🌐 The Independent Governance Layer for Every AI Application.
Stop relying on fragile system prompts and inconsistent provider guardrails. SASI is a model-agnostic, symbolic safety middleware that gives developers and enterprises a deterministic airlock to manage risk, ensure compliance, and make AI behavior truly auditable.
For Developers:
Lightweight SDK integration in under 4 hours with no model retraining required.
For Enterprises:
Model-agnostic governance that remains invariant across OpenAI, Anthropic, Llama, and other stacks.
For Compliance:
Out-of-the-box alignment for COPPA, HIPAA, and the EU AI Act.
🧩 The Logic of Independence – Why Middleware Wins
The "Embedded" Risk: Most AI safety today relies on "hidden" provider guardrails or fragile system prompts. These are easily bypassed via jailbreaks or prompt injections, and they change every time a model is updated.
The SASI Solution: An Independent Safety Airlock SASI provides a deterministic, symbolic safety layer that sits between your users and the Large Language Model. Because it is decoupled from the model, your safety protocols remain invariant—whether you are using OpenAI, Anthropic, or an open-source Llama stack.
Key Differentiators:
- Symbolic Intelligence, Not Probabilistic Guesses: Unlike LLMs that "predict" the next word, SASI uses 13 deterministic Symbolic Operators to enforce policy transforms and governance.
- Stateful Risk Momentum: SASI doesn't just look at a single message; it tracks the trajectory of an entire conversation across 6 MDTSAS dimensions, detecting volatility and boundary erosion over time.
- Fail-Closed Infrastructure: If an error occurs within the safety stack, SASI defaults to a crisis response, ensuring that a system failure never results in a safety breach.
- Hard Safety Enforcement: Even if an application is misconfigured, SASI’s always-on "Hard Safety Layer" forces PII redaction and crisis templates in regulated modes.
- Auditable Decision Trees: Every action is logged with a "Regulator-Readable Output," providing the rationale and decision-tree path required for FDA and enterprise audits.
12 Operational Modes — Precision Safety for Every Context
SASI does not believe in "one-size-fits-all" safety. A classroom interaction requires a different governance framework than a clinical therapy session or a high-speed business bot. Our 12 operational modes allow developers to deploy the exact safety tier, PII redaction level, and crisis sensitivity required for their specific market. High-Assurance & Regulated Modes: For environments where compliance is the baseline, SASI provides maximum sensitivity and hard safety enforcement. Balanced & Performance Modes: For general applications where speed and user experience are as critical as safety. The Governance Difference: Audit & Accountability: Every mode is supported by a Canonical Evidence Model that generates a 7-year audit trail for regulated industries.
Child
Designed for platforms like Roblox or Epic!, featuring COPPA-compliant safety envelopes and parent alert flags.
Patient & Therapist
HIPAA-ready modes with maximum PII redaction and clinical therapy envelopes.
HR & Recruiting
Built for platforms like Workday, featuring dedicated bias flags and EEOC-compliant audit trails.
Student
FERPA-aligned educational safety that monitors academic concerns without over-refusing normal distress.
Default & General Assistant:
Balanced 0.87 crisis thresholds for standard AI applications and companion bots
Wellness & Career Coaching
Standardized safety for tools like Headspace or LinkedIn, focusing on tone shifts and boundary erosion.
Business & Sports Coaching
Turbo-tier performance with low-latency, rule-based enforcement and injury-specific flags.
The Developer Experience — From SDK to Production in 4 Hours
SASI is built by developers, for developers. We’ve eliminated the friction of AI safety by providing a lightweight, model-agnostic SDK that integrates directly into your existing application stack. There is no need to retrain your models, rewrite your prompts, or re-architect your backend.
Integration Simplicity
- Rapid Deployment: Most developers move from installation to a production-ready safety layer in 2 to 4 hours.
- No Model Retraining: SASI sits in front of the LLM as a middleware "airlock," meaning you keep your existing model performance while gaining enterprise-grade governance.
- Model & Cloud Agnostic: Seamlessly switch between OpenAI, Anthropic, Llama, or hybrid stacks without changing your safety logic.
Built-in Developer Tools
- Certified Context Injection: Automatically injects mode-aware customized safety hints to guide LLM behavior without manual prompt engineering.
- SASI Canary (Drift Monitor): Enterprise-level SLA feature that monitors model drift and alerts you if safety performance degrades by more than 10-20%.
- Standardized Result Schema: Receive structured metadata including ambiguity scores, uncertainty flags, and clear action rationales for every turn.
A Foundation for Growth
- Ablation Harness Framework: Use our built-in framework to test component removal and make data-driven decisions on system simplification.
- Opt-in Feature Wrappers: Easily enable advanced features like psychological exposure guardrails or response shape validation with first-class integration paths.
- Extensible Modules: Scale your application with optional add-on modules for advanced analytics, bias auditing, and clinical validation.
