Adapter

Adapter is a product engineering agency founded in 2024 and headquartered remotely in Austin, Texas. The agency scopes, builds, and ships software including MVPs, system integrations, AI features, and internal tools. A key differentiator is that the same engineer who scopes the work also ships it, eliminating handoffs and layers. Adapter operates in weekly delivery cycles with senior engineers performing the implementation directly.

The agency maintains a minimum project budget of $10,000 to $25,000 and an average hourly rate of $125 per hour. With a team of fewer than 49 employees, Adapter focuses on full-stack depth across technologies such as TypeScript, Python, React, Next.js, Node.js, Django, PostgreSQL, MongoDB, AWS, and GCP. The agency selects technology based on what fits the problem rather than following trends.

Adapter's service offerings include AI development, software testing, software development, web development, and mobile app development. Within AI expertise, the agency provides AI application development, AI automation, AI consulting, AI customer service, agentic AI, conversational AI, and generative AI. Mobile app expertise covers B2B apps, cross-platform development, freelance projects, and insurance mobile app development, using Flutter and React Native. Software development expertise includes software consulting and startups software development.

The agency serves clients across AI, corporate services, delivery and takeaway, HR, and insurance industries. Client types range from startups and small businesses to medium businesses and enterprise or corporate organizations. Notable clients include FirstAmerican, CloneOps, and Rentana.

Adapter's portfolio features the CloneOps Integration Platform, an AI automation project with a budget between $100,000 and $250,000 completed over 14 months. The agency currently has no Google reviews listed on its DesignRush profile, so client sentiment data is unavailable from that source.

The agency positions itself as a technology-agnostic partner that picks the best tools for each problem, with a delivery model that prioritizes direct senior engineer involvement and rapid weekly cycles. This approach is particularly suited for startups and enterprises needing product engineering, MVPs, system integrations, and AI features.