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SynthBoardDecision Intelligence Platform
© 2026 SynthBoard AI

Built with ❤️ for the future of AI collaboration

Multi-Agent AI

Multi-Agent AI, built for business decisions.

Multi-agent AI coordinates multiple AI advisors with different roles to analyze your decision from every angle and produce a recommendation you can actually use.

Start Free

What is multi-agent AI?

Multi-agent AI is a pattern where several AI agents — each with a different role, perspective, or expertise — coordinate to analyze a problem together and produce a richer result than any single agent could deliver alone. The pattern is inspired by how humans solve hard problems: not one expert pronouncing, but several specialists debating, challenging each other, and converging on a recommendation.

Most multi-agent AI in the public consciousness is developer-focused — frameworks like CrewAI, LangGraph, and AutoGen that let engineers assemble their own agents for custom workflows. That is one valid flavor. But multi-agent AI also works as a finished product for non-technical users: pick your advisors, describe your decision, watch the debate, receive the synthesis — then reconvene the room with your pushback.

SynthBoard is the business-focused multi-agent AI platform. No prompt engineering. No agent definition files. 24 pre-built expert advisors. 10 session modes. A real-time interface where you watch the board work, then push back and reconvene. Multi-agent AI, ready to use.

Multi-agent AI, productized

24 pre-built agents

No agent authoring required. Every advisor comes with a distinct role, remit, and argumentative style tuned for strategic decisions.

Multi-model routing

Different advisors draw on different frontier models (OpenAI GPT-5, Anthropic Claude, Google Gemini, xAI Grok) for genuine cognitive diversity, with Perplexity Sonar grounding research in the live web.

10 session modes

Each mode shapes how the agents interact — from structured boardroom debate to adversarial red teaming.

Consensus synthesis

Every session ends with a quantified consensus score, preserved dissents, and a clear recommendation with next steps.

Real-time streaming

Watch agents argue and respond to each other live — then reconvene the room with your pushback for another round, or press one expert 1:1 in a consult.

Business-grade security

SOC 2-aligned practices, enterprise-grade encryption, per-account isolation. No data leakage between sessions.

Multi-agent AI, without the engineering lift.

Convene 24 pre-built expert advisors and put your call to the room — in under a minute.

Start Free See the platform

Frequently Asked Questions

What is multi-agent AI?
Multi-agent AI is a pattern where several AI agents — each with a different role, perspective, or expertise — coordinate to analyze a problem together. Instead of one AI producing one answer, multiple agents produce different analyses that are synthesized into a richer, more robust result.
How is multi-agent AI different from a single AI chat?
A single AI chat gives you one voice filtered through one model’s biases. Multi-agent AI gives you several voices with different incentives, surfacing disagreement that a single model would smooth over. For decisions, that disagreement is the point.
Is multi-agent AI only for developers?
No. Developer frameworks like CrewAI and AutoGen require coding and prompt engineering. Products like SynthBoard deliver the same underlying pattern as a ready-to-use experience — pick your advisors, describe your decision, and the platform handles the rest.
What business decisions benefit most from multi-agent AI?
Strategic pivots, fundraising timing, executive hiring, pricing strategy, M&A evaluation, and product prioritization — anywhere a single confident perspective would be risky and multiple viewpoints would surface critical risks.
Do the agents really think independently?
Yes. Each advisor runs independently with its own role, expertise, and sometimes its own underlying model. When a CFO advisor contradicts a growth advisor, the disagreement is genuine — not scripted. That is why the output is more useful than a single model’s reply.
How is multi-agent AI different from multi-LLM AI?
They overlap. Multi-LLM refers to using models from multiple providers (OpenAI, Anthropic, Google, xAI). Multi-agent is the broader pattern — multiple distinct agents coordinating, regardless of model. Strong multi-agent platforms use both: different agents with different roles, powered by different models.
Is it secure for business use?
SynthBoard uses enterprise-grade encryption, per-account data isolation, SOC 2-aligned practices, and private sessions by default. Enterprise plans add SSO and team controls.
How is multi-agent AI priced?
SynthBoard is free to start with 250 credits to start plus 150 credits monthly. Most multi-agent sessions cost a few cents to a few dollars depending on depth and model selection.

Keep exploring

AI advisory board

The business-facing category page.

Explore

AI council

Deliberative framing of the same pattern.

Explore

AI expert panel

Specialist-panel framing.

Explore

Decision intelligence

The broader category.

Explore

SynthBoard vs CrewAI

Product vs. developer framework.

Explore

AI Boardroom

The manifesto behind SynthBoard.

Explore