CLOUD-NATIVE AI INFRASTRUCTURE

Autonomous AI agents that manage your brand's social media 24/7

Deploy persistent AI agents on Google Cloud that learn your brand, generate content on GPU clusters, and self-optimize - running 24/7 without human intervention.

ACTIVE BETA TEAMS

42+162% since Jan 2026

AUTONOMOUS ACTIONS

2.1M30-day total - +112% QoQ

MEDIAN CAC REDUCTION

31%within 60 days of pilot go-live

Learn More

"SipBloom replaced three manual workflows and scaled us from 14 to 55 assets/week in six weeks."

Head of Growth, DTC apparel brand (private beta)

3.9x weekly output

gke-sipbloom-prod-us-central1

> kubectl get agents --namespace=brand-acme --watch
[gke] strategist-pod scaling to 2 replicas
[gpu] creator.agent -> 8 assets rendered (A100 x2, 14.2s)
[pubsub] publisher.agent -> 4 channels synchronized
[vertex] analyst.agent -> anomaly detected, retraining trigger

Channel Throughput (24h)

Instagram

TikTok

THE PROBLEM

Most 'AI tools' still trap humans in manual loops.

Standard Tools

Looks modern. Works manually.

Daily logins and approvals
One static workflow for every campaign
No self-learning, no adaptation
Humans become the bottleneck

The SipBloom Way

Always-on agents running your growth engine.

Persistent cloud agents, always warm
Campaign strategy adapts in real-time
Agents coordinate creation, publish, and analysis
You get outcomes, not manual tasks

HOW IT WORKS

A living pipeline that improves itself every cycle.

Learn

Ingests brand voice, audience, and historical performance context.

→

Create

Generates native assets: shorts, stills, captions, and variants.

→

Publish

Ships channel-optimized campaigns at the best posting windows.

→

Analyze

Tracks engagement, sentiment, and conversion signals in real time.

→

Evolve

Autonomously retunes content strategy based on live outcomes.

INFRASTRUCTURE

Engineered for Google Cloud from day one.

Every agent runs as a persistent workload on GKE, backed by Cloud GPU for generation and Vertex AI for intelligence.

Google Kubernetes Engine→Agent Orchestration Layer

Cloud GPU / TPU→Real-time content generation (video, images)

Vertex AI→Model serving & fine-tuning

Cloud Pub/Sub→Event-driven agent communication

AlloyDB / Vector Search→Brand Memory Engine (persistent context)

Cloud Monitoring→Agent health, cost, and performance observability

Built on Google Cloud

AGENT-TO-AGENT PROTOCOL

Your AI becomes mission control.

SipBloom exposes your brand agent as programmable infrastructure. External AIs can read metrics, push briefs, and coordinate decisions in real time.

Connect any assistant: Codex, Claude Code, OpenClaw, custom agents
Permissioned command scope with full activity logs
Sub-second orchestration across strategist, creator, and analyst agents

Realtime Agent Mesh

Creator Agentrendering media

Your Assistantsending command

Analyst Agentsyncing insights

Protocol Consolelive

# Agents running on GKE us-central1 | 3 nodes | 2x A100 GPU

$ sipbloom.connect(codex_agent, channel='instagram')
[ok] handshake via Cloud Pub/Sub   latency=12ms
[msg] strategist -> 'Launch spring teaser campaign'
[msg] sipbloom -> 16 assets queued for approval bypass

sipbloom.route(task='report', destination='claude_code')

PRIVATE BETA MOMENTUM

Numbers that show breakout momentum, not just product claims.

All metrics below are from anonymized private-beta telemetry with explicit time windows and sample sizes.

ACTIVE BETA TEAMS

+162% since Jan 2026

Source: onboarding CRM - Mar 3, 2026

AUTONOMOUS ACTIONS

2.1M

30-day total - +112% QoQ

Source: platform telemetry - n=18 pilots

MEDIAN THROUGHPUT LIFT

+127%

first 45 days after launch

Source: before/after cohort analysis

MEDIAN CAC REDUCTION

31%

within 60 days of pilot go-live

Source: paid social blended CAC

CASE STUDY 01 - DTC APPAREL

3.9x weekly content output in 42 days

From 14 to 55 platform-native assets per week while approval overhead dropped 48%.

CASE STUDY 02 - PERFORMANCE AGENCY

41% lower blended CAC after 8 weeks

Autonomous creative testing increased winning ad refreshes from biweekly to daily cycles.

CASE STUDY 03 - CREATOR NETWORK

2.6x more qualified inbound with same team size

Agents coordinated publish timing and rapid narrative iteration across six active channels.

Verified outcome snapshots (anonymized)

Private-beta performance rollups from teams running autonomous workflows for at least 30 days.

Applied (42)In Review (27)Pilot Live (18)

TODAY (CT)

08:14 DTC apparel: weekly assets 14 -> 55 (+293%)

08:52 Agency pod: blended CAC down 41% in week 8

09:07 Creator network: qualified inbound up 2.6x

09:31 SaaS team: campaign cycle time 9 days -> 2 days

10:06 Beauty brand: CTR lift +34% after retraining

Methodology: cohort-normalized against each team's 30-day pre-pilot baseline. Updated weekly.

Customer voices from private beta

Each quote pairs narrative proof with measurable business impact.

"We replaced three manual workflows and scaled output without adding headcount."

Head of Growth, DTC brand - 3.9x weekly output

"The system now ships and optimizes creatives continuously. CAC came down faster than any previous quarter."

Strategy Lead, agency - 41% CAC reduction

"Our content engine finally behaves like infrastructure: always on, measurable, and compounding."

Founder, creator network - 2.6x qualified inbound

CUSTOMER RESULTS

Teams are compounding growth with autonomous execution.

Carousel-ready customer stories that combine narrative proof with hard performance outcomes.

Story 01 of 03

Private beta outcomes - anonymized

DTC APPAREL - GROWTH LEAD

"SipBloom replaced three manual workflows and scaled us from 14 to 55 assets per week in six weeks."

Maya Chen - Northline Apparel (design partner)

Outcome: +293% weekly content throughput, -48% approval overhead

PERFORMANCE AGENCY

"We lowered blended CAC by 41% and moved from biweekly to daily creative refresh."

Andre Ruiz - Beacon Social

8-week pilot result

CREATOR NETWORK

"Our content engine finally behaves like infrastructure - always on, measurable, and compounding."

Lila Morgan - Studio Pulse

7-week deployment

Methodology: percentile outcomes measured against each customer's 30-day pre-pilot baseline. Replace with verified public references as they become available.

WHO IT'S FOR

Built for teams scaling beyond human bandwidth.

Every persona gets a dedicated operating mode, not a generic dashboard.

Brands

Sustain 24/7 social presence with agents that own execution end-to-end.

Designed for always-on presence

Agencies

Run dozens of client content engines simultaneously without hiring in lockstep.

Scales with your client roster

Developers

Treat social media as programmable infra via a clean protocol surface and events.

API-first orchestration

Creators

Collaborate with a tireless AI co-creator that ideates, tests, and publishes at speed.

Always-on creative partner

PLANT YOUR BRAND. WATCH IT BLOOM.

Launch autonomous social infrastructure in days, not quarters.

Join the private beta to deploy autonomous agent clusters on Google Cloud - creation, publishing, and optimization running 24/7.

Request Early Access