New App
Transforms Hollywood
at the core ... and it's about time!
In 2007, Chris LeSchack and a friend submitted a script to a studio. They waited. Then the response came back ... great concept, but we feel it’s been done before. A rejection. No other notes. No indication of what worked, what didn’t, or whether anyone truly engaged with the story.
That moment stuck with him.
Not because rejection was unexpected, but because of the silence around it. A script goes in and then disappears. There's no visibility into how decisions are made or why one project moves forward while another goes nowhere. For writers, it often feels less like a process and more like a black hole.
This problem is systemic. Hollywood is filled with dormant scripts and unanswered submissions. Decisions are usually shaped by access, timing, or relationships rather than clear evaluation. For creators without representation or insider connections, there's little feedback and almost no path to understanding how to improve.
That experience planted the idea for iMogul.
Give writers real insight into how their scripts are perceived. Replace silence with clarity. Help creators understand their story’s strengths, weaknesses, and potential before years are lost.
But in 2007, the technology didn't exist to do that. Now it does.
Advances in AI finally made it possible to analyze story, structure, audience, and market fit in ways that had never been available before. Not to replace creative judgment, but to bring transparency to a process that had always been opaque. That shift is what made iMogul real.
At its core, iMogul is about rebuilding Hollywood from the ground up, starting with the script. Scripts are the foundation of everything, yet they've long been the least supported part of the system. iMogul gives creators clarity instead of silence, insight instead of guesswork, and a way forward based on understanding, not access.
New App Finally Fixes What's Wrong with Hollywood
This is Why Hollywood Needs iMogul Right Now
More scripts are being written and submitted than ever before. Thousands move through studios, production companies, agencies, and platforms every week. The issue is no longer a lack of ideas. It's that there are too many scripts and not enough time to properly read, evaluate, or explain decisions around them.
Most scripts don't fail because they're bad. They fail because decision-makers are overwhelmed. Material passes through inboxes, assistants, and development layers, often without clear reasoning for why one project advances and another disappears. For writers, the result is silence. Not rejection with notes, but no response at all.
At the same time, the business has changed. Studios and streamers are under pressure to move faster, reduce risk, and justify decisions earlier. Instinct and relationships still play a role, but they're no longer enough on their own. Projects are expected to show who they're for, why they matter, and how they fit into the market before money is committed.
For creators, this has widened the gap. Access is harder. Feedback is rarer. And without clear signals, writers are left guessing whether the problem is the concept, the execution, the timing, or simply the noise of the system itself.
What has changed is the technology.
For the first time, AI and data tools can analyze story structure, audience alignment, and commercial signals at scale, without replacing human judgment. What once lived behind closed doors can now be surfaced and understood.
This is the moment iMogul was built for.
iMogul brings clarity to a system that's become crowded, quiet, and opaque. It gives creators insight instead of silence. It gives decision-makers signals instead of guesswork. And it creates a way for stories to be evaluated on more than access alone.
How iMogul Works
Step 1: Upload the script
A creator starts by uploading a screenplay as a PDF into iMogul Pro. There's no setup, formatting, or preparation required.
Step 2: Instant AI analysis
Within seconds, iMogul analyzes the script at multiple levels. It identifies structure, characters, tone, pacing, themes, dialogue quality, genre signals, and production complexity. It doesn't just read the script. It interprets it the way a professional reader, producer, or executive would.
Step 3: Automatic story materials
The platform automatically generates a logline, synopsis, and elevator pitch. These aren't locked. The creator can edit and refine them so the language matches their own creative voice.
Step 4: Market and commercial analysis
iMogul produces a full Market Analysis Report. This includes comparable films and series, target audience alignment, estimated budget range, international appeal, sales potential, and likely distribution paths across theatrical, streaming, and global markets.
Step 5: Creative and positioning control
The creator reviews the analysis, confirms genre alignment, sets creative goals, and fine-tunes how the project is positioned. This step allows the writer to understand how the script is being seen and adjust intentionally rather than guessing.
Step 6: Publish an excerpt for early traction
Once ready, an excerpt (the first 20 pages) of the script is published to the iMogul community. This allows audiences to react, vote, and comment, creating early visibility and feedback before production.
