Get past buzzwords and upgrade your workflows around modern AI tooling. Combine multiple large language models with expert personas and specific workflows to produce better results than using a single model alone. Unlock the true potential of AI for your organisation.
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Leverage 8 different large language models to harness diverse perspectives and specific capabilities.
Choose from 4 pods which aggregate specialist personas, i.e. CEO, CFO, CTO, for domain-specific expertise.
Select from 4 workflows to orchestrate agents and solve different types of problems more effectively.
Get results in text, media, or code format depending on your specific needs.
Easily save your outputs and share them with colleagues via link or download.
Achieve better outcomes than a single LLM by using personnas and workflows.
Traditional AI tools provide a single perspective. AI Workflow Grid leverages multiple AI models and personas to deliver more comprehensive and nuanced results.
By combining different expert viewpoints, you get solutions that consider strategic, technical, creative, and practical aspects simultaneously for a holisitic analysis.
Not all problems are the same, and neither should be your approach. Our specialized workflows are designed to tackle different types of challenges.
Whether you want your AI agents to iterate and improve off each other, to split and re-join work segments, to propose a solution and highlight weaknesses, or drive to a measure of approval, we have the workflow for your needs.
Instead of manually prompting multiple AI tools and consolidating results, AI Workflow Grid automates the entire process for you.
What would take hours of back-and-forth with traditional AI tools can be accomplished in minutes, allowing you to focus on what matters most.
Iteratively improve content by passing it through a series of specialized agents, each adding their unique expertise.
Break complex tasks down into smaller chunks, solve them in parallel, and then re-combine for blended solutions.
Generate high-quality content by having one agent create output while others critique and provide feedback for improvement.
Build consensus with majority voting or have multiple agents express their preferences relative to options.
CEO, CFO & Lawyer — Leadership vision, financial strategy, and legal governance applied to every prompt.
Biz Dev, PR & Sales — Market expansion, brand narrative, and revenue execution for commercial edge.
Data Scientist, CTO & Solution Architect — Quantitative analysis, tech strategy, and systems integration.
Writer, Designer & Director — Content strategy, user experience, and creative vision for impactful output.
Flagship model for complex reasoning and coding. Smaller variants optimise for latency and cost.
Opus is the most intelligent model for agents and coding. Sonnet balances speed and intelligence.
Google's multimodal reasoning models with 1M context, native image and video understanding.
Unified MoE models combining reasoning, multimodal, and agentic coding in efficient packages.
Enterprise-focused models optimised for RAG, tool use, and multilingual deployment.
671B MoE models rivalling GPT-5 on reasoning benchmarks at a fraction of the cost.
Alibaba's hybrid-architecture models with 262K context, 201 languages, and native multimodal agents.
TII's hybrid Mamba-Transformer models excelling in Arabic AI, efficient reasoning, and edge deployment.
For detailed feature comparisons and enterprise solutions, visit our pricing page.