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Stateful multi-agent orchestration for real commercial workflows.

Orchestrating creative work with AI agents.

From brief and strategy to structured creative outputs — executed as stateful jobs.

Built on uAgentsDiscoverable via ecosystem registriesOpen-source MIT adapters + schemasMicro-settlement per step (receipt-ready)
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Why this moment matters

The bottleneck moved from creation to execution.

Engines improved fast. The missing piece is reliable orchestration: sequential jobs, deterministic exchange, and settlement-ready receipts.

Signal 01

AI media engines reached production-level quality

High-quality output can now be produced from structured inputs — the bottleneck moved from creation to execution and coordination.

Signal 02

Teams must ship 10× more creative with flat headcount

Budgets stay constrained while iteration cycles shrink. Manual workflows cannot keep pace with market feedback loops.

Signal 03

Agent workflows make execution programmable

Breaking work into deterministic micro-steps (ingest → brief → story → assets) enables reproducibility, verification, and automated settlement.

Ecosystem-ready building blocks

Not just a product — a reference implementation others can copy.

AdTech is our infrastructure stress-test vertical. The protocol generalizes to any multi-step commercial workflow that needs state, determinism and settlement readiness.

Open Source

Public utility (MIT): Web2 Ingest Node

AdvaScout uAgent + reusable adapter template — deterministic URL → Content Pack. Built to be forked by other builders.

Execution

Stateful Orchestrator for long-running jobs

AdvaCore coordinates job state, retries, QA gates and agent-to-agent contracts across sequential steps.

Economics

Settlement-ready job contracts

Each step is designed for verifiable receipts and micro-settlement so execution cost is unavoidable — not a future add-on.

Job lifecycle

Every run is a stateful job — not a prompt.

A job has an ID, state transitions, retries, QA gates and receipts. This turns agents into production-grade workers and makes economic activity traceable.

Step 1

Created

Job spec created from URL + operator constraints.

Step 2

Executed

Sequential agent steps run with schema validation.

Step 3

Verified

QA gates + deterministic outputs + receipts.

Step 4

Settled

Micro-settlement per step (receipt-ready economics).

Step 5

Archived

Artifacts stored for replay, audits and iteration.

What operators get with Advataria

A repeatable way to execute high-quality media workflows without manual coordination.

Cinematic output in minutes — not weeks

Jobs run through ingest, positioning, script, storyboard, generation and packaging automatically. No coordination overhead, no production bottlenecks.

More execution for the same budget

Each step is a specialized agent node, making experimentation cheap. Run 10–20 angles for the cost of a single traditional production cycle.

Reproducible pipelines, not one-off prompts

Every run follows the same schema-driven workflow, enabling consistent iteration, audits, and predictable delivery under volume.

Transparent, editable & future-proof

Every stage is generated in structured, human-readable form. Restart, update, remix or scale without losing context or traceability.

From URL to repeatable job execution. Fully automated. Always on.

How the protocol executes

Execution is decomposed into deterministic stages with explicit inputs/outputs. This is why the workflow can be audited, replayed and settled per step.Additional stages (deployment, distribution and performance feedback) are designed to plug into the same orchestration layer.

URLCONTENT PACKSTRATEGY JSONSCRIPT JSONRECEIPTS

Stage 1

Ingest (AdvaScout)

URL → Verified Content Pack (structured extraction of signals, claims, cues, constraints).

Stage 2

Strategy (AdvaBrief)

Content Pack → Strategy JSON (positioning, angle selection, audience and constraints).

Stage 3

Creative (AdvaStory)

Strategy JSON → Script JSON (hooks, variants, CTAs, and narrative structure).

Stage 4

Orchestration (AdvaCore)

State management, retries and routing applied across all execution stages.

Stage 5

Settlement (Treasury / Receipts)

Step receipts + micro-settlement per execution unit — enabling auditable cost and economic finality.

Advataria Agent Network — 14 interoperable nodes

Core protocol (MVP): AdvaCore + Scout + Brief + StoryExpansion nodes: generation, editing, QA, publishing, analytics

AdTech is our stress-test vertical — the protocol generalizes to any complex B2B job. The open building blocks are designed to be reused across the ecosystem.

