We Deploy Secure, Enterprise AI Solutions
That Delivers ROI within Months

Our AI engineers and certified product managers have built award-winning AI/ML solutions across industries, for Fortune 500 brands.

Explore Case StudiesContact Our Team

Our expert team combines deep AI & ML expertise with enterprise product management experience from Fortune 500 innovation labs.

We've successfully delivered AI solutions achieving 95%+ model accuracy in production while maintaining enterprise-grade security and regulatory compliance. Our clients include leaders in MedTech, Pharma, Healthcare, Finance, Manufacturing, and Consumer Goods.

India's Leading Enterprise AI Studio

We partner with industry leaders and visionary entrepreneurs to build scalable AI products that drive measurable business growth using our proven methodology backed by 10+ years of AI expertise.

100+
AI Agents & Enterprise Projects
10+
Years Building AI at Scale
15+
AI Products Launched
$350M+
Business Impact

SyntropIQ-AI is India's premier AI studio, serving both high-growth startups and established enterprise leaders. Our methodology combines cutting-edge generative AI with battle-tested product engineering to deliver solutions that scale from pilot to production.

We've helped healthcare organizations save $250M in operational costs, Pharmaceutical companies detect adverse events and avoid $100M+ regulatory fines, and consumer brands launch 15+ AI-powered products generating incremental revenue—all while maintaining enterprise-grade security and compliance.

AI Isn't New. Neither Are We.
Building Products Since 2012

  • 01Conversational AIChatbots and Voicebots • Talk To Your Data • AI Knowledge Base
  • 02Generative AIAI Agents • Agentic Workflow Automation • AI Augmented Workforce
  • 03Classic Machine LearningPredictive Analytics • Recommendation Systems • Anomaly Detection
  • 04Computer VisionImage and Video Analysis • Optical Character Recognition • Object Detection
  • 05Mobile App DevelopmentAI Enhanced UX • Native iOS & Android • Flutter • React Native
  • 06AI Go-To-Market StrategiesMarket Research and Positioning • Channel and Partner Strategy • Performance Tracking and Optimization

We Take Your Product From
Concept To Scale

We did this multiple times for ourselves and clients across multiple industries. Instead of talking to sales reps, schedule a discovery call with the founders who will understand you right away and give you honest and valuable advice.

DISCOVERY
  • ▶AI Design Thinking
  • ▶AI Prioritization and Roadmap
  • ▶AI Maturity Assessment
  • ▶AI Vendor Selection / Consolidation
  • ▶AI / ML Playbook
STRATEGY & DESIGN
  • ▶AI Consulting
  • ▶Product Design
  • ▶Innovation
  • ▶Agile Development
  • ▶UI / UX Design
DEVELOPMENT
  • ▶Generative AI
  • ▶Machine Learning
  • ▶Conversational AI (NLP)
  • ▶Computer Vision
  • ▶AI for IoT
  • ▶Mobile App Development
  • ▶Custom Web Apps
LAUNCH
  • ▶Warranty
  • ▶Product Launch
  • ▶Due Diligence
  • ▶Maintenance & Service
MARKETING
  • ▶Go-To Market
  • ▶Hubspot Integration
  • ▶Customer Acquisition
  • ▶Conversion Optimization

Our proven 6-stage process de-risks AI projects and accelerates ROI

AI Strategy Audit
Stage 01

AI Strategy Audit (Free)

What Happens:

Before founder/product manager commits:

  • 60-minute strategy workshop with your leadership team
  • AI readiness assessment across 12 dimensions
  • Custom opportunity scorecard with prioritized use cases
  • High-level project roadmap and investment range
Our Focus:

“How do we create the most ROI for your business?”

