How Producers Use VIQI to Find Co-Production Partners and Financiers

Finding the right co-production partner or gap financier is one of the most time-consuming tasks in production — and one of the most expensive to get wrong. A mismatched partner wastes months of development. Approaching a financier without understanding their current appetite wastes relationships. Producers who rely on conference networks and trade press for this intelligence operate at a structural disadvantage against those with access to verified data.

This is the problem VIQI solves for producers. As an AI tool for co-production partners and financing intelligence, VIQI draws on Vitrina’s verified entertainment data graph to surface the right companies, with the right track records, in the right territories — in response to a plain-language question.

The Problem Producers Face in Co-Production Research

The co-production partner research process at most production companies follows a familiar but inefficient pattern: ask contacts for referrals, scan festival attendee lists, search trade press archives, and check studio websites — each of which is partial, often outdated, and disconnected from actual deal activity. The result is a list of names to cold-approach, with minimal intelligence about their current priorities or financial capacity.

The specific data problems are significant:

• No public registry of active co-producers — there is no authoritative list of which companies are actively seeking co-production partnerships in any given territory or genre
• Deal history is hidden — most co-production agreements are never publicly announced; understanding a company’s track record requires access to non-public data
• Contact data decays — heads of production, international co-production executives, and development leads change roles frequently; directories are routinely out of date
• Financier mandates shift — a gap financier that was active in European drama last year may have shifted focus to global unscripted this year; knowing current appetite requires current data

Understanding how to find international co-production partners traditionally meant spending months at trade markets and maintaining large networks. VIQI compresses this to a single query.

How VIQI Works for Co-Production Partner Discovery

VIQI is Vitrina’s AI agent built on a verified graph of 159,223 entertainment companies. For producers, it functions as an intelligent research assistant that accepts natural-language queries and returns structured, ranked results from verified M&E data.

When a producer asks VIQI a co-production research question, the system:

1. Parses the query — identifying genre, territory, company type, deal type, and time parameters from the natural-language input
2. Queries the verified graph — running the parsed filters against Vitrina’s structured dataset of production companies and their co-production histories
3. Ranks results by relevance — prioritising companies with the most recent and relevant co-production activity that matches the query criteria
4. Returns provenance-tracked outputs — including source data, verification dates, and contact information where available

This workflow replaces what would otherwise be hours or days of manual research — and delivers results from a verified source, not from a press scrape or AI hallucination. Explore the full capability at vitrina.ai/viqi/.

Finding Co-Production Partners by Territory and Genre

Territory and genre are the two primary filters that define a co-production search. A UK animation producer looking for a South Korean co-producer has very different requirements from a French drama producer looking for a Nordic partner. VIQI handles both scenarios — and every variation between them — through verified company data organised by these exact dimensions.

Territory-Based Discovery

VIQI’s territory data covers 100+ production markets — from major hubs (US, UK, France, Germany, India, Japan, South Korea, Australia) to emerging territories (LATAM, MENA, Southeast Asia, Eastern Europe). For each territory, producers can query:

• Production companies with active co-production track records in that territory
• The territories each company has previously co-produced with
• Tax incentive bodies and their current eligible production types
• Broadcasters and streamers commissioning productions from that territory

Genre-Based Discovery

Genre data in VIQI’s graph allows producers to filter by scripted drama, animation, documentary, unscripted/factual, features, and more. Genre filtering is especially important for co-production research because production company specialisation varies sharply: a company with a strong track record in animation may have no experience in documentary co-production. VIQI surfaces only companies with relevant genre experience for any given query. The benefits of global co-productions for independent producers depend significantly on matching genre expertise.

Using VIQI for Financing Intelligence

Beyond co-production partner discovery, VIQI serves as an intelligence tool for the financing dimension of co-production: identifying active gap financiers, understanding current lending appetite by territory and genre, and mapping tax incentive bodies to specific production types.

Gap Financier Discovery

Gap financing is one of the hardest funding sources to identify — gap financiers rarely advertise actively, and their appetite shifts with market conditions. VIQI maps verified gap financiers against the productions they have funded, the territories they are active in, and the genres they prefer. A producer structuring a gap financing position can query VIQI to identify the most likely lenders for their specific project profile. Explore the broader context of film financing options for independent producers.

Tax Incentive Intelligence

Tax incentives are a critical component of international co-production structures — but tracking which incentives apply to which production types in which territories is a specialist task. VIQI maps tax incentive bodies and their eligibility criteria, allowing producers to quickly identify which territories offer incentives relevant to their specific production, and which incentive bodies to approach. Review the formal co-production frameworks at film co-production agreements: what you need to know.

Real Query Examples for Producers Using VIQI

These are the kinds of questions producers ask VIQI — and the structured answers the system returns from verified data:

VIQI vs Traditional Co-Production Research Methods

Vitrina’s Role in Producer Intelligence

Vitrina built its entertainment data graph specifically for the commercial intelligence needs of M&E professionals — not for content recommendations, not for audience analytics, but for the B2B deal intelligence that drives co-production, financing, acquisition, and distribution decisions.

VIQI is Vitrina’s AI interface to that graph — making it accessible to producers through natural-language queries rather than requiring database expertise. The result is a research capability that was previously available only to teams with large international networks or expensive market intelligence subscriptions, now accessible as a standard production intelligence tool.

For independent producers in particular, this represents a structural change in access to partner intelligence. The gap between major studio research capabilities and independent production intelligence is narrowing — with VIQI as the mechanism.

Conclusion

Finding the right co-production partner or gap financier no longer requires months of conference attendance, extensive network maintenance, or expensive market subscriptions. VIQI gives producers direct access to verified M&E company data — 159,223 companies, 100+ territories, with deal histories, financing records, and decision-maker contacts — through a natural-language interface that returns answers in minutes.

For producers, the practical outcome is faster partner identification, better-qualified approaches, and a higher hit rate on co-production and financing conversations — because every approach is informed by verified intelligence rather than guesswork.

Frequently Asked Questions