counterparty research Automation: Moderne Ventures x GTCX Network

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Run an experiment

Testing before production

Reporting outcome metrics safely

Runs controlled experiments with defined inputs, variations, and evaluation criteria.

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Prompt Experiments

Model Benchmarks

Workflow Testing

Edge-Case Testing

Performance Testing

Tool Comparison

Prompt Testing & Optimization Workflow

Test multiple prompt variants

Evaluate output quality

Log learnings centrally

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Connect all your apps to AI and orchestrate them from one place

Automate complex workflows across all your tools—seamlessly connecting data, actions, and systems through AI-powered orchestration.

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Experiments
Testing
Evaluation
Optimization

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Precision AI

AI for multi-billion dollar workflows

GTCX built the Operating System for financial decisions. A new standard for institutional intelligence built for high-stakes financial decisions.

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  • Time saving for invoice processing

    95%

    "We are looking for GTCX Network and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work."

    James Tomlinson

    Managing Director

  • Productivity increase

    35%

    "We used GTCX Network to automate our research process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use."

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    Trey Heath

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What is a Skill in GTCX Network?

A Skill is a specialized AI capability designed to solve a specific task extremely well, such as analyzing a complex Excel model, searching regulatory filings, generating a board-ready slide deck, or redlining a contract. Each Skill focuses on one capability, and GTCX agents combine them to execute larger, multi-step workflows across your tools and data.

How are Skills different from prompts?

A prompt generates a single response, while a Skill defines how a task should be executed. Skills are structured, reusable, and operational, enabling agents to follow defined steps, interact with tools, and produce consistent outputs that can be orchestrated with other Skills as part of a broader workflow.

How do agents use multiple Skills together?

Agents select and sequence Skills based on the goal they are given. Instead of producing one output, they determine which capabilities are required and in what order, chaining together research, analysis, document generation, and system updates to complete complex work end to end.

How are Skills different from traditional workflow automation?

Traditional automation relies on rigid, predefined rules, whereas Skills are AI-native and adaptive. Agents can decide which Skills are relevant, adjust their plan as they gather information, and coordinate multiple systems dynamically, making it possible to handle complex, variable work rather than fixed processes.

Can we create custom Skills for our team?

Yes, teams can define their own Skills to reflect how they operate, from preparing investment memos to generating customer follow-ups. Once created, these Skills become reusable capabilities that agents can apply consistently and combine with other Skills across the organization.

Precision AI for Institutional Workflows

Build once.
Deploy across teams.
Improve over time.

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30 minutes

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