AI-assisted research you can trust, control, and keep.

100%
Human-led decisions
0
Data used to train models
Any LLM
Your provider, your choice

What is TAVA

TAVA is a research platform that works with the AI you already use, keeping your sources traceable, every decision human-led, and your work saved to build on.

Our approach

Trust. Control. Keep.

TAVA works with the AI you already use and keeps the human in charge. Everything below ladders back to those three promises.

Trust

The work holds up to scrutiny.

When a team researches together, TAVA shows who contributed what, so individual work stays visible, not just the group's final output.

Control

You decide how AI is used.

TAVA works within the AI policies you already have, so it doesn't become one more thing to manage.

Keep

Nothing you build disappears.

Research lives in searchable topics and projects, and it builds up over time instead of getting lost after a single session.

Who we serve

One platform, framed for who's asking.

University campus where institutions adopt TAVA for traceable, AI-assisted research
01
Institutions

A position you can defend

TAVA gives you a defensible, lasting record of how AI contributes to your institution's research, so you can bring the board a deliberate position, not a reaction.

Professor with college students in a lecture hall — faculty assessing human-led research
02
Faculty

See how students actually think

TAVA makes a student's research process visible, so faculty can see how they actually reason and model responsible AI use for the teachers they train.

University students collaborating on traceable research with sources they can cite
03
Students

A level starting point

Students at any level of AI experience can do competent, accountable work, so the focus stays on learning instead of wrestling with tools.

See how it works

You can see how the work comes together.

Not a black box that hands you an answer. A glass box where every step is visible.

Individual level
Private space to think

Every learner begins by constructing their own understanding. Through guided structure and support, individuals make sense of new concepts at their own level — building the foundation everything else rests on.

Researcher in a private workspace using TAVA for individual, traceable AI-assisted research
Team level
Shared space to build

Learning deepens when we bring our thinking into contact with others. Team members share, challenge, and integrate their perspectives — producing a richer, shared understanding that no single person could have reached alone.

University team in a shared workspace building collaborative, human-led research with TAVA
Institution
A lasting, traceable record to build upon

The final stage is where learning takes root. Individual insights and collective exploration become part of a lasting, traceable record — carried forward into practice, decision-making, and lasting memories.

Hand selecting a reference book from a library shelf, representing a lasting traceable research record institutions can cite and build on

The difference

Why institutions trust it.

Traced & credited

Sources that go into your work are traced to their origin and ready to cite, and contributions are credited to who made them.

Secure

No model trains on your data. FERPA and GDPR aligned, Azure tenant-bound, AES-256 encryption.

Governable

AI can suggest, organize, flag, and assist, but never initiate, conclude, or publish.

AI provider independent

Not tied to one AI provider. TAVA runs on the AI you already use.

Persistent

Topics, notes, projects, and documents are saved and easy to return to, so nothing disappears after a session.

Private by default

Your research stays private until you choose to share it, and it's saved as a searchable record you can return to.

“As universities adopt AI, the challenge is not simply deciding which tools to use, but establishing what role AI should play in teaching and learning. For research-based courses, TAVA offers compelling value: AI suggests, organizes, and assists, with students retaining initiative, judgment, and responsibility for their work. This balance brings AI into higher education and maintains students' critical judgment and academic integrity.”

Andrew Ting
Andrew Ting

Georgetown faculty for AI governance and entrepreneurship

The core principle

The human is always at the top.

AI can suggest, organize, flag, and assist, but never initiate, conclude, or publish. Human judgment holds every decision.

The decision hierarchy

The human on top
Initiates · decides · authors · submits
TAVA platform
Structures · traces · coordinates · surfaces
AI / LLM
Suggests · organizes · flags · assists
Your
data
stays
yours

Security

Built for procurement, not just pitch decks.

No model trains on your data. The controls your IT and legal teams ask for are built in, not bolted on.

01
FERPA and GDPR aligned
02
Zero training use, contractually
03
Azure tenant-bound hosting
04
Private and confidential research
05
AES-256 at rest, TLS 1.3 in transit
06
Role-gated access

Multilingual

Research in any language.
Traceability across every step.

Think, draft, and translate across dozens of languages without ever losing the trace of who said what. Authorship and citation hold across every transition.

A ⇄ 中

Shift easily between languages

Change language mid-project without breaking the research thread. Notes, sources, and contributions stay in sync through every step.

中 → A

Translate during research to clarify

Surface a foreign-language source and TAVA renders it inline alongside the original — no copy-paste detours, no lost context.

A · 中 · ع

Build in many languages

Draft, annotate, and discuss in whichever language each team member prefers. Collaboration doesn't require everyone to share one tongue.

⇒ A

Output in your preferred language

Collect inputs across many languages, deliver the final document in your preferred language. Change the output language whenever you need.

Get started

Put AI-assisted research on your terms.

One course, one semester, no cost. We're taking on a limited number of pilots this term.