Development timelines vary based on project complexity. We typically deliver a validated pilot or MVP in 4-8 weeks, followed by production hardening and scaling. For enterprise-grade solutions with custom models, expect 3-6 months. We work in agile sprints to show progress early and iterate based on your feedback.

You do! All custom code, trained models, and documentation are delivered under your license. We ensure full IP transfer upon project completion. You retain complete ownership and control of your AI assets, with no vendor lock-in.

We implement enterprise-grade security including threat modeling, least privilege access control, encryption in transit and at rest, comprehensive audit trails, and SOC 2 compliance frameworks. We can work with your data on-premises, in your cloud, or in isolated environments. All our processes follow GDPR, HIPAA, and industry-specific compliance requirements.

Project costs vary based on scope, complexity, and duration. A typical AI MVP starts at $25,000-$50,000 for 4-8 weeks of development. Enterprise-scale solutions range from $100,000-$500,000+. We offer flexible engagement models including fixed-price projects, time & materials, and dedicated team arrangements. Contact us for a detailed quote based on your specific requirements.

Yes! We offer comprehensive post-launch support including SLA-based maintenance, 24/7 monitoring, model retraining and optimization, feature enhancements, and continuous improvement sprints. Our support packages are customizable based on your needs, from basic bug fixes to full managed services.

We primarily use Python for AI/ML development (TensorFlow, PyTorch, scikit-learn, LangChain, OpenAI APIs). For full-stack applications, we use React, Next.js, Node.js, FastAPI, and cloud platforms (AWS, GCP, Azure). We choose the best technology stack based on your requirements and existing infrastructure.

Absolutely! We specialize in seamless AI integration into existing tech stacks. Whether you have legacy systems, modern cloud applications, or IoT devices, we design APIs and microservices that integrate smoothly. We can work with REST APIs, GraphQL, webhooks, message queues, and direct database connections.

We've delivered AI solutions across multiple industries including Healthcare (medical imaging, diagnostics), Finance (fraud detection, risk analysis), Retail (recommendation systems, demand forecasting), Manufacturing (quality control, predictive maintenance), and Technology (automation, data analytics). Our team adapts quickly to domain-specific requirements.

We have extensive experience with edge computing and IoT ecosystems. We can integrate cameras, sensors, PLCs, and other hardware devices, optimize models for edge deployment (TensorFlow Lite, ONNX), handle real-time telemetry and data streaming, and implement offline-first architectures. We work with popular IoT platforms and custom hardware.

We start with a free 30-minute strategy call to understand your goals. Then we conduct a discovery phase (1-2 weeks) to assess data quality, define success metrics, and create a roadmap. We work in agile 2-week sprints with regular demos, deliver a working pilot quickly, then iterate based on real-world feedback before scaling to production.

Yes! We provide strategic AI consulting including feasibility assessments, data strategy and architecture, ROI analysis and business case development, technology stack recommendations, AI roadmap planning, and team training. Our consulting services help you make informed decisions before committing to full development.