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Enterprise SaaS

AI-Powered Transformation for Enterprise SaaS

Overview

We architect multi-tenant SaaS systems and natural-language analytics platforms that turn complex data into direct, actionable transactions.

Client details protected under NDA.

Selected work in this vertical

Case 01
Problem

Enterprise stakeholders can't directly query technical data structures, creating a gap between data teams and decision-makers.

Solution

Engineered text-to-SQL pipelines and production-ready RAG systems that translate natural user queries into direct database transactions, accompanied by smart, dynamic visualizations.

Tech stack
LLMsLangChainOpenAI APIPythonRAG ArchitectureETL
Case 02
Problem

Automotive and real-estate enterprises need a unified, multi-tenant CRM with custom site building, affiliate tracking, and recurring billing.

Solution

Programmed a modular multi-tenant SaaS CRM integrating custom site builders, dynamic affiliate marketing trackers, deep multi-tiered user roles, and recurring billing layers.

Tech stack
SaaS ArchitectureStripe IntegrationCampaign Engine ModulesMulti-Tenant Database Logic
Case 03
Problem

Sales teams lack a safe, realistic environment to practice prospecting, objection handling, and closing.

Solution

Built an AI sales-coaching SaaS combining conversational AI, voice cloning, and knowledge-base training to deliver natural, human-like role-play with instant feedback and custom scripts, on a scalable architecture with real-time voice.

Tech stack
Conversational AIVoice CloningReal-Time VoiceLLM OptimizationSaaS ArchitectureCloud Deployment
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