SERVICES

What we build

Codesvalley is a full-spectrum engineering team. We do four things — well — across the AI stack.

→ 01

AI Products

Agents, copilots, RAG, and LLM-powered features inside your product.

What we deliver

  • · Production-grade agent or copilot, end to end
  • · Retrieval pipelines with eval harnesses
  • · Tool/use integrations and orchestration
  • · Observability and continuous evaluation

Good fit when

  • + You have a real user problem an LLM could help with
  • + You want a team that ships, not consults
  • + You value evaluation rigor as much as features

Not a fit when

  • – You want a thin wrapper around ChatGPT in two weeks
  • – You expect us to ship without access to your domain experts

Tech

Anthropic API · OpenAI · TypeScript · Python · Postgres + pgvector

→ 02

ML Engineering

Training, fine-tuning, evaluation, model deployment, and MLOps.

What we deliver

  • · Fine-tuned models with held-out eval sets
  • · Production inference services
  • · Training and evaluation pipelines
  • · Cost and latency optimization

Good fit when

  • + You have data and a clear objective metric
  • + You are past the prompt-engineering stage and need real model work

Not a fit when

  • – You want to "do AI" without a defined use case

Tech

PyTorch · JAX · Modal · Ray · Weights & Biases

→ 03

Full-Stack Software

The web apps, dashboards, APIs, and mobile around your AI.

What we deliver

  • · Production web applications
  • · Internal tools and admin dashboards
  • · APIs and data pipelines
  • · Mobile apps when they are the right fit

Good fit when

  • + You need a small, senior team that owns the whole stack
  • + You want to ship a vertical slice in weeks, not quarters

Not a fit when

  • – You need 30 contractors yesterday

Tech

Next.js · TypeScript · Postgres · React Native · Vercel · AWS

→ 04

AI Strategy

Audits, roadmaps, and prototypes for teams figuring out where AI fits.

What we deliver

  • · Opportunity audit across your product
  • · Prioritized AI roadmap with eval criteria
  • · Working prototypes for the top-ranked bets
  • · Hiring and team-shape recommendations

Good fit when

  • + You are early in your AI journey and want a sharp opinion, not a slide deck
  • + You will let engineers ship prototypes, not just write strategy

Not a fit when

  • – You want a pure consulting deliverable with no code

Tech

Workshop format · Prototype sprints · 2-6 weeks

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