AI Reliability Infrastructure · WealthTech

Find the order failure
edge cases before
market open.

Upload your OpenAPI spec. In minutes, see which high-risk trading and settlement scenarios your system isn't testing — before real money moves.

📋
Upload OpenAPI Spec or paste endpoint
JSON · YAML · Postman Collection · Swagger 2.0 / 3.0
🔍 Run Free Reliability Scan 📞 Book Revenue Exposure Audit
Retry logic misfires under load Order status race conditions eMandate sequencing gaps Duplicate execution on gateway timeout Settlement callback never validated Partial fill inconsistencies untested Circuit breaker misconfigured in staging Price precision mismatch at 4th decimal Retry logic misfires under load Order status race conditions eMandate sequencing gaps Duplicate execution on gateway timeout Settlement callback never validated Partial fill inconsistencies untested Circuit breaker misconfigured in staging Price precision mismatch at 4th decimal
The Problem

Most WealthTech platforms monitor
failures after revenue is already leaking.

  • 📈Order volume spikes 3–5× at market open — your retry logic has never been tested at that load
  • 🔄Retry logic that works in staging misfires under real volume with concurrent requests
  • 🧩Settlement edge cases are architected but never actually modelled in test coverage
  • 🙈Engineering-induced failures are reported as "volatility" or "market conditions" — invisible until too late
  • 💸A 1–2% preventable spike in order failures = immediate, measurable fee revenue loss
  • 🚀Every release is a blind bet on production stability during the first market window

💰 Quick Revenue Math

Daily orders (avg platform)50,000
Avg fee per order₹8 – ₹25
1% order failure spike500 orders lost
Daily revenue at risk₹4,000 – ₹12,500
Monthly (22 trading days)₹88,000 – ₹2,75,000

⚡ Calculate your exposure

—
The 70% Insight

~60–70% of transaction failures are
engineering-induced. Not bank-side.

External infrastructure gets the blame. But most order-flow failures trace back to internal code — and that's the part you can actually fix.

Internal logic errors
42%
Timeout / retry misconfiguration
22%
Integration contract mismatches
16%
Validation logic gaps
8%
Bank / exchange side (true external)
12%

The 88% that is engineering-induced is preventable before release. Vellix models these failure scenarios systematically — before your code reaches production.

What We Check

Five reliability modules.
One revenue-protection framework.

Each module maps to a specific class of engineering-induced failure in trading and wealthtech systems.

MODULE 01
📊
Order Placement Risk
  • Invalid quantity edge cases
  • Partial fill inconsistencies
  • Price precision mismatches
  • Order status race conditions
  • Duplicate execution risks
MODULE 02
🔄
Retry & Timeout Reliability
  • Exponential backoff validation
  • Idempotency key enforcement
  • Double execution prevention
  • Gateway timeout simulation
  • Circuit breaker misconfiguration
MODULE 03
💳
Mandate & Payment Flow
  • eMandate execution sequencing
  • UPI intent failure handling
  • Wallet fallback logic
  • Settlement handoff validation
MODULE 04
🏦
Settlement & Reconciliation
  • Trade confirmation mismatch
  • Async callback validation gaps
  • Ledger update timing drift
  • Reversal flow inconsistencies
MODULE 05
🚀
Release Risk Modeling
  • Endpoint contract drift
  • Backward compatibility gaps
  • High-volume stress scenario mapping
  • Edge-case coverage score
BONUS
🎯
Revenue Exposure Dashboard
  • Engineering-induced failure risk score
  • Order flow coverage percentage
  • Retry logic risk index
  • Settlement consistency score
  • Live revenue exposure estimate
Output Metrics

Executive-ready reliability scores.
Not just test results.

⚠️
Engineering Failure Risk
62
Risk score / 100
📋
Order Flow Coverage
38%
Tested scenarios
🔁
Retry Logic Risk
HIGH
Index: 3 critical gaps
⚖️
Settlement Score
4.1
Out of 10
💸
Revenue Exposure
₹2.4L
Monthly at risk

💡 Connect Reliability → Revenue

Enter your platform's numbers. See what 1% order failure costs you every month.

Daily revenue at risk—
Monthly exposure (22 trading days)—
Annual revenue at risk—
The Solution

AI Reliability Infrastructure
for trading systems.

1
Scan
See what you're missing before release

Upload your OpenAPI spec or share an endpoint. Vellix detects which order failure scenarios your system isn't testing — with severity classification.

2
Model
Simulate release risk in high-volume windows

Vellix models how your retry logic, settlement flows, and edge cases perform under market-open load — before your code ships.

3
Prevent
Install guardrails before production

Get actionable test suites, remediation recommendations, and a release-gate framework that catches engineering-induced failures at CI/CD time.

See It Working

See your order failure exposure
in minutes.

Spec scanned in memory. Never stored. No account required for the free scan.

wealthtech.vellix.io/scan
📋

Drop your OpenAPI spec here or click to simulate a scan

Supports .yaml · .json · Swagger 2.0/3.0 · Postman collections

🔍 Run Reliability Scan

📊 Sample scan results — based on a trading platform OpenAPI spec

Risk Score
74/100
Order Coverage
31%
Retry Risk
HIGH
Settlement
5.2/10
Release Risk
CRITICAL
CRITICALDuplicate execution risk — POST /orders has no idempotency key enforcement. Under load, retry storms can create duplicate order submissions.
CRITICALSettlement callback gap — /settle endpoint has no async callback validation. Failed settlements go undetected for up to 24 hours.
WARNINGPartial fill untested — 0 test scenarios cover partial fills. At market open, partial fills account for ~18% of order volume.
WARNINGeMandate sequencing — No failure path modelled for eMandate timeout at step 3 of 5-step UPI flow.
INFOPrice precision — Detected float arithmetic in order quantity calculations. Mismatch risk at 4th decimal place for fractional units.
Book Full Audit → 📄 Download PDF Report
The Engagement

30–60 Day Trading
Reliability Sprint.

What You Get
Structured sprint. Clear deliverables. Measurable outcome.
  • Engineering-Induced Failure Audit across all 5 modules
  • Order Flow Risk Mapping — every critical path covered
  • Retry & Settlement Hardening — actionable fixes
  • Release Risk Modeling Framework — integrated into CI/CD
  • Revenue Exposure Dashboard — executive-ready reporting

Measured outcome: increased engineering-controlled transaction success rate — quantified against your platform's baseline before the sprint.

Investment
Custom for trading platforms

Scoped to your transaction volume, team size, and risk profile. Most platforms see full ROI within the first month of improved reliability.

Book 20-min Revenue Exposure Audit
No commitment · Just a conversation about your platform's risk
Social Proof

Built by engineers who know
what transaction failure costs.

"Identified a critical order-flow gap — duplicate execution on gateway retry — within the first week of the audit. We hadn't caught it in 8 months of production."
S
Senior Engineer
Mutual Fund Platform, 40,000+ daily orders
"We thought our retry logic was solid. The audit showed 3 scenarios where concurrent requests create phantom orders. Fixed before the next release cycle."
P
VP Engineering
Discount Brokerage Platform, NSE/BSE integrated
🏦

Worked on transaction systems at Paytm Money ($4B+ AUM), Snapdeal, and Paytm Insurance. Deep domain knowledge of Indian financial infrastructure — UPI, NACH, NSE, BSE, SEBI compliance requirements.

If your platform handles real money —
let's quantify your reliability exposure.

One conversation. No commitment. You'll leave with a clearer picture of where your order flow is vulnerable.

🔍 Run Free Reliability Scan 📞 Book Revenue Exposure Audit