Duration: 3-5 business days
Investment: Free (valued at $5,000)
Deliverables:
  • ✓AI Opportunity Scorecard
  • ✓3-5 prioritized use cases
  • ✓High-level roadmap
  • ✓Investment range estimate
Discovery Sprint
Stage 02

Discovery Sprint Validate Your AI Concept in 2 Weeks

What Happens:

Before design/development investment:

  • 4-day design sprint with cross-functional team (CTO + technical lead required)
  • High-fidelity AI prototype simulating real model outputs
  • 5 user interviews with target customers
  • Technical feasibility assessment with your engineers
  • Go/no-go recommendation with risk analysis
Our Focus:

“Does this solve a real customer problem profitably?”

Duration: 2 weeks
Deliverables:
  • ✓Interactive AI prototype
  • ✓5 user testing videos + insights report
  • ✓Technical feasibility scorecard
  • ✓Go/no-go recommendation
  • ✓MVP scope definition
AI Product Design
Stage 03

AI Product Design Production-Ready Blueprints in 4 Weeks

What Happens:

Before engineering commitment:

  • AI model architecture specification
  • Data pipeline and integration design
  • Production UI/UX designs (Figma + motion)
  • Security, compliance, and scalability architecture
  • Detailed MVP scope with sprint breakdown
Our Focus:

“Can we build this securely at enterprise scale?”

Duration: 4 weeks
Deliverables:
  • ✓AI architecture diagrams
  • ✓Data pipeline specification
  • ✓Production Figma designs
  • ✓Security & compliance roadmap
  • ✓12-week MVP sprint plan
  • ✓Vendor-neutral technology recommendations
Development & Deployment
Stage 04

Development & Deployment From Code to Production in 12 Weeks

What Happens:

Before full-scale rollout:

  • Production AI model training and validation
  • Full-stack development (frontend, backend, AI services)
  • Enterprise security implementation (SOC 2, HIPAA)
  • Pilot deployment with real data
  • Performance monitoring and optimization setup
Our Focus:

“Does it work reliably at scale with real data?”

Duration: 12 weeks
Deliverables:
  • ✓Production-ready AI models (92%+ accuracy)
  • ✓Full-stack application
  • ✓MLOps pipeline (CI/CD, monitoring)
  • ✓Enterprise security certification
  • ✓Pilot deployment with 100+ users
  • ✓30-day post-launch support
Optimization & Scale
Stage 05

Optimization & Scale Continuous Improvement & Revenue Growth

What Happens:

Ongoing partnership:

  • Model retraining with new data
  • Feature expansion based on usage analytics
  • A/B testing and conversion optimization
  • Scale to production volumes (10K–10M users)
  • ROI measurement and expansion planning
Our Focus:

“How do we 10x the business impact?”

Duration: Ongoing (minimum 6 months)
Deliverables:
  • ✓Monthly model retraining (accuracy +5% quarterly)
  • ✓Feature roadmap from usage data
  • ✓A/B testing program (20%+ uplift target)
  • ✓Scale architecture (10x capacity)
  • ✓Quarterly ROI reporting ($/user metrics)
  • ✓Expansion opportunity identification
Launch AI Products That Customers Actually Use
Stage 06

Launch AI Products That Customers Actually Use (Optional)

What Happens:

Before full-scale revenue investment:

  • AI product positioning and messaging framework
  • Target customer segment activation strategy
  • Multi-channel go-to-market orchestration
  • Sales enablement materials and training
  • Customer onboarding and adoption programs
  • Performance analytics and growth optimization
Our Focus:

“How do we get customers using your AI product profitably?”

Duration: 6-8 weeks
Deliverables:
  • ✓Product positioning and messaging matrix
  • ✓Go-to-market playbook (GTM strategy)
  • ✓Sales enablement toolkit
  • ✓Customer onboarding experience
  • ✓Channel partner activation plan
  • ✓Growth metrics dashboard
  • ✓90-day launch roadmap
Value Proposition:
  • A.“60% Faster ROI than traditional consulting”
  • B.“4-month average time-to-value”
  • C.“90% project success rate”
  • D.“$250K average Year 1 ROI”
  • E.De-Risk Your AI Investment

Have a Project? Talk to the Founders Directly

It's free, what do you have to lose?