Cost guide · AI Engineering

How much does
AI development
cost in 2026?

AI development costs depend heavily on what you mean by "AI." A simple chatbot is different from a production RAG system.

Where Vedwix sits
Senior-to-premier. Evals before features.
Budget bands · 01

What you get at each tier.

Tier 01

Demo ($2k-10k)

$2,000-$10,000

What you get: A working chatbot prototype using off-the-shelf APIs.

Trade-offs: Production reliability, evals, observability, scale.

Tier 02

Mid-market ($15k-40k)

$15,000-$40,000

What you get: Production RAG with hybrid search, basic eval set, basic observability.

Trade-offs: Custom fine-tuning, agent orchestration, deep evals.

Tier 03

Senior studio ($40k-150k)

$40,000-$150,000

What you get: Production-grade RAG / agents / fine-tunes with proper evals, observability, and a 30-day post-launch.

Trade-offs: Speed (8-14 weeks).

Tier 04

Premier ($150k-1M+)

$150,000-$1M+

What you get: Custom architecture, proprietary fine-tunes, deep evals, multi-model orchestration, regulated-industry compliance.

Trade-offs: Budget.

Hidden costs · 02

Don't forget the add-ons.

  • Model API fees (OpenAI, Anthropic, etc.)
  • Vector database (pgvector or Pinecone)
  • Observability platform (Langfuse, Helicone)
  • Eval running costs
  • Compute for fine-tuning (Modal, Replicate)
  • Ongoing eval cycle costs
  • Compliance audits if regulated

What drives cost most

  • Type of AI feature (RAG vs fine-tune vs agent)
  • Evals rigor
  • Compliance requirements (HIPAA, SOC 2)
  • Data preparation
  • Custom infrastructure
  • Post-launch monitoring depth
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Vedwix context · 03

Where we sit.

Senior-to-premier. Evals before features.

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