Runtime Governance Engine for Salesforce

Stop Salesforce
Rollbacks Before
They Hit Production.

Traditional UI tests check if buttons click. Static scanners guess if your code works. Jataka physically executes your PRs in a Sandbox, profiles your Apex Debug Logs, and automatically blocks deployments that breach Governor Limits.

Works seamlessly as a Quality Gate for
CopadoGearsetGitHubBitbucketAppExchange
The Status Quo is Broken
75%

Code Coverage
is an Illusion.

Your tests are passing. Your architecture is bleeding. Here is exactly how.

01 — Scanner

Static Scanners
Only Guess

Tools like SonarQube and PMD read text. They cannot calculate runtime execution paths, hidden loops, or trigger-chains hidden inside managed packages.

02 — UI Testing

UI Testing
is Blind

Selenium and standard QA bots only test the screen. If a user clicks a button and your code consumes 99 out of 100 SOQL queries, the UI test passes. But your architecture is bleeding.

03 — The Result

101 SOQL
Errors

Your tests pass, Copado deploys the code, a real user clicks the button with slightly heavier data, the Governor Limit breaks, and your entire Org crashes.

96/100
SOQL Queries consumed
in a "passing" test
0ms
Warning time before
Governor Limit crash
100%
Of limit breaches
that were preventable
$0
Revenue earned
during an Org outage
Core Capabilities

The First Autonomous Runtime
Governance Engine for Salesforce.

The Wedge

Automated Governor
Limit Profiling

We don't just test the frontend illusion; we test the backend truth. When a developer opens a PR, Jataka executes the business process in an isolated Sandbox. We dynamically pull the Tooling API to measure the exact Governor Limits consumed. If a PR hits 90% of your SOQL limits, we block the deployment.

BEFORE IT HITS PRODUCTION

jataka-bot / PR #247 — feature/convert-lead-flow
Jataka Quality Gate — BLOCKED
UI Test: ✅ PASSED | Runtime Governance: ❌ FAILED
SOQL Query Limit96 / 100 (96%)
Blocked: UI Test Passed, but execution consumed 96/100 SOQL queries.
Root cause: N+1 loop in LeadConversionService.cls line 84.

AI-Powered Root
Cause Analysis

Reading a 20MB Apex Debug Log is a nightmare. Jataka's AI does it in milliseconds. If a limit is breached, our AI pinpoints the exact line causing the N+1 loop, explains the trigger chain, and posts the bulkified code fix directly as a comment on the GitHub PR.

Hybrid SOQL
Assertions

We don't trust the UI. After Jataka clicks "Convert Lead" on the screen, our engine automatically executes a REST SOQL query to verify that asynchronous @future methods and background jobsactually updated the database correctly.

Zero-Maintenance
Contextual Testing

Stop writing brittle test scripts. Connect Jataka to your Org and we ingest your entire schema into our Neo4j Graph Database. When a Jira ticket is opened, Jataka understands the blast radius and autonomously generates robust JSON test suites that self-heal when admins change page layouts.

Salesforce is the hardest
fortress on Earth.

WE BROKE IT.
WE NOW OWN IT.

Integration

Plugs Directly Into
Your Existing Pipeline.

No rip-and-replace. Works natively with Copado, Gearset, and GitHub Actions as a Quality Gate.

01
Trigger

Code is Pushed

Developer opens a PR in GitHub or initiates a deployment in Copado.

02
Intercept

Jataka Intercepts

As a native Quality Gate, Jataka triggers an isolated "Kamikaze" Kubernetes Pod to run the test in a Sandbox.

03
Profile

Runtime Profiling

Jataka correlates UI actions with the Salesforce Tooling API to count limits and measure latency.

04
Verdict

Pass or Block

Safe code gets merged. Limit-breaching code gets blocked with an AI-generated fix sent back to the developer.

Developer Tools

The Ultimate Salesforce Co-Pilot
for Your IDE and Slack.

Because Jataka maps your entire Salesforce architecture into a Graph Database, we know your specific Org better than any generic AI model.

IDE Context (MCP)

Pipe your proprietary Salesforce data model directly into Cursor. Write Apex that actually understands your custom objects, field relationships, and validation rules — not generic boilerplate.

Senior Deflection in Slack

Junior developers stuck on an error? They ask the Jataka Slack bot. It analyzes your Org's architecture and historic Jira tickets to give the right answer, protecting your Senior Architects' time.

JATAKA IS THE OPERATING SYSTEM

Making enterprises autonomous. The chaos is over. When your entire Salesforce architecture lives in a Knowledge Graph, every tool — your IDE, your CI/CD, your Slack — gets smarter with every deployment.

JATAKA
ENDS IT
We do not watch the agents.
We command them.
Highest-Value IP

The Autonomous SDLC.

Jataka doesn't just wait for pull requests. It manages the entire lifecycle.

📋
Step 1

Intent (Jira)

Jataka reads the Jira ticket and updates the Neo4j graph with the business intent. Your feature requirements become structured context.

⌨️
Step 2

Code (Cursor)

Through our MCP, your developer asks Cursor how to build the feature. Jataka feeds Cursor the exact blast radius and safe code patterns.

🔍
Step 3

Verify (GitHub)

The developer opens a PR. Jataka's API Firewall and Kamikaze Pods test the limits and the UI automatically.

Step 4

Resolve (Jira)

If limits breach, Jataka sends feedback back to Cursor. If it passes, Jataka updates the Jira ticket to "Ready for Deployment" with attached video proof.

The Result

Your developers stay in their IDE. Jataka handles the orchestration, the testing, and the ticket management. This closed loop — Jira to Cursor to GitHub to Jataka back to Jira — is your highest-value intellectual property. You aren't just catching limits; you are automating the entire Software Development Life Cycle.

See Full Use Case →
Closed Loop● Active
📋
Jira
⌨️
Cursor
🔍
GitHub
J
Jataka
Zero Deployment Rollbacks

Don't Let Invisible
Limits Crash
Your Revenue.

Join the top-tier Salesforce teams who trust Jataka to guarantee zero deployment rollbacks.