Launch Production-Ready AI Systems Without Building an AI Team

Validate your idea with a fast AI MVP, then scale to a production-ready system—delivered with fixed pricing and clear timelines.

Fixed pricing • Production-ready delivery • Full code ownership

AI Engagement Models

Choose the engagement level that matches your project scope and timeline. All packages include production deployment, documentation, and knowledge transfer.

Quick Start

AI MVP Build

$999 6-8 weeks

What You Get:

  • Single-feature AI application
  • Integration with 1-2 data sources or APIs
  • Clean and responsive basic UI/UX design
  • Deployment to cost-free hosting
  • 1 weeks of post-launch support
  • 1 round of revisions during build
  • Basic documentation (README + setup guide)

Ideal For:

  • Rapid proof-of-concept builds
  • Testing AI viability before full investment
  • Internal demos or stakeholder presentations
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Enterprise

Standard AI Product — Plus

$4000 16-20 Weeks

What You Get:

  • Up to 5 AI features or multi-workflow logic within a single platform
  • Advanced RAG optimization including chunking strategy, metadata enrichment, and filtering
  • Custom UI branding with UX refinements for improved usability and consistency
  • Role-based access control with admin, user, and operations roles
  • Integration with up to 5 external APIs or third-party services
  • Optimized database schema with indexing for performance and scalability
  • Production monitoring with error tracking and basic alerts
  • 1 month of post-launch support for fixes and minor enhancements
  • Up to 3 revision rounds based on feedback

Ideal For:

  • Large-scale enterprise deployments
  • Mission-critical AI applications
  • Complex multi-system integrations
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Case Studies

Real projects, real results. See how we've helped companies transform with AI.

Travel & Hospitality

AI Travel Concierge

Series A Travel Tech Startup

Challenge

Customer support overwhelmed with 70% repetitive queries about bookings, causing long wait times and customer frustration.

Solution

Built AI conversational agent handling end-to-end booking interactions with real-time modifications, context-aware itinerary management, and backend integration.

Results

80% Reduction in support tickets
35% Increase in bookings
60% Faster response time
GCP Vertex AI OpenAI GPT-4 Python FastAPI
B2B SaaS

Intelligent Document Processing

Enterprise Software Company

Challenge

Manual processing of thousands of customer documents monthly, causing delays and errors in data entry and classification.

Solution

Developed AI system for automated document extraction, classification, and data validation with human-in-the-loop review for edge cases.

Results

95% Automation rate
10x Processing speed
90% Cost reduction
Claude AI LangChain PostgreSQL React
E-commerce

Personalized Product Recommendations

Mid-Market Retail Platform

Challenge

Generic product recommendations leading to low conversion rates and poor customer engagement on the platform.

Solution

Built hybrid recommendation engine combining collaborative filtering with LLM-powered semantic understanding of product attributes and user preferences.

Results

45% Higher CTR
28% Conversion increase
2.3x Average order value
OpenAI Embeddings Pinecone Python Redis

Frequently Asked Questions

Common questions about working with us on AI projects.

It depends on scope. An MVP can be ready in 3–4 weeks, a standard product in 6–8 weeks, and custom systems in 12+ weeks. Detailed timelines are shared during discovery.

Not always. For general use cases like chatbots, we can use pre-trained models. For domain-specific solutions, your data improves accuracy, and we help with collection and preparation.

We work iteratively with regular check-ins. If something isn’t working, we diagnose quickly and adjust. Projects include clear success criteria and quality checkpoints.

We follow industry best practices including encryption, secure API communication, and GDPR/CCPA-aligned handling. NDAs and custom security requirements are supported.

Yes. You receive full ownership of all custom code, configurations, and any fine-tuned models, along with complete documentation and source code handover.

All packages include post-launch support (2 weeks to 1 month depending on tier). After that, we offer maintenance retainers or team handover support.

Typical ongoing costs include cloud infrastructure ($100–$500/month for MVPs) and API usage based on volume. We provide cost estimates and help optimize usage.

Yes. We integrate with CRMs, databases, internal APIs, cloud storage, and custom systems. Integration planning is part of the discovery phase.

We are engineers first. We build production systems, not slide decks. You get working software focused on real business outcomes and ROI.

Yes. Knowledge transfer is included in every project. Extended training, workshops, and ongoing advisory support are available if needed.

That’s common. We offer discovery workshops to analyze your business challenges, explore AI opportunities, and recommend the right solution.

Yes. We help define AI roadmaps, prioritize use cases, and plan phased rollouts alongside implementation.

Ready to Build Your AI Solution?

Let's discuss your project and find the right approach for your needs.

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Founder

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