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TERA · Trustworthiness · Efficiency · Reliability · Accountability

Engineering Trustworthy Systems
for Consequential Decisions

Independent research and engineering across trustworthy AI, applied mathematics, safety engineering, and evidence-governed software.

Explore Our Work AI Risk & Governance
Capable Without AI, Stronger With It.

We use AI where it adds measurable value while preserving explicit human authority, evidence, and accountability boundaries.

Explore the book →
Research

Applied mathematics, evaluation, and scientific methods

Engineering

Evidence-governed systems and research platforms

Assurance

Independent AI risk and deployment-readiness review

Research · Applied Mathematics · AI Assurance · Evidence-Governed Software · Scientific Systems

Systems & Assurance

What We Build and Evaluate

Systems, research platforms, and independent assurance work for domains where evidence quality, reliability, and accountability matter.

Generative AI Risk Audit →

Independent pre-deployment evaluation for LLMs and foundation models operating in regulated or liability-bearing environments.

  • Hallucination rate measurement and bias assessment
  • Compliance gap analysis against regulatory requirements
  • Explicit failure mode documentation
  • Board-ready risk evidence package
Healthcare AI Evaluation →

Pre-deployment safety reviews for clinical AI systems where misclassification carries direct patient risk.

  • FDA alignment and adverse event analysis
  • Clinical validation and uncertainty quantification
  • Liability boundary documentation
  • Deployment readiness assessment
TERA Signature & TrustPDF →

Human-controlled document signing and evidence workflows with TERA Evidence Seal support and TrustPDF integrity verification.

  • Multi-party signature workflows with explicit human consent
  • Evidence timeline and event-chain integrity
  • TERA Evidence Seal for completed evidence packages
  • TrustPDF verification of document and signature evidence
NLP Platform →

Explainable natural language processing with uncertainty quantification designed for high-stakes text classification.

  • Task-specific uncertainty reporting
  • Feature attribution and explanation outputs
  • Regulatory-grade classification documentation
  • Dataset-aware validation protocols
TEI · Environmental Intelligence →

Deterministic PM2.5 episode interpretation built on EPA-certified monitoring data. No ML models. Principled abstention when evidence is insufficient.

  • 116 episodes interpreted across 4 years of EPA data
  • 22% principled abstention rate. The system refuses to guess
  • Environmental Concordance Framework (ECF) engine
  • Open platform, publicly accessible
 Recommended first step Request a Pre-Deployment Audit Fixed scope · 2–4 weeks · Board-ready evidence. Independent assessment of whether your AI system is defensible for deployment. Start Audit Scoping →
Service Parameters
What to expect from our engagements
Independent
Perspective
and Judgment
Board
Ready
Documentation
2–4
Week Audit
Turnaround
Explicit
Uncertainty
Analysis

Professional ServicesIndependent audit engagements for regulated and high-stakes AI systems

View All Services →
Most organizations should begin with a Launch Decision Audit. Retainers and advisory work begin only after deployment readiness has been independently assessed.
Recommended first step

Launch Decision Audit

Independent pre-deployment risk review for regulated or high-stakes AI systems.

Fixed scope · 2–4 weeks · $15,000–$40,000
Who this is for

Regulated startups preparing for first deployment. Enterprise AI teams seeking formal deployment approval. Boards and executives requiring independent third-party risk review.

This audit is the first control for high-stakes AI deployment decisions. We do not optimize models. We determine whether deployment is defensible.

Expected outcome

A documented go, conditional-go, or no-go deployment recommendation supported by explicit risk controls and audit-ready evidence for regulators, auditors, boards, and investors.

Currently scheduling select independent audit engagements

Request Audit Scope
Paid diagnostic · 30-minute scoping call
Typical response within 1 business day
Review Case Studies
Process

How an Engagement Works

A fixed-scope audit from first contact to board-ready evidence in three steps.

1

Scoping Call

30-minute paid diagnostic. We define the system boundary, risk exposure, and what a defensible deployment decision requires for your context.

2

Independent Audit

2–4 week fixed-scope review. Risk identification, uncertainty quantification, control mapping, and explicit documentation of failure modes.

3

Deployment Decision

A documented go, conditional-go, or no-go recommendation with audit-ready evidence for regulators, boards, investors, and procurement teams, with conditions and unresolved risks stated explicitly.

Start with a Scoping Call →

When Independent Review Becomes Necessary

Independent review is designed for regulated and high-stakes AI systems where accountability, evidence, and deployment risk matter.

When to engage us

An AI system is approaching deployment in a regulated environment

A board or executive committee requires independent risk validation

A contract, partnership, or procurement process requires accountability evidence

A regulator, auditor, or investor asks who is accountable for the system and its outcomes

An internal team cannot confidently explain what happens if the model is wrong

Why this matters: If AI decisions affect safety, liability, or regulatory exposure, delaying independent review increases organizational risk.

Research & Engineering

Disciplines Behind the Work

Core mathematical, evaluation, systems, and inspection methods used to build and assess trustworthy systems across research, software, and AI assurance.

Explore Research & Methods →
01 Mathematics & Statistics

Mathematical & Statistical Methods

Bayesian reasoning, causal analysis, uncertainty quantification, and mathematical diagnostics for systems that must justify their outputs.

Review Publications →
02 Evaluation & Reliability

Reliability & Evaluation

Calibration, failure-mode analysis, data-quality assessment, robustness testing, and explicit evaluation boundaries for consequential systems.

Review Evaluation Work →
03 Systems Engineering

Evidence-Governed Systems

Research prototypes and operational systems designed around traceability, reproducibility, bounded claims, and explicit human authority.

Explore Systems →
04 Inspection & Explanation

Interpretability & Inspection

Attribution, trace analysis, counterfactual methods, and explanation techniques that make model behavior more inspectable without treating explanations as proof.

Review Interpretability Work →
Document Assurance Platform

TERA SignatureTERA Evidence Seal + TrustPDF Verification

A human-controlled signing workflow designed to preserve who signed, when they signed, what document was signed, and the evidence attached to the completed process.

Core signing and verification remain evidence-governed and human-controlled. AI is optional, not required for the assurance path.

Open TERA Signature → Verify with TrustPDF
01 · Prepare & Sign

TERA Signature

Create a controlled request, invite participants, record signatures, and preserve the evidence timeline.

02 · Complete Evidence

TERA Evidence Seal

Complete the evidence package after the signing workflow and final human review.

03 · Verify

TrustPDF

Verify document integrity, evidence integrity, event-chain integrity, and recorded signature evidence.

Math Education Platform

Tera Math ScholarGraduate Mathematics

A bilingual English/French platform for rigorous advanced mathematics, combining structured theory, proofs, visualizations, exercises, and research pathways.

Capable Without AI,Stronger With It.

Mathematical reasoning remains primary. AI can support learning where it adds measurable value without replacing proof, understanding, or human judgment.

Explore the book behind the philosophy →
Open Tera Math Scholar →

Advanced Mathematics Curriculum

EN · FR

Foundations of Advanced Analysis

General Topology / Topologie Générale Measure Theory and Integration

Core Analysis

Distribution Theory Complex Analysis Functional Analysis

Applied Analysis

Fourier Analysis Sobolev Spaces and PDEs
The TERA Framework

Trustworthiness. Efficiency.
Reliability. Accountability.

TERA is the operating foundation for how TeraSystemsAI researches, builds, evaluates, and communicates consequential systems.

  • Trustworthiness: claims remain tied to evidence, assumptions, provenance, and limitations.
  • Efficiency: complexity is justified by measurable value rather than added for its own sake.
  • Reliability: systems are designed around reproducibility, defined operating boundaries, and observable failure modes.
  • Accountability: human authority, responsibility, and decision ownership remain explicit.

Capable Without AI, Stronger With It.

AI is a tool within the system, not a substitute for evidence, mathematics, engineering judgment, or accountable human decisions.

Read the book →
Bright modern office interior with clean lines, glass partitions, and natural light
Enterprise audit checklist review: professionals examining compliance documents in a formal boardroom setting

Regulatory defensibility is built before deployment, not after.

Fixed-scope audits with documented evidence for boards, regulators, and investors.

Partnerships & Research Funding

Advance evidence-governed systems from research to responsible real-world use.

TeraSystemsAI LLC welcomes research funding, institutional partnerships, sponsored research, and controlled pilot collaborations to advance validated research and engineered systems toward independently evaluated, production-ready applications.

Support can accelerate external validation, reproducibility studies, engineering, security, governance, and carefully scoped real-world evaluation.

Research funding Institutional partnerships Sponsored research Controlled pilots
Discuss a Partnership →

Prepare Your AI for Regulatory
& Board Review

Fixed-scope AI risk audits and independent oversight for high-stakes deployments.

See Launch Decision Audit → View Accountability Framework
Independent · Fixed-scope · Board-safe · Regulator-ready