Riverio
The autonomous creative infrastructure performance marketing teams run on.
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
The Best Teams are Building Their Creative System by Hand
The edge in performance marketing is no longer individual creatives. It's the system that produces, tests, and learns from them at scale. Today, even the most advanced teams stitch that system together by hand.
Stitched Together by Hand
Models, agents, editing, publishing, and data live in separate tools, wired together with internal infrastructure.
No Closed Loop
Creative decisions stay disconnected from performance data, so nothing compounds.
Breaks at Scale
The stack is fragile and manual. It can't keep pace with the creative volume modern ad algorithms demand.
the solution
The Infrastructure Behind an Autonomous Creative System
Riverio unifies the entire creative stack (models, agents, editing, publishing, and performance data) into one system each brand runs its creative operation on.
Unified Creative Infrastructure
Models, agents, APIs, editing, and publishing orchestrated into one system, customized per brand.
Autonomous Generation
Brand-aligned creative produced at scale to beat fatigue across paid channels.
Closed Performance Loop
Every asset is wired to performance data, so the system tests, learns, and compounds.
VISION
The future of marketing
is autonomous creative systems for every brand.

Riverio is the infrastructure they run on.
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.
Not a moat: model-agnostic, "AI-powered", and generic data.
THE MODEL
Software, Powered by Service
We start service-led and graduate to self-serve. Service gets us inside the brand and earns the data; the software compounds until the brand runs on it.
Phase 1 — Service-led (now)
We build and run the creative system on Riverio. Brand onboarding, workflow optimization, performance reviews, and iteration loops. Service gets us inside, earns the data, proves the loop.
Phase 2 — Self-serve infrastructure (next)
As the system matures, brands operate it themselves. Riverio becomes the platform their creative system runs on.
Software powered by service: longer to land, far harder to leave.
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
We size the creative spend brands already make rather than our own ACV. Creative production runs 15-25% of media spend for performance brands (industry benchmark); we size conservatively below that floor.
$12B
Entry: the few
~2,500 brands spend $10M+/mo on performance. Each spends mm/yr producing and running creative (we model ~$5M, ~4% of media). That's a ~$12B creative-ops pool: the stitched-together stack we replace.
$1M+/mo
The revenue base today
Today we serve the first slice of the $1M+/mo market. Near-term revenue, and live proof the model works below the whales.
$24B+
Maturity
Open the same infrastructure to the 50,000+ brands spending $1M+/mo. ~$24B+ as creative systems become standard and Riverio runs self-serve.
THE MARKET
Our design partners are performance brands spending $10-30M+/mo, where the creative system is the constraint on growth.
Creative volume, not budget, is the ceiling. We build the infrastructure with the few who have the hardest problem, fund it with the many a tier down, and open it to the many at scale.
The Few — Design Partners
$10-30M+/mo performance brands. Gaming-company profile, any vertical. Building for them builds the infrastructure and earns the deepest data.
The Many — Revenue Base (now)
High-intent performance brands a tier down ($1M+/mo). They fund the build today and prove the system works below the whales: the leading edge of the self-serve market we open at maturity.
Nor For Us
Low-volume buyers (a few videos a month). The infrastructure only pays off at real, sustained spend.
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
Land with the many. Expand into six figures with the few.
Step 1 — Audit
$0–$999: Brand-specific creative + a performance assessment in days. Low-friction entry.
Step 2 — First Batch
$3K–$7K: Live creative to paid channels in days. Validate the fit before the retainer.
Step 3 — Retainer
$2K–$5K/mo: Per-brand model + ongoing creative + workflow tuning + performance review. This is the revenue base.
Step 4 — Expand
Design Partner: Six-figure ACV. With the highest-spend brands, Riverio absorbs more of the creative-ops stack until the account is six figures.
The wedge gets us in fast. The many fund the build; the few compound into six figures.
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 — July 2026
Use of funds:
  • Engineering & AI infrastructure
  • Founding team
  • Design-partner deployments
Become the creative infrastructure the next generation of performance teams run on.
Current No's
We don't build foundation models.
We don't power agencies.