Multi-Agent AI Orchestration
Stop depending on a single model. POCR.AI routes your prompts through coordinated ensembles of the world's leading LLMs — applying expert lenses and structured workflow patterns to produce results no single model can match.
Choose from six leading LLM providers — OpenAI, Anthropic, Google, Mistral, DeepSeek, and Cohere as the meta-agent. Mix flagship models with cost-efficient alternatives across workflow stages.
Pick one of four orchestration patterns and one of three expert lenses. The lens activates three specialist personas simultaneously on every agent call — no configuration required.
A Cohere meta-agent analyses all model outputs and delivers structured formats — Rank, Reasons, Compare, and Checkbox — so your results are board-ready from the first run.
Chain agents so each pass sharpens the prior output — like a skilled editing team working in relay. Intentionally sequential; each agent builds on what came before.
One model proposes; another interrogates. Surface weaknesses and strengthen reasoning before a decision is committed. Sequential by design, not by accident.
Decompose complex problems, solve sub-tasks in parallel across specialised agents, then synthesise into a unified answer. True parallelism via concurrent execution.
Parallel agents respond independently. Build genuine consensus, surface dissent, and express the full range of views on any question — no averaging, real divergence.
Leadership vision, financial strategy, and legal governance applied to every prompt — simultaneously, every agent call.
Market expansion, brand narrative, and revenue execution — three commercial perspectives firing together on every run.
Quantitative analysis, technology strategy, and systems integration — the full technical stack in one lens.
Always generated. Weighted scoring across defined criteria — defensible, documented rationale for any decision.
Always generated. Colour-coded factor grids that surface the key reasoning behind each agent's position.
Generated when 2+ models respond. Side-by-side analysis that makes agreement and divergence immediately visible.
Generated when 2+ models respond. Consensus-driven checklists that aggregate multi-agent outputs into actionable items.
No card required
Get hands-on with multi-model orchestration. Full feature access, 7 free queries in total. 100MB storage.
Start Free1 Person
Up to 6 LLMs, 4 workflows, 3 persona lenses, 4 structured outputs. Library for queries and projects. Ideal for knowledge workers, executives, researchers.
Under 10 People
Up to 10 ppl; project folders, RAG across your corpus. Includes 10 hours set up consulting and training for your people.
10 – 100 People
Up to 100 ppl; project folders, RAG across your corpus. Includes 10 hrs free consulting a qtr to optimise performance.
Provisioned hardware or local cloud, technical advisory, dedicated support, and custom workflow and lens configuration on contract terms.