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Contacts

Adambakkam
Chennai 6000088
Tamil Nadu, India

+(91) 7 66 00 11 22 8
+ (971) 52 250 2345

contact@neureliclabs.com

Custom Development

Building Exactly What You Need — Selectively and Strategically

At Neurelic Labs, our Select Custom Development service is designed for clients who have a specific fintech or trading module in mind — whether it’s an order execution tool, strategy builder, dashboard interface, or integration layer. We selectively take on high-impact, scoped projects that align with our domain expertise in capital markets, algo infrastructure, and data intelligence.

We bring speed, precision, and depth — without the overhead of generic development cycles.

Learn Learn

Select Custom Development is your fast lane to building specialized modules that don’t exist off-the-shelf — while leveraging our existing framework, libraries, and fintech expertise.

Instead of starting from scratch, we customize, extend, or optimize components around core trading, analytics, compliance, or automation use cases. From brokerage portals to internal dashboards and custom trading plugins — we bring your idea to life, fast and clean.

  • Custom trading & execution widgets

  • Strategy input interfaces & testing modules

  • Trade reconciliation or visualization dashboards

  • Broker API integration wrappers

  • Signal bridges (e.g., TradingView to broker)

how it worksKnow About Custom Development at NeuRelic Labs

This service is focused on scoped modules, not full-scale product builds. It’s ideal for clients who want to build only a feature, integration, or component—not an entire platform.

We start with a brief + workshop → create a build spec → agree on sprint-based delivery timeline → provide versioned testable outputs with proper handover or hosting options.

We define a base scope with buffer rounds for UX, QA, and logic improvements. Major changes beyond scope are handled under additional support or retainer.

We offer flexible IP arrangements — you own it fully, or we license it (if built on our internal tech stack) depending on the use case.