Your AI Product.
Built in 90 Days.

Every engagement comes with an AI Strategy Audit, Technical Architecture Document, Investor Demo Package, 90-Day Scaling Roadmap, 30 days of post-launch support, and full IP ownership. These aren't add-ons — they're part of every project. Start with a free trial sprint to see our work before committing. See the full breakdown →

An AI MVP can be delivered in 4–8 weeks. Full production applications typically take 3–6 months depending on complexity, integrations, and data requirements. We use agile sprints with weekly demos — and our free trial sprint gets you a working prototype and architecture plan within the first 1–2 weeks.

Outsourcing is faster and more cost-effective for most startups and SMBs. Hiring an in-house AI team takes 3–6 months and costs $500K+ annually in salaries alone. Our average client partnership lasts over 2 years — most teams that start with us stay because the dedicated team model gives them senior AI engineers without the overhead of full-time hires.

Your data stays in your environment — we never train models on client data without explicit permission. We follow enterprise security standards including encrypted data transfer, strict access controls, audit logs, and compliance with GDPR, SOC2, and HIPAA.

Yes — without rebuilding from scratch. We add AI capabilities to existing tech stacks by connecting to CRMs, ERPs, databases, and internal tools via REST APIs, webhooks, or direct database integration. Whether it's an AI agent connected to Salesforce, intelligent search on your platform, or automated document processing, we fit into what you already have. See our AI Integration Services.

Yes. AI products need ongoing care — prompt tuning, model updates, performance monitoring, and capability expansion as your needs evolve. We offer monthly support retainers with SLA-backed response times and regular performance reports. Most of our long-term partnerships started as single projects that grew into ongoing relationships.

It depends on scope — try our free AI cost calculator for a personalized estimate in 2 minutes. As a general guide: MVPs and proof-of-concepts start at $15,000–$40,000, while full-scale AI products range from $50,000 to $200,000+. You can also start with our free 1–2 week trial sprint to evaluate our team before any financial commitment. See our full pricing with feature comparison →

A 1–2 week engagement where a dedicated developer works on your project at no cost. You get working code committed to your repo, an architecture and budget roadmap, and a candid feasibility assessment — yours to keep regardless. No contract, no credit card. If you love the results, full development starts the following week with the same team and the same momentum. If not, you walk away with real deliverables and no hard feelings. Start your free trial sprint →

All major LLMs, vector databases, and orchestration frameworks — including OpenAI, Anthropic, open-source models, Pinecone, LangChain, and LangGraph. We don't default to one stack. We select tools based on your use case, performance requirements, and budget. See our AI Agent Development page for the full breakdown.

You do. All custom code, models, documentation, and deliverables we create belong to you. We sign IP assignment agreements and provide full source code access from day one.

Three options: Fixed-price projects (from $15K) for well-defined scope, time-and-materials (from $40/hr) for evolving requirements, or dedicated teams (from $5K/month per developer) for ongoing development. Most clients start with a fixed-price MVP, then scale with a dedicated team.