Case Studies & Results

Real AI. Real Outcomes.

We measure success by what changes in your business — not by features shipped. Here's what that looks like in practice.

50+
AI projects delivered
12+
Industries served
97%
Client satisfaction rate

GTM Automation · Enterprise SaaS

Automated Outbound That Runs While You Sleep

The Problem

  • SDR team of 4 maxed out at 80 personalized emails per week
  • Lead qualification was inconsistent and largely gut-feel
  • Follow-ups were missed regularly due to workload
  • CRM data was stale and full of duplicates

Our Solution

  • Deployed a 6-agent GTM system: discovery → qualification → personalization → outreach → follow-up → booking
  • Integrated with HubSpot for real-time CRM sync and lead enrichment
  • Built a custom dashboard for pipeline visibility and agent performance
  • Set up domain warming and deliverability infrastructure
400%
Increase in weekly outreach
60%
Lower CAC
Qualified pipeline
0
Missed follow-ups
The GTM agents deliver better-personalized emails than our best SDR — and they do it for 1,200 leads a week simultaneously. It changed how we think about our go-to-market entirely.

Head of Revenue, Enterprise SaaS Client

AI AgentsGTM AutomationHubSpot IntegrationLLM Personalization

Platform Engineering · EdTech

AI Teaching Assistant Serving 200K+ Students 24/7

The Problem

  • Support team overwhelmed by repetitive student questions
  • Peak-hour response times over 8 hours
  • Content spread across 40+ course modules with no smart search
  • Engagement dropped every time students hit a blocker

Our Solution

  • Deployed a RAG-based teaching assistant grounded in course content
  • Multi-turn conversations with memory of student progress
  • Escalation flows to human tutors for complex cases
  • Analytics dashboard for question trends and content gaps
85%
Queries auto-resolved
Student engagement
70%
Support cost cut
<3s
Average response
Our students now get instant, contextual help at 2am on a Sunday. Retention on hard modules jumped 40% within a quarter.

Head of Product, EdTech Platform

RAGLLM Fine-tuningConversational AIAnalytics

Healthcare

Intelligent Document Processing Pipeline

The Problem

  • Clinical documents processed manually across 6 departments
  • Error rates above industry benchmark on data entry
  • Compliance audits took weeks to complete
  • Bottleneck was slowing patient onboarding

Our Solution

  • Built a multimodal document pipeline (OCR + LLM extraction)
  • Structured output schema validated against clinical taxonomies
  • Full audit trail with reviewer sign-off for regulated workflows
  • On-prem deployment for HIPAA-grade data residency
90%
Manual work eliminated
99.2%
Accuracy
Faster processing
100%
Audit-ready
We reclaimed thousands of clinician hours a month. Documents that used to take days now take minutes — with better accuracy.

COO, Regional Healthcare Network

Multimodal AIOCRLLM ExtractionHIPAA

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