salttechno/ai-development-cost-benchmark

AI Development Cost Benchmark 2026

How much does AI development cost in 2026? This open dataset provides structured cost benchmarks for 8 categories of AI development projects across 3 complexity tiers, with 24 records covering cost ranges, timelines, team sizes, deliverables, and tech stacks.

Published and maintained by Salt Technologies AI, the AI engineering division of Salt Technologies (14+ years, 800+ projects delivered).

Quick Links

• Interactive dataset page: salttechno.ai/datasets/ai-development-cost-benchmark-2026
• Download JSON: ai-development-cost-benchmark-2026.json
• Download CSV: ai-development-cost-benchmark-2026.csv

What's Inside

Project Type	Basic	Standard	Enterprise
AI Readiness Audit	$3K - $5K	$5K - $12K	$12K - $25K
AI Proof of Concept	$5K - $10K	$8K - $20K	$20K - $50K
AI Chatbot / Copilot	$5K - $15K	$12K - $40K	$40K - $150K
RAG Knowledge Base	$10K - $20K	$15K - $45K	$45K - $100K
Custom AI Agent	$15K - $30K	$20K - $60K	$60K - $200K
AI Integration	$8K - $18K	$15K - $40K	$40K - $100K
AI Workflow Automation	$5K - $12K	$8K - $25K	$25K - $75K
AI Managed Team	$12K - $15K/mo	$20K - $30K/mo	$30K - $60K/mo

Data Files

data/
  ai-development-cost-benchmark-2026.csv   # 24 records, 9 fields
  ai-development-cost-benchmark-2026.json  # Same data with schema + metadata

Schema

Field	Type	Description
projectType	string	Category of AI development project
complexity	enum	Basic, Standard, or Enterprise
costLow	number (USD)	25th percentile cost for this type/tier
costHigh	number (USD)	75th percentile cost for this type/tier
timelineWeeks	string	Estimated delivery timeline in weeks (or "Monthly")
teamSize	string	Recommended team size range
industries	string[]	Applicable industry verticals
includedDeliverables	string[]	Key deliverables included at this tier
techStack	string[]	Common technologies used

Complexity Tiers

• Basic: Single-purpose scope, 1-2 person team, standard tech stack, no compliance requirements
• Standard: Multi-feature scope, 2-5 person team, production-grade architecture, basic security
• Enterprise: Full-scale deployment with compliance (HIPAA, SOC2, PCI-DSS), multi-region, custom training, dedicated teams

Usage Examples

Python (pandas)

import pandas as pd

df = pd.read_csv("data/ai-development-cost-benchmark-2026.csv")

# Average cost by project type
df["cost_mid"] = (df["cost_low_usd"] + df["cost_high_usd"]) / 2
print(df.groupby("project_type")["cost_mid"].mean().sort_values(ascending=False))

# Filter enterprise-tier projects
enterprise = df[df["complexity"] == "Enterprise"]
print(enterprise[["project_type", "cost_low_usd", "cost_high_usd"]])

JavaScript / Node.js

import data from "./data/ai-development-cost-benchmark-2026.json" assert { type: "json" };

// List all project types
const types = [...new Set(data.records.map(r => r.projectType))];
console.log("Project types:", types);

// Find cheapest option
const cheapest = data.records.reduce((min, r) => r.costLow < min.costLow ? r : min);
console.log(`Cheapest: ${cheapest.projectType} (${cheapest.complexity}) at $${cheapest.costLow}`);

R

library(readr)

df <- read_csv("data/ai-development-cost-benchmark-2026.csv")

# Cost ranges by complexity
aggregate(cbind(cost_low_usd, cost_high_usd) ~ complexity, data = df, FUN = mean)

Methodology

Cost ranges are derived from three sources:

1. Delivery data from Salt Technologies' 800+ projects across AI readiness assessments, chatbots, RAG systems, AI agents, and managed engagements
2. Public proposal analysis of 50+ publicly available AI development proposals and RFPs from 2025 and 2026
3. Peer benchmarks from AI development firms serving the US mid-market

All figures are in USD. Ranges represent the 25th to 75th percentile for each complexity tier. Enterprise tier reflects projects with compliance requirements (HIPAA, SOC2, PCI-DSS), multi-region deployment, or custom model training. Pricing does not include ongoing infrastructure costs (cloud compute, API usage) unless noted.

See METHODOLOGY.md for full details.

Update Schedule

This benchmark is updated quarterly (Q1, Q2, Q3, Q4). The current version is Q1 2026, last updated February 15, 2026.

See CHANGELOG.md for version history.

Citation

If you use this dataset in your research, article, or product, please cite:

Salt Technologies AI. (2026). AI Development Cost Benchmark 2026 [Dataset].
https://www.salttechno.ai/datasets/ai-development-cost-benchmark-2026/

BibTeX:

@dataset{salttechnologiesai_2026_cost_benchmark,
  title     = {AI Development Cost Benchmark 2026},
  author    = {{Salt Technologies AI}},
  year      = {2026},
  publisher = {Salt Technologies AI},
  url       = {https://www.salttechno.ai/datasets/ai-development-cost-benchmark-2026/},
  license   = {CC BY 4.0}
}

A CITATION.cff file is included for automated citation tools.

License

This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

You are free to:

• Share — copy and redistribute the data in any medium or format
• Adapt — remix, transform, and build upon the data for any purpose, including commercial

As long as you:

• Give attribution — credit Salt Technologies AI and link to the dataset page

About the Publisher

Salt Technologies AI is the AI engineering division of Salt Technologies, a software development company with 14+ years of experience, 800+ projects delivered, and a team of 100+ engineers. Rated 4.9 on Clutch.

We build AI chatbots, RAG systems, AI agents, and workflow automation for SaaS, healthcare, fintech, and e-commerce companies.

• Website: www.salttechno.ai
• Datasets: www.salttechno.ai/datasets
• Contact: www.salttechno.ai/contact
• Parent company: www.salttechno.com