Pricing

Clear scope before code.

404 Technologies takes a small number of AI-native builds each year. These ranges set the floor for serious work: agent systems, LLM products, SaaS surfaces, MCP servers, and the runbooks that keep them alive.

Engagements

Pick the smallest useful commitment.

Every build includes source ownership, a production deployment path, weekly demos, written async updates, handoff docs, and a 30-day post-launch support window.

1 week

Discovery Sprint

$4,500 fixed

For teams that need the right architecture and scope before committing to a build.

  • Architecture diagram and scoped build plan
  • Eval harness scaffold and recommendation memo
  • Two strategy calls with async Slack or email

8-14 weeks

AI Systems Build

From $40,000 scoped

LLM applications with model routing, fallback paths, structured outputs, and observability.

  • Voice, SMS, web, or operator-facing AI surfaces
  • Multi-provider routing across Claude, OpenAI, and fallback models
  • Dashboards, retries, traces, and on-call runbook

10-16 weeks

Full-Stack SaaS Build

From $60,000 scoped

Production SaaS foundations for funded teams shipping AI-native product surfaces.

  • Auth, billing, multi-tenancy, admin tooling, and deploys
  • Next.js, Postgres, Stripe, Vercel, Claude/OpenAI integrations
  • Sentry or OpenTelemetry observability baseline

2-4 weeks

MCP Server Development

From $12,000 per server

Typed MCP servers that expose internal systems to Claude Code, Claude Desktop, or agent runtimes.

  • Tool definitions, auth, observability, and docs
  • Claude integration testing and edge-case coverage
  • Hosted or self-hosted handoff

1 week

AI Coding Tools Advisory

$3,500 fixed

For engineering leaders rolling out Claude Code, Cursor, Codex, or agent-native team workflows.

  • Custom setup, skills, slash commands, hooks, and workflow document
  • Evaluation rubric for code-agent quality
  • Team adoption guidance grounded in your repo shape

3 month minimum

Post-Build Retainer

$4,000-$12,000 / month

For teams running production agents without an in-house AI engineer.

  • Eval reviews and prompt versioning
  • Model updates and regression monitoring
  • SLA based on agent count and support window

Fit

The lab is intentionally narrow.

The best engagements have a real operator, a clear business constraint, and enough urgency to ship the working system.

Strong fit

  • Custom AI agents with private knowledge and permissioned tools
  • Production LLM workflows for SaaS, ops, kitchens, or support
  • AI-native frontend rebuilds with measurable product goals
  • MCP servers for internal systems and coding-agent workflows

Out of scope

  • Pure marketing or content production
  • WordPress, Webflow, and no-code consulting
  • One-off prompt fixes under $3,500
  • Training datasets for model fine-tuning

Terms

Simple enough to start.

Prices are in USD. International clients are welcome. Discovery sprints are invoiced upfront; builds start with a signed SOW and deposit.

Deposit
50% on signed SOW
Balance
Milestone delivery or net-15
Ownership
You own custom source code
Updated
June 14, 2026