Rubric-aligned
Every score traces back to a real descriptor. No black-box grading, no invented criteria.
EthosSyntax designs AI learning products and the systems behind them for the moments where getting it right matters most. Licensing exams. Immigration tests. Certifications. We pair realistic practice with feedback you can actually act on.
Abhyas, CELPIP practice, plus one more in design.
CLB, CEFR, IRAC, and USMLE-style descriptors.
Canada, India, the Philippines, and the Gulf.
A Toronto studio building accountable AI for learning, where every score traces back to a real descriptor and every suggestion tells you what to do next.
Read our principlesWe build to one standard. If the feedback does not tell a learner exactly what to do differently next time, it is not useful, and we do not ship it.
Every score traces back to a real descriptor. No black-box grading, no invented criteria.
Feedback says what to change next time, not just what went wrong this time.
Built to lower stress under pressure, not add to it. Quiet typography, honest pacing, human voice.
Decisions tied to learner outcomes and rubric data, never empty engagement dashboards.
We design focused practice platforms with realistic tasks, AI feedback, and progress tracking. Here is what is available today.
CELPIP practice and AI feedback.
Real exam-style CELPIP practice with mock tests, AI-graded responses, and a study plan that targets exactly what is holding your band back.
The same loop runs across every skill we teach: do the work under real conditions, see exactly where you stand, and know what to practice next.
Authentic prompts, real timing, and a focused screen that mirrors the actual test, so practice transfers to test day.
AI grades each response against official descriptors, with per-dimension scores and specific suggestions you can act on.
Scores, trends, and weak areas are tracked across every skill, so each session targets what is holding your band back.
We work with educational institutions, testing organizations, and EdTech teams to design, build, and integrate AI-powered learning systems.
We design feedback that maps to your rubric, descriptors, and scoring framework, so every score can be traced back to a source.
End-to-end practice environments: timed sessions, auto-grading, progress tracking, and study plans.
Connect AI scoring to your existing LMS or assessment platform with clean APIs and batch evaluation.
Product and technical guidance for teams building AI-first education tools, from architecture to feedback design.
Licensing exams, immigration language tests, professional certifications: these are high-stakes, high-stress, and deeply personal.
We are a small studio with a clear opinion: feedback should be useful, scoring should be traceable, and practice for a test you have been dreading should feel less lonely, not more.
That belief shapes every product we ship and every system we build for clients. We would rather over-explain a score than impress you with a number.
Built in Toronto by a team who have shipped learning tools for over a decade. Quietly. Carefully. With the receipts.
Get in touchIf we would not ship it under our name, we do not ship it under yours.
If a learner asks why they got a 7, they should get a real answer.
No streaks, no badges, no late-night push notifications.
Every grade has a trail. Every model decision has a descriptor.
Whether you are a learner looking for a better way to prepare, or a team building something serious in education, we would love to hear what you are working on.