Problem

Specific addresses the gap between what AI coding agents can generate and what they can actually run in production. An agent may write application code, but provisioning databases, storage, services, secrets, environments, deployments, and operational controls still requires substantial manual configuration. That creates a costly bottleneck: the company’s own customer testimony says its abstraction has saved dozens, possibly hundreds, of hours compared with traditional MVP hosting setups.

The clearest use case is AI app-building platforms that create large numbers of isolated projects for end users. These platforms want to focus on generating applications rather than teaching their agents how to build and maintain a backend for every project. Specific’s value is therefore strongest when a coding agent must move repeatedly from a natural-language idea to a working, production-ready application without a human rebuilding the infrastructure layer each time.

Product / Service

Specific is an AI-native cloud and deployment platform that lets a coding agent define, run, deploy, and debug the full application stack. Developers can connect agents such as Claude Code, Codex, or Cursor; use specific dev to start a complete local environment; and use specific deploy to build and provision the application in the cloud. Its standard building blocks include services, Postgres, S3-compatible storage, Redis, secrets, and environments, accessed through normal protocols and environment variables rather than a proprietary application SDK.

The delivery model combines a free local CLI and free tier with usage-based cloud plans, including autoscaling services and managed resources, plus enterprise options such as bring-your-own-cloud and on-premises deployment. Specific uses a single configuration across local development and production, validates infrastructure changes before deployment, and handles the operational layer—builds, deployments, logs, metrics, secrets, and managed resources—so the agent can safely change infrastructure alongside application code.

Market

Specific competes in the emerging AI developer-tools and cloud infrastructure market, positioning itself as an AWS-like platform for coding agents. Its direct and adjacent substitutes include Vercel, Supabase, and Google Cloud for application hosting and backend services, as well as Terraform and Docker Compose for infrastructure declaration and local development. Specific’s differentiation is that it combines those workflows into one agent-oriented application platform rather than stopping at infrastructure provisioning or requiring developers to manage separate dashboards and integrations.

The company is active in Y Combinator’s Fall 2025 cohort and has public customer evidence, although the available materials do not disclose revenue or establish profitability. Specific’s site features users from companies including Way, Uplane, Valora, Xata, and Newly; Way says Specific powers tens of thousands of backends for its mobile-app users, while other testimonials describe replacing existing Vercel, Supabase, and Google Cloud setups. That indicates meaningful early usage and commercial validation, but the evidence is not sufficient to characterize the company definitively as either revenue-generating or pre-revenue.