AdvaScout (Ingest Agent)

Deterministic website → Content Pack extraction into structured data.

AdvaBrief (Strategy Agent)

Builds Strategy JSON: positioning, angle, audience and constraints.

AdvaStory (Script Agent)

Builds Script JSON: hooks, variants and CTAs optimized for iteration.

AdvaBoard (Storyboard Agent)

Frame-by-frame instructions with motion notes and overlays.

AdvaPrompt (Prompt Agent)

Compiles multimodal prompts and guardrails per engine.

AdvaVision (Style Agent)

Defines look & visual language so output stays coherent.

AdvaAnimate (Generation Agent)

Runs the selected engine(s) to produce scenes and avatar footage.

AdvaCut (Editor Agent)

Assembles, polishes pacing and exports required formats.

AdvaCore (Orchestrator)

Coordinates stateful jobs end-to-end, managing retries and QA gates.

AdvaGuard (Quality Agent)

Safety, compliance and brand constraints before anything ships.

AdvaLaunch (Publishing Agent)

Exports and routes final assets to the chosen channels or teams.

AdvaCast (Avatar Agent)

Selects avatar, tone and voice that fit the job constraints.

AdvaInsight (Analytics Agent)

Reads performance, learns what works, feeds back into the network.

AdvaAssist (Client Agent)

Guides inputs and translates business needs into clear job specs.

What makes Advataria different

1

Reference implementation, not a one-off tool

Advataria is built to be copied: schemas, adapters and execution patterns that other builders can reuse for real workflows.

2

Stateful sequential execution

We focus on job lifecycle, retries and determinism — turning agents from demos into production-grade workers.

3

Engine-agnostic by design

Engines are plug-ins. Orchestration, schemas and settlement stay stable while models and compute providers evolve.

4

Schema-driven outputs over prompt chaos

Ingest → Strategy JSON → Script JSON → Storyboard → Assets enables reproducibility, audits and controlled iteration.

5

Unavoidable economic activity

Execution is designed for receipts and micro-settlement per step so token spend maps directly to real work.

Engines are plug-ins

The durable layer is orchestration: schemas, sequential execution and receipts. Engines can change (new models, new compute providers, decentralized networks) without changing how jobs run.

Google Veo 3
OpenAI Sora
Runway Gen-3
HeyGen
Decentralized compute (plug-in)

Evidence & public artifacts

We optimize for execution readiness: public artifacts, deterministic contracts and demoable flows.

Agent registration & discoverability

Public agent identity and discoverable utility profile (demo-ready).

Open source (MIT): adapters + schemas

Reusable templates intended for other builders to fork and extend.

Receipt-ready settlement model

Execution designed for step receipts and micro-settlement so economics map to real work.

Public links

Practical note: we open-source adapters and schemas as infrastructure. Orchestration policies and operator UX remain proprietary to ensure production reliability.

Stress-test showcase: Commercial creative job outputs

Advertising is used as a forcing function to stress-test orchestration, sequential execution and deterministic contracts under real output constraints.

Korean cosmetics Oringe

Sport watch Vertu

Furniture Keika

Weiss Pilates studio

BB Dent

Cafeteria Vespa

Proven leadership team

A mix of tech, blockchain and marketing leaders focused on production-grade autonomous execution.

Rado Barka

Rado Barka

CEO

20+ years leading tech companies at board level across IT, data and crypto. Designs the agent architecture and ecosystem strategy.

Ana Vajs

Ana Vajs

CCO

10+ years in tech and brand strategy. Owns operator experience and commercial workflow design.

Dusan Hamar

Dusan Hamar

CTO

20+ years building scalable cloud platforms. Owns reliability, security and production execution.

Investors & ecosystem partners

We collaborate with ecosystems and partners who want real on-chain utility driven by commercial workflows — not speculative narratives. Reach out for the deck, roadmap and demo.

Email: hello@advataria.com