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UnaGo - AI Operations PlatformUnaGo
Core capabilities

The engines behind the UnaGo platform. Ready for teams.

AI chat, MCP tools, workflows, security, APIs, billing, storage, and operational execution work together in one product.

Platform foundations

Built for real operational work

Specialist AI agents

Purpose-built agents for marketing, media production, research, sales, and operations. Each agent has deep domain knowledge and access to relevant tools — not a generic chatbot trying to do everything.

Domain expertisePurpose-builtDeep knowledge

1,000+ MCP tools

Connect to Google Workspace, HubSpot, Slack, LinkedIn, ad platforms, scraping tools, AI generators, file systems, and more. Model Context Protocol means one standard interface for every integration.

MCP standard500+ integrationsUniversal connectivity

Workflow automation

Reusable processes with branching logic, parallel execution, conditional steps, and approval gates. Define a workflow once and run it across campaigns, projects, and teams.

Branching logicParallel stepsReusable templates

Intelligence layer

Context, memory, and learning

Semantic storage

Files, deliverables, and notes are stored with semantic meaning. Agents search by concept, find related work, and reference past projects — not just filenames and folders.

Concept searchSmart retrievalKnowledge graph

Persistent memory

UnaGo remembers your brand guidelines, past decisions, project context, and preferences across sessions. No re-explaining. Agents pick up where they left off.

Cross-sessionBrand recallProject continuity

Self-learning loops

When you correct output or approve deliverables, UnaGo learns. Future work reflects your tone, standards, and preferences — improving with every interaction.

Feedback-drivenAdaptiveContinuous improvement

Execution engine

From brief to delivery

Natural language command

Describe your goal in plain English. 'Launch a Q2 campaign for our new product' or 'Produce a product demo video'. UnaGo plans the work and executes across agents and tools.

Plain EnglishGoal-orientedZero configuration

Browser streaming

Watch agents work in real time. See research happening, drafts being written, images being generated. Full transparency into every step of execution.

Real-time visibilityLive progressFull transparency

Approval gates

Set checkpoints where work pauses for your review. Approve strategy before content. Review drafts before publishing. Stay in control without slowing everything down.

Human oversightQuality controlConfigurable gates

Enterprise ready

Security, APIs, and controls

Enterprise security

SOC 2-aligned controls, encrypted storage, role-based access, audit logs, and data residency options. Your data stays yours.

EncryptedRole-based accessAudit logs

Developer APIs

REST and webhook APIs for integrating UnaGo into your existing systems. Trigger workflows from your CRM, push results to your data warehouse, embed AI execution anywhere.

REST APIWebhooksEmbeddable

Credit-based billing

Pay for what you use. Credits cover agent calls, model usage, media generation, and tool connections. Transparent pricing with no surprise invoices.

Usage-basedTransparentNo surprises

FAQ

Questions about capabilities

What AI models does UnaGo use?

UnaGo uses multiple frontier models including GPT-4, Claude, and specialised models for different tasks. The orchestration layer selects the optimal model based on task requirements, cost, and quality needs.

Can I bring my own tools and APIs?

Yes. UnaGo supports custom MCP servers, so you can connect proprietary tools, internal APIs, and bespoke systems alongside the 1,000+ built-in integrations.

How does UnaGo handle sensitive data?

All data is encrypted at rest and in transit. You control access permissions, and UnaGo never trains on your data. Enterprise plans include data residency options and enhanced security controls.

What's the difference between agents and workflows?

Agents are specialist AI workers that handle specific tasks. Workflows are reusable processes that coordinate multiple agents and steps. Use agents for one-off work, workflows for repeatable operations.