Product Explainer Films for Complex Systems
Selected Work
How complex systems have been clarified and brought to life.
Each project starts with clarifying the system, before anything is produced.
System Case Study
A technical system communicated for high-stakes environments where clarity and discretion are critical.
The Challenge
The system involved layered mechanical components and airflow control mechanisms that needed to be understood clearly, while maintaining discretion around sensitive design details.
The Approach
We clarified the system by mapping internal logic and component relationships into a structured, understandable model.
Abstraction was applied selectively to communicate performance without exposing protected technical detail.
The Outcome
The result supported technical and commercial presentations in high-stakes environments, where clarity and discretion directly impacted understanding and decision-making.
The system was ultimately expressed through a technical film used to communicate it clearly to investors and partners.
Full project details remain confidential.
Additional work available on request. Most projects operate under NDA.
Approach
We don’t simplify ideas.
We structure them.
Every project starts by understanding how the system actually works.
What’s happening beneath the surface.
What matters. What doesn’t. What can’t be shown.
We map what needs to be explained, what should stay abstract, and what must be protected.
From there, we build a clear structure that holds together, so the audience doesn’t have to piece it together themselves.
Then it’s expressed visually, with precision and restraint.
Clarification
We map the system.
What needs to be explained, what stays abstract, and what must be protected.
class Sampling(layers.Layer):
"""Uses (mean, log_var) to sample z, the vector encoding a digit."""
def call(self, inputs):
mean, log_var = inputs
batch = tf.shape(mean)[0]
dim = tf.shape(mean)[1]
return mean + tf.exp(0.5 * log_var) * epsilon
Structure
We turn complex logic into a clear structure, and shape a narrative that guides understanding.
Security
Efficiency
Speed
Accuracy
Status:
Updating:
Translation
How this is used
The output depends on what needs to be understood.
Industries
Built for complex systems across sectors.
Across industries, the pattern is the same.
Complex systems are understood internally, but don’t translate clearly outside the team.
The system changes. The communication challenge doesn't.
Robotics & Automation
Control systems, sensor logic, and integrated robotic environments where behaviour needs to be understood clearly.
Medical & Health Technology
Complex devices and treatment systems that must be clearly understood across clinical, regulatory, and commercial audiences.
Industrial Engineering Systems
Clarifying high-value machinery, manufacturing workflows, and operational processes end-to-end.
Energy & Environmental Technology
Translating infrastructure, clean-tech, and process-driven systems into clear visual communication.
Defence & Security Systems
Sensitive systems where clarity is required without exposing protected technical detail.
AI, Data & Software Platforms
Explaining complex algorithms, data pipelines, and software for technical and non-technical stakeholders.
Engagement & Investment
Engagements are scoped around complexity.
Engagements are shaped by the complexity of the system, the sensitivity of the information, and the level of senior involvement required.
Most projects sit in the £8,000 to £25,000+ range, depending on scope.
Typically starting with a short discovery call, followed by a clear proposal.
There’s no standard package. Each system requires its own approach.
Contacts
info@atomicexplainers.com
+44 7535 946 736
85 Great Portland St, London