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
Choose the engagement level that matches your project scope and timeline. All packages include production deployment, documentation, and knowledge transfer.
All packages include: Scope, integrations, and support are strictly limited to the selected package. Additional features or changes are quoted separately
Real projects, real results. See how we've helped companies transform with AI.
Series A Travel Tech Startup
Customer support overwhelmed with 70% repetitive queries about bookings, causing long wait times and customer frustration.
Built AI conversational agent handling end-to-end booking interactions with real-time modifications, context-aware itinerary management, and backend integration.
Enterprise Software Company
Manual processing of thousands of customer documents monthly, causing delays and errors in data entry and classification.
Developed AI system for automated document extraction, classification, and data validation with human-in-the-loop review for edge cases.
Mid-Market Retail Platform
Generic product recommendations leading to low conversion rates and poor customer engagement on the platform.
Built hybrid recommendation engine combining collaborative filtering with LLM-powered semantic understanding of product attributes and user preferences.
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.
Let's discuss your project and find the right approach for your needs.
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