Solutions That Fit Your Business

Project timelines vary based on scope and complexity. MVPs typically take 8-12 weeks, while enterprise solutions may span 3-6 months. We provide detailed timelines during the discovery phase, broken down by feature and sprint so you can see exactly how the schedule maps to deliverables. A typical MVP includes a 1-2 week discovery and design sprint, followed by 6-8 weeks of development in two-week iterations, plus 2 weeks for testing and deployment hardening. Enterprise projects take longer because they involve more integrations, compliance reviews, data migration, and stakeholder coordination. For example, a custom platform connecting to SAP, Salesforce, and an internal database with role-based access across multiple departments will naturally require more time than a standalone web application. We demo working software every two weeks regardless of project size, so you always have visibility into progress and can adjust priorities without waiting until the end.

We work with organizations of all sizes, from pre-seed startups to large enterprises. Our startup solutions are designed for rapid MVP development and scaling, focusing on validating your core hypothesis with the minimum viable feature set before investing in secondary features. We help startups make smart technology choices early, like choosing frameworks and architectures that support growth without requiring a full rewrite at the Series A stage. Our enterprise offerings handle complex integrations, compliance requirements, multi-team coordination, and legacy system modernization. The main difference between engagements is scope, not quality. A startup might get a two-person team for 10 weeks to ship an MVP, while an enterprise engagement might involve six engineers over six months building a platform with SSO, audit logging, and multi-region deployment. Both receive the same senior-level engineering talent, code review rigor, and documentation standards that we apply to every project we deliver.

We are technology-agnostic but specialize in modern stacks including React and Next.js for frontends, Node.js and Python for backends, cloud platforms like AWS, GCP, and Azure, and AI/ML frameworks including LangChain, Mastra AI, and LangGraph. For mobile development, we work with React Native and Flutter for cross-platform apps, and Swift and Kotlin for native iOS and Android when maximum performance is needed. On the data side, we build pipelines with Apache Airflow, dbt, and streaming platforms like Apache Kafka. For infrastructure, we use Terraform for infrastructure-as-code, Docker and Kubernetes for containerization, and GitHub Actions or GitLab CI for continuous integration and deployment. We choose the best tools for your specific needs rather than forcing a single stack onto every project. If your team already works in a particular ecosystem, we build on that foundation instead of introducing unnecessary complexity or migration overhead.

We use agile methodologies with two-week sprints, daily standups when needed, and regular demos of working software. You get a dedicated project manager who serves as your single point of contact and handles scheduling, status reporting, and escalation. Your team also has direct access to our engineers via Slack, Microsoft Teams, or your preferred communication tool for day-to-day technical questions. At the start of each sprint, we run a planning session where we agree on priorities and scope for the next two weeks. At the end, we demo what was built and collect your feedback before planning the next iteration. We share a weekly written status summary covering completed work, upcoming tasks, risks, and any decisions that need your input. For larger projects, we maintain a shared board in Linear or Jira where you can track progress in real time without needing to chase updates or schedule additional status meetings.

We offer flexible support options including dedicated support teams, SLA-based maintenance, and ongoing development retainers. The first month after launch typically involves heightened monitoring where we watch error rates, performance metrics, and user feedback channels closely to catch and resolve issues quickly. After that stabilization period, support transitions to a structured monthly arrangement with a set number of development hours for bug fixes, minor feature additions, security patches, and dependency updates. We also provide comprehensive documentation covering architecture decisions, deployment procedures, API references, and troubleshooting guides so your internal team can handle routine maintenance independently if preferred. Many clients continue with us for iterative improvements and new features, treating us as an ongoing engineering partner rather than a one-time project vendor. We also run quarterly review sessions to identify optimization opportunities, assess technical debt, and plan feature roadmaps aligned with your business priorities.

Absolutely. Our team extension model lets our specialists integrate directly with your existing engineering team. They follow your processes, use your tools, and contribute to your codebase as if they were full-time employees. This means working in your repositories, following your branching strategy and code review practices, joining your standups, and communicating through your preferred channels. We match engineers based on both technical skills and team dynamics, so the integration feels natural from the first week. For example, if your team uses GitHub with pull request reviews and a trunk-based branching model, our engineers adopt that workflow immediately rather than introducing their own process. Knowledge transfer happens continuously through pair programming, code reviews, and shared documentation rather than in a single handoff session at the end. This approach works well for companies that need to scale capacity quickly or add specialized skills like AI, cloud architecture, or mobile engineering.