Product Development

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Talentica > Enterprise > Product Development

Develop new products, add features, augment teams, and accelerate product roadmaps.

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The Problem

Product roadmaps can outpace engineering capacity

Enterprise product teams often manage new feature development, customer requirements, and product maintenance simultaneously. The rate at which internal capacity expands may not be the same as the roadmap. This gap becomes more crucial when initiatives require niche skills or parallel development. Product priorities can get delayed as a consequence, and moving new initiatives forward can become difficult without impacting existing commitments.

What we do

Move the product forward, five ways

Whether the priority is a new build, a stronger foundation, or room to grow, the work is the same: add capability without adding drag.

Take new product ideas from discovery through architecture, build, launch, and iteration.

Product discovery & validation
MVP design & build
Full-cycle product engineering
Technical architecture from scratch
Cross-platform product development
Design-to-launch execution
Product roadmap & iteration planning

Prepare products to support higher traffic, larger workloads, new regions, and growing customer demands.

Infrastructure scaling strategy
Performance optimization for growth
Multi-region & multi-tenant scaling
Load testing & capacity planning
Database & storage scaling
Auto-scaling & cost optimization
High-availability architecture

Add AI capabilities where they can improve the product experience, workflow, or business outcome.

AI feature scoping & prioritization
LLM-powered feature integration
Recommendation & personalization engines
Predictive analytics features
Natural language & conversational features
Computer vision feature development
AI feature testing & evaluation

Extend product teams with focused engineering capacity supported by AI across development, testing, and delivery.

Dedicated AI-augmented dev teams
AI-assisted code generation & review
AI-enhanced QA & testing pods
AI-driven DevOps & monitoring pods
Rapid prototyping pods with AI tooling
Cross-functional pods for AI feature delivery
Embedded pods for AI-first product teams

How we work

Product thinking meets engineering depth

We work as an extension of your team, and we own what it delivers.

Start with the outcome

We align product decisions with business goals, user needs, and measurable impact.

Understand the environment

We build around existing systems, workflows, data, security, and operating constraints.

Prioritize meaningful innovation

Our engineers add new capabilities when they improve the product, not just because the technology is new.

Innovate continuously

Engineers keep improving the product as customer needs, technology, and business priorities evolve.

Build for change

We use architectures that make future features, integrations, and scaling easier.

Measure what improves

Once deployed, we track adoption, experience, reliability, cost, and business outcomes.

Case Study

Products built, extended, and scaled

NLP & Text
Mining

Access-point faults caught before service drops

The problem

A self-driving wireless network needed to detect access point failures and fix them automatically, with anomalies predicted ahead of time rather than resolved through manual intervention.

What we built

Kernel log ingestion from wireless access points with key failure-indicator extraction
Classification models detecting known failure modes
Clustering for anomaly detection of unknown failure types
NLP over log text surfacing emerging issues early, with root cause isolation to the responsible component
A production detection pipeline supported by dedicated data and cloud engineering

Result

The system now covers 93% of known failures and 60% of combined known-and-unknown failures, detecting relevant issues within 2 hours and requiring minimal manual intervention.

Product
Engineering

Building a new product with an extended team

The problem

The in-house engineering team was fully occupied with the core gold-loan product, leaving no bandwidth to build the new product, which was an overdraft facility that allowed customers to pledge gold for an extended credit line. The idea needed to be validated in the market quickly.

What we built

An extended back-end team working directly alongside the in-house front-end developers, scoped against a CTO-agreed feature “freeze list”
An initial product with only the key features needed to test market impact, including interest calculation, partial gold release, and payment gateway integration
A fast-follow feature roadmap (cards, cashback, workflow upgrades) driven by customer feedback
Integration with multiple NBFC lenders’ Loan Management Systems, including multi-lender/single-loan handling

Result

We went from team formation to launch in 5 months, on schedule. Unique features expanded its market footprint and grew usage significantly, while simplified lender integration attracted NBFC partners to invest in the product.