Frequently Asked Questions

The best way to get started is to schedule a 30-minute discovery call through our contact page. During this call, we'll discuss your business needs, assess your current AI maturity, and outline a strategic roadmap tailored to your goals.

During your discovery call with Milo Mendoza, our Strategic Advisor & Tech Lead, you'll receive strategic roadmapping focused on your 12-24 month vision, an ROI-first assessment to ensure we only build what pays for itself, and insights into production-ready architecture considerations.

We respond immediately to all inquiries. You can schedule a consultation directly through our Calendly integration, and we'll confirm your availability right away.

We specialize in six core areas: Generative AI & Agents (RAG systems, chatbots, content generators), Workflow Automation (API integrations, document processing), Predictive Growth Intelligence (lead scoring, inventory forecasting), Computer Vision (quality control, OCR), Full-Stack & Cloud Native development, and Custom ML models tailored to your unique data.

We work with organizations of all sizes. Our mission is to make enterprise-grade AI accessible beyond companies with large engineering teams. Whether you're a startup looking to automate operations or an enterprise needing custom ML solutions, we can help.

We serve clients across various industries including Real Estate, healthcare, finance, manufacturing, retail, and professional services. Our solutions are industry-agnostic and tailored to your specific business needs.

Absolutely. We specialize in integrating with existing CRMs, ERPs, and business tools. We can work with your current tech stack and build bridges between disconnected systems.

Our pricing is determined per client based on their specific needs and project scope. We offer three general tiers: Simple solutions (under $1,000) for straightforward automation, Robust solutions ($5,000) for comprehensive integrations, and Advanced solutions ($5,000+) for custom ML models and enterprise platforms. Every project is quoted individually based on requirements.

Project timelines vary based on complexity. Simple automations can be delivered in weeks, while comprehensive AI platforms may take several months. We focus on delivering production-ready solutions, not prototypes, so timelines are realistic and account for proper testing and deployment.

We prioritize long-term partnerships over one-off projects. Our engagements typically start with a strategic roadmap (12-24 months), followed by phased implementation. We embed with your team for seamless knowledge transfer and ensure you own all code and IP.

Yes. We believe in long-term partnerships and offer ongoing support, maintenance, and optimization services. We can also help you scale solutions as your business grows.

You do. 100% client ownership is one of our core principles. All code, models, and IP developed for your project belong to you. We retain no rights to your proprietary solutions.

Security is paramount. We implement enterprise-grade governance standards, support private LLM deployments, and can deploy on-premise solutions when required. All systems are built with compliance and security from day one.

Yes. We support both cloud and on-premise deployments. For organizations with strict data governance requirements, we can build solutions that run entirely within your infrastructure.

We focus on backend, data, and AI systems.

Our core stack includes Python and TypeScript, with Node.js and Next.js used primarily for APIs, server-side logic, and service orchestration.

For AI and data workloads, we use modern ML and LLM frameworks (PyTorch, TensorFlow, and leading foundation models) to build production RAG systems, document intelligence pipelines, and multi-agent workflows.

We design robust data layers using PostgreSQL (including pgvector and TimescaleDB), cloud storage, and event-driven architectures. Data pipelines are built with Python, SQL, REST APIs, and WebSockets, supporting both batch and real-time workloads.

Automation is a core capability. We integrate n8n and Make with custom backend services to create reliable, auditable workflows that connect AI systems with business tools and external platforms.

All systems are deployed on AWS, Azure, or GCP using containerized and serverless architectures, with CI/CD, monitoring, security, and scalability built in from the start.

We select technologies based on your problem, scale, and operational needs, prioritizing maintainability, reliability, and long-term growth.

We embed with your team throughout the project, providing documentation, training, and hands-on collaboration. Our goal is to ensure your team can maintain and extend solutions independently.

We focus on first principles problem-solving, craftsmanship in code quality, complete transparency (no black boxes), and true partnership. Unlike agencies that deliver prototypes, we build production-ready systems you own completely.

Yes, we are a fully remote team. We work with clients globally and have processes in place to ensure effective collaboration regardless of location.

We design all solutions with scalability in mind. Since you own the code, you can modify it anytime. We also offer ongoing support to help you scale and adapt solutions as your needs evolve.