Skip to main content
SoftUs Infotech
Case studies

Real AI products with measurable outcomes

From GenAI copilots to computer vision pipelines, explore the AI systems we have designed, built, and shipped for startups across fintech, healthtech, legal, retail, and more.

Read the case studiesTalk to us
What you will find inside

Five lenses on production AI work

Every case study lists the constraints, decisions, and trade-offs. Numbers in context, not numbers on a banner.

01

12+

Generative AI

02

10+

Machine learning

03

8+

Computer vision

04

9+

Automation & agents

05

14+

Product engineering

Fine-tuning: a base model plus a task adapter, gated on evaluation before it serves trafficbase modelyour dataadapterevalservethe base model is never overwritten
Generative AI Solutions
Generative AI Solutions

AI Lead Generation Platform

An AI-driven lead generation platform that consolidates data from 10+ verified sources into a unified, CRM-ready database. It enriches and deduplicates contacts in real-time, automates CRM synchronization, and significantly improves lead accuracy, helping sales teams save time, increase outbound efficiency, and boost conversion rates.

View case study
Support automation: an incoming message is classified by intent, answered from the knowledge base when confidence is high, and handed to an agent when it is not.messageintentknowledgereplyescalateagentdeflect what it can answer, escalate what it cannot
Generative AI Solutions
Generative AI Solutions

Chatbot with Voice – Real-Time AI Conversations with Video & Voice Cloning

A video and voice-enabled AI chatbot with real-time speech-to-text, custom voice cloning, and emotion recognition, boosting engagement and interaction.

View case study
Multimodal: an image encoder and a text encoder projected into one shared spaceimagetextshared spaceone answerthe picture and the caption land near each other
Generative AI Solutions
Generative AI Solutions

AI-Powered Music Generation Platform

An AI-driven music generation platform that creates original tracks from descriptive prompts. Users can customize tempo, instruments, and mood, with built-in professional mastering, making music creation faster, easier, and high-quality for musicians and creators.

View case study
Support automation: an incoming message is classified by intent, answered from the knowledge base when confidence is high, and handed to an agent when it is not.messageintentknowledgereplyescalateagentdeflect what it can answer, escalate what it cannot
Generative AI Solutions
Generative AI Solutions

VoiceAI Application for Advanced Voice Synthesis and Cloning

A VoiceAI platform enabling text-to-speech, speech-to-speech, and voice cloning with tone and emotion controls. It delivers realistic, expressive synthetic voices, supports real-time conversion, and allows celebrity voice cloning, cutting production voice-over costs by 85% for media and virtual assistants.

View case study
Model lifecycle: data feeds training, the model is evaluated then served, production traffic is monitored for drift, and drift feeds back into retraining.datatrainevaluateservemonitor · drift · costdrift triggers retraining, the loop most projects skip
Generative AI Solutions
Generative AI Solutions

Automated AI Marketing Content Generator

An AI-powered content generator that creates SEO blogs, ad copy, and social media posts with brand tone training, accelerating production by 80%, integrating with HubSpot and Mailchimp, and reducing content costs by 60%.

View case study
Agent loop: the model plans a step, calls a tool and observes the result, repeating until done, with a human approval gate before any action commits.plancall toolobserverepeat until the task is donehuman approvalcommitnothing commits without a person in the loop
Generative AI Solutions
Generative AI Solutions

Virtual AI Sales Assistant for E-commerce

AI agent answers product queries, recommends upsells, and automates order follow-up emails.

View case study

Start here

Bring the messy version. That is the useful conversation.

An idea, a workflow that is eating your team's week, or a model that works in a notebook and nowhere else. Any of those is enough to start.

Discuss your projectView capabilities
A first roadmap on the call
Not a brochure. What we would build first, what we would leave out, and why.
Architecture and cost in plain English
Where the model sits, what it touches, what it costs to run at your volume.
The honest version
If your data is not ready, or the use case does not need AI, we will tell you on the call.