Case Studies · Real Builds · Real Outcomes

Systems that quietly move revenue.

A look behind the curtain at the AI systems and products we've built. The constraints, the tradeoffs, and the numbers they actually shifted.

12+

Systems & products shipped

40+

Integrations across stacks

5–8 wks

Typical build window

100%

Client-owned IP

Featured Build

A B2B SaaS company, re-engineered for revenue.

AI Revenue Operations · B2B SaaS Platform

Featured · B2B SaaS

Case 01 · AI System for B2B SaaS

AI Revenue Operations · B2B SaaS Platform

How a B2B SaaS company shortened sales cycles by 42% and unlocked a 6-figure pipeline in a quarter.

Client snapshot

A mid-market B2B SaaS company selling to revenue teams. Long enterprise sales cycles, fragmented data across HubSpot, Salesforce, and Slack, and SDRs spending 60% of their time on manual research and CRM hygiene instead of selling.

−42%

Sales cycle length (avg deal close)

3.4×

SDR-qualified meetings per rep

$640K

New pipeline added in 90 days

60%

Reclaimed SDR selling time

8 weeks

HubSpotSalesforceSlackClearbitOpenAI

How it was built

8 weeks. Five systems. One pipeline.

We didn't replace their CRM. We turned it into one node in a coordinated AI revops graph, so leads, signals, and follow-up actions move automatically across HubSpot, Salesforce, Slack, Clearbit, and the AI agent layer.

Week 1
Discovery & RevOps Audit
Mapped every lead source, handoff point, and broken edge in the existing CRM stack. Defined the qualification logic the team used implicitly and the deals that were silently slipping through.
Weeks 2–3
Unified Pipeline Layer
Connected HubSpot, Salesforce, Clearbit, and Slack into a single source of truth. Every inbound lead now arrives enriched, deduped, and routed inside 60 seconds.
Weeks 4–5
AI Qualification & Research Agents
Deployed agents that research accounts, score intent, generate first-touch outreach drafts, and surface buying signals. SDRs spend their time on conversations, not lookups.
Weeks 6–7
Forecasting & Pipeline Hygiene
Automated CRM hygiene, stage progression nudges, and deal-risk flags. Sales leadership got a forecast they could trust without a Sunday spreadsheet ritual.
Week 8
Launch, Measurement & Tuning
Side-by-side rollout with the GTM team, instrumented every step, and tuned thresholds against the first 30 days of real production data.

More Builds

Other recent case studies.

Mobile, marketplaces, AI products. Same playbook, different shapes.

Case 02 · AI Mobile Product

Sip AI

An AI cocktail crafting app, built and shipped in 5 days.

A subscription-ready mobile app turning any set of ingredients into a personalized cocktail recipe. Built end-to-end with FlutterFlow, Firebase, and GPT-4o.

Days from zero to production

GPT-4o

Recipe generation engine

Stripe

Subscription model live at launch

5 days

FlutterFlowFirebase+1

Case 03 · Mobile Product

Habitic

A habit tracker designed to feel effortless every day.

A FlutterFlow-built habit tracker with one-tap check-ins, streak tracking, progress charts, and a motivational onboarding flow. Designed to never feel like a chore itself.

1-tap

Daily check-ins

FlutterFlow

Built for rapid iteration

Production

Polished, ready to ship

5 days

FlutterFlowFirebase+1

Case 04 · Custom Web Platform

Flairr

A prompt marketplace, built from scratch.

A two-sided marketplace where AI creators share, sell, and discover prompts. Personalized feeds, real-time messaging, secure payments, and a premium subscription tier. All custom-built.

Real-time

Messaging via WebSockets

Stripe

Marketplace payments

Premium

Subscription tier live

Multi-phase

Next.jsNode.js+3

Why these builds work

Same approach. Every build.

Constraints first.

We map the system the business already runs on (tools, handoffs, edge cases) before drawing a single architecture diagram.

Ship in weeks, not quarters.

Tight scope, weekly milestones, production deploys from week one. You see the system working before you ever pay the final invoice.

You own everything.

No black boxes. Every workflow, prompt, and integration is yours forever, with documentation and a handoff your team can run on.

Want a build like one of these?

We take a small number of new builds each quarter. If you have a system in mind, the discovery call is the place to pressure-test it.

See recent launches

Saidur Rahaman, Founder of Unicorn Studio

Hey 👋 Got an AI project in mind?

Hi from Unicorn Studio.

Got an idea? Let's chat on WhatsApp or jump on a quick call.

Ask on WhatsApp

saidur@unicornstudio.io