JarvisX
Agentic Modernization Platform

Modernize the whole estate.Prove every line.

Conversion is becoming free. Proving it correct, governing it, and cutting it over safely is not. JarvisX runs the full journey — with agents doing the work and evidence proving it.

One journey, eight moves

The modernization spine

Every artifact travels the same governed path — you always know where you are and what’s been proven.

  1. Discover
    Map the whole estate + dependencies
  2. Assess
    Readiness, risk & wave plan
  3. Convert
    Deterministic-first, AI where needed
  4. Validate
    Run it, diff the rows
  5. Prove
    Adversarial + signed evidence
  6. Approve
    Human decision gate
  7. Cutover
    Authorized go-live
  8. Observe
    Post-cutover drift watch
Inside a single conversion

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.

Agents at work
live pipeline
  • Deterministic converter
    Queued
    queued
  • AI pass
    Queued
    queued
  • Execution validator
    Queued
    queued
  • Skeptic
    Queued
    queued
  • Evidence ledger
    Queued
    queued

Agents propose and verify. Humans approve every cutover — and the LLM never decides pass/fail.

The honest second axis

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.”

Validation depth
how deep the proof goes
  1. Declared
    A semantic contract exists
  2. Parsed
    Compiles in the target dialect
  3. Executed
    Actually ran — deployed AND runs
  4. Row-equivalent
    Source ≡ target on synthetic data
  5. Adversarially proven
    Held under edge-case data
  6. Proven on real dataconnected evidence
    Reconciled on your warehouse

Synthetic simulation is never presented as real-data reconciliation.

Why it’s different

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.

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.

Multi-source × multi-target Bring your own converter SOC 2 ready