Answers to the questions we hear most.

We build on modern, typed stacks: TypeScript, React, Next.js, and Node.js on the product side, Python for AI and data work, and PostgreSQL, AWS, and Docker for infrastructure. For AI we work with Claude, OpenAI, LangGraph, MCP, and vector stores like pgvector. Mobile spans React Native, Swift, and Kotlin.

We treat AI like engineering, not magic. That means grounding models in your real data with retrieval, wiring tool-use and function calling to your systems, adding guardrails and human-in-the-loop review where stakes are high, and measuring quality with evaluations rather than vibes. We also add observability and prompt versioning so behaviour stays stable as you ship.

An AI pilot is a fixed-scope proof of concept that turns one high-value use case into a working prototype, typically in 3 to 4 weeks. You get the prototype, an evaluation of how well it performs, and a clear go or no-go decision before you commit to a larger build.

We work in an agile rhythm with short iterations, regular check-ins, and visible progress. Communication and transparency are the default: you see the work as it happens through your own tools and rituals, so there are no surprises at the end of a sprint.

Security is built in, not bolted on. We follow secure coding practices, run vulnerability checks, scope access tightly, and apply data protection and privacy controls appropriate to your domain. For AI systems we add input and output guardrails and audit trails so you can trust what the system does.

Typed codebases, automated tests, and CI/CD are the default. We combine manual and automated testing to catch issues early, and we review for performance and security as part of delivery rather than as an upsell.

Requirements change, and our process expects it. We work closely with you to understand shifting priorities and adjust scope each iteration, keeping the project on budget and on schedule while staying focused on the outcomes that matter most.

Yes. You can embed a single senior engineer through staff augmentation or spin up a cross-functional AI pod that owns a roadmap end to end. Engineers work in your stack and timezone overlap, and you can scale the team up or down monthly.

You do, completely. Code, IP, and process belong to you from day one. We are an extension of your team, not a vendor that holds your product hostage.

We offer flexible models: fixed-price for well-scoped work like AI pilots, monthly rates for dedicated teams and staff augmentation, and project-based pricing for full builds. We keep pricing transparent so there are no surprises.

Yes. Software needs updates, monitoring, and care after launch. We offer ongoing maintenance and support so your product, and any AI systems within it, stay current and reliable.

Yes. We have shipped 160+ projects for 70+ clients worldwide since 2017, across AI agents, SaaS platforms, mobile apps, and e-commerce. You can browse selected work on our case studies page, and we are happy to share references on request.