Proven in the Sandbox — Real-World Stress Testing
We don’t just claim SASI is safe; we prove it in high-stakes environments. SASI currently powers several live applications that serve as production sandboxes for our middleware, demonstrating how the system handles complex emotional trajectories and rigorous safety requirements. These platforms provide the real-world data that hardens our architecture for the B2B marketplace.
Our Live Validation Environments
Bibbit.ai (Child-Facing): A dedicated sandbox for the most vulnerable users, validating SASI’s ability to maintain maximum safety, age-appropriateness, and COPPA-aligned governance.
MyTrusted.ai (Adult-Focused): A mission-driven application designed to test deep, long-term user trajectories and complex risk momentum in adult contexts.
See how SASI‑protected models perform in our blind, multi‑round safety and quality testing.
Benchmarked for Defensibility
Beyond our own applications, we utilize these sandboxes to conduct multi-round benchmarking of over 20 mental-health chatbots. This allows us to:
Generate Comparative Evidence: We see exactly how different LLMs behave under stress compared to a SASI-protected stack.
Refine the MDTSAS Engine: Continuous data from these environments allows us to tune our 6-dimension scoring and 13 symbolic operators for maximum precision.
Prove Regulatory Readiness: The audit trails generated by these sandboxes are built to the same standards required for the FDA TEMPO Pilot program.
Introducing Our Development Leaders
Stephen Calhoun - CEO
A seasoned technology leader with 35+ years of multidisciplinary experience—now focused on the evolving intersection of AI, infrastructure, and human-centered design.
Ishak Kang - COO
I support Mentra’s growth by translating complex AI and healthcare technology into clear, strategic value, grounded in decades of systems thinking, ethical design, and scalable innovation.
Ifeoma Ilechukwu - Governance
My services help to build a comprehensive AI Governance Framework and set of policies that demonstrate fairness, transparency, accountability and earn the trust of your users. I also help facilitate stakeholder engagement so that everyone involved is aligned with the companies goals.
Meet Our Expert Advisors
Christina Solak
Christina began her career in mental health as a licensed clinical professional counselor in private practice. She also served as an Emergency Clinical Consultant to Boston Regional Medical CenterChristina received her Masters of Science in Nursing from Purdue University in 2021. Christina is now a Certified Family Nurse Practitioner with a specialty in Primary Care. And she is a published author, with two wonderful books about her struggle dealing with Bi-Polar Disorder.
Tim Heath
Dr. Tim Heath, D.C., MBA, CCEP helps people regain their life and functionality. He used innovative and non-invasive techniques like functional neurology and postural neurology to make lasting impacts so that you can be your best self. Dr. Tim graduated from the Life Chiropractic College West in Hayward, California with a strong curriculum of more than 2400 post-graduate hours in anatomy, physiology, functional biomechanics, radiology, orthopedics, clinical diagnosis.
Taitten Cowan
Taitten Cowan is a consultant to SASI and its first angel investor, bringing early conviction alongside his entrepreneurial and community focused background. A former Pro surfer, Cowan brings a perspective rooted in community engagement and practical leadership. He is partnered with Jasna Cowan, the founder of Speech Goals Speech Therapy Inc, a peninsula-area practice dedicated to helping children overcome speech and language delays and developmental communication challenges.
Your AI Questions Clarified
What exactly are SASI apps?
MyTrusted.ai, Bibbit.ai and Mentra (coming soon) are apps using our SASI SDK or middleware to ensure safety between LLM's and users.
How are they different from ChatGPT or other AIs?
Most AIs only respond.
Our middleware, SASI, makes them reflect before they respond — aligning tone, values, and ethics so answers feel safer and steadier over time.
Can my child safely use Bibbit?
Yes. Bibbit is built with age-based modes (G, PG, Full), simple language, and symbolic safety layers. It avoids manipulative patterns, protects privacy, and keeps conversations gentle and supportive.
Will Mentra replace therapists?
No. Mentra supports professionals — it doesn’t replace them. It’s HIPAA-ready, values-aligned, and designed to strengthen therapeutic work, not compete with it.
Can I license or lease SASI middleware?
Yes. We offer SASI as a licensed middleware layer for startups, enterprises, and educators who want safe, symbolic grounding in their own AI systems.
Why a Public Benefit Corporation?
Because our mission is bigger than profit. As a PBC, TechViz is legally bound to prioritize AI safety, ethics, and public benefit alongside business growth.
Innovative Code for Modern Challenges
Everything is engineered to serve one purpose: Better conversations. Better outcomes. Safety first!
Innovative AI Solutions
Nestled in the heart of Truckee, CA, TechViz builds custom AI solutions for both families and businesses. Sales team located in San Jose, CA.
Whether you're exploring Bibbit for your child or Mentra for your executive team, our team of engineers, designers, and ethical thinkers is ready to help you build AI that aligns with your values.
