Riverio
Autonomous creative infrastructure
for performance marketing.
Founders
Yuli Alvo
Co Founder & CEO
LinkedIn Profile

8+ years of hands-on experience in User Acquisition & Performance Marketing across gaming, apps, and eCommerce.
  • Led multi-channel paid acquisition across Meta, Google, TikTok, affiliate, and in-app channels.
  • Scaled campaigns through creative performance and data-driven growth.
  • Selected to Meta’s Growth Masters Club Israel — an invite-only group of top performance marketers.
  • Led the launch of Humanz+ across product, growth, and operations.
Eliad Shahar
Co Founder & CTO
LinkedIn Profile

10+ years of software development experience across robotics, AI, and machine learning.
  • Started in robotics and AI/ML algorithm development at Carteav before transitioning into AI engineering at Guardio.
  • Built autonomous agents and automation systems for GTM and marketing workflows.
  • Deep expertise in AI agents, workflow automation, and scalable AI infrastructure.
  • Open-source contributor with automation-focused repositories generating 50K+ GitHub stars.
THE PROBLEM
Why Creative Production Is Broken
Performance marketing has fundamentally changed the volume and speed required from creative teams. But today's creative workflows, teams, and AI tools weren't built to operate at that scale.
Endless Creative Demand
D2C brands need constant creative output to fight ad fatigue.
No Feedback Loop
Creative decisions are still disconnected from performance data.
AI Workflows Are Still Manual
Existing AI tools require fragmented, manual operations.
the solution
Riverio is redefining performance creative
Riverio turns creative production into an autonomous, performance-driven system built for the scale of modern advertising.
Autonomous Creative Generation
Riverio continuously generates brand-aligned creative at scale to fight creative fatigue across paid channels.
Performance Feedback Loop
Creative production is directly connected to performance data, enabling continuous testing, learning, and optimization.
Unified AI Infrastructure
Riverio orchestrates AI models, agents, APIs, and automated workflows into one unified system customized for each brand.
VISION
The future of marketing
is autonomous creative systems for every brand.
THE MOMENT
Why now?
The breakthrough isn’t one tool, it’s convergence.
AI video, agents, workflow orchestration, and ad-platform data became production-ready at the same time this year.
01
Performance Data Infrastructure
Per-asset creative performance data became accessible.
The feedback loop is finally programmable.
02
Production-Ready Video Generation
AI video reached production quality and scalable output.
Creative volume no longer requires a studio.
03
Operational AI Agents
Agents became reliable enough to run end-to-end workflows.
Brief-to-publish can now operate autonomously.
04
Creative Demand Explosion
Ad algorithms now require more creative variation than humans can produce manually.
Creative infrastructure becomes mandatory.
THE MOAT
Better models compound Riverio's value.
Per-Brand Data Layer
Riverio is trained on voice + live performance. This can't be bought or scraped.
Service
Service is the embedment layer. By month 6, switching off Riverio would require rebuilding the agency and the workflow around it.
Adoption Speed
New models ship to customers within days.
The infrastructure compounds with innovation.
We believe model-agnostic, "AI-powered", and generic data are NOT moat.
THE MODEL
Managed Software Model
Replacing Riverio means rebuilding the brand’s entire creative learning system from scratch.
Software Compounds Over Time
Performance data, creative learnings, workflows, agents, model tuning.

Service Accelerates Adoption
Brand onboarding, workflow optimization, performance reviews, iteration loops.
THE LOOP
One loop. Five steps. Four live.
Today, four are live in production: Brief, Generate, Ship, Measure.
In 90 days, Learn closes the loop — performance data regenerates the next batch.
Today's loop, dated honestly. The fifth step — Learn — ships in 90 days and closes the autonomous feedback cycle.
MARKET SIZING
Creative Infrastructure Is Becoming a Core Layer of Performance Marketing
$1.6B
Addressable Today.
40,000+ D2C brands at $24-60k ARR, then expanding to 8,000+ mid-market brands at $120-300k ARR.
$24B
Platform Maturity.
Per-brand creative infrastructure across performance SaaS.
THE MARKET
D2C brands spending $50k-$2M/mo on paid social, where creative production is the growth bottleneck.

Performance marketing teams where creative production becomes the growth bottleneck.
Missed Deadlines
D2C brands fighting ad fatigue at scale via missed deadlines or ROAS tanking.
Paid-Social-First Companies
Companies whose growth engine runs on paid social channels.
Performance Marketing Teams
Teams where creative production becomes the growth bottleneck.
Early Traction
What we've learned since launch the past few months.
0→5
Client growth in 30 days
$7K MRR
Founding cohort pricing
Cycles
Weeks → Hours
Old: produce → publish → stop
Riverio: produce → publish → measure → iterate.
15% ↓ CPA
In 16 days
Performance compounds
For the RIGHT clients.
Business Model
Audit → Batch → Retainer.
Replace the agency line item, or the pain of the bottleneck to growth.
Step 1 — Audit ($0-$999)
$0–$999: We deliver brand-specific creative + a performance assessment in days. Show the gap, deliver immediate value.
Step 2 — First Batch
$3K–$7K: Ship live creative to paid channels in days. Validate the fit before the retainer.
Retainer
$2K–$5K/mo: Per-brand model + ongoing creative + workflow tuning + performance review.
Leaves room to deepen delivery & stickiness every month.
Competitive Landscape
Two axes that matter:
  1. Closed-loop vs. one-shot
  1. Brand-trained vs. generic
Riverio focus is end-to-end infrastructure that compounds with the performance data from a sustained customer relationship.
THE ASK
$2M Seed Round
Target close — August 2026
Use of funds:
  • Engineering & AI infrastructure
  • Founding team
  • Customer growth & deployments
Become the autonomous creative operating system for modern performance marketing teams.
Current No's
We don't build foundation models.
We don't power agencies.
We don't chase enterprise pilots.