About SoJen.AI
Communication intelligence that works before the damage compounds.
SoJen.AI is a communication intelligence platform built around a patent-pending transformer methodology for detecting implicit language risk before content is sent. The B2B API gives enterprise organizations in HR, trust and safety, education, and regulated industries a structured way to identify escalation signals, document risk patterns, and demonstrate proactive governance — at 98% F1 recall, on the language that keyword filters consistently miss.
Our Approach
A Different Problem Than Traditional Moderation Solves
Most moderation systems are built to remove harmful content after it has been reported. By then, the conversation has already escalated, the screenshot already circulated, the regulatory clock already started. SoJen.AI was built for a different intervention point: before the message is sent.
The harder problem is not identifying explicit threats — that is largely solved. The harder problem is detecting the escalating tone, the coded language, the implicit framing that creates legal exposure and organizational harm without triggering a single keyword filter. That is where SoJen.AI’s patent-pending transformer methodology operates.
The current enterprise API is the first product built on this methodology. The longer-term SoJen.AI vision is embedding this detection layer directly into communication platforms — so that intelligent, proactive intervention is the default, not an afterthought.
Pre-Publish Detection
Intervention at the moment of authorship — before content is sent and before damage occurs.
Implicit Risk Detection
98% F1 recall on escalating tone, loaded framing, and coded language — the patterns keyword filters miss.
Documented Governance
Every detection event creates an audit trail — proactive risk management that regulators, HR teams, and legal counsel can act on.
Celia Banks, Ph.D.
Founder & Chief Scientist
About the Founder
Built by a researcher who studied the problem before building the solution.
Dr. Celia Banks is the Founder and Chief Scientist of SoJen.AI, where she leads the development of Communication Intelligence technologies designed to help organizations identify communication risk before it escalates. Over more than two decades, she has built a career at the intersection of artificial intelligence, data science, organizational systems, and enterprise transformation—bringing together technical innovation and executive leadership to solve complex communication challenges.
Throughout her career, Dr. Banks has architected large-scale data and analytics platforms, developed AI and machine learning solutions, led global technology initiatives, and partnered with C-suite executives to translate strategy into measurable business outcomes. She has built high-performing organizations, directed enterprise transformation programs, and led continuous improvement initiatives with cumulative savings targets exceeding $1 billion. Her experience spans organizational design, performance measurement, Lean Six Sigma, portfolio management, executive coaching, and global technology delivery.
Dr. Banks honorably served in the U.S. Air Force before holding leadership roles at Bristol-Myers Squibb, Pfizer, and operation excellence consulting. She later founded I-Meta, a Big Data analytics company where she invented and patented the Spice Chip Technology system for acquiring and transforming large-scale data into actionable intelligence. SoJen.AI’s patent-pending Communication Intelligence platform represents her second invention, reflecting a consistent track record of developing technologies with strong intellectual property foundations.
Her academic work complements that industry experience. Dr. Banks holds a Master of Applied Data Science from the University of Michigan and a Ph.D. in Human and Organizational Systems from Fielding Graduate University. It was through this combination of advanced data science and behavioral systems research that she recognized communication risk as more than a language problem—it is a human and organizational systems problem requiring AI that understands context, behavior, and escalation rather than words alone.
That combination is rare: an inventor with multiple patented technologies, an AI and data scientist experienced in building scalable intelligent systems, an executive who has led enterprise-scale transformation, and a behavioral scientist who understands how communication shapes organizational outcomes. This multidisciplinary foundation is what enables SoJen.AI to build Communication Intelligence technologies that go beyond traditional natural language processing and address communication as a measurable enterprise risk.
Mission
Mission, Vision, and Approach
Mission
Give organizations the technical capability to detect and document communication risk before it escalates — transforming proactive governance from a goal into a measurable, auditable practice.
Vision
A future where communication platforms catch implicit risk before it compounds — where intelligent intervention is embedded into the moment of authorship, not bolted on after the fact.
Approach
Patent-pending transformer models trained on the language patterns that matter — combined with organizational context, custom lexicons, and human-centered intervention design — to deliver detection that is accurate, explainable, and defensible.
Differentiation
Not competing with AI infrastructure. Operating above it.
SoJen.AI is not an AI safety API of the kind AWS, Azure, or Google provide. Those are infrastructure services. SoJen.AI occupies a different position in the stack: a domain-specific communication intelligence layer that sits above general-purpose NLP services and below the enterprise workflows where language risk actually creates consequences. The distinction matters — because an infrastructure API trained on general content does not know what implicit escalation looks like in your industry, your HR environment, or your user population.
Applications
Where SoJen.AI Applies
Enterprise Communication Risk
Support organizations in identifying, documenting, and mitigating language risk across digital channels — before escalation creates legal, reputational, or human consequences.
HR and Employee Relations
Give HR leaders a consistent, defensible process for evaluating communication risk in workplace environments — with an audit trail that demonstrates due diligence.
Education and Regulated Environments
Detect early warning signals in K-12 and higher education settings where communication risk has direct safety, legal, and institutional consequences.
Trust, Safety, and Platform Integrity
Help trust and safety teams catch implicit escalation patterns before they become moderation incidents — reducing cost, response time, and reputational exposure.
Built for organizations that need more than reactive moderation.
If your organization is evaluating what a proactive, documented approach to communication risk management looks like — and whether SoJen.AI is the right fit for your environment — the discovery conversation is where that starts. Engagements are scoped individually; there is no pricing page because there is no standard configuration.