Agents, MCP and AI tooling for real businesses

Build with AI that does the work

Branja.ai builds AI solutions across social media, creative production, autonomous agents and the integrations that connect them to your stack.

6+

AI solution lines

MCP

native connectors

24/7

agents on schedule

Solutions

One platform, many ways to put AI to work

Social Intelligence

Understand every conversation, publish with confidence.

AI that reads your audience, drafts on-brand posts, schedules across channels and explains what is actually working.

  • Brand-voice drafting
  • Cross-channel scheduling
  • Sentiment & trend signals
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Creative Studio

From brief to campaign assets in minutes.

Generate, iterate and version images, video and copy inside one workspace that keeps your brand consistent.

  • Multimodal generation
  • Brand kits & templates
  • Review & approval flows
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Agent Platform

Build autonomous workers that do real work.

Compose agents with tools, memory and guardrails, then run them on schedules, events or on demand with full traces.

  • Tool-using agents
  • Memory & retrieval
  • Observability & evals
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MCP Connectors

Plug any model into any system, safely.

A catalogue of Model Context Protocol servers and custom connectors so your agents can read and act on the tools you already use.

  • Hosted MCP servers
  • Custom connector SDK
  • Scoped permissions
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Integration Hub

Your stack, wired together.

Two-way sync between CRMs, ad platforms, storage, messaging and internal APIs, with AI handling the mapping and the exceptions.

  • Prebuilt connectors
  • AI-assisted mapping
  • Webhooks & queues
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Innovation Lab

Prototype the next idea in days, not quarters.

A sandbox for experimental products: rapid prototypes, model evaluations and co-built pilots with partners.

  • Rapid prototyping
  • Model benchmarking
  • Pilot programmes
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Agents & MCP

Agents that can actually reach your tools

Every Branja.ai agent speaks the Model Context Protocol. Give it scoped access to your CRM, storage, ads and messaging, watch every step in a trace, and keep a human in the loop where it matters.

See how agents work →
agent = Branja::Agent.new(
  name: "weekly-report",
  model: "claude-sonnet-5-5",
  tools: Branja::MCP.connect(:hubspot, :google_drive),
  guardrails: [:human_approval_on_send]
)

agent.run(schedule: "every monday 09:00")

Have an idea worth building with AI?

Tell us what you are building. We will reply with a concrete plan, not a sales deck.

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