoning in any large language model. The platform acts as a GPS for AI, defining landmarks that build a precise context map to steer responses toward accurate, domain-specific results. It works with any prompt, model, or content type, and can be applied alongside fine-tuning, embeddings, and inference workflows.
- Artificial Intelligence
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Teams using large language models often receive generic, imprecise answers because prompts lack sufficient contextual grounding. Standard prompting techniques fail to steer models consistently across specialized domains, leading to unreliable outputs and time wasted on manual correction and validation.
Solution
Sloop provides a context builder that injects hypertokens into AI prompts to boost recall and reasoning in any AI model. Hypertokens define landmarks that build a precise context map within the prompt, acting as a GPS for AI to steer responses toward accurate, domain-specific results. The platform works with any prompt, model, or content type, and can be applied alongside fine-tuning, embeddings, and inference workflows. Teams get exact, explainable AI responses with spreadsheet-like simplicity across every prompt, enabling consistent output quality without replacing existing model infrastructure.
Target Audience
Primary customers are teams in knowledge-intensive industries such as legal and financial due diligence, precision medicine research, and construction or engineering firms that need accurate, explainable AI outputs from large document sets.
Features
- Hypertoken injection system that embeds contextual landmarks directly into prompts for improved model recall and reasoning
- Model-agnostic design supporting any LLM, prompt format, or content type without requiring fine-tuning or model replacement
- Precise context mapping that delivers explainable AI outputs, allowing users to trace the reasoning behind each response
- Breeze-through-docs workflow for rapidly processing large document sets in due diligence, precision medicine, and construction blueprint review
- Spreadsheet-level simplicity for configuring and managing context tokens across team workflows
- Compatibility with fine-tuning, embedding, and inference pipelines to augment existing AI infrastructure