Pocr provides a platform for orchestrating multiple AI agents across various large‑language‑model providers using predefined workflow patterns and expert lenses. Users select a workflow and lens, then the system runs specialist personas in parallel or sequentially and returns structured results—ranked lists, reasons, comparisons, or checkboxes—ready for decision‑making without manual configuration.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations often need to extract nuanced insights from large language models but must manually coordinate multiple models, manage prompt engineering, and synthesize disparate outputs, which is time‑consuming and error‑prone. This limits the ability to quickly generate structured, decision‑ready analyses across strategic, creative, or technical domains.
Solution
Pocr offers a cloud‑based orchestration platform that automatically routes prompts through a selectable workflow pattern and applies one of three expert lenses. For each request, three specialist personas are activated simultaneously across up to six LLM providers, eliminating the need for manual model selection or prompt tuning. The platform’s Cohere meta‑agent aggregates the individual model responses and transforms them into predefined structured formats such as rankings, reasoned explanations, comparisons, or checkbox selections. Users receive ready‑to‑use, board‑level results in a single step, accelerating analysis and decision‑making without deep AI expertise.
Target Audience
Primary users are product teams, analysts, and decision‑makers in enterprises who require rapid, multi‑model insights for strategic planning, market analysis, or content creation, as well as developers building AI‑augmented applications that need structured outputs without custom orchestration.
Features
- Four orchestration patterns (Sequential Refinement, Creator & Critic, Divide & Conquer, Majority Vote) to match different problem‑solving strategies
- Three expert lenses (Strategic, Leadership, Legal) that instantiate three specialist personas per model call
- Integration with six major LLM providers (OpenAI GPT, Anthropic Claude, Google Gemini, Mistral, DeepSeek, Cohere) for diverse model capabilities
- Cohere meta‑agent that consolidates outputs into structured formats: Rank, Reasons, Compare, and Checkbox
- Parallel and sequential execution modes to enable consensus building or iterative refinement without manual coordination
- API‑driven workflow that delivers results in a single response, ready for downstream reporting or dashboarding