Architecture Audit
Independent frontend architecture audit covering scalability, technical debt, performance, delivery risks and a prioritized modernization roadmap.
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Engineering • Analytics • AI Integration
Build. Understand. Automate.
Iqlyte helps teams build scalable digital systems, understand what their data is telling them, and integrate AI into existing workflows to solve meaningful business problems.
Frontend ArchitectureAnalytics & InsightsAI Opportunity DiscoveryAI Integration
Engineering, analytics & AI advisory
Solve the business problem across systems, data and workflows.
Iqlyte brings together frontend engineering, digital analytics and problem-led AI integration. We help teams establish scalable technical foundations, create meaningful measurement, and introduce AI where it can improve a real workflow—not simply add another disconnected tool.
For non-technical founders
You bring the idea. We help you make the technical decisions.
Founder Technology Advisory gives early-stage founders experienced technical leadership from idea and MVP definition through architecture, delivery oversight, launch and scale—without requiring a full-time CTO on day one.
Explore Founder Technology AdvisoryDefine the right MVP
Turn the idea into clear scope, requirements and priorities before development spend accelerates.
Make sound technical choices
Architecture, stack, AI, data, cloud and vendor decisions based on what the product actually needs.
Have someone on your side
Independent technical oversight whether your product is built by an agency, freelancers or an internal team.
Consulting practices
Build. Understand. Automate.
Three complementary practices help teams build scalable digital systems, understand performance through data, and integrate AI into real workflows where it can solve a measurable business problem.
Practice 01 · Build
Frontend Engineering & Architecture
Architecture, planning and engineering advisory for teams building, modernizing and scaling web applications.
Frontend Planning
Frontend planning and architecture consulting for scalable web applications, covering application structure, technology decisions, testing, deployment and observability.
Learn more →Team Setup
Set up scalable frontend teams with clear ownership, engineering standards, development workflows, governance and release practices.
Learn more →New App Foundations
Technical planning for new web applications and websites, from technology selection and frontend architecture to repository strategy, CI/CD, quality and launch readiness.
Learn more →Practice 02 · Understand
Analytics & Insights
Measurement strategy, digital analytics and business intelligence that help teams understand performance and make better decisions.
Analytics Strategy & Measurement
Define measurement frameworks, KPIs and analytics strategies that connect digital activity to business objectives and decision-making.
Learn more →Marketing & Customer Insights
Analyze campaigns, funnels and customer journeys to surface actionable insights, optimization opportunities and growth levers.
Learn more →Dashboarding & BI
Design decision-focused dashboards and reporting systems that turn multi-source data into clear, useful views of business and marketing performance.
Learn more →Analytics Audit & Optimization
Review analytics implementations, tracking and data quality across GA4, Adobe Analytics and tag-management environments, then prioritize improvements.
Learn more →Practice 03 · Automate
AI Solutions & Integration
Problem-led AI engineering that identifies high-value opportunities, validates them quickly, and integrates AI into the systems, data and workflows your teams already use.
AI Opportunity Discovery
Identify business workflows where AI can create measurable value, assess feasibility and define a practical path from problem to production.
Learn more →AI Solution Prototyping
Rapidly validate an AI use case against real workflows and representative data before making a larger production investment.
Learn more →AI Integration & Workflows
Integrate AI models and agents with existing applications, APIs, enterprise data and workflows while keeping appropriate human control.
Learn more →Production AI Engineering
Take validated AI solutions into production with evaluation, guardrails, observability, cost controls, security and operational readiness.
Learn more →Problem to production
AI integration starts with the workflow, not the model.
Our AI engagements follow a forward-deployed approach: work closely with the people who own the problem, validate value in their environment, integrate with the systems they already use, and leave behind a solution their team can operate and evolve.
- 01
Discover
Map the business problem, users, workflow, systems, data and constraints before choosing a technology.
- 02
Validate
Identify where AI can create value, where conventional automation is better, and how success will be measured.
- 03
Prototype
Test the highest-value assumption with representative data and realistic workflow scenarios.
- 04
Integrate
Connect the solution to existing applications, APIs, data sources and human approval points.
