Thunderbird / Arizona State UniversityDNAAI Negotiation PlatformAI Negotiation Platform
Voice-based negotiation practice and feedback for Thunderbird students.
TARIY’s role Full platform development from the ground up
06 — AI Training Platforms
Build a place to practice. Not just another chatbot.
Custom AI simulation and training platforms for education and leadership programs.
Discuss Your Training PlatformThe starting point
Who it’s for.
For education, executive learning, and training teams that need practice built around their program.
Learners need opportunities to rehearse a specific skill. Your platform needs a coherent scenario, usable interaction, and feedback that serves the learning objective.
How TARIY helps
We connect product discovery, experience design, and engineering. Thunderbird's Digital Negotiation Assistant and SMART Flex show our work in AI practice and education software modernization.
Scope & investment
Typical engagements: $20,000–$80,000
Scope determines the estimate: user workflows, integrations, AI evaluation, and what needs to be ready for launch.
Define the release
Agree on users, the problem, and what the first release must do.
Design and build
Review the experience and working software in stages.
Validate and hand over
Check the real workflow, failure cases, and the team's ability to maintain it.
What we deliver.
01
Training use-case and product discovery
02
Voice or text simulation experiences
03
AI-assisted feedback and dashboards
04
Learner and program interfaces
05
Data and platform integrations
06
Evaluation, launch, and handover planning
Project goals
Create repeatable practiceConnect feedback to the exerciseSupport a focused first releaseDesign for learners and program teamsRelevant work.
View All WorkThunderbird / Arizona State UniversityDNAAI Negotiation Platform
SMART Flex
A legacy platform update for SMART’s education software.
TARIY’s role Legacy software update & modernization
Before we begin
Common questions.
Have you built an AI training platform?
Yes. TARIY built the Digital Negotiation Assistant for Thunderbird at Arizona State University. ASU News describes the voice-based practice, feedback, and partnership; the case study links to that independent feature.
Can the platform fit our own curriculum?
We start with your users, learning objectives, scenarios, and evaluation needs. Your subject-matter team defines the teaching content; we scope the product and engineering work around it.
How do we evaluate whether it works?
Agree on what useful practice and feedback look like, then test realistic exercises with the program team. Learning outcomes require their own evaluation; a working interface alone does not prove educational impact.
Do we need a full platform immediately?
Not always. A focused exercise or pilot can clarify requirements before a larger release. We agree on the scope and cost after reviewing your program and integrations.
What does custom software cost?
Our software and AI engagements typically range from $20,000 to $80,000. A focused first release and a platform with several integrations have different scopes. We review the requirements before quoting.
How long does a project take?
We estimate the timeline after reviewing scope, integrations, data access, and your team's availability. We agree on milestones before the build; a demo is not a substitute for a tested release.
Who owns and maintains the software?
We agree on code ownership, account access, documentation, and handover in the project scope. Third-party services have their own licenses and running costs. Ongoing maintenance is scoped separately.
Start a conversation
What do you want to build or improve?
A 30-minute conversation about your goal, project fit, and next step.
Book a project fit call (opens in a new tab)