PLATFORM / MODULES

The complete AI streamline from concept and screenplay through analysis to marketing

CineCockpit is not a single tool but a continuous process in six steps. Story in, market findings and marketing approach out. Each module solves a concrete task, from the first treatment through to a data-grounded channel recommendation. Data delivers the findings. People deliver the judgment.

WORKFLOW // END-TO-END STREAMLINE

The complete AI streamline from concept and screenplay through analysis to marketing.

Six steps. One continuous process. Data delivers the findings. People deliver the judgment.

INPUT

Idea and Screenplay

Free text, treatment, screenplay, or concept as the starting point.

ANALYSIS

Story Profile and Screenplay Analysis

Extraction of genre, tone, characters, and format parameters.

MATCHING

Databases, Social Channels, and Communities

Structured matching against open sources and audience signals.

PROPRIETARY AI

Mistral (European AI)

EU infrastructure, interchangeable and self-hostable. No third-country dependency.

FINDINGS

Market Findings and Provenance

Comparable titles, audience match, and sourced evidence with confidence levels.

OUTPUT

Marketing Approach

Actionable recommendation for digital channels, grounded in market findings.

MODULE A

Asset Library

The asset library is the central archive for all stories, talent, creatives, literary rights, and active projects within an organisation. Everything in one place, searchable, filterable, and with a clear edit history. It forms the foundation for every screenplay and story analysis carried out in the system.

Rather than scattering knowledge across email folders, spreadsheets, and personal notes, the team maintains a shared body of work. When onboarding a new colleague or reactivating a project, all information is immediately at hand, complete with source attribution and timestamps. With each run, the data records grow richer.

  • Five asset types: talent, creatives, literary works and stories, other IP sources, projects
  • Full-text search and filtering by genre, status, funding country, and availability
  • Automatic duplicate detection when entries are added more than once
  • Audit trail: every change is traceable, no data loss when team members move on
Platform detail view
Illustration: asset library showing stories, talent, and projects in a searchable list view
Illustration: living asset sheet with automatically populated data fields and source references
MODULE B

Living Asset Sheets

Every entry in the library is not a static form but a living data record. When first created, it is automatically populated with publicly available information and updates whenever new data becomes available. The system draws on an extensible collection of open sources and data providers, provider-neutral and interchangeable.

This saves hours of manual research. Every automatically entered piece of information carries a source, a date, and a confidence level. Insights from the intelligence chat flow directly back into the sheet, so that each record grows more complete with every use. The flywheel principle: the more the team works, the richer the data records become.

  • Auto-initialisation: creating a title populates fields from public metadata registers
  • On-demand re-sync: update individual fields without overwriting manual entries
  • Chat write-back: insights from the intelligence chat can be saved directly to the sheet
  • Conflict signal: contradictory sources are flagged, not silently overwritten
Platform detail view
MODULE C

Intelligence Chat

A research interface that works directly on an organisation's own data and on an extensible collection of open data sources. CineCockpit connects a range of interfaces: social platforms, streaming catalogues, community data, and knowledge graphs, named neutrally and without vendor lock-in. Questions are not just answered, they are substantiated with source, date, and confidence level.

Data delivers the findings. People deliver the judgment. The chat is not a decision-making machine but a tool for the development of stories and creative concepts, one that makes every statement traceable. The underlying language model is interchangeable, with no lock-in to any single provider.

  • Provenance per output: source, date, and confidence are a fixed part of every response
  • Hybrid mode: internal house content and external data sources can be combined
  • Uncertain statements are marked as such, no free pass for hallucinations
  • Interchangeable language model: no vendor lock-in, full control over the AI layer
Platform detail view
Illustration: intelligence chat with a sourced response, source reference, and confidence level
Illustration: data engine with processing pipeline, agents, and structured output
MODULE D

Engine and Workflow

Running in the background is an agentic processing pipeline: it takes a request, pulls in relevant data sources, checks for conflicts, enriches the record, and produces a structured output with a complete provenance chain. Stories and concepts are matched against databases and open sources throughout.

This is not a black box. Every step of the workflow is logged and traceable. The engine can be adapted to the existing working environment of any organisation, including custom taxonomies, operating modes, and export formats. All connected interfaces are provider-neutral and can be swapped out.

OPERATING MODE 01

Discovery

Broad exploration: mapping stories, talent, or topics from the library and public sources.

OPERATING MODE 02

Validation

Targeted verification: market positioning, sourcing comparables, confirming rights status and funding history.

OPERATING MODE 03

Deep Mining

In-depth analysis: all six data categories combined, exportable dossier with complete provenance.

View workflow diagram
MODULE E

Data Foundation and Provenance

CineCockpit draws on an extensible collection of open data sources, provider-neutral and interchangeable. Stories and concepts are matched against these sources and automatically annotated with evidence. No date, no value appears without a source reference. That is the provenance principle.