- 05
Measure
Evaluate quality, business impact, latency, cost and failure modes against agreed success criteria.
- 06
Scale
Productionize with guardrails, observability, security, operational ownership and a path for continuous improvement.
Model and platform choices follow the requirements. Iqlyte does not prescribe a particular AI provider by default.
Why Work With Iqlyte
Problem before technology
Architecture, analytics and AI decisions start with the business problem, users and workflow rather than a predetermined tool or model.
Systems and data together
Engineering, measurement and AI integration are considered as one operating environment so solutions fit the systems and data teams already rely on.
Independent, practical advice
Platforms and technologies are selected around requirements, constraints and measurable outcomes, with a focus on solutions your team can operate and evolve.
Founding Team
Senior expertise across engineering architecture and digital analytics.
Iqlyte combines two complementary disciplines: building digital systems that scale and creating the measurement and insight needed to improve how those systems perform.
Co-Founder & Principal Consultant
Giric Goyal
Frontend engineering leader with 14+ years of experience building, modernizing and scaling web applications across enterprise and product organizations.
His work spans frontend architecture, micro-frontends, application modernization, engineering standards, performance, analytics and technical leadership across complex, production-scale applications.
Frontend ArchitectureMicro-FrontendsModernizationEngineering Leadership
Co-Founder & Analytics and Insights Lead
Anshika Agarwal
Digital analytics and insights leader with 14+ years across analytics, digital intelligence and consulting roles, working with global teams and clients across marketing, customer and business performance.
Her experience covers measurement strategy, campaign and funnel analysis, customer journeys, KPI frameworks, executive reporting, dashboarding and analytics platforms including GA4, Adobe Analytics, Power BI, Tableau and Looker Studio.
Analytics StrategyMarketing InsightsPower BIGA4 & Adobe Analytics
How we work
From uncertainty to an actionable plan.
- 01
Understand
Clarify the business goals, current environment, stakeholders and the decisions that need to be made.
- 02
Assess
Review the architecture, data, measurement or proposed approach and identify risks, gaps and opportunities.
- 03
Plan
Turn the findings into clear priorities, recommendations and an actionable roadmap.
- 04
Enable
Support implementation, measurement, team alignment and critical decisions as the plan moves into delivery.
FAQ
Consulting questions
What does Iqlyte help clients with?
Iqlyte works across three consulting practices: Frontend Engineering & Architecture, Analytics & Insights, and AI Solutions & Integration. Engagements can focus on one practice or combine them when a business problem spans systems, data and workflows.
How does Iqlyte approach AI projects?
We start with the business problem and existing workflow rather than a model or vendor. We discover and prioritize opportunities, validate the use case, prototype against realistic scenarios, integrate with existing systems, measure the outcome and productionize with appropriate controls.
Do we need to know which AI model or platform we want to use?
No. Model and platform choices follow the requirements, data, security constraints, economics and integration environment. Iqlyte is not tied to a particular AI provider by default.
Can you integrate AI with our existing systems rather than build a separate chatbot?
Yes. The AI integration practice is designed around existing applications, APIs, enterprise data and operational workflows. Depending on the problem, the solution may use AI assistance, agents, conventional automation or a combination, with human approval where appropriate.
What does a frontend architecture audit include?
An Iqlyte architecture audit reviews application structure, dependencies, technical debt, performance, delivery workflows and team ownership. The output is a prioritized set of findings and a practical modernization roadmap.
What can an analytics engagement cover?
Analytics engagements can include measurement strategy, KPI definition, campaign and funnel analysis, customer-journey insights, dashboards and business intelligence, or audits of GA4, Adobe Analytics and tracking implementations.
Do you work with an existing team?
Yes. Iqlyte works alongside founders, engineering leaders, product and operations teams, marketing teams, analysts and other stakeholders, adapting the engagement to the team and problem already in place.
Start a conversation
Have a systems, data or AI problem you need to solve?
Tell us what you are building, measuring, trying to understand or hoping to automate. We can start with the problem and identify the right engineering, analytics or AI path.
Email: hello@iqlyte.com
Usually responds within 1–2 business days