Prove your migration is correctbefore you cut over.
Independent, credential-free proof that your converted SQL returns the same rows as the source — no production access, no warehouse credentials. Certifies output from SnowConvert, Databricks, BigQuery, a raw LLM, or a human. The one thing the tool that did your conversion can’t do — grade its own homework.
No signup · no production access · no warehouse credentials · nothing leaves your boundary · runs in seconds.
The modernization spine
Every artifact travels the same governed path — you always know where you are and what’s been proven.
- DiscoverMap the whole estate + dependencies
- AssessReadiness, risk & wave plan
- ConvertDeterministic-first, AI where needed
- ValidateRun it, diff the rows
- ProveAdversarial + signed evidence
- ApproveHuman decision gate
- CutoverAuthorized go-live
- ObservePost-cutover drift watch
See the agents work
A conversion isn’t one call to a model. It’s a pipeline of specialists — a deterministic converter, an AI pass for the hard parts, an execution validator, a Skeptic that tries to refute the result, and an evidence ledger that signs the verdict.
- Deterministic converterQueuedqueued
- AI passQueuedqueued
- Execution validatorQueuedqueued
- SkepticQueuedqueued
- Evidence ledgerQueuedqueued
Agents propose and verify. Humans approve every cutover — and the LLM never decides pass/fail.
Proof, not a score
A 90% headline means nothing if it only compiled. We show exactly how deep the proof goes — from “it parses” to “it ran and matched rows” to “it held under adversarial data.”
- DeclaredA semantic contract exists
- ParsedCompiles in the target dialect
- ExecutedActually ran — deployed AND runs
- Row-equivalentSource ≡ target on synthetic data
- Adversarially provenHeld under edge-case data
- Proven on real dataconnected evidenceReconciled on your warehouse
Synthetic simulation is never presented as real-data reconciliation.
Built for assurance, not output
Whole-estate, not one file
We map every table, view, proc and pipeline into one dependency graph with a provable build order — then migrate in waves.
Deterministic-first, AI where it counts
Grammar-level conversion handles the bulk with zero LLM. The model is a pass for the long tail, not the whole story.
Proven, not promised
Every conversion runs against a fixture, is row-diffed, survives an adversarial Skeptic, and is signed into a tamper-evident ledger.
Governed by humans
Agents propose; a person approves every cutover. The LLM never decides pass/fail. Read-only by default.
Query, code, ETL, schema, lineage and risk conversion are all included at no charge. They feed one thing: the signed proof that the migration is correct.
JarvisQuery
JarvisCode
JarvisFlow
JarvisSchema
JarvisGraph
JarvisRisk
JarvisDataQuestions, answered
Start with a map of what you have.
Point JarvisX at your estate for a readiness & evidence assessment — source-only, no production data. See the waves, the risk, and the proof plan before you migrate a line.