01

Works and Metadata Registers

Public film and TV registers supply base data on titles, casts, production years, and technical specifications.

02

Knowledge Graphs and Entities

Entity resolution via open knowledge graphs links people, works, and organisations in a machine-readable and unambiguous way.

03

Demand and Search-Interest Signals

Aggregated search-interest data shows which topics, genres, and stories are gaining attention in Europe market.

04

Reach and Resonance Signals

Reach and resonance signals from public platforms provide indications of audience interest and format affinity.

05

Streaming Demand Indicators

Streaming demand indicators reveal which stories and genres are gaining traction in international comparison.

06

Review and Community Corpora

Public review and community corpora (GDPR-compliant, no personal raw data) enable sentiment classification.

MODULE F

Security and Sovereignty

Screenplays, stories, and rights options are the most valuable asset in any development process, whether in the writers' room, in production, or in a broadcaster's editorial team. CineCockpit was built from the ground up to ensure that this data never leaves the organisation. EU hosting, GDPR compliance, data sovereignty: Europe-first with local AI.

Isolated instance per organisation

Each organisation receives a strictly separate database and runtime environment. No shared tenancy, no shared vector indexes, no cross-connections between customers.

EU hosting on ISO 27001 infrastructure

All data resides on certified servers within the EU. No transfer to third countries without explicit authorisation and a corresponding data processing agreement.

Interchangeable language model

The AI model is modular: no vendor lock-in. Switching between providers or running a locally hosted model are both contractually and technically supported.

Zero retention by contract

Requests to external language models are not stored for training or logging purposes. This is contractually guaranteed and explained in the security demo.

MODULE G

Marketing Approach

At the end of the streamline sits not a pitch document but a data-grounded marketing approach: relevant audiences, fitting digital channels, recommended timing, and campaign patterns drawn from comparable titles. CineCockpit derives this recommendation directly from the market findings, not from instinct.

The system identifies which audiences are relevant for a given story, through which social and community channels those audiences have been reached by comparable works, and which timing patterns proved effective. Everything is a finding and a suggestion. The decision belongs to the team. No invented numbers, data-backed box-office guidances, no automatic greenlight promise.

  • Audience match: derived from genre, tone, and comparable titles such as Dark (2017) or Kleo (2022)
  • Channel recommendation: digital platforms, communities, and social formats ranked by audience affinity
  • Timing signals: seasonal patterns and lead times from public release data of comparable titles
  • Campaign patterns: structural similarities to known releases as orientation points, with source attribution

SAMPLE OUTPUT // MARKETING FINDINGS

AUDIENCE

25-44, urban, series-literate. Affinity with European thriller stories with historical grounding (comparables: Babylon Berlin, Charite).

CHANNELS

History and true-crime communities, book-focused social formats, contemporary history podcast circles. Secondary: public-broadcaster press corridors and editorial platforms.

TIMING

Autumn window (Sep-Nov) disproportionately strong for prestige mini-series in DACH. Community seeding lead time: 8-12 weeks before release.

CONFIDENCE

High, based on 14 comparable titles. Source attribution in the dossier.

The marketing module provides orientation, not a campaign plan. Data-backed box-office guidance, no automatic greenlight promise. The decision rests with the team.
SOCIAL AND COMMUNITY

Which online communities and platform formats fit the story and its audience. Derived from resonance signals of public channels, not from advertising platform data.

TIMING AND LEAD TIME

Seasonal patterns and lead times from public release data of comparable titles in the European market. A historical finding, not an algorithmic optimum.

CAMPAIGN PATTERNS

Structural similarities to releases such as The Swarm (2023) or Kleo (2022) as a frame of reference. With source attribution and confidence assessment.

GENRE TAXONOMY

80 to 150 DACH micro-genre tags

CineCockpit uses its own DACH-specific genre taxonomy. Instead of broad categories like "drama" or "thriller," it offers precise micro-genres that reflect the real language of development conversations. The taxonomy grows with each use and is maintained with AI support.

Social Drama DACH Regional Crime Prestige Mini-Series Historical Docudrama Family Film Dialect Auteur Film Festival True Crime AT Event Series Primetime Children's Film DE-CH-AT Adapted Bestseller International Co-Production Political Thriller Current Affairs + 80 more

PILOT PHASE // AUTUMN 2026

See the complete streamline in a live session

In a 30-minute demo we walk through the entire streamline from story input to marketing approach, using titles and questions from your own context. For filmmakers, producers, studios, broadcasters, and streaming providers in Europe.

AVAILABILITY: FOR DEVELOPMENT AND EDITORIAL TEAMS IN THE EUROPEAN MARKET. FROM DIRECTORS AND WRITERS TO PRODUCTION, STUDIOS, BROADCASTERS, AND STREAMING PROVIDERS.