Step 7: Audience signal collection
As users engage, iMogul captures real audience behavior. People vote, comment, and back projects using virtual currency. This creates a living dataset showing what concepts resonate, who audiences want to see attached, and which stories gain momentum.
Step 8: Predictive intelligence
iMogul blends story analysis with audience behavior to predict commercial viability. It assesses genre fit, audience demand, budget feasibility, international reach, and where the project is most likely to succeed, such as theatrical or specific streaming platforms.
Step 9: Casting and production recommendations
Based on character attributes, audience signals, and market data, iMogul recommends actors whose profiles align with each role and the project’s overall positioning. Screenwriters can refine these casting suggestions using criteria such as age range, ethnicity, and talent level (A-list, B-list, or emerging actors) when exploring options or shaping their vision. iMogul also recommends directors and cinematographers, which screenwriters may adjust to match their creative intent, along with filming location recommendations informed by creative tone, production logistics, and available tax incentives.
Step 10: Actor Module (upcoming)
iMogul is introducing a dedicated Actor Module during CES. Actors will be able to upload table-read performances, build profiles, and become discoverable. Audiences will be able to vote on performances, creating a new data layer that connects casting decisions with real audience interest.
Who is iMogul For?
iMogul AI delivers immediate value to every stakeholder in the entertainment pipeline, but the fastest impact is felt by screenwriters and producers, who gain instant clarity about the market viability of their projects. Investors benefit from early insights that reduce financial risk, while studios and streamers can use the platform to quickly evaluate submissions, review dormant optioned scripts, and prioritize development slates. Casting directors gain directional intelligence on talent alignment and emerging actors gain traction through the upcoming Actor Module.
Screenwriters solve the biggest challenge they face: uncertainty. They no longer have to wonder how their script will be interpreted or where it fits in the market. iMogul gives them professional-grade materials, logline, synopsis, elevator pitch, comps, budget ranges, filming incentives and lets them test ideas with real audiences.
Producers solve the problem of expensive guesswork. They can instantly assess whether a script is production-ready,
which markets it suits, the budget range required, and whether audience appetite exists. They can also evaluate which optioned scripts deserve renewed attention.
Investors solve the problem of risk. Instead of betting on instinct alone, they receive real audience engagement signals, demographic alignment, projected sales, and comparable film performance making early investment decisions more grounded.
Studios and streamers solve the problem of scale. They can use iMogul to filter incoming submissions, reassess internal scripts, match stories to audience preferences, and validate which projects deserve greenlight consideration.
Casting directors solve the problem of blind sourcing. With iMogul’s character-based casting recommendations and the upcoming Actor Module, they will be able to discover rising talent aligned to roles, genre, and audience expectations.
Chris LeSchack founded iMogul after a career spent at the intersection of technology, risk, and storytelling. He has worked in information technology since the mid-1980s, starting as a teenager entering code and data into early research computers used for scientific and engineering work.
That early exposure shaped how he thinks about systems, data, and how complex decisions are made.
In his early twenties, Chris moved overseas to Australia, finding work in government and defense technology after being told there were “no jobs” for him. He went on to design and manage secure networks and large-scale systems for government agencies in both Australia and the United States. Back in the U.S., he became a key architect behind enterprise data and analytics platforms for the TSA and the Department of Homeland Security, building systems designed to reduce uncertainty and support high-stakes decisions in real time.
Alongside this work, Chris remained deeply involved in storytelling. He wrote screenplays, studied narrative structure, and eventually became an executive producer on the feature documentary Fight Church, which later streamed on Netflix and other platforms. He also developed multiple original screenplays, including projects inspired by his father’s real Cold War CIA mission, blending personal history with cinematic storytelling.
The idea for iMogul grew from a moment in 2007, when a script Chris helped submit to a major studio was rejected with no explanation beyond “it’s been done before.” That experience stayed with him. Having spent decades building systems that bring clarity and data to complex decisions, he saw how opaque and inaccessible the Hollywood development process was for creators. When AI technology finally matured enough to understand long-form narrative, market dynamics, and audience behavior, Chris built iMogul to bring transparency, insight, and opportunity to storytelling.
At its core, iMogul reflects Chris’s belief that technology should empower people, not shut them out. His mission is to help creators understand where their stories fit, give decision-makers clearer signals, and open doors for voices that have historically been locked out of the system.
About Our Founder
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