Seed Round · 2026

From story
to structured
screenplay.

Poseidon generates consistent, production-ready screenplays — with characters that remember, scenes that hold continuity, and style that stays controllable across the entire arc.

Operational · not a prototype
18 months · solo build
Seed round open
01 What it is

A production pipeline.
Not a chat tool.

Poseidon doesn't generate text on demand. It is an orchestrated pipeline — from abstract story to schema-validated, machine-readable screenplay output that plugs directly into professional production workflows.

01
Execution Pipeline — 8-step orchestration from story to script
core
▼
Pipeline steps
01
Story input · abstract narrative
02
Structure extraction · acts · sequences
03
Character initialization · memory seeding
04
Scene orchestration · agent interaction
05
Memory retrieval · context resolution
06
Style-controlled generation
07
Output validation · schema contracts
08
Structured screenplay · production-ready
Steps 04–06 are where the differentiation lives — governed, stateful, reproducible.
02
vs. Standard AI — what changes with Poseidon
compare
▼
Typical AI approach
Poseidon
One prompt per scene
Orchestrated pipeline per arc
No character memory
Persistent semantic memory
Style lost over length
Style-controlled per character
Manual continuity
Automatic continuity resolution
Non-reproducible
Deterministic checkpoints
Text generation
Structured production output
03
Studio Integration — architectural consequence, not a feature
context
▼
Poseidon doesn't replace a writers' room. It handles what currently happens manually — continuity tracking, character consistency, style enforcement — so the creative work stays creative.

The structured output and stateful pipeline are inherently compatible with professional production workflows. Studio integration is an architectural consequence, not a feature addition.
02 Why it matters

The problem AI writing
tools don't solve.

Single-prompt generation breaks down over length. Characters drift. Continuity fractures. Style becomes inconsistent. Poseidon is built specifically for where that breakdown begins.

The model generates text.
The system generates screenplays.
01
Character Architecture — stateful agents, not prompt descriptions
core
▼
Characters are not described in prompts — they are stateful agents with typed, decay-weighted memory. Every scene retrieves relevant context through semantic similarity, not string matching. A character remembers what they said three acts ago — because the system tracks it.
02
Style as Infrastructure — enforced at output level
core
▼
Style is a first-class parameter — configurable per character, persistent across scenes, and enforced at output level. Not a suggestion in a prompt. Not a vibe. A hard configuration the runtime holds throughout the entire arc.
03
Governed Orchestration — contracts, not suggestions
arch
▼
Agents are orchestrated, not prompted — decisions follow execution contracts, not natural language suggestions. The model is replaceable. The runtime, state, and logic are not. That is where the defensibility lives.
04
Market Scope — the architecture generalizes
market
▼
Screenplay generation is the first and most demanding vertical. The same runtime applies wherever long-form AI consistency is required.
01
Narrative & Media
Screenplays, series bibles, interactive fiction with persistent state
02
Enterprise Workflows
Multi-step processes with state, rollback and audit trail
03
Agent Infrastructure
Coordinated multi-agent systems requiring long-run consistency
04
AgenticOps
Runtime governance for production AI at scale
03 How it's built

The infrastructure
behind the output.

Not assembled from existing frameworks. The orchestration model, memory architecture, and execution contracts were designed from first principles — because nothing existing solved the problem at the required level of control.

01
Runtime Properties — technical depth
tech
▼
Character architectureStateful agents · typed memory
Memory retrievalSemantic · decay-weighted · scoped
Scene orchestrationEvent-driven · governed
Style systemPer-character · persistent · enforced
Output contractsSchema-validated · hard
Continuity modelCross-run · cross-scene · auditable
Model couplingDecoupled · adapter pattern
Production statusOperational · not a demo
02
Memory System — semantic retrieval, not string search
arch
▼
Every character holds a typed, weighted memory store backed by pgvector semantic similarity. Each scene retrieves context relevant to that moment — not the whole history, not a manual summary. Memories decay over time, giving the system a sense of recency and emotional weight that mirrors how characters actually think.
03
Output Contracts — schema-validated, machine-readable
output
▼
The system doesn't output prose it hopes is formatted correctly. Every output passes through a hard schema contract — structured, machine-readable, and directly connectable to external tools and production pipelines. Format-agnostic by design. API-first architecture: the system is a backend, not a closed tool.
04
Technology Stack
stack
▼
Backend
PHP 8.4 · Mezzio / Laminas
Database
PostgreSQL · pgvector
Orchestration
Event-driven · stateful agents
Memory
Semantic retrieval · scoped
Output
Schema-validated contracts
Model Layer
Decoupled · adapter pattern
PHP 8.4
Mezzio / Laminas
PostgreSQL · pgvector
Stateful Agents
Semantic Memory
Schema Contracts
Event-Driven
Model-Agnostic
→ Investment Case

What the investment
makes possible.

The architecture is complete. The system runs. What doesn't yet exist is the team to scale it — and the first customers to validate it commercially. That is what this round is for.

Round
Seed
First institutional capital · Angel & strategic welcome
Target
> 1M
18 months runway · team 3–5 · first revenue
01
Engineering Team — first hires to extend the platform
▼
The architecture is established — the team multiplies it. First hires focus on platform extension, tooling, and roadmap acceleration. No architectural reinvention required.
02
First Customer Acquisition — studios, streaming, enterprise
▼
Primary targets: film studios, production companies, streaming platforms, and enterprise content operations. The structured output and API-first architecture make integration straightforward for technical buyers.
03
Infrastructure Scaling — production-grade, multi-tenant
▼
Production-grade hosting, redundancy, and performance optimization for multi-tenant deployment. The system currently runs as a single-instance — scaling is an infrastructure task, not an architectural one.
04
Product Layer — interface and API exposure
▼
Interface and API layer that exposes the runtime to external integrations and studio workflows. The backend is complete — the product layer makes it accessible to non-technical buyers and integration partners.
The Founder
Frank Markwort
Founder · Architect · Solo Developer
Software developer with a background in complex system architecture. Poseidon is not a side project — it is the result of 18 months of focused, full-time development, built entirely solo with a clear architectural vision from day one.

The system was not assembled from existing frameworks. The orchestration model, memory architecture, and execution contracts were designed from first principles — because nothing existing solved the problem at the required level of control.
18months dev
Solofull-time
Liveoperational
0frameworks
Most AI projects are built fast, with borrowed architecture, to catch a wave.

This one was built slowly, from scratch, because the problem required it.

That is a different kind of commitment — and a different kind of defensibility.

No deck required. No sales process.
A direct technical discussion about the system, the architecture, and the opportunity.

frank@poseidon-cas.com