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Case Studies

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Case Studies

Not just ideas — real results.

See how we’ve helped teams do more with less through focused delivery, strong engineering, and measurable outcomes.

FI
Financial Intelligence Platform Generative AI Strategy & Implementation

FinSight AI

Client: FinSight AI

FinSight AI is an enterprise-grade, multi-tenant financial intelligence platform built for chartered accountants, non-technical finance stakeholders and business users to autonomously extract, analyze, and generate actionable…

Cloudinary Docker FastAPI LangChain MongoDB Atlas. Azure AI Services React Tailwind CSS TypeScript
1 year
IN
Insurance Intelligence Platform Generative AI Strategy & Implementation

InsureAI

Client: InsureAI

InsureAI is an enterprise-grade, AI-powered insurance intelligence platform built for insurance underwriters, risk managers, and compliance teams to accelerate policy review through real-time semantic knowledge retrieval…

Azure AI Services Docker FastAPI LangChain MongoDB + PyMongo Nginx. Python React + TypeScript Tailwind CSS
1 year
AS
Astrology Generative AI Strategy & Implementation

Astral Foresight

Client: Astral Foresight

Astral Foresight is a cross-platform Jyotish connectivity and practice-management application built to help Jyotishis operate like a modern digital humans—managing clients end-to-end, delivering timely Jyotish reports…

AWS AWS SES Firebase Cloud Messaging (FCM) Firebase Realtime Database Node.js React Native
1 year
Business Community Operating System

BT Universe

Client: BT Universe

BT Universe is India’s first GenAI-enabled business community platform designed to reduce operational stress for founders and business leaders by turning community participation into measurable growth.…

AWS AWS SES Azure AI Services Docker Nativewind Nginx. Node.js React React Native Tailwind CSS
1 year

Case Studies FAQ

Questions about our case studies

Learn how to read our work samples, what’s included, and how we can adapt similar outcomes to your business.

What does each case study include? +

Each case study typically covers:

  • Problem & context
  • Goals / success metrics
  • Approach & architecture
  • What we delivered (features)
  • Results & learnings
Are the names and company details real? +

Some case studies are public (with permission). Others are anonymized to protect privacy and NDA terms. Even in anonymized cases, the technical approach, scope, and results are real and verifiable on a call.

How do you measure “results” in AI projects? +

We measure results using both product and AI metrics, such as:

  • Adoption: usage, retention, time saved
  • Accuracy: precision/recall, eval scores, human review
  • Reliability: latency, uptime, error rate
  • Business KPIs: revenue lift, cost reduction, faster cycles
Can you replicate a similar case study for our company? +

Yes—case studies show patterns we can adapt (architecture, evaluation, guardrails, integrations). We’ll start with a quick discovery call to map your workflow, data readiness, constraints, and timelines, then propose a phased plan.

What if our problem is not exactly listed in your case studies? +

That’s common. Most projects are unique in business logic and constraints, but the underlying systems (RAG search, agents, automation, analytics, secure SaaS architecture) are reusable patterns. Share your use case—we’ll map it to the closest solution approach.

Do you provide code, documentation, and handover details in case study projects? +

Yes. Our standard delivery includes repo handover, documentation, deployment guides, and training. We aim to make your internal team capable of maintaining and extending the system after delivery.

Can you share a private demo or deeper technical breakdown? +

Yes. For serious inquiries, we can share private demos, architecture walkthroughs, and evaluation approach— subject to NDA and security constraints.

Workshop session

LET’S TALK

Questions? Let’s talk.

Share your goals, timeline, and current stack. We’ll reply within 24–48 hours with a suggested plan and next steps.

Fast response NDA on request Clear roadmap
How it works
  1. 1 Share goals + timeline
  2. 2 We propose a plan + estimate
  3. 3 Kickoff in 3–5 days
NDA on request. Secure handling of sensitive data.