Tessera's validation engine detects anomalies in realtime and prices the funding at risk — while AI agents keep the rules current with the state, build reports from a sentence, and make your entire district's data queryable in plain English.
District teams stitch together SIS exports, siloed tools, and tribal knowledge — and find out what's wrong only when the state flags it back.
Validation lives in spreadsheets, school by school. No single system watches the whole district in realtime.
Mistakes get caught after submission, when the state flags them back — with the deadline already bearing down.
State funding is calculated from certified data. A late or error-laden file puts real money for students at risk.
This is compliance when AI is the default: the rules maintain themselves, reports build themselves, and the data speaks plain English — while the AI stays data-blind and every action is audited.
AI agents constantly monitor CALPADS documentation for rule and calendar changes and push updates into the validation engine — so your compliance layer never silently goes stale.
The Report Builder is a real agent, not a form. It turns a sentence into a working report — and behind the scenes it dry-runs the result and fixes its own mistakes before you ever see it.
| School | EL students | Chronic rate |
|---|---|---|
| Cedar Valley HS | 38 | 14.2% |
| Jefferson MS | 21 | 11.7% |
| Lincoln ES | 9 | 8.3% |
Every CALPADS file — enrollment to discipline — joined, governed, and open to questions. Ask in plain English; get charts, tables, and metrics, with the exact definition of what ran shown before every answer.
The foundation is not AI. A deterministic validation engine sits on top of your compliance data and checks every record against CALPADS rules as it changes — zero AI in the pass/fail call.
Enrollment, demographics, programs, English learners, special education, discipline, attendance, CTE, and more — errors surface the moment they appear in your data, not after the state sends the file back.
Every error is priced. Tessera estimates the LCFF and categorical dollars a district could lose to unresolved anomalies — computed per error from state funding mechanics — so your team fixes what matters first.
Built for the strictest room in the district — where "trust us" isn't an answer. The guarantees are structural, not policies.
The agents see field names, code sets, and counts — never a student record. Every answer is validated before it touches data.
The validator is pure published-style rules. No model decides pass or fail — ever.
District staff see the district; school staff see only their school — enforced in the database on every query, export, and shared report.
Strictly read-only on student records. Teach the agent your district's terminology, set guardrails, and audit every action it takes.
Same starting data, a very different deadline. Here's the loop districts run today — and the one your agents run with Tessera.
A snapshot from one district's Fall 1 cycle with Tessera.
Tessera detecting anomalies in your own data, pricing the funding at risk, and building a report from a sentence — in a 30-minute walkthrough.
Tessera isn't booking demos just yet — we're building alongside a small group of pilot districts ahead of launch. If you'd like to be part of the pilot program, fill in the form and we'll reach out.