Agent systems, not isolated answers.
We connect models, knowledge, tools and human decisions into repeatable operating workflows.

Keyvia connects agent orchestration, knowledge systems, evaluation and learning data—turning general AI capability into deployable, reviewable products that improve over time.
INTELLIGENCEWe do not rebuild foundation models. Keyvia focuses on the critical layer between models and real work: understanding context, orchestrating tasks, applying knowledge, verifying results and keeping professionals in control.
We connect models, knowledge, tools and human decisions into repeatable operating workflows.
Assessment signals become explainable learner profiles, adaptive practice and continuous improvement.
Educators and domain experts remain in control of high-impact outputs, policies and decisions.
Education is our first deployment vertical. Knowledge-service infrastructure is the larger direction.
See the architectureThe institutional and learner experiences share one knowledge, assessment and profile layer—so every real interaction can improve the next decision.
A reviewable AI workspace for educators, schools and learning organizations—turning repetitive academic tasks into structured, reusable workflows.
A continuous learning companion that connects original practice, error diagnosis, ability profiles and adaptive next steps.
Keyvia places model calls inside a complete operating context: every task has provenance, permissions, knowledge, evaluation criteria and human review points.
Educator workspace · learner coach · institutional tools
Routing · context · permissions · tool use · verification
Knowledge graph · rubrics · rules · evaluation engine
Signals · learner profiles · diagnosis · adaptive pathways
Multimodal models · domain data · security controls
Receive real taskINPUT
Orchestrate models & toolsROUTE
Apply knowledge & rulesGROUND
Evaluate & human reviewVERIFY
Deliver & update profileADAPT
Reduce repetitive preparation and feedback work while keeping every important output reviewable.
Move beyond answer checking with diagnosis, ability mapping and the next practice that matters.
Standardize high-frequency academic processes without losing institutional policy or professional judgment.
Structure domain knowledge into reusable agents, evaluations and accountable service workflows.
We design human oversight, output evaluation and purposeful data use into the product—not as an afterthought.
Educators and domain experts review high-impact outputs and retain final decision authority.
Workflows are tested against rubrics, rules and real operating conditions before broader deployment.
Data should serve a defined learning or workflow purpose, with access and retention kept intentional.
Humans remain responsible for consequential decisions.
HUMAN → SYSTEM → HUMANFrom education operations and commercialization to agent engineering and model evaluation, the team spans the capabilities needed to move applied AI into real settings.

A University of Toronto Linguistics Honours graduate and serial entrepreneur with experience scaling education operations, teams and commercialization. Jay leads company strategy, product direction, business development and industrialization.
University of Toronto · Honours BA, Linguistics
An Honours graduate in Computer Science and Statistics from the University of Toronto and a former member of the Quant Development team at Polar Asset Management Partners. Yanny leads AI architecture, agent systems and engineering execution.
University of Toronto · Honours BSc, Computer Science & Statistics
A Master of Data Science graduate from the University of British Columbia with a foundation in data analytics, machine learning and AI. Tiffany supports data analysis, model evaluation, learning-data processing and product testing.
University of British Columbia · Master of Data ScienceWe work with schools, learning organizations, technology partners and industry collaborators to explore real-world pilots and long-term partnerships.
Intelligence in Every Workflow.