Frequently Asked Questions

It starts with a conversation. Book a call or fill out our contact form, and we'll schedule a discovery session to understand your goals, stack, and timeline. From there we scope, estimate, and build.

We work on a project basis with scoped deliverables, fixed timelines, and transparent pricing. No retainers, no bloated PM overhead. You get direct access to the engineers building your product.

It depends on scope. An AI strategy audit takes 2 to 3 weeks. A custom multi-agent system is typically 8 to 16 weeks. Shopify builds range from 4 to 12 weeks. We'll give you a realistic timeline during discovery.

We provide fixed-fee project pricing after a discovery phase. No hourly billing surprises. Cost depends on scope, complexity, and integrations. We'll give you a transparent breakdown before any work begins.

Every engagement includes a 30-day hypercare period after launch. We monitor, fix any issues, and ensure the system performs as expected in production. Beyond that, we offer ongoing support agreements if needed.

Yes. We include documentation and hands-on training for every system we build. Our goal is to make your team self-sufficient, not dependent on us. We'll walk your team through architecture, workflows, and day-to-day operations.

It happens. We handle scope changes transparently: we assess the impact, give you a revised timeline and cost, and only proceed with your approval. No hidden charges, no ambiguity.

You can, and some companies should. But building an in-house AI team takes 6 to 12 months of recruiting, onboarding, and iteration before you see results. We ship production systems in weeks because we've already solved the hard problems. Many clients start with us and transition to in-house over time, with our systems as the foundation.

Traditional automation follows rigid scripts. Agentic AI systems can reason, adapt, and execute multi-step workflows autonomously. They make decisions based on real-time data and self-correct when conditions change, which is fundamentally different from if/then rule engines.

No. Our neural integration approach embeds AI into your current systems: ERP, CRM, commerce platforms. We augment what you have, not rip and replace. The goal is to make your existing stack intelligent, not obsolete.

We're model-agnostic. We work with OpenAI, Anthropic, Google Gemini, open-source models (Llama, Mistral), and custom fine-tuned models depending on your use case, cost constraints, and data privacy requirements.

Data security is foundational, not an afterthought. We support on-premise model deployment, private cloud hosting, and encrypted data pipelines. Your data never leaves your infrastructure unless you want it to. We sign NDAs as standard practice and build to your compliance requirements (SOC 2, HIPAA, GDPR).

That's the norm, not the exception. Our autonomous data pipeline service handles schema evolution, data cleaning, and normalization as part of the integration. We build self-healing ETL processes that adapt to changing data formats without breaking.

Our agent architectures include policy constraints, inter-agent messaging protocols, and fallback hierarchies. When agents encounter conflicts, they escalate based on predefined rules or defer to a supervisor agent. Every decision is logged for observability, so you can trace exactly what happened and why.

Yes. We build agents that connect to whatever systems your team uses. If it has an API, we can integrate it. If it doesn't, we build adapters. The goal is agents that work within your existing workflow, not ones that require your team to change how they operate.

Every engagement is tied to operational metrics: cycle time reduction, error elimination, throughput increase, cost savings. We define success criteria during discovery and build dashboards so you can track impact in real time. If we can't demonstrate measurable value, we don't recommend building it.

Yes. We're certified Shopify Plus Partners with deep experience in custom themes, app development, checkout extensibility, and platform migrations.

Absolutely. We handle full-stack migrations including data, URL mapping, SEO preservation, and parallel testing to ensure zero downtime and no traffic loss.

Yes. We build cross-platform mobile apps with Flutter, delivering native performance on both iOS and Android from a single codebase. We handle everything from UI/UX design through App Store submission.

Shopify Plus, Salesforce Commerce Cloud (SFCC), BigCommerce, and headless commerce architectures using Hydrogen, Next.js, or Nuxt. We also integrate with Stripe, Klaviyo, Contentful, and other ecosystem tools. We'll recommend the right platform based on your catalog size, growth plans, and operational needs.

Yes. We offer performance optimization, conversion rate optimization (CRO), and incremental improvements to existing storefronts. Sometimes a focused intervention on site speed, checkout flow, or search delivers more value than a replatform.

Always. Every migration includes comprehensive URL mapping, 301 redirect implementation, schema markup, meta tag migration, and post-launch SEO monitoring. We preserve your organic traffic and rankings, not just your catalog data.

Yes, and this is where our two specialties converge. We build AI-powered search and merchandising, dynamic pricing engines, autonomous inventory optimization, and personalized product recommendations that integrate directly with Shopify, SFCC, or any headless commerce setup.

We cover the full SFCC stack: storefront development with SFRA and PWA Kit, cartridge development, Business Manager configuration, Order Management (OMS), and integrations with payment processors, ERP systems, and third-party services.

Yes. We've executed migrations from Magento, Salesforce B2C legacy storefronts, and custom platforms onto SFCC. This includes catalog migration, customer data transfer, URL structure mapping for SEO continuity, and parallel environment testing before cutover.

Absolutely. We build headless SFCC storefronts using PWA Kit on Managed Runtime: React-based, fast, and fully integrated with Salesforce's Commerce API. It's our preferred approach for brands that need performance and composability without losing native SFCC capabilities.

We follow Salesforce's cartridge layering approach. All customizations live in project-specific cartridges that sit above the core SFRA cartridge chain. This keeps your base platform upgradeable and your customizations isolated, so platform updates don't require full re-implementation.

Yes. We build SFCC integrations with SAP, NetSuite, Microsoft Dynamics, custom ERPs, and any system that exposes an API. We use a combination of SFCC Job Frameworks, service integrations, and webhook-driven architectures depending on your data volume and latency requirements.

A focused SFCC storefront build or re-platform typically runs 12 to 24 weeks depending on catalog complexity, integrations, and localization requirements. Custom cartridge development and integrations can be scoped independently. We provide fixed-fee project pricing after a discovery phase.

For AI: Python, FastAPI, vLLM, LangChain, LangGraph, and vector databases (pgvector, Pinecone, Weaviate). For web: React, Next.js, Vue, Nuxt, TypeScript. For mobile: Flutter. For infrastructure: AWS, GCP, Vercel, Docker, Kubernetes, Terraform. We pick the right tools for the problem, not the other way around.

We build with portability in mind. Our AI systems use abstraction layers that make model swapping straightforward. All code is yours, fully documented, and follows standard patterns your team can maintain. No proprietary lock-in, no vendor traps.

Every system we build includes logging, tracing, and alerting. For agentic systems specifically, we implement step-level observability so you can see what each agent decided, why it decided it, and how long each step took. We integrate with your existing monitoring stack (Datadog, Sentry, custom dashboards).

We run evaluation suites against curated test sets, perform adversarial testing for edge cases, and stage systems in shadow mode alongside your existing processes before cutover. For agentic systems, we test individual agent behaviors, inter-agent coordination, and end-to-end workflow outcomes.

Since 2020. We started as e-commerce specialists and pivoted fully to agentic AI in 2025. That commerce foundation (where downtime costs real revenue) shaped how we approach AI: with engineering rigor, measurable outcomes, and production-grade reliability.

Most AI agencies build demos. We build production systems. Our team has 10+ years shipping mission-critical commerce and engineering systems for enterprise brands. We bring that same rigor to AI: real observability, real error handling, real deployment pipelines. Not proof-of-concept decks.

Both. We work directly with brands and also partner with agencies as their technical delivery arm for AI and complex engineering work. If you're an agency looking for a reliable build partner, let's talk.

Los Angeles, California. We work with clients across the US and internationally. All engagements are remote-friendly with regular syncs on your schedule.