Daylight

Services

Engineering services for AI products and the software around them.

AI Engineering is for companies whose product depends on third-party AI APIs and needs to be dependable and affordable. Software Engineering is for companies that need architecture, infrastructure and product work led by someone senior.

AI EngineeringProduction AI systems that stay reliable and cost what you planned. For early-stage companies shipping products on third-party AI APIs.

  1. 1.1AI reliability and cost auditEntry offer

    A fixed-scope review of an AI feature already in production. We look at how it fails, what each request costs, and how quality is checked, then give you a ranked list of what to fix first.

  2. 1.2Eval harness and model routing

    Evals and quality gates that tell you when a model change makes things worse. Routing that puts many models from several vendors behind one interface, so a new model is a configuration change.

  3. 1.3Agent and pipeline builds

    Agent systems built as dependable pipelines: time budgets on slow vendor calls, retries only for transient errors, idempotent requests, and charges only on success.

  4. 1.4ML infrastructure and GPU cost

    Training and serving infrastructure that does not pay for idle hardware. Hosts that shut themselves off, model services that scale to zero, and cost recorded per request.

Software EngineeringArchitecture, cloud infrastructure, DevOps and product development, led by a senior engineer. For companies that need senior-led delivery or fractional technical leadership.

  1. 2.1Senior-led delivery

    A senior lead owns architecture and review on every engagement. A vetted Eastern European team adds delivery capacity under the same standards and the same CI gates.

  2. 2.2Architecture, cloud and DevOps

    Infrastructure as code, staging and production built from the same definitions, and deploys that confirm the new revision is actually running.

  3. 2.3Product builds

    Web and mobile products from first commit to production: API design, real-time collaboration, performance work and access control.

  4. 2.4Fractional technical leadership

    A part-time CTO for companies that need technical direction and infrastructure decisions before a full-time hire makes sense.