T
Trustworthiness
Separate generated interpretation from attributable support and keep weak evidence visible.
BRAG · provenance · uncertainty · abstention
TERA Governed
Profile B · Supervised Automation
Generative AI Engineering & Assurance
Generative AI, governed by TERA.
TeraSystemsAI integrates generative AI into workflows where evidence, human authority, reliability, and accountability matter. The model is a capability inside the system, not the authority over it.
Capable Without AI, Stronger With It.
Model-agnostic · Evidence-aware · Human-authorized · Deployment-conscious
The TERA operating model
TERA is the system boundary.
TERA is not a decorative label. It defines how generative AI is selected, constrained, evaluated, deployed, and reviewed.
E
Efficiency
Use the smallest appropriate model, context, and automation level for the task.
fit-for-purpose models · controlled context · cost disciplineR
Reliability
Define failure behavior early and preserve continuity when the model, provider, or evidence fails.
versioning · regression tests · fallback · recoveryA
Accountability
Keep consequential authority explicit and retain the records needed to reconstruct material actions.
human authority · policy gates · audit events · release recordsTERA architecture
Human-capable baseline. AI augmentation. Evidence gate. Authority.
Capable Without AI, Stronger With It is implemented as a system rule. Essential evidence and authority do not disappear when generative AI is added.
01 · Baseline
Human-Capable System
Original evidence remains accessible, critical actions remain explicit, and fallback behavior is defined.
02 · Assist
Generative AI
The selected model drafts, summarizes, extracts, compares, codes, or interprets within a defined task boundary.
03 · Evidence
BRAG
Bayesian Retrieval-Augmented Generation is the TeraSystemsAI research foundation for evidence-sensitive retrieval, uncertainty, and abstention.
04 · Authority
Review & Record
Policy gates determine whether the output proceeds, abstains, escalates, or requires authorized human action.
Supported
Partially Supported
Conflicting Evidence
Insufficient Evidence
Generated · Not Evidence-Backed
BRAG is a research foundation for the evidence layer. Not every generative workflow requires retrieval.
Defined product boundary
A governed integration layer, not a frontier-model claim.
TERA Generative AI can work with appropriate commercial, open-weight, local, or specialized models. Model choice remains an engineering decision governed by security, privacy, evidence, reliability, cost, and task requirements.
Text and knowledge
Documents
Code assistance
Multimodal workflows
Structured outputs
API integration
BRAG research paper · June 2026 →
Deployment Profile B
Supervised Automation
AI may prepare an action, but consequential authority remains separately defined. Review, abstention, or escalation can be required according to the workflow.
- Evidence and limitations are visible where applicable.
- Policy gates determine whether the workflow can proceed.
- Authorized people or institutions retain defined approval and release authority.
- Material model, control, and review events can be recorded.
Ready for the next product stage
Research → pilot → governed operation.
The page is intentionally compact. It keeps the public message clear while leaving a direct path for product development.
DefineTask boundary, evidence requirement, authority, privacy, and non-AI baseline.
EvaluateCapability, evidence behavior, robustness, failure handling, and human review.
PromoteOnly validated configurations move into governed operation with versioned controls.
Work with TeraSystemsAI
Build stronger systems with AI, without surrendering control to AI.
Discuss a scoped pilot, technical assessment, research collaboration, or enterprise integration